Datasets:

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ftopal

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huggingface-datasets-processed

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[ "region:us" ]

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[ "TAGS\n#region-us \n" ]

[ 6 ]

[ "passage: TAGS\n#region-us \n" ]

[ "region:us" ]

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[ "# Dataset Card for Evaluation run of ENERGY-DRINK-LOVE/SOLAR_merge2_dpo\n\n\n\nDataset automatically created during the evaluation run of model ENERGY-DRINK-LOVE/SOLAR_merge2_dpo on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T02:26:27.652870(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of ENERGY-DRINK-LOVE/SOLAR_merge2_dpo\n\n\n\nDataset automatically created during the evaluation run of model ENERGY-DRINK-LOVE/SOLAR_merge2_dpo on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T02:26:27.652870(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 199, 67, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of ENERGY-DRINK-LOVE/SOLAR_merge2_dpo\n\n\n\nDataset automatically created during the evaluation run of model ENERGY-DRINK-LOVE/SOLAR_merge2_dpo on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T02:26:27.652870(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]" ]

[ "task_categories:text-classification", "language:en", "license:other", "region:us" ]

[]

[ "en" ]

[ "# Dataset Card for Dataset Name\n\n\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#task_categories-text-classification #language-English #license-other #region-us \n", "# Dataset Card for Dataset Name\n\n\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 26, 34, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#task_categories-text-classification #language-English #license-other #region-us \n# Dataset Card for Dataset Name\n\n\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]## Dataset Card Contact" ]

[ "task_categories:text-generation", "language:en", "license:apache-2.0", "code", "react", "nextjs", "frontend", "region:us" ]

[]

[ "en" ]

[ "## Overview\nThis dataset features a curated collection of questions and answers synthesized to cover key topics in Frontend development. Topics include HTML. CSS, JS, React JS, Next JS in a circullum manner.", "## Caution\n\nThis dataset was generated using Bard, please note that some content may not be entirely precise or reflect expert consensus. \nUsers are encouraged to verify information independently for scholarly or critical purposes." ]

[ "TAGS\n#task_categories-text-generation #language-English #license-apache-2.0 #code #react #nextjs #frontend #region-us \n", "## Overview\nThis dataset features a curated collection of questions and answers synthesized to cover key topics in Frontend development. Topics include HTML. CSS, JS, React JS, Next JS in a circullum manner.", "## Caution\n\nThis dataset was generated using Bard, please note that some content may not be entirely precise or reflect expert consensus. \nUsers are encouraged to verify information independently for scholarly or critical purposes." ]

[ 41, 54, 48 ]

[ "passage: TAGS\n#task_categories-text-generation #language-English #license-apache-2.0 #code #react #nextjs #frontend #region-us \n## Overview\nThis dataset features a curated collection of questions and answers synthesized to cover key topics in Frontend development. Topics include HTML. CSS, JS, React JS, Next JS in a circullum manner.## Caution\n\nThis dataset was generated using Bard, please note that some content may not be entirely precise or reflect expert consensus. \nUsers are encouraged to verify information independently for scholarly or critical purposes." ]

[ "license:cc-by-nc-4.0", "region:us" ]

[]

[]

[ "## Description\n\n Footage of all flags of the world!", "## Model\n\nSVD", "## Tags\n\n- Flags", "## Voice\n\nJulian", "## Music\n\nbalearic deep house music", "## Prompt\n\nA video channel about flags" ]

[ "TAGS\n#license-cc-by-nc-4.0 #region-us \n", "## Description\n\n Footage of all flags of the world!", "## Model\n\nSVD", "## Tags\n\n- Flags", "## Voice\n\nJulian", "## Music\n\nbalearic deep house music", "## Prompt\n\nA video channel about flags" ]

[ 17, 12, 4, 5, 3, 8, 10 ]

[ "passage: TAGS\n#license-cc-by-nc-4.0 #region-us \n## Description\n\n Footage of all flags of the world!## Model\n\nSVD## Tags\n\n- Flags## Voice\n\nJulian## Music\n\nbalearic deep house music## Prompt\n\nA video channel about flags" ]

[ "license:apache-2.0", "region:us" ]

[]

[]

[ "# Dr. Nicefollows's Worry Free General Chat Dataset v1", "## Overview\nThis dataset contains high-quality general chat samples questions and answers. It is designed following the LIMA: Less Is More for Alignment principle from MetaAI: emphasizing the importance of quality over quantity in training data. Despite its modest size, the dataset's quality ensures its effectiveness in training and fine-tuning conversational AI models.\nIn this version, each chat has one user query and assistant answer. In the next version, it will become a conversation of multiple rounds.", "## Dataset Format\nThe dataset is structured in the Vicuna 1.1 format, featuring one-round chats. This format is chosen for its compatibility with various conversational AI training paradigms and its efficiency in representing dialogues.", "## Volume\nThe dataset comprises a few thousand chat samples. Each sample has been carefully curated to ensure the highest quality, aligning with the LIMA principle.", "## Licensing\nOur dataset is worry-free regarding proprietary issues, as it is not automatically generated by a proprietary chatbot. This dataset is released under the Apache License 2.0. This license allows for broad freedom in usage and modification, provided that proper credit is given and changes are documented. For full license terms, please refer to the LICENSE file.", "## Use Case\nThis dataset is ideal for training conversational AI models. It can help in developing chatbots or virtual assistants capable of handling a wide range of queries with high accuracy. To use the dataset for finetuning a model with Axolotl, simply add the following to the .yml file:\ndatasets:\n - path: DrNicefellow/Quality_WorryFree_GeneralQA_Chat_Dataset-v1\n - type: completion", "## Feeling Generous? \nEager to buy me a cup of 2$ coffe or iced tea? Sure, here is the link: URL Please add a note on which one you want me to drink?" ]

[ "TAGS\n#license-apache-2.0 #region-us \n", "# Dr. Nicefollows's Worry Free General Chat Dataset v1", "## Overview\nThis dataset contains high-quality general chat samples questions and answers. It is designed following the LIMA: Less Is More for Alignment principle from MetaAI: emphasizing the importance of quality over quantity in training data. Despite its modest size, the dataset's quality ensures its effectiveness in training and fine-tuning conversational AI models.\nIn this version, each chat has one user query and assistant answer. In the next version, it will become a conversation of multiple rounds.", "## Dataset Format\nThe dataset is structured in the Vicuna 1.1 format, featuring one-round chats. This format is chosen for its compatibility with various conversational AI training paradigms and its efficiency in representing dialogues.", "## Volume\nThe dataset comprises a few thousand chat samples. Each sample has been carefully curated to ensure the highest quality, aligning with the LIMA principle.", "## Licensing\nOur dataset is worry-free regarding proprietary issues, as it is not automatically generated by a proprietary chatbot. This dataset is released under the Apache License 2.0. This license allows for broad freedom in usage and modification, provided that proper credit is given and changes are documented. For full license terms, please refer to the LICENSE file.", "## Use Case\nThis dataset is ideal for training conversational AI models. It can help in developing chatbots or virtual assistants capable of handling a wide range of queries with high accuracy. To use the dataset for finetuning a model with Axolotl, simply add the following to the .yml file:\ndatasets:\n - path: DrNicefellow/Quality_WorryFree_GeneralQA_Chat_Dataset-v1\n - type: completion", "## Feeling Generous? \nEager to buy me a cup of 2$ coffe or iced tea? Sure, here is the link: URL Please add a note on which one you want me to drink?" ]

[ 14, 17, 116, 50, 36, 79, 106, 45 ]

[ "passage: TAGS\n#license-apache-2.0 #region-us \n# Dr. Nicefollows's Worry Free General Chat Dataset v1## Overview\nThis dataset contains high-quality general chat samples questions and answers. It is designed following the LIMA: Less Is More for Alignment principle from MetaAI: emphasizing the importance of quality over quantity in training data. Despite its modest size, the dataset's quality ensures its effectiveness in training and fine-tuning conversational AI models.\nIn this version, each chat has one user query and assistant answer. In the next version, it will become a conversation of multiple rounds.## Dataset Format\nThe dataset is structured in the Vicuna 1.1 format, featuring one-round chats. This format is chosen for its compatibility with various conversational AI training paradigms and its efficiency in representing dialogues.## Volume\nThe dataset comprises a few thousand chat samples. Each sample has been carefully curated to ensure the highest quality, aligning with the LIMA principle.## Licensing\nOur dataset is worry-free regarding proprietary issues, as it is not automatically generated by a proprietary chatbot. This dataset is released under the Apache License 2.0. This license allows for broad freedom in usage and modification, provided that proper credit is given and changes are documented. For full license terms, please refer to the LICENSE file.## Use Case\nThis dataset is ideal for training conversational AI models. It can help in developing chatbots or virtual assistants capable of handling a wide range of queries with high accuracy. To use the dataset for finetuning a model with Axolotl, simply add the following to the .yml file:\ndatasets:\n - path: DrNicefellow/Quality_WorryFree_GeneralQA_Chat_Dataset-v1\n - type: completion## Feeling Generous? \nEager to buy me a cup of 2$ coffe or iced tea? Sure, here is the link: URL Please add a note on which one you want me to drink?" ]

[ "task_categories:text-classification", "task_categories:question-answering", "task_categories:zero-shot-classification", "task_categories:feature-extraction", "task_categories:text-generation", "size_categories:100K<n<1M", "language:en", "license:cc-by-4.0", "Large Language Models", "arxiv:2402.08831", "region:us" ]

[ "2402.08831" ]

[ "en" ]

[]

[ "TAGS\n#task_categories-text-classification #task_categories-question-answering #task_categories-zero-shot-classification #task_categories-feature-extraction #task_categories-text-generation #size_categories-100K<n<1M #language-English #license-cc-by-4.0 #Large Language Models #arxiv-2402.08831 #region-us \n" ]

[ 105 ]

[ "passage: TAGS\n#task_categories-text-classification #task_categories-question-answering #task_categories-zero-shot-classification #task_categories-feature-extraction #task_categories-text-generation #size_categories-100K<n<1M #language-English #license-cc-by-4.0 #Large Language Models #arxiv-2402.08831 #region-us \n" ]

[ "task_categories:question-answering", "task_categories:text2text-generation", "region:us" ]

[]

[]

[ "### Reference:\n- \"A Question-Entailment Approach to Question Answering\". Asma Ben Abacha and Dina Demner-Fushman. BMC Bioinformatics, 2019." ]

[ "TAGS\n#task_categories-question-answering #task_categories-text2text-generation #region-us \n", "### Reference:\n- \"A Question-Entailment Approach to Question Answering\". Asma Ben Abacha and Dina Demner-Fushman. BMC Bioinformatics, 2019." ]

[ 31, 41 ]

[ "passage: TAGS\n#task_categories-question-answering #task_categories-text2text-generation #region-us \n### Reference:\n- \"A Question-Entailment Approach to Question Answering\". Asma Ben Abacha and Dina Demner-Fushman. BMC Bioinformatics, 2019." ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of dddsaty/FusionNet_7Bx2_MoE_Ko_DPO_Adapter_Attach\n\n\n\nDataset automatically created during the evaluation run of model dddsaty/FusionNet_7Bx2_MoE_Ko_DPO_Adapter_Attach on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T04:17:47.999729(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of dddsaty/FusionNet_7Bx2_MoE_Ko_DPO_Adapter_Attach\n\n\n\nDataset automatically created during the evaluation run of model dddsaty/FusionNet_7Bx2_MoE_Ko_DPO_Adapter_Attach on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T04:17:47.999729(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 217, 68, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of dddsaty/FusionNet_7Bx2_MoE_Ko_DPO_Adapter_Attach\n\n\n\nDataset automatically created during the evaluation run of model dddsaty/FusionNet_7Bx2_MoE_Ko_DPO_Adapter_Attach on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T04:17:47.999729(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:" ]

[ "task_categories:text-generation", "size_categories:10K<n<100K", "language:en", "license:mit", "code", "challege", "codegolf", "region:us" ]

[]

[ "en" ]

[]

[ "TAGS\n#task_categories-text-generation #size_categories-10K<n<100K #language-English #license-mit #code #challege #codegolf #region-us \n" ]

[ 46 ]

[ "passage: TAGS\n#task_categories-text-generation #size_categories-10K<n<100K #language-English #license-mit #code #challege #codegolf #region-us \n" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of Test157t/Prima-Pastacles-7b-128k\n\n\n\nDataset automatically created during the evaluation run of model Test157t/Prima-Pastacles-7b-128k on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T04:48:26.646856(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of Test157t/Prima-Pastacles-7b-128k\n\n\n\nDataset automatically created during the evaluation run of model Test157t/Prima-Pastacles-7b-128k on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T04:48:26.646856(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 191, 68, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of Test157t/Prima-Pastacles-7b-128k\n\n\n\nDataset automatically created during the evaluation run of model Test157t/Prima-Pastacles-7b-128k on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T04:48:26.646856(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of Lvxy1117/amber_fine_tune_sgall\n\n\n\nDataset automatically created during the evaluation run of model Lvxy1117/amber_fine_tune_sgall on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T04:49:00.115070(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of Lvxy1117/amber_fine_tune_sgall\n\n\n\nDataset automatically created during the evaluation run of model Lvxy1117/amber_fine_tune_sgall on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T04:49:00.115070(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 191, 67, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of Lvxy1117/amber_fine_tune_sgall\n\n\n\nDataset automatically created during the evaluation run of model Lvxy1117/amber_fine_tune_sgall on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T04:49:00.115070(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]" ]

[ "region:us" ]

[]

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[ "# Dataset Card for Evaluation run of Test157t/Pasta-PrimaMaid-7b\n\n\n\nDataset automatically created during the evaluation run of model Test157t/Pasta-PrimaMaid-7b on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T05:01:29.583377(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of Test157t/Pasta-PrimaMaid-7b\n\n\n\nDataset automatically created during the evaluation run of model Test157t/Pasta-PrimaMaid-7b on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T05:01:29.583377(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 187, 68, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of Test157t/Pasta-PrimaMaid-7b\n\n\n\nDataset automatically created during the evaluation run of model Test157t/Pasta-PrimaMaid-7b on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T05:01:29.583377(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]## Dataset Card Contact" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of Test157t/Kunocchini-7b-128k-test\n\n\n\nDataset automatically created during the evaluation run of model Test157t/Kunocchini-7b-128k-test on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T05:06:44.993569(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of Test157t/Kunocchini-7b-128k-test\n\n\n\nDataset automatically created during the evaluation run of model Test157t/Kunocchini-7b-128k-test on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T05:06:44.993569(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 191, 68, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of Test157t/Kunocchini-7b-128k-test\n\n\n\nDataset automatically created during the evaluation run of model Test157t/Kunocchini-7b-128k-test on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T05:06:44.993569(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]" ]

[ "task_categories:question-answering", "task_categories:text2text-generation", "region:us" ]

[]

[]

[ "### Reference:\n- \"A Question-Entailment Approach to Question Answering\". Asma Ben Abacha and Dina Demner-Fushman. BMC Bioinformatics, 2019." ]

[ "TAGS\n#task_categories-question-answering #task_categories-text2text-generation #region-us \n", "### Reference:\n- \"A Question-Entailment Approach to Question Answering\". Asma Ben Abacha and Dina Demner-Fushman. BMC Bioinformatics, 2019." ]

[ 31, 41 ]

[ "passage: TAGS\n#task_categories-question-answering #task_categories-text2text-generation #region-us \n### Reference:\n- \"A Question-Entailment Approach to Question Answering\". Asma Ben Abacha and Dina Demner-Fushman. BMC Bioinformatics, 2019." ]

[ "region:us" ]

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[]

[ "# Dataset Card for Evaluation run of Test157t/Kunocchini-7b\n\n\n\nDataset automatically created during the evaluation run of model Test157t/Kunocchini-7b on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T05:12:00.698748(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of Test157t/Kunocchini-7b\n\n\n\nDataset automatically created during the evaluation run of model Test157t/Kunocchini-7b on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T05:12:00.698748(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 181, 68, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of Test157t/Kunocchini-7b\n\n\n\nDataset automatically created during the evaluation run of model Test157t/Kunocchini-7b on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T05:12:00.698748(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]## Dataset Card Contact" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of Test157t/HerculeanSea-upd-7b-128k\n\n\n\nDataset automatically created during the evaluation run of model Test157t/HerculeanSea-upd-7b-128k on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T05:19:01.826771(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of Test157t/HerculeanSea-upd-7b-128k\n\n\n\nDataset automatically created during the evaluation run of model Test157t/HerculeanSea-upd-7b-128k on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T05:19:01.826771(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 195, 68, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of Test157t/HerculeanSea-upd-7b-128k\n\n\n\nDataset automatically created during the evaluation run of model Test157t/HerculeanSea-upd-7b-128k on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T05:19:01.826771(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of Test157t/HerculeanSea-7b-128k\n\n\n\nDataset automatically created during the evaluation run of model Test157t/HerculeanSea-7b-128k on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T05:24:52.371385(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of Test157t/HerculeanSea-7b-128k\n\n\n\nDataset automatically created during the evaluation run of model Test157t/HerculeanSea-7b-128k on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T05:24:52.371385(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 189, 67, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of Test157t/HerculeanSea-7b-128k\n\n\n\nDataset automatically created during the evaluation run of model Test157t/HerculeanSea-7b-128k on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T05:24:52.371385(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]## Dataset Card Contact" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for \"gaze-following-test\"\n\nMore Information needed" ]

[ "TAGS\n#region-us \n", "# Dataset Card for \"gaze-following-test\"\n\nMore Information needed" ]

[ 6, 17 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for \"gaze-following-test\"\n\nMore Information needed" ]

[ "language:en", "license:cc-by-nc-4.0", "region:us" ]

[]

[ "en" ]

[]

[ "TAGS\n#language-English #license-cc-by-nc-4.0 #region-us \n" ]

[ 21 ]

[ "passage: TAGS\n#language-English #license-cc-by-nc-4.0 #region-us \n" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of FelixChao/Scorpio-7B\n\n\n\nDataset automatically created during the evaluation run of model FelixChao/Scorpio-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T06:06:41.057848(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of FelixChao/Scorpio-7B\n\n\n\nDataset automatically created during the evaluation run of model FelixChao/Scorpio-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T06:06:41.057848(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 179, 68, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of FelixChao/Scorpio-7B\n\n\n\nDataset automatically created during the evaluation run of model FelixChao/Scorpio-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T06:06:41.057848(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]## Dataset Card Contact" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for \"ControlLM_Personalities\"\n\nMore Information needed" ]

[ "TAGS\n#region-us \n", "# Dataset Card for \"ControlLM_Personalities\"\n\nMore Information needed" ]

[ 6, 16 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for \"ControlLM_Personalities\"\n\nMore Information needed" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for \"high_vs_random_with_med_low_min_100_issues_per_repo\"\n\nMore Information needed" ]

[ "TAGS\n#region-us \n", "# Dataset Card for \"high_vs_random_with_med_low_min_100_issues_per_repo\"\n\nMore Information needed" ]

[ 6, 34 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for \"high_vs_random_with_med_low_min_100_issues_per_repo\"\n\nMore Information needed" ]

[ "task_categories:question-answering", "task_categories:text-generation", "size_categories:1K<n<10K", "language:ja", "license:apache-2.0", "region:us" ]

[]

[ "ja" ]

[ "# Aya_ja\n\n\n\nこのデータセットは'CohereForAI/aya_dataset'の日本語インストラクションデータのみを抽出したデータセットです。\n\n人手でアノテーションされた指示応答のペアが6,259件収録されています。", "## pythonでの使用例", "## 例", "## 参考\nCohereForAI/aya_dataset" ]

[ "TAGS\n#task_categories-question-answering #task_categories-text-generation #size_categories-1K<n<10K #language-Japanese #license-apache-2.0 #region-us \n", "# Aya_ja\n\n\n\nこのデータセットは'CohereForAI/aya_dataset'の日本語インストラクションデータのみを抽出したデータセットです。\n\n人手でアノテーションされた指示応答のペアが6,259件収録されています。", "## pythonでの使用例", "## 例", "## 参考\nCohereForAI/aya_dataset" ]

[ 55, 59, 6, 3, 12 ]

[ "passage: TAGS\n#task_categories-question-answering #task_categories-text-generation #size_categories-1K<n<10K #language-Japanese #license-apache-2.0 #region-us \n# Aya_ja\n\n\n\nこのデータセットは'CohereForAI/aya_dataset'の日本語インストラクションデータのみを抽出したデータセットです。\n\n人手でアノテーションされた指示応答のペアが6,259件収録されています。## pythonでの使用例## 例## 参考\nCohereForAI/aya_dataset" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of tyson0420/stack_llama_fil_ai\n\n\n\nDataset automatically created during the evaluation run of model tyson0420/stack_llama_fil_ai on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T08:29:29.745908(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of tyson0420/stack_llama_fil_ai\n\n\n\nDataset automatically created during the evaluation run of model tyson0420/stack_llama_fil_ai on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T08:29:29.745908(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 189, 68, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of tyson0420/stack_llama_fil_ai\n\n\n\nDataset automatically created during the evaluation run of model tyson0420/stack_llama_fil_ai on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T08:29:29.745908(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]" ]

[ "license:cc", "region:us" ]

[]

[]

[]

[ "TAGS\n#license-cc #region-us \n" ]

[ 11 ]

[ "passage: TAGS\n#license-cc #region-us \n" ]

[ "task_categories:question-answering", "size_categories:10K<n<100K", "language:en", "arxiv:2401.14887", "region:us" ]

[ "2401.14887" ]

[ "en" ]

[ "# Natural Questions Open Dataset with Gold Documents\n\nThis dataset is a curated version of the Natural Questions open dataset, \nwith the inclusion of the gold documents from the original Natural Questions (NQ) dataset.\nThe main difference with the NQ-open dataset is that some entries were excluded, as their respective gold documents exceeded 512 tokens in length.\nThis is due to the pre-processing of the gold documents, as detailed in this related dataset.\n\nThe dataset is designed to facilitate research in question-answering systems, especially focusing on integrating gold documents for training and testing purposes.", "## Dataset Sources\nThe Natural Questions (NQ) dataset is a large-scale collection of real-world queries derived from Google search data. Each\nentry in the dataset consists of a user query and the corresponding Wikipedia page containing the answer. \n\nThe NQ-open dataset, a subset of the NQ dataset, differs by removing the restriction of linking answers to specific Wikipedia passages, thereby\nmimicking a more general information retrieval scenario similar to web searches.\n\nThis version of the NQ-open dataset was used in the paper The Power of Noise: Redefining Retrieval for RAG Systems.", "## Dataset Structure\n\nA sample in the dataset has the following format:", "## Dataset Splits\n\n- Train set: 72,209 (50,2 MB)\n- Validation set: 8,006 (5,57 BM)\n- Test set: 2889 (1,96 MB)" ]

[ "TAGS\n#task_categories-question-answering #size_categories-10K<n<100K #language-English #arxiv-2401.14887 #region-us \n", "# Natural Questions Open Dataset with Gold Documents\n\nThis dataset is a curated version of the Natural Questions open dataset, \nwith the inclusion of the gold documents from the original Natural Questions (NQ) dataset.\nThe main difference with the NQ-open dataset is that some entries were excluded, as their respective gold documents exceeded 512 tokens in length.\nThis is due to the pre-processing of the gold documents, as detailed in this related dataset.\n\nThe dataset is designed to facilitate research in question-answering systems, especially focusing on integrating gold documents for training and testing purposes.", "## Dataset Sources\nThe Natural Questions (NQ) dataset is a large-scale collection of real-world queries derived from Google search data. Each\nentry in the dataset consists of a user query and the corresponding Wikipedia page containing the answer. \n\nThe NQ-open dataset, a subset of the NQ dataset, differs by removing the restriction of linking answers to specific Wikipedia passages, thereby\nmimicking a more general information retrieval scenario similar to web searches.\n\nThis version of the NQ-open dataset was used in the paper The Power of Noise: Redefining Retrieval for RAG Systems.", "## Dataset Structure\n\nA sample in the dataset has the following format:", "## Dataset Splits\n\n- Train set: 72,209 (50,2 MB)\n- Validation set: 8,006 (5,57 BM)\n- Test set: 2889 (1,96 MB)" ]

[ 43, 135, 145, 17, 43 ]

[ "passage: TAGS\n#task_categories-question-answering #size_categories-10K<n<100K #language-English #arxiv-2401.14887 #region-us \n# Natural Questions Open Dataset with Gold Documents\n\nThis dataset is a curated version of the Natural Questions open dataset, \nwith the inclusion of the gold documents from the original Natural Questions (NQ) dataset.\nThe main difference with the NQ-open dataset is that some entries were excluded, as their respective gold documents exceeded 512 tokens in length.\nThis is due to the pre-processing of the gold documents, as detailed in this related dataset.\n\nThe dataset is designed to facilitate research in question-answering systems, especially focusing on integrating gold documents for training and testing purposes.## Dataset Sources\nThe Natural Questions (NQ) dataset is a large-scale collection of real-world queries derived from Google search data. Each\nentry in the dataset consists of a user query and the corresponding Wikipedia page containing the answer. \n\nThe NQ-open dataset, a subset of the NQ dataset, differs by removing the restriction of linking answers to specific Wikipedia passages, thereby\nmimicking a more general information retrieval scenario similar to web searches.\n\nThis version of the NQ-open dataset was used in the paper The Power of Noise: Redefining Retrieval for RAG Systems.## Dataset Structure\n\nA sample in the dataset has the following format:## Dataset Splits\n\n- Train set: 72,209 (50,2 MB)\n- Validation set: 8,006 (5,57 BM)\n- Test set: 2889 (1,96 MB)" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for \"ft-capstone\"\n\nMore Information needed" ]

[ "TAGS\n#region-us \n", "# Dataset Card for \"ft-capstone\"\n\nMore Information needed" ]

[ 6, 14 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for \"ft-capstone\"\n\nMore Information needed" ]

[ "task_categories:text-generation", "task_categories:fill-mask", "task_ids:language-modeling", "task_ids:masked-language-modeling", "annotations_creators:no-annotation", "language_creators:found", "size_categories:n<1K", "size_categories:1K<n<10K", "size_categories:10K<n<100K", "size_categories:100K<n<1M", "size_categories:1M<n<10M", "size_categories:10M<n<100M", "size_categories:100M<n<1B", "size_categories:1B<n<10B", "source_datasets:original", "language:en", "license:odc-by", "region:us" ]

[]

[ "en" ]

[ "### Source Data", "#### Initial Data Collection and Normalization\n\n\nThe C4 and mC4 datasets are collections text sourced from the public Common Crawl web scrape. It includes heuristics to extract only natural language (as opposed to boilerplate and other gibberish) in addition to extensive deduplication. You can find the code that has been used to build this dataset in URL by Tensorflow Datasets.\n\n\nC4 dataset was explicitly designed to be English only: any page that was not given a probability of at least 99% of being English by langdetect was discarded.\n\n\nTo build mC4, the authors used CLD3 to identify over 100 languages.", "### Licensing Information\n\n\nWe are releasing this dataset under the terms of ODC-BY. By using this, you are also bound by the Common Crawl terms of use in respect of the content contained in the dataset.", "### Acknowledgements\n\n\nBig ups to the good folks at Common Crawl whose data made this possible (consider donating!), to Google for creating the code that curates and filters the data, and to Huggingface, who had no issue with hosting these 3TB of data for public download!\n\n\nThanks Allen AI for sharing the text that was processed to make this dataset." ]

[ "TAGS\n#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-no-annotation #language_creators-found #size_categories-n<1K #size_categories-1K<n<10K #size_categories-10K<n<100K #size_categories-100K<n<1M #size_categories-1M<n<10M #size_categories-10M<n<100M #size_categories-100M<n<1B #size_categories-1B<n<10B #source_datasets-original #language-English #license-odc-by #region-us \n", "### Source Data", "#### Initial Data Collection and Normalization\n\n\nThe C4 and mC4 datasets are collections text sourced from the public Common Crawl web scrape. It includes heuristics to extract only natural language (as opposed to boilerplate and other gibberish) in addition to extensive deduplication. You can find the code that has been used to build this dataset in URL by Tensorflow Datasets.\n\n\nC4 dataset was explicitly designed to be English only: any page that was not given a probability of at least 99% of being English by langdetect was discarded.\n\n\nTo build mC4, the authors used CLD3 to identify over 100 languages.", "### Licensing Information\n\n\nWe are releasing this dataset under the terms of ODC-BY. By using this, you are also bound by the Common Crawl terms of use in respect of the content contained in the dataset.", "### Acknowledgements\n\n\nBig ups to the good folks at Common Crawl whose data made this possible (consider donating!), to Google for creating the code that curates and filters the data, and to Huggingface, who had no issue with hosting these 3TB of data for public download!\n\n\nThanks Allen AI for sharing the text that was processed to make this dataset." ]

[ 186, 4, 152, 52, 80 ]

[ "passage: TAGS\n#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-no-annotation #language_creators-found #size_categories-n<1K #size_categories-1K<n<10K #size_categories-10K<n<100K #size_categories-100K<n<1M #size_categories-1M<n<10M #size_categories-10M<n<100M #size_categories-100M<n<1B #size_categories-1B<n<10B #source_datasets-original #language-English #license-odc-by #region-us \n### Source Data#### Initial Data Collection and Normalization\n\n\nThe C4 and mC4 datasets are collections text sourced from the public Common Crawl web scrape. It includes heuristics to extract only natural language (as opposed to boilerplate and other gibberish) in addition to extensive deduplication. You can find the code that has been used to build this dataset in URL by Tensorflow Datasets.\n\n\nC4 dataset was explicitly designed to be English only: any page that was not given a probability of at least 99% of being English by langdetect was discarded.\n\n\nTo build mC4, the authors used CLD3 to identify over 100 languages.### Licensing Information\n\n\nWe are releasing this dataset under the terms of ODC-BY. By using this, you are also bound by the Common Crawl terms of use in respect of the content contained in the dataset.### Acknowledgements\n\n\nBig ups to the good folks at Common Crawl whose data made this possible (consider donating!), to Google for creating the code that curates and filters the data, and to Huggingface, who had no issue with hosting these 3TB of data for public download!\n\n\nThanks Allen AI for sharing the text that was processed to make this dataset." ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of nxn1231/yi6\n\n\n\nDataset automatically created during the evaluation run of model nxn1231/yi6 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T09:04:41.183373(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of nxn1231/yi6\n\n\n\nDataset automatically created during the evaluation run of model nxn1231/yi6 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T09:04:41.183373(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 175, 68, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of nxn1231/yi6\n\n\n\nDataset automatically created during the evaluation run of model nxn1231/yi6 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T09:04:41.183373(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]## Dataset Card Contact" ]

[ "language:de", "license:cc-by-nc-4.0", "region:us" ]

[]

[ "de" ]

[ "# Dataset Card for \"synthetic_RAG_dataset_ger_de_v02\"\n\nMore Information needed" ]

[ "TAGS\n#language-German #license-cc-by-nc-4.0 #region-us \n", "# Dataset Card for \"synthetic_RAG_dataset_ger_de_v02\"\n\nMore Information needed" ]

[ 21, 26 ]

[ "passage: TAGS\n#language-German #license-cc-by-nc-4.0 #region-us \n# Dataset Card for \"synthetic_RAG_dataset_ger_de_v02\"\n\nMore Information needed" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for \"ft-capstone2\"\n\nMore Information needed" ]

[ "TAGS\n#region-us \n", "# Dataset Card for \"ft-capstone2\"\n\nMore Information needed" ]

[ 6, 15 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for \"ft-capstone2\"\n\nMore Information needed" ]

[ "task_categories:text-generation", "task_categories:text-classification", "license:cdla-permissive-2.0", "code", "region:us" ]

[]

[]

[ "# Dataset Card for Dataset Name\n\n\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#task_categories-text-generation #task_categories-text-classification #license-cdla-permissive-2.0 #code #region-us \n", "# Dataset Card for Dataset Name\n\n\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 42, 34, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#task_categories-text-generation #task_categories-text-classification #license-cdla-permissive-2.0 #code #region-us \n# Dataset Card for Dataset Name\n\n\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]## Dataset Card Contact" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of mzio/hedgehog-alpaca_clean_mistral-mistral_7b_lk_esn_tqk_lora-lk_untied_head-lsc_1\n\n\n\nDataset automatically created during the evaluation run of model mzio/hedgehog-alpaca_clean_mistral-mistral_7b_lk_esn_tqk_lora-lk_untied_head-lsc_1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T09:28:19.032904(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of mzio/hedgehog-alpaca_clean_mistral-mistral_7b_lk_esn_tqk_lora-lk_untied_head-lsc_1\n\n\n\nDataset automatically created during the evaluation run of model mzio/hedgehog-alpaca_clean_mistral-mistral_7b_lk_esn_tqk_lora-lk_untied_head-lsc_1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T09:28:19.032904(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 249, 68, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of mzio/hedgehog-alpaca_clean_mistral-mistral_7b_lk_esn_tqk_lora-lk_untied_head-lsc_1\n\n\n\nDataset automatically created during the evaluation run of model mzio/hedgehog-alpaca_clean_mistral-mistral_7b_lk_esn_tqk_lora-lk_untied_head-lsc_1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T09:28:19.032904(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations" ]

[ "region:us" ]

[]

[]

[]

[ "TAGS\n#region-us \n" ]

[ 6 ]

[ "passage: TAGS\n#region-us \n" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for \"ft-capstone3\"\n\nMore Information needed" ]

[ "TAGS\n#region-us \n", "# Dataset Card for \"ft-capstone3\"\n\nMore Information needed" ]

[ 6, 15 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for \"ft-capstone3\"\n\nMore Information needed" ]

[ "region:us" ]

[]

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[ "# Dataset Card for Evaluation run of mzio/hedgehog-mistral_7b-alpaca_clean-smd_lora_1e_3\n\n\n\nDataset automatically created during the evaluation run of model mzio/hedgehog-mistral_7b-alpaca_clean-smd_lora_1e_3 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T09:47:11.796645(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of mzio/hedgehog-mistral_7b-alpaca_clean-smd_lora_1e_3\n\n\n\nDataset automatically created during the evaluation run of model mzio/hedgehog-mistral_7b-alpaca_clean-smd_lora_1e_3 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T09:47:11.796645(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 217, 68, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of mzio/hedgehog-mistral_7b-alpaca_clean-smd_lora_1e_3\n\n\n\nDataset automatically created during the evaluation run of model mzio/hedgehog-mistral_7b-alpaca_clean-smd_lora_1e_3 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T09:47:11.796645(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for \"poc\"\n\nMore Information needed" ]

[ "TAGS\n#region-us \n", "# Dataset Card for \"poc\"\n\nMore Information needed" ]

[ 6, 12 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for \"poc\"\n\nMore Information needed" ]

[ "license:apache-2.0", "region:us" ]

[]

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[ "## Auxiliary data (mask, constants, statistics...) and pytorch checkpoints required to reproduce performance of Pangu-Weather at 24-hour forecasting horizon." ]

[ "TAGS\n#license-apache-2.0 #region-us \n", "## Auxiliary data (mask, constants, statistics...) and pytorch checkpoints required to reproduce performance of Pangu-Weather at 24-hour forecasting horizon." ]

[ 14, 44 ]

[ "passage: TAGS\n#license-apache-2.0 #region-us \n## Auxiliary data (mask, constants, statistics...) and pytorch checkpoints required to reproduce performance of Pangu-Weather at 24-hour forecasting horizon." ]

[ "region:us" ]

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[ "# Dataset Card for Evaluation run of yleo/EmertonOmniBeagle-7B-dpo\n\n\n\nDataset automatically created during the evaluation run of model yleo/EmertonOmniBeagle-7B-dpo on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T10:17:01.661454(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of yleo/EmertonOmniBeagle-7B-dpo\n\n\n\nDataset automatically created during the evaluation run of model yleo/EmertonOmniBeagle-7B-dpo on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T10:17:01.661454(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 193, 67, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of yleo/EmertonOmniBeagle-7B-dpo\n\n\n\nDataset automatically created during the evaluation run of model yleo/EmertonOmniBeagle-7B-dpo on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T10:17:01.661454(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]" ]

[ "region:us" ]

[]

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[ "# Dataset Card for Evaluation run of RaduGabriel/MUZD\n\n\n\nDataset automatically created during the evaluation run of model RaduGabriel/MUZD on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T10:37:51.263631(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of RaduGabriel/MUZD\n\n\n\nDataset automatically created during the evaluation run of model RaduGabriel/MUZD on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T10:37:51.263631(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 177, 68, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of RaduGabriel/MUZD\n\n\n\nDataset automatically created during the evaluation run of model RaduGabriel/MUZD on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T10:37:51.263631(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]## Dataset Card Contact" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of mlabonne/NeuralMonarch-7B\n\n\n\nDataset automatically created during the evaluation run of model mlabonne/NeuralMonarch-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T10:44:03.358725(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of mlabonne/NeuralMonarch-7B\n\n\n\nDataset automatically created during the evaluation run of model mlabonne/NeuralMonarch-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T10:44:03.358725(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 181, 67, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of mlabonne/NeuralMonarch-7B\n\n\n\nDataset automatically created during the evaluation run of model mlabonne/NeuralMonarch-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T10:44:03.358725(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]## Dataset Card Contact" ]

[ "task_categories:graph-ml", "size_categories:1K<n<10K", "license:cc", "arxiv:2210.02016", "region:us" ]

[ "2210.02016" ]

[]

[]

[ "TAGS\n#task_categories-graph-ml #size_categories-1K<n<10K #license-cc #arxiv-2210.02016 #region-us \n" ]

[ 41 ]

[ "passage: TAGS\n#task_categories-graph-ml #size_categories-1K<n<10K #license-cc #arxiv-2210.02016 #region-us \n" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for \"wsd_myriade_synth_data_v4\"\n\nMore Information needed" ]

[ "TAGS\n#region-us \n", "# Dataset Card for \"wsd_myriade_synth_data_v4\"\n\nMore Information needed" ]

[ 6, 24 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for \"wsd_myriade_synth_data_v4\"\n\nMore Information needed" ]

[ "license:cc-by-nc-nd-4.0", "region:us" ]

[]

[]

[ "# Sentiment Classification of Historical Literary in Danish and Norwegian Texts", "## Description\nThis project describes a study on sentiment classification in literary analysis of 19th-century Scandinavian novels by female authors. We create a dataset, train and evaluate sentiment classification methods, and use pre-trained language models to confirm and contest a literary hypothesis that the writing of female authors in that period was characterized by negative sentiment. The dataset and trained models are expected to be valuable for future analysis of historical Danish and Norwegian literary texts.", "## Dataset\nThe dataset is uploaded to the 'dataset' directory and is structured as follows:\n\n1. 'train_set.txt': TXT file containing the training set with annotated text for sentiment analysis.\n2. 'dev_set.txt': TXT file containing the development set with annotated text for sentiment analysis.\n3. 'test_set.txt': TXT file containing the testing set with annotated text for sentiment analysis.\n\n\nEach file contains two columns (tab separated) where the first column is the sentence and the second column is the sentimen annoation (1=positive, 0=neutral, and 2=negative)", "## Usage\nTo use the dataset and code, follow these steps:\n\n1. Clone or download this GitHub repository.\n2. Access the dataset files in the 'dataset' directory and the Python code file.\n3. Use the dataset files for training, development, and testing of sentiment analysis models in your research or applications.\n4. Run the Python code files using your preferred IDE or Python environment to understand how to load, preprocess, and analyze the historical text data.", "## License\nThe dataset and code in this repository are released under the Creative Commons Attribution 4.0 International license.\n\nFor more details about the sentiment annoatation and classification, please read further in the following paper:" ]

[ "TAGS\n#license-cc-by-nc-nd-4.0 #region-us \n", "# Sentiment Classification of Historical Literary in Danish and Norwegian Texts", "## Description\nThis project describes a study on sentiment classification in literary analysis of 19th-century Scandinavian novels by female authors. We create a dataset, train and evaluate sentiment classification methods, and use pre-trained language models to confirm and contest a literary hypothesis that the writing of female authors in that period was characterized by negative sentiment. The dataset and trained models are expected to be valuable for future analysis of historical Danish and Norwegian literary texts.", "## Dataset\nThe dataset is uploaded to the 'dataset' directory and is structured as follows:\n\n1. 'train_set.txt': TXT file containing the training set with annotated text for sentiment analysis.\n2. 'dev_set.txt': TXT file containing the development set with annotated text for sentiment analysis.\n3. 'test_set.txt': TXT file containing the testing set with annotated text for sentiment analysis.\n\n\nEach file contains two columns (tab separated) where the first column is the sentence and the second column is the sentimen annoation (1=positive, 0=neutral, and 2=negative)", "## Usage\nTo use the dataset and code, follow these steps:\n\n1. Clone or download this GitHub repository.\n2. Access the dataset files in the 'dataset' directory and the Python code file.\n3. Use the dataset files for training, development, and testing of sentiment analysis models in your research or applications.\n4. Run the Python code files using your preferred IDE or Python environment to understand how to load, preprocess, and analyze the historical text data.", "## License\nThe dataset and code in this repository are released under the Creative Commons Attribution 4.0 International license.\n\nFor more details about the sentiment annoatation and classification, please read further in the following paper:" ]

[ 19, 16, 105, 153, 104, 44 ]

[ "passage: TAGS\n#license-cc-by-nc-nd-4.0 #region-us \n# Sentiment Classification of Historical Literary in Danish and Norwegian Texts## Description\nThis project describes a study on sentiment classification in literary analysis of 19th-century Scandinavian novels by female authors. We create a dataset, train and evaluate sentiment classification methods, and use pre-trained language models to confirm and contest a literary hypothesis that the writing of female authors in that period was characterized by negative sentiment. The dataset and trained models are expected to be valuable for future analysis of historical Danish and Norwegian literary texts.## Dataset\nThe dataset is uploaded to the 'dataset' directory and is structured as follows:\n\n1. 'train_set.txt': TXT file containing the training set with annotated text for sentiment analysis.\n2. 'dev_set.txt': TXT file containing the development set with annotated text for sentiment analysis.\n3. 'test_set.txt': TXT file containing the testing set with annotated text for sentiment analysis.\n\n\nEach file contains two columns (tab separated) where the first column is the sentence and the second column is the sentimen annoation (1=positive, 0=neutral, and 2=negative)## Usage\nTo use the dataset and code, follow these steps:\n\n1. Clone or download this GitHub repository.\n2. Access the dataset files in the 'dataset' directory and the Python code file.\n3. Use the dataset files for training, development, and testing of sentiment analysis models in your research or applications.\n4. Run the Python code files using your preferred IDE or Python environment to understand how to load, preprocess, and analyze the historical text data.## License\nThe dataset and code in this repository are released under the Creative Commons Attribution 4.0 International license.\n\nFor more details about the sentiment annoatation and classification, please read further in the following paper:" ]

[ "task_categories:question-answering", "task_categories:text-generation", "language:en", "dpo", "preference-optimization", "region:us" ]

[]

[ "en" ]

[]

[ "TAGS\n#task_categories-question-answering #task_categories-text-generation #language-English #dpo #preference-optimization #region-us \n" ]

[ 42 ]

[ "passage: TAGS\n#task_categories-question-answering #task_categories-text-generation #language-English #dpo #preference-optimization #region-us \n" ]

[ "task_categories:object-detection", "task_categories:image-segmentation", "task_categories:token-classification", "task_ids:instance-segmentation", "annotations_creators:crowdsourced", "size_categories:10K<n<100K", "language:en", "language:de", "language:fr", "language:ja", "license:other", "DocLayNet", "COCO", "PDF", "IBM", "Financial-Reports", "Finance", "Manuals", "Scientific-Articles", "Science", "Laws", "Law", "Regulations", "Patents", "Government-Tenders", "object-detection", "image-segmentation", "token-classification", "region:us" ]

[]

[ "en", "de", "fr", "ja" ]

[ "# Dataset Card for DocLayNet large without image", "## About this card (02/14/2024)", "### Property and license\n\nAll information from this page but the content of this paragraph \"About this card (02/14/2025)\" has been copied/pasted from Dataset Card for DocLayNet.\n\nDocLayNet is a dataset created by Deep Search (IBM Research) published under license CDLA-Permissive-1.0. \n\nI do not claim any rights to the data taken from this dataset and published on this page.", "# Dataset Card for DocLayNet", "## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n- Dataset Structure\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Annotations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information\n - Contributions", "## Dataset Description\n\n- Homepage: URL\n- Repository: URL\n- Paper: URL\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nDocLayNet provides page-by-page layout segmentation ground-truth using bounding-boxes for 11 distinct class labels on 80863 unique pages from 6 document categories. It provides several unique features compared to related work such as PubLayNet or DocBank:\n\n1. *Human Annotation*: DocLayNet is hand-annotated by well-trained experts, providing a gold-standard in layout segmentation through human recognition and interpretation of each page layout\n2. *Large layout variability*: DocLayNet includes diverse and complex layouts from a large variety of public sources in Finance, Science, Patents, Tenders, Law texts and Manuals\n3. *Detailed label set*: DocLayNet defines 11 class labels to distinguish layout features in high detail.\n4. *Redundant annotations*: A fraction of the pages in DocLayNet are double- or triple-annotated, allowing to estimate annotation uncertainty and an upper-bound of achievable prediction accuracy with ML models\n5. *Pre-defined train- test- and validation-sets*: DocLayNet provides fixed sets for each to ensure proportional representation of the class-labels and avoid leakage of unique layout styles across the sets.", "### Supported Tasks and Leaderboards\n\nWe are hosting a competition in ICDAR 2023 based on the DocLayNet dataset. For more information see URL", "## Dataset Structure", "### Data Fields\n\nDocLayNet provides four types of data assets:\n\n1. Bounding-box annotations in COCO format for each PNG image\n2. Extra: Single-page PDF files matching each PNG image\n3. Extra: JSON file matching each PDF page, which provides the digital text cells with coordinates and content\n\nThe COCO image record are defined like this example\n\n\n\nThe 'doc_category' field uses one of the following constants:", "### Data Splits\n\nThe dataset provides three splits\n- 'train'\n- 'val'\n- 'test'", "## Dataset Creation", "### Annotations", "#### Annotation process\n\nThe labeling guideline used for training of the annotation experts are available at DocLayNet_Labeling_Guide_Public.pdf.", "#### Who are the annotators?\n\nAnnotations are crowdsourced.", "## Additional Information", "### Dataset Curators\n\nThe dataset is curated by the Deep Search team at IBM Research.\nYou can contact us at deepsearch-core@URL.\n\nCurators:\n- Christoph Auer, @cau-git\n- Michele Dolfi, @dolfim-ibm\n- Ahmed Nassar, @nassarofficial\n- Peter Staar, @PeterStaar-IBM", "### Licensing Information\n\nLicense: CDLA-Permissive-1.0", "### Contributions\n\nThanks to @dolfim-ibm, @cau-git for adding this dataset." ]

[ "TAGS\n#task_categories-object-detection #task_categories-image-segmentation #task_categories-token-classification #task_ids-instance-segmentation #annotations_creators-crowdsourced #size_categories-10K<n<100K #language-English #language-German #language-French #language-Japanese #license-other #DocLayNet #COCO #PDF #IBM #Financial-Reports #Finance #Manuals #Scientific-Articles #Science #Laws #Law #Regulations #Patents #Government-Tenders #object-detection #image-segmentation #token-classification #region-us \n", "# Dataset Card for DocLayNet large without image", "## About this card (02/14/2024)", "### Property and license\n\nAll information from this page but the content of this paragraph \"About this card (02/14/2025)\" has been copied/pasted from Dataset Card for DocLayNet.\n\nDocLayNet is a dataset created by Deep Search (IBM Research) published under license CDLA-Permissive-1.0. \n\nI do not claim any rights to the data taken from this dataset and published on this page.", "# Dataset Card for DocLayNet", "## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n- Dataset Structure\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Annotations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information\n - Contributions", "## Dataset Description\n\n- Homepage: URL\n- Repository: URL\n- Paper: URL\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nDocLayNet provides page-by-page layout segmentation ground-truth using bounding-boxes for 11 distinct class labels on 80863 unique pages from 6 document categories. It provides several unique features compared to related work such as PubLayNet or DocBank:\n\n1. *Human Annotation*: DocLayNet is hand-annotated by well-trained experts, providing a gold-standard in layout segmentation through human recognition and interpretation of each page layout\n2. *Large layout variability*: DocLayNet includes diverse and complex layouts from a large variety of public sources in Finance, Science, Patents, Tenders, Law texts and Manuals\n3. *Detailed label set*: DocLayNet defines 11 class labels to distinguish layout features in high detail.\n4. *Redundant annotations*: A fraction of the pages in DocLayNet are double- or triple-annotated, allowing to estimate annotation uncertainty and an upper-bound of achievable prediction accuracy with ML models\n5. *Pre-defined train- test- and validation-sets*: DocLayNet provides fixed sets for each to ensure proportional representation of the class-labels and avoid leakage of unique layout styles across the sets.", "### Supported Tasks and Leaderboards\n\nWe are hosting a competition in ICDAR 2023 based on the DocLayNet dataset. For more information see URL", "## Dataset Structure", "### Data Fields\n\nDocLayNet provides four types of data assets:\n\n1. Bounding-box annotations in COCO format for each PNG image\n2. Extra: Single-page PDF files matching each PNG image\n3. Extra: JSON file matching each PDF page, which provides the digital text cells with coordinates and content\n\nThe COCO image record are defined like this example\n\n\n\nThe 'doc_category' field uses one of the following constants:", "### Data Splits\n\nThe dataset provides three splits\n- 'train'\n- 'val'\n- 'test'", "## Dataset Creation", "### Annotations", "#### Annotation process\n\nThe labeling guideline used for training of the annotation experts are available at DocLayNet_Labeling_Guide_Public.pdf.", "#### Who are the annotators?\n\nAnnotations are crowdsourced.", "## Additional Information", "### Dataset Curators\n\nThe dataset is curated by the Deep Search team at IBM Research.\nYou can contact us at deepsearch-core@URL.\n\nCurators:\n- Christoph Auer, @cau-git\n- Michele Dolfi, @dolfim-ibm\n- Ahmed Nassar, @nassarofficial\n- Peter Staar, @PeterStaar-IBM", "### Licensing Information\n\nLicense: CDLA-Permissive-1.0", "### Contributions\n\nThanks to @dolfim-ibm, @cau-git for adding this dataset." ]

[ 177, 12, 9, 93, 9, 74, 27, 296, 34, 6, 100, 25, 5, 5, 36, 17, 5, 80, 16, 26 ]

[ "passage: TAGS\n#task_categories-object-detection #task_categories-image-segmentation #task_categories-token-classification #task_ids-instance-segmentation #annotations_creators-crowdsourced #size_categories-10K<n<100K #language-English #language-German #language-French #language-Japanese #license-other #DocLayNet #COCO #PDF #IBM #Financial-Reports #Finance #Manuals #Scientific-Articles #Science #Laws #Law #Regulations #Patents #Government-Tenders #object-detection #image-segmentation #token-classification #region-us \n# Dataset Card for DocLayNet large without image## About this card (02/14/2024)### Property and license\n\nAll information from this page but the content of this paragraph \"About this card (02/14/2025)\" has been copied/pasted from Dataset Card for DocLayNet.\n\nDocLayNet is a dataset created by Deep Search (IBM Research) published under license CDLA-Permissive-1.0. \n\nI do not claim any rights to the data taken from this dataset and published on this page.# Dataset Card for DocLayNet## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n- Dataset Structure\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Annotations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information\n - Contributions## Dataset Description\n\n- Homepage: URL\n- Repository: URL\n- Paper: URL\n- Leaderboard:\n- Point of Contact:" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of TW3PartnersLLM/TW3-v2-AlpacaSmaug-72B\n\n\n\nDataset automatically created during the evaluation run of model TW3PartnersLLM/TW3-v2-AlpacaSmaug-72B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T11:27:51.194235(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of TW3PartnersLLM/TW3-v2-AlpacaSmaug-72B\n\n\n\nDataset automatically created during the evaluation run of model TW3PartnersLLM/TW3-v2-AlpacaSmaug-72B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T11:27:51.194235(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 203, 67, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of TW3PartnersLLM/TW3-v2-AlpacaSmaug-72B\n\n\n\nDataset automatically created during the evaluation run of model TW3PartnersLLM/TW3-v2-AlpacaSmaug-72B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T11:27:51.194235(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]" ]

[ "region:us" ]

[]

[]

[]

[ "TAGS\n#region-us \n" ]

[ 6 ]

[ "passage: TAGS\n#region-us \n" ]

[ "task_categories:conversational", "size_categories:1M<n<10M", "language:en", "license:mit", "region:us" ]

[]

[ "en" ]

[ "# Dataset Card for ShareLM\n\n\n\nThis dataset contains users interactions from various LLMs and platforms, organized into a unified format.", "## What is ShareLM?\nShareLM is a chrome plugin that makes it easy for you to contribute your own human-model interactions.\n\nThe Goal -> Collecting an ever-growing dataset of conversations, for the benefit of the open-source community \n\nThe conversations are released here with the most permissive restriction allowed by the specific model.", "## Existing Datasets\nIn addition to the ShareLM data, we include here data from other great human-model interaction datasets:\n\n- Collective Cognition URL\n- hh rlhf URL\n- babi URL\n- self-feeding URL", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#task_categories-conversational #size_categories-1M<n<10M #language-English #license-mit #region-us \n", "# Dataset Card for ShareLM\n\n\n\nThis dataset contains users interactions from various LLMs and platforms, organized into a unified format.", "## What is ShareLM?\nShareLM is a chrome plugin that makes it easy for you to contribute your own human-model interactions.\n\nThe Goal -> Collecting an ever-growing dataset of conversations, for the benefit of the open-source community \n\nThe conversations are released here with the most permissive restriction allowed by the specific model.", "## Existing Datasets\nIn addition to the ShareLM data, we include here data from other great human-model interaction datasets:\n\n- Collective Cognition URL\n- hh rlhf URL\n- babi URL\n- self-feeding URL", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 37, 32, 73, 53, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#task_categories-conversational #size_categories-1M<n<10M #language-English #license-mit #region-us \n# Dataset Card for ShareLM\n\n\n\nThis dataset contains users interactions from various LLMs and platforms, organized into a unified format.## What is ShareLM?\nShareLM is a chrome plugin that makes it easy for you to contribute your own human-model interactions.\n\nThe Goal -> Collecting an ever-growing dataset of conversations, for the benefit of the open-source community \n\nThe conversations are released here with the most permissive restriction allowed by the specific model.## Existing Datasets\nIn addition to the ShareLM data, we include here data from other great human-model interaction datasets:\n\n- Collective Cognition URL\n- hh rlhf URL\n- babi URL\n- self-feeding URL## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]## Dataset Card Contact" ]

[ "license:openrail++", "region:us" ]

[]

[]

[ "## Ukrainian Toxicity Dataset (translated)\nAdditionaly to the twitter filtered data, we provide translated English Jigsaw Toxicity Classification Dataset to Ukrainian.", "## Dataset formation:\n1. English data source: URL\n2. Working with data to get only two labels: a toxic and a non-toxic sentence.\n3. Translation into Ukrainian language using model: URL\n\nLabels: 0 - non-toxic, 1 - toxic.", "## Load dataset:" ]

[ "TAGS\n#license-openrail++ #region-us \n", "## Ukrainian Toxicity Dataset (translated)\nAdditionaly to the twitter filtered data, we provide translated English Jigsaw Toxicity Classification Dataset to Ukrainian.", "## Dataset formation:\n1. English data source: URL\n2. Working with data to get only two labels: a toxic and a non-toxic sentence.\n3. Translation into Ukrainian language using model: URL\n\nLabels: 0 - non-toxic, 1 - toxic.", "## Load dataset:" ]

[ 13, 44, 56, 6 ]

[ "passage: TAGS\n#license-openrail++ #region-us \n## Ukrainian Toxicity Dataset (translated)\nAdditionaly to the twitter filtered data, we provide translated English Jigsaw Toxicity Classification Dataset to Ukrainian.## Dataset formation:\n1. English data source: URL\n2. Working with data to get only two labels: a toxic and a non-toxic sentence.\n3. Translation into Ukrainian language using model: URL\n\nLabels: 0 - non-toxic, 1 - toxic.## Load dataset:" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of bardsai/jaskier-7b-dpo-v4.1\n\n\n\nDataset automatically created during the evaluation run of model bardsai/jaskier-7b-dpo-v4.1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T11:50:03.919128(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of bardsai/jaskier-7b-dpo-v4.1\n\n\n\nDataset automatically created during the evaluation run of model bardsai/jaskier-7b-dpo-v4.1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T11:50:03.919128(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 191, 68, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of bardsai/jaskier-7b-dpo-v4.1\n\n\n\nDataset automatically created during the evaluation run of model bardsai/jaskier-7b-dpo-v4.1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T11:50:03.919128(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]" ]

[ "task_categories:text-classification", "language:uk", "license:openrail++", "region:us" ]

[]

[ "uk" ]

[ "## Ukrainian Formality Dataset (translated)\nWe obtained the first of its kind Ukrainian Formality Classification dataset by trainslating English GYAFC data.", "## Dataset formation:\n1. English data source: URL\n2. Translation into Ukrainian language using model: URL\n3. Additionally, the dataset was balanced.\n\nLabels: 0 - informal, 1 - formal.", "## Load dataset:" ]

[ "TAGS\n#task_categories-text-classification #language-Ukrainian #license-openrail++ #region-us \n", "## Ukrainian Formality Dataset (translated)\nWe obtained the first of its kind Ukrainian Formality Classification dataset by trainslating English GYAFC data.", "## Dataset formation:\n1. English data source: URL\n2. Translation into Ukrainian language using model: URL\n3. Additionally, the dataset was balanced.\n\nLabels: 0 - informal, 1 - formal.", "## Load dataset:" ]

[ 31, 39, 44, 6 ]

[ "passage: TAGS\n#task_categories-text-classification #language-Ukrainian #license-openrail++ #region-us \n## Ukrainian Formality Dataset (translated)\nWe obtained the first of its kind Ukrainian Formality Classification dataset by trainslating English GYAFC data.## Dataset formation:\n1. English data source: URL\n2. Translation into Ukrainian language using model: URL\n3. Additionally, the dataset was balanced.\n\nLabels: 0 - informal, 1 - formal.## Load dataset:" ]

[ "task_categories:text-classification", "language:uk", "license:openrail++", "region:us" ]

[]

[ "uk" ]

[ "## Ukrainian NLI (translated)\nWe obtained the first of its kind Ukrainian Natural Language Inference Dataset by trainslating English NLI data.", "## Dataset formation:\n1. English data source: URL\n2. Translation into Ukrainian language using model: URL\n\nLabels: 0 - entailment, 1 - neutral, 2 - contradiction.", "## Load dataset:" ]

[ "TAGS\n#task_categories-text-classification #language-Ukrainian #license-openrail++ #region-us \n", "## Ukrainian NLI (translated)\nWe obtained the first of its kind Ukrainian Natural Language Inference Dataset by trainslating English NLI data.", "## Dataset formation:\n1. English data source: URL\n2. Translation into Ukrainian language using model: URL\n\nLabels: 0 - entailment, 1 - neutral, 2 - contradiction.", "## Load dataset:" ]

[ 31, 37, 39, 6 ]

[ "passage: TAGS\n#task_categories-text-classification #language-Ukrainian #license-openrail++ #region-us \n## Ukrainian NLI (translated)\nWe obtained the first of its kind Ukrainian Natural Language Inference Dataset by trainslating English NLI data.## Dataset formation:\n1. English data source: URL\n2. Translation into Ukrainian language using model: URL\n\nLabels: 0 - entailment, 1 - neutral, 2 - contradiction.## Load dataset:" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of arlineka/Brunhilde-13b\n\n\n\nDataset automatically created during the evaluation run of model arlineka/Brunhilde-13b on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T11:54:25.541681(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of arlineka/Brunhilde-13b\n\n\n\nDataset automatically created during the evaluation run of model arlineka/Brunhilde-13b on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T11:54:25.541681(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 181, 68, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of arlineka/Brunhilde-13b\n\n\n\nDataset automatically created during the evaluation run of model arlineka/Brunhilde-13b on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T11:54:25.541681(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]## Dataset Card Contact" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of KatyTheCutie/EstopianMaid-13B\n\n\n\nDataset automatically created during the evaluation run of model KatyTheCutie/EstopianMaid-13B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T11:59:41.203334(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of KatyTheCutie/EstopianMaid-13B\n\n\n\nDataset automatically created during the evaluation run of model KatyTheCutie/EstopianMaid-13B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T11:59:41.203334(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 185, 67, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of KatyTheCutie/EstopianMaid-13B\n\n\n\nDataset automatically created during the evaluation run of model KatyTheCutie/EstopianMaid-13B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T11:59:41.203334(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]## Dataset Card Contact" ]

[ "language:en", "region:us" ]

[]

[ "en" ]

[]

[ "TAGS\n#language-English #region-us \n" ]

[ 10 ]

[ "passage: TAGS\n#language-English #region-us \n" ]

[ "license:apache-2.0", "region:us" ]

[]

[]

[]

[ "TAGS\n#license-apache-2.0 #region-us \n" ]

[ 14 ]

[ "passage: TAGS\n#license-apache-2.0 #region-us \n" ]

[ "task_categories:summarization", "task_categories:text-generation", "source_datasets:original", "language:fa", "region:us" ]

[]

[ "fa" ]

[ "# Persian Daily News", "# Dataset Summary\n\npersian_daily_news is a collection of 2 million of unique news articles with the headline for each article. dataset can be used in abstractive summarization and paraphrasing tasks.\n\nThis effort is part of a bigger perspective to have several datasets in Persian language(and other low resources languages) for different tasks that have two important factors: 'free' and 'easy-to-use'. Here is a quick HOW-TO for using this dataset in datasets library:Demo-datasets", "# Description\n\nAs discussed before, this dataset contains 2M news articles. Each article has these two attributes: text and summary. Here is a sample of dataset:" ]

[ "TAGS\n#task_categories-summarization #task_categories-text-generation #source_datasets-original #language-Persian #region-us \n", "# Persian Daily News", "# Dataset Summary\n\npersian_daily_news is a collection of 2 million of unique news articles with the headline for each article. dataset can be used in abstractive summarization and paraphrasing tasks.\n\nThis effort is part of a bigger perspective to have several datasets in Persian language(and other low resources languages) for different tasks that have two important factors: 'free' and 'easy-to-use'. Here is a quick HOW-TO for using this dataset in datasets library:Demo-datasets", "# Description\n\nAs discussed before, this dataset contains 2M news articles. Each article has these two attributes: text and summary. Here is a sample of dataset:" ]

[ 40, 5, 122, 37 ]

[ "passage: TAGS\n#task_categories-summarization #task_categories-text-generation #source_datasets-original #language-Persian #region-us \n# Persian Daily News# Dataset Summary\n\npersian_daily_news is a collection of 2 million of unique news articles with the headline for each article. dataset can be used in abstractive summarization and paraphrasing tasks.\n\nThis effort is part of a bigger perspective to have several datasets in Persian language(and other low resources languages) for different tasks that have two important factors: 'free' and 'easy-to-use'. Here is a quick HOW-TO for using this dataset in datasets library:Demo-datasets# Description\n\nAs discussed before, this dataset contains 2M news articles. Each article has these two attributes: text and summary. Here is a sample of dataset:" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of yleo/EmertonBeagle-7B-dpo\n\n\n\nDataset automatically created during the evaluation run of model yleo/EmertonBeagle-7B-dpo on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T12:29:04.356881(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of yleo/EmertonBeagle-7B-dpo\n\n\n\nDataset automatically created during the evaluation run of model yleo/EmertonBeagle-7B-dpo on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T12:29:04.356881(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 189, 68, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of yleo/EmertonBeagle-7B-dpo\n\n\n\nDataset automatically created during the evaluation run of model yleo/EmertonBeagle-7B-dpo on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T12:29:04.356881(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of NovoCode/Tiger-7B-v0.1-LaserRMT-Math-5-10-15-Neural-DPO\n\n\n\nDataset automatically created during the evaluation run of model NovoCode/Tiger-7B-v0.1-LaserRMT-Math-5-10-15-Neural-DPO on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T12:51:27.185678(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of NovoCode/Tiger-7B-v0.1-LaserRMT-Math-5-10-15-Neural-DPO\n\n\n\nDataset automatically created during the evaluation run of model NovoCode/Tiger-7B-v0.1-LaserRMT-Math-5-10-15-Neural-DPO on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T12:51:27.185678(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 213, 67, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of NovoCode/Tiger-7B-v0.1-LaserRMT-Math-5-10-15-Neural-DPO\n\n\n\nDataset automatically created during the evaluation run of model NovoCode/Tiger-7B-v0.1-LaserRMT-Math-5-10-15-Neural-DPO on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T12:51:27.185678(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:" ]

[ "task_categories:question-answering", "language:si", "license:apache-2.0", "sinhala", "general", "question&answering", "region:us" ]

[]

[ "si" ]

[ "# SINHALA QUESTION AND ANSWER DATASET by Indramal\n\n> Contact details: Indramal Wansekara Profile Website" ]

[ "TAGS\n#task_categories-question-answering #language-Sinhala #license-apache-2.0 #sinhala #general #question&answering #region-us \n", "# SINHALA QUESTION AND ANSWER DATASET by Indramal\n\n> Contact details: Indramal Wansekara Profile Website" ]

[ 43, 28 ]

[ "passage: TAGS\n#task_categories-question-answering #language-Sinhala #license-apache-2.0 #sinhala #general #question&answering #region-us \n# SINHALA QUESTION AND ANSWER DATASET by Indramal\n\n> Contact details: Indramal Wansekara Profile Website" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Dataset Name\n\nThis dataset has been meticulously curated by the AI team at IEEE Student Branch, Vishwakarma Institute of Technology (VIT) Pune, with the explicit purpose of training the Llama2 model. It encompasses a diverse range of topics essential for the development of an effective conversational AI system.", "## Dataset Details", "### Dataset Description\nThe dataset comprises a comprehensive selection of topics, including but not limited to:\n\nFrequently Asked Questions (FAQs) related to IEEE Student Branch at VIT Pune.\nInquiries pertaining to placements, encompassing strategies, tips, and common queries.\nQuestions related to fundamental concepts in Data Structures and Algorithms.\nQueries and discussions regarding research papers, methodologies, and academic pursuits.\n\n- Curated by: AI Team- IEEE SB VIT Pune", "## Uses\n\nThis data was particularly designed for a chatbot for IEEE SB VIT Pune so that university students could use it for their own benifits, but it includes some general topics related to Research Papers, Data Structure and Algorithms and Placements that can be used by others for their custom chatbot", "## Dataset Structure\n\nThe dataset consists of the following fields:\n\n- Instruction: This field represents the prompt or query posed to the chatbot.\n- Response: This field contains the corresponding generated response by the chatbot.", "## Dataset Structure Information\n\nThe dataset is structured in a JSON format, with each entry containing the following fields:", "### Curation Rationale\n\nThe motivation behind curating this dataset stems from a genuine desire to empower and support university students pursuing B.Tech degrees. Recognizing the pivotal role that IEEE Student Branch at Vishwakarma Institute of Technology (VIT) Pune plays in students' academic journeys, the aim was to create a resource that elucidates the myriad ways in which IEEE SB VIT Pune can enrich and enhance students' educational experiences.\nAt its core, this dataset is a testament to the commitment of the AI team at IEEE SB VIT Pune to empower B.Tech students with valuable insights and resources. By curating a comprehensive collection of topics spanning FAQs, placement strategies, technical concepts, and research discussions, the dataset seeks to equip students with the knowledge and understanding necessary to navigate their academic pursuits effectively.", "## Dataset Card Authors\n<br>AI Team- IEEE SB VIT Pune\n<br>Mrunmayee Phadke (Project Head)\n<br>Hritesh Maikap\n<br>Nidhish\n<br>Arya Lokhande\n<br>Apurva Kota\n<br>Soham Nimale" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Dataset Name\n\nThis dataset has been meticulously curated by the AI team at IEEE Student Branch, Vishwakarma Institute of Technology (VIT) Pune, with the explicit purpose of training the Llama2 model. It encompasses a diverse range of topics essential for the development of an effective conversational AI system.", "## Dataset Details", "### Dataset Description\nThe dataset comprises a comprehensive selection of topics, including but not limited to:\n\nFrequently Asked Questions (FAQs) related to IEEE Student Branch at VIT Pune.\nInquiries pertaining to placements, encompassing strategies, tips, and common queries.\nQuestions related to fundamental concepts in Data Structures and Algorithms.\nQueries and discussions regarding research papers, methodologies, and academic pursuits.\n\n- Curated by: AI Team- IEEE SB VIT Pune", "## Uses\n\nThis data was particularly designed for a chatbot for IEEE SB VIT Pune so that university students could use it for their own benifits, but it includes some general topics related to Research Papers, Data Structure and Algorithms and Placements that can be used by others for their custom chatbot", "## Dataset Structure\n\nThe dataset consists of the following fields:\n\n- Instruction: This field represents the prompt or query posed to the chatbot.\n- Response: This field contains the corresponding generated response by the chatbot.", "## Dataset Structure Information\n\nThe dataset is structured in a JSON format, with each entry containing the following fields:", "### Curation Rationale\n\nThe motivation behind curating this dataset stems from a genuine desire to empower and support university students pursuing B.Tech degrees. Recognizing the pivotal role that IEEE Student Branch at Vishwakarma Institute of Technology (VIT) Pune plays in students' academic journeys, the aim was to create a resource that elucidates the myriad ways in which IEEE SB VIT Pune can enrich and enhance students' educational experiences.\nAt its core, this dataset is a testament to the commitment of the AI team at IEEE SB VIT Pune to empower B.Tech students with valuable insights and resources. By curating a comprehensive collection of topics spanning FAQs, placement strategies, technical concepts, and research discussions, the dataset seeks to equip students with the knowledge and understanding necessary to navigate their academic pursuits effectively.", "## Dataset Card Authors\n<br>AI Team- IEEE SB VIT Pune\n<br>Mrunmayee Phadke (Project Head)\n<br>Hritesh Maikap\n<br>Nidhish\n<br>Arya Lokhande\n<br>Apurva Kota\n<br>Soham Nimale" ]

[ 6, 76, 4, 123, 69, 54, 29, 195, 68 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Dataset Name\n\nThis dataset has been meticulously curated by the AI team at IEEE Student Branch, Vishwakarma Institute of Technology (VIT) Pune, with the explicit purpose of training the Llama2 model. It encompasses a diverse range of topics essential for the development of an effective conversational AI system.## Dataset Details### Dataset Description\nThe dataset comprises a comprehensive selection of topics, including but not limited to:\n\nFrequently Asked Questions (FAQs) related to IEEE Student Branch at VIT Pune.\nInquiries pertaining to placements, encompassing strategies, tips, and common queries.\nQuestions related to fundamental concepts in Data Structures and Algorithms.\nQueries and discussions regarding research papers, methodologies, and academic pursuits.\n\n- Curated by: AI Team- IEEE SB VIT Pune## Uses\n\nThis data was particularly designed for a chatbot for IEEE SB VIT Pune so that university students could use it for their own benifits, but it includes some general topics related to Research Papers, Data Structure and Algorithms and Placements that can be used by others for their custom chatbot## Dataset Structure\n\nThe dataset consists of the following fields:\n\n- Instruction: This field represents the prompt or query posed to the chatbot.\n- Response: This field contains the corresponding generated response by the chatbot.## Dataset Structure Information\n\nThe dataset is structured in a JSON format, with each entry containing the following fields:" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of tyson0420/stack_codellama-7b-inst\n\n\n\nDataset automatically created during the evaluation run of model tyson0420/stack_codellama-7b-inst on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T13:18:15.759578(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of tyson0420/stack_codellama-7b-inst\n\n\n\nDataset automatically created during the evaluation run of model tyson0420/stack_codellama-7b-inst on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T13:18:15.759578(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 193, 68, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of tyson0420/stack_codellama-7b-inst\n\n\n\nDataset automatically created during the evaluation run of model tyson0420/stack_codellama-7b-inst on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T13:18:15.759578(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for \"pretrain_wiki\"\n\nMore Information needed" ]

[ "TAGS\n#region-us \n", "# Dataset Card for \"pretrain_wiki\"\n\nMore Information needed" ]

[ 6, 14 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for \"pretrain_wiki\"\n\nMore Information needed" ]

[ "license:cc-by-nc-4.0", "region:us" ]

[]

[]

[ "# ViNoM Dataset \n\n\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- License: This dataset is derived from VAW and VisualGnome. Please see their licenses at (URL and (URL\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Dataset Structure", "## Dataset Creation\n\n\n[optional]\n\nTBA\n\nBibTeX:\n\nTBA" ]

[ "TAGS\n#license-cc-by-nc-4.0 #region-us \n", "# ViNoM Dataset \n\n\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- License: This dataset is derived from VAW and VisualGnome. Please see their licenses at (URL and (URL\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Dataset Structure", "## Dataset Creation\n\n\n[optional]\n\nTBA\n\nBibTeX:\n\nTBA" ]

[ 17, 32, 4, 52, 6, 18 ]

[ "passage: TAGS\n#license-cc-by-nc-4.0 #region-us \n# ViNoM Dataset \n\n\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.## Dataset Details### Dataset Description\n\n\n\n\n\n- License: This dataset is derived from VAW and VisualGnome. Please see their licenses at (URL and (URL\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Dataset Structure## Dataset Creation\n\n\n[optional]\n\nTBA\n\nBibTeX:\n\nTBA" ]

[ "license:mit", "region:us" ]

[]

[]

[]

[ "TAGS\n#license-mit #region-us \n" ]

[ 11 ]

[ "passage: TAGS\n#license-mit #region-us \n" ]

[ "region:us" ]

[]

[]

[ "# Draft conversion of EdAcc\n\nFinal dataset will be moved to the edinburghcstr organisation." ]

[ "TAGS\n#region-us \n", "# Draft conversion of EdAcc\n\nFinal dataset will be moved to the edinburghcstr organisation." ]

[ 6, 23 ]

[ "passage: TAGS\n#region-us \n# Draft conversion of EdAcc\n\nFinal dataset will be moved to the edinburghcstr organisation." ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of bardsai/jaskier-7b-dpo-v4.3\n\n\n\nDataset automatically created during the evaluation run of model bardsai/jaskier-7b-dpo-v4.3 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T13:43:16.252848(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of bardsai/jaskier-7b-dpo-v4.3\n\n\n\nDataset automatically created during the evaluation run of model bardsai/jaskier-7b-dpo-v4.3 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T13:43:16.252848(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 191, 68, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of bardsai/jaskier-7b-dpo-v4.3\n\n\n\nDataset automatically created during the evaluation run of model bardsai/jaskier-7b-dpo-v4.3 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T13:43:16.252848(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for \"ultrachat_200k_filtered_1707919115\"\n\nMore Information needed" ]

[ "TAGS\n#region-us \n", "# Dataset Card for \"ultrachat_200k_filtered_1707919115\"\n\nMore Information needed" ]

[ 6, 24 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for \"ultrachat_200k_filtered_1707919115\"\n\nMore Information needed" ]

[ "region:us" ]

[]

[]

[ "# Args" ]

[ "TAGS\n#region-us \n", "# Args" ]

[ 6, 3 ]

[ "passage: TAGS\n#region-us \n# Args" ]

[ "task_categories:text-to-speech", "language:uk", "license:mit", "region:us" ]

[]

[ "uk" ]

[ "# Synthetic TTS Dataset", "## Overview\n\nThis dataset was created with the aim of exploring the concept of using synthetic datasets for training Text-to-Speech (TTS) models. It consists of 1,388 audio files with a total duration of 2 hours and 20 minutes and their corresponding textual transcripts. The dataset leverages the capabilities of advanced AI services, utilizing paid subscriptions to ChatGPT-4 for text generation and URL for audio generation.", "## Dataset Composition\n\n- Audio Files: 1,388 files\n- Total Duration: 2 hours and 20 minutes\n- Text Transcripts: Corresponding texts for each audio file", "## Purpose\n\nThe primary goal of this dataset is to provide a resource for testing and developing TTS models, particularly to evaluate the effectiveness of synthetic datasets in training such models.", "## Usage\n\nThis dataset is distributed \"as is\" under the MIT License, making it freely available for educational, research, and commercial purposes, with proper attribution required.", "## Model Training\n\nA pflow model has been trained using this dataset, showcasing its potential for TTS applications:\n\n- Model Checkpoints: Hugging Face - pyflowtts_uk_elevenlabs\n- Codebase: GitHub - skypro1111/pflowtts_pytorch_uk", "## License\n\nThis dataset is made available under the MIT License. See the LICENSE file in this repository for more details.\n\nIf you use this dataset in your research or project, please cite it as follows:", "## Acknowledgments\n\nCreated by @skypro1111, this dataset was made possible through the use of ChatGPT-4 by OpenAI and URL's audio generation capabilities.\n\n---\n\n© 2024 @skypro1111. All Rights Reserved." ]

[ "TAGS\n#task_categories-text-to-speech #language-Ukrainian #license-mit #region-us \n", "# Synthetic TTS Dataset", "## Overview\n\nThis dataset was created with the aim of exploring the concept of using synthetic datasets for training Text-to-Speech (TTS) models. It consists of 1,388 audio files with a total duration of 2 hours and 20 minutes and their corresponding textual transcripts. The dataset leverages the capabilities of advanced AI services, utilizing paid subscriptions to ChatGPT-4 for text generation and URL for audio generation.", "## Dataset Composition\n\n- Audio Files: 1,388 files\n- Total Duration: 2 hours and 20 minutes\n- Text Transcripts: Corresponding texts for each audio file", "## Purpose\n\nThe primary goal of this dataset is to provide a resource for testing and developing TTS models, particularly to evaluate the effectiveness of synthetic datasets in training such models.", "## Usage\n\nThis dataset is distributed \"as is\" under the MIT License, making it freely available for educational, research, and commercial purposes, with proper attribution required.", "## Model Training\n\nA pflow model has been trained using this dataset, showcasing its potential for TTS applications:\n\n- Model Checkpoints: Hugging Face - pyflowtts_uk_elevenlabs\n- Codebase: GitHub - skypro1111/pflowtts_pytorch_uk", "## License\n\nThis dataset is made available under the MIT License. See the LICENSE file in this repository for more details.\n\nIf you use this dataset in your research or project, please cite it as follows:", "## Acknowledgments\n\nCreated by @skypro1111, this dataset was made possible through the use of ChatGPT-4 by OpenAI and URL's audio generation capabilities.\n\n---\n\n© 2024 @skypro1111. All Rights Reserved." ]

[ 31, 8, 102, 37, 42, 39, 69, 47, 53 ]

[ "passage: TAGS\n#task_categories-text-to-speech #language-Ukrainian #license-mit #region-us \n# Synthetic TTS Dataset## Overview\n\nThis dataset was created with the aim of exploring the concept of using synthetic datasets for training Text-to-Speech (TTS) models. It consists of 1,388 audio files with a total duration of 2 hours and 20 minutes and their corresponding textual transcripts. The dataset leverages the capabilities of advanced AI services, utilizing paid subscriptions to ChatGPT-4 for text generation and URL for audio generation.## Dataset Composition\n\n- Audio Files: 1,388 files\n- Total Duration: 2 hours and 20 minutes\n- Text Transcripts: Corresponding texts for each audio file## Purpose\n\nThe primary goal of this dataset is to provide a resource for testing and developing TTS models, particularly to evaluate the effectiveness of synthetic datasets in training such models.## Usage\n\nThis dataset is distributed \"as is\" under the MIT License, making it freely available for educational, research, and commercial purposes, with proper attribution required.## Model Training\n\nA pflow model has been trained using this dataset, showcasing its potential for TTS applications:\n\n- Model Checkpoints: Hugging Face - pyflowtts_uk_elevenlabs\n- Codebase: GitHub - skypro1111/pflowtts_pytorch_uk## License\n\nThis dataset is made available under the MIT License. See the LICENSE file in this repository for more details.\n\nIf you use this dataset in your research or project, please cite it as follows:## Acknowledgments\n\nCreated by @skypro1111, this dataset was made possible through the use of ChatGPT-4 by OpenAI and URL's audio generation capabilities.\n\n---\n\n© 2024 @skypro1111. All Rights Reserved." ]

[ "region:us" ]

[]

[]

[ "# Args" ]

[ "TAGS\n#region-us \n", "# Args" ]

[ 6, 3 ]

[ "passage: TAGS\n#region-us \n# Args" ]

[ "region:us" ]

[]

[]

[ "# Args" ]

[ "TAGS\n#region-us \n", "# Args" ]

[ 6, 3 ]

[ "passage: TAGS\n#region-us \n# Args" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for \"ultrafeedback_binarized_1707919621\"\n\nMore Information needed" ]

[ "TAGS\n#region-us \n", "# Dataset Card for \"ultrafeedback_binarized_1707919621\"\n\nMore Information needed" ]

[ 6, 23 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for \"ultrafeedback_binarized_1707919621\"\n\nMore Information needed" ]

[ "region:us" ]

[]

[]

[ "# Args" ]

[ "TAGS\n#region-us \n", "# Args" ]

[ 6, 3 ]

[ "passage: TAGS\n#region-us \n# Args" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for \"ultrafeedback_binarized_1707920039\"\n\nMore Information needed" ]

[ "TAGS\n#region-us \n", "# Dataset Card for \"ultrafeedback_binarized_1707920039\"\n\nMore Information needed" ]

[ 6, 23 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for \"ultrafeedback_binarized_1707920039\"\n\nMore Information needed" ]

[ "region:us" ]

[]

[]

[ "# Args" ]

[ "TAGS\n#region-us \n", "# Args" ]

[ 6, 3 ]

[ "passage: TAGS\n#region-us \n# Args" ]

[ "region:us" ]

[]

[]

[ "# Args" ]

[ "TAGS\n#region-us \n", "# Args" ]

[ 6, 3 ]

[ "passage: TAGS\n#region-us \n# Args" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for \"ultrafeedback_binarized_1707921333\"\n\nMore Information needed" ]

[ "TAGS\n#region-us \n", "# Dataset Card for \"ultrafeedback_binarized_1707921333\"\n\nMore Information needed" ]

[ 6, 23 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for \"ultrafeedback_binarized_1707921333\"\n\nMore Information needed" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of Kquant03/NeuralTrix-7B-dpo-laser\n\n\n\nDataset automatically created during the evaluation run of model Kquant03/NeuralTrix-7B-dpo-laser on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T14:37:51.781058(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of Kquant03/NeuralTrix-7B-dpo-laser\n\n\n\nDataset automatically created during the evaluation run of model Kquant03/NeuralTrix-7B-dpo-laser on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T14:37:51.781058(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 193, 68, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of Kquant03/NeuralTrix-7B-dpo-laser\n\n\n\nDataset automatically created during the evaluation run of model Kquant03/NeuralTrix-7B-dpo-laser on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T14:37:51.781058(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]" ]

[ "task_categories:question-answering", "task_categories:summarization", "task_categories:text-generation", "language:en", "license:cc-by-sa-3.0", "region:us" ]

[]

[ "en" ]

[]

[ "TAGS\n#task_categories-question-answering #task_categories-summarization #task_categories-text-generation #language-English #license-cc-by-sa-3.0 #region-us \n" ]

[ 54 ]

[ "passage: TAGS\n#task_categories-question-answering #task_categories-summarization #task_categories-text-generation #language-English #license-cc-by-sa-3.0 #region-us \n" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of davzoku/frankencria-llama2-11b-v1.3-m.1\n\n\n\nDataset automatically created during the evaluation run of model davzoku/frankencria-llama2-11b-v1.3-m.1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T15:22:38.067991(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of davzoku/frankencria-llama2-11b-v1.3-m.1\n\n\n\nDataset automatically created during the evaluation run of model davzoku/frankencria-llama2-11b-v1.3-m.1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T15:22:38.067991(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 203, 68, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of davzoku/frankencria-llama2-11b-v1.3-m.1\n\n\n\nDataset automatically created during the evaluation run of model davzoku/frankencria-llama2-11b-v1.3-m.1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T15:22:38.067991(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]" ]

[ "arxiv:1807.04225", "region:us" ]

[ "1807.04225" ]

[]

[ "# Dataset Card for \"PGM\"\n\nDataset for the paper Measuring abstract reasoning in neural networks\n.\nOnly the 'neutral' config is present at this point." ]

[ "TAGS\n#arxiv-1807.04225 #region-us \n", "# Dataset Card for \"PGM\"\n\nDataset for the paper Measuring abstract reasoning in neural networks\n.\nOnly the 'neutral' config is present at this point." ]

[ 14, 40 ]

[ "passage: TAGS\n#arxiv-1807.04225 #region-us \n# Dataset Card for \"PGM\"\n\nDataset for the paper Measuring abstract reasoning in neural networks\n.\nOnly the 'neutral' config is present at this point." ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of davzoku/frankencria-llama2-12.5b-v1.3-m.2\n\n\n\nDataset automatically created during the evaluation run of model davzoku/frankencria-llama2-12.5b-v1.3-m.2 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T15:39:16.700250(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of davzoku/frankencria-llama2-12.5b-v1.3-m.2\n\n\n\nDataset automatically created during the evaluation run of model davzoku/frankencria-llama2-12.5b-v1.3-m.2 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T15:39:16.700250(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 203, 67, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of davzoku/frankencria-llama2-12.5b-v1.3-m.2\n\n\n\nDataset automatically created during the evaluation run of model davzoku/frankencria-llama2-12.5b-v1.3-m.2 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T15:39:16.700250(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for \"vctk\"\n\nMore Information needed" ]

[ "TAGS\n#region-us \n", "# Dataset Card for \"vctk\"\n\nMore Information needed" ]

[ 6, 12 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for \"vctk\"\n\nMore Information needed" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of yleo/EmertonMonarch-7B\n\n\n\nDataset automatically created during the evaluation run of model yleo/EmertonMonarch-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T15:51:06.640306(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of yleo/EmertonMonarch-7B\n\n\n\nDataset automatically created during the evaluation run of model yleo/EmertonMonarch-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T15:51:06.640306(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 181, 68, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of yleo/EmertonMonarch-7B\n\n\n\nDataset automatically created during the evaluation run of model yleo/EmertonMonarch-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T15:51:06.640306(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]## Dataset Card Contact" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of mlabonne/AlphaMonarch-7B\n\n\n\nDataset automatically created during the evaluation run of model mlabonne/AlphaMonarch-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T16:09:07.620660(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of mlabonne/AlphaMonarch-7B\n\n\n\nDataset automatically created during the evaluation run of model mlabonne/AlphaMonarch-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T16:09:07.620660(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 181, 68, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of mlabonne/AlphaMonarch-7B\n\n\n\nDataset automatically created during the evaluation run of model mlabonne/AlphaMonarch-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T16:09:07.620660(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]## Dataset Card Contact" ]

[ "language:yue", "license:cc-by-sa-4.0", "region:us" ]

[]

[ "yue" ]

[ "# Dataset Card for Cantonese XStoryCloze\n\nThis dataset is a Cantonese translation of the Simplified Chinese subset of juletxara/xstory_cloze. For more detailed information about the original dataset, please refer to the provided link.\n\nThis dataset is translated by indiejoseph/bart-translation-zh-yue and has not undergone any manual verification. The content may be inaccurate or misleading. please keep this in mind when using this dataset.", "## Sample", "## License\n\nThis dataset is provided under the same license as the original dataset: CC BY-SA 4.0", "## Limitation and Usage Limits\n\nPlease check the original dataset for more information." ]

[ "TAGS\n#language-Yue Chinese #license-cc-by-sa-4.0 #region-us \n", "# Dataset Card for Cantonese XStoryCloze\n\nThis dataset is a Cantonese translation of the Simplified Chinese subset of juletxara/xstory_cloze. For more detailed information about the original dataset, please refer to the provided link.\n\nThis dataset is translated by indiejoseph/bart-translation-zh-yue and has not undergone any manual verification. The content may be inaccurate or misleading. please keep this in mind when using this dataset.", "## Sample", "## License\n\nThis dataset is provided under the same license as the original dataset: CC BY-SA 4.0", "## Limitation and Usage Limits\n\nPlease check the original dataset for more information." ]

[ 23, 114, 3, 22, 18 ]

[ "passage: TAGS\n#language-Yue Chinese #license-cc-by-sa-4.0 #region-us \n# Dataset Card for Cantonese XStoryCloze\n\nThis dataset is a Cantonese translation of the Simplified Chinese subset of juletxara/xstory_cloze. For more detailed information about the original dataset, please refer to the provided link.\n\nThis dataset is translated by indiejoseph/bart-translation-zh-yue and has not undergone any manual verification. The content may be inaccurate or misleading. please keep this in mind when using this dataset.## Sample## License\n\nThis dataset is provided under the same license as the original dataset: CC BY-SA 4.0## Limitation and Usage Limits\n\nPlease check the original dataset for more information." ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of arlineka/Brunhilde-13b-v1\n\n\n\nDataset automatically created during the evaluation run of model arlineka/Brunhilde-13b-v1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T16:23:09.568559(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of arlineka/Brunhilde-13b-v1\n\n\n\nDataset automatically created during the evaluation run of model arlineka/Brunhilde-13b-v1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T16:23:09.568559(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 187, 67, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of arlineka/Brunhilde-13b-v1\n\n\n\nDataset automatically created during the evaluation run of model arlineka/Brunhilde-13b-v1 on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T16:23:09.568559(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]## Dataset Card Contact" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of yleo/EmertonMonarch-7B-slerp\n\n\n\nDataset automatically created during the evaluation run of model yleo/EmertonMonarch-7B-slerp on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 3 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T17:09:33.259511(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of yleo/EmertonMonarch-7B-slerp\n\n\n\nDataset automatically created during the evaluation run of model yleo/EmertonMonarch-7B-slerp on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 3 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T17:09:33.259511(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 187, 68, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of yleo/EmertonMonarch-7B-slerp\n\n\n\nDataset automatically created during the evaluation run of model yleo/EmertonMonarch-7B-slerp on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 3 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T17:09:33.259511(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]## Dataset Card Contact" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for \"wsd_myriade_synth_data_id_label\"\n\nMore Information needed" ]

[ "TAGS\n#region-us \n", "# Dataset Card for \"wsd_myriade_synth_data_id_label\"\n\nMore Information needed" ]

[ 6, 25 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for \"wsd_myriade_synth_data_id_label\"\n\nMore Information needed" ]

[ "license:mit", "code", "region:us" ]

[]

[]

[]

[ "TAGS\n#license-mit #code #region-us \n" ]

[ 13 ]

[ "passage: TAGS\n#license-mit #code #region-us \n" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Evaluation run of yleo/OgnoMonarch-7B\n\n\n\nDataset automatically created during the evaluation run of model yleo/OgnoMonarch-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T17:03:12.176917(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Evaluation run of yleo/OgnoMonarch-7B\n\n\n\nDataset automatically created during the evaluation run of model yleo/OgnoMonarch-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:", "## Latest results\n\nThese are the latest results from run 2024-02-14T17:03:12.176917(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 6, 179, 68, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#region-us \n# Dataset Card for Evaluation run of yleo/OgnoMonarch-7B\n\n\n\nDataset automatically created during the evaluation run of model yleo/OgnoMonarch-7B on the Open LLM Leaderboard.\n\nThe dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The \"train\" split is always pointing to the latest results.\n\nAn additional configuration \"results\" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the Open LLM Leaderboard).\n\nTo load the details from a run, you can for instance do the following:## Latest results\n\nThese are the latest results from run 2024-02-14T17:03:12.176917(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the \"latest\" split for each eval):## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]## Dataset Card Contact" ]

[ "license:mit", "code", "region:us" ]

[]

[]

[ "# Dataset Card for Dataset Name\n\n\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ "TAGS\n#license-mit #code #region-us \n", "# Dataset Card for Dataset Name\n\n\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.", "## Dataset Details", "### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:", "### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:", "## Uses", "### Direct Use", "### Out-of-Scope Use", "## Dataset Structure", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Data Collection and Processing", "#### Who are the source data producers?", "### Annotations [optional]", "#### Annotation process", "#### Who are the annotators?", "#### Personal and Sensitive Information", "## Bias, Risks, and Limitations", "### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:", "## Glossary [optional]", "## More Information [optional]", "## Dataset Card Authors [optional]", "## Dataset Card Contact" ]

[ 13, 34, 4, 40, 29, 3, 4, 9, 6, 5, 7, 4, 7, 10, 9, 5, 9, 8, 10, 46, 8, 7, 10, 5 ]

[ "passage: TAGS\n#license-mit #code #region-us \n# Dataset Card for Dataset Name\n\n\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.## Dataset Details### Dataset Description\n\n\n\n\n\n- Curated by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Language(s) (NLP): \n- License:### Dataset Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:## Uses### Direct Use### Out-of-Scope Use## Dataset Structure## Dataset Creation### Curation Rationale### Source Data#### Data Collection and Processing#### Who are the source data producers?### Annotations [optional]#### Annotation process#### Who are the annotators?#### Personal and Sensitive Information## Bias, Risks, and Limitations### Recommendations\n\n\n\nUsers should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.\n\n[optional]\n\n\n\nBibTeX:\n\n\n\nAPA:## Glossary [optional]## More Information [optional]## Dataset Card Authors [optional]## Dataset Card Contact" ]

[ "task_categories:graph-ml", "size_categories:1K<n<10K", "license:cc", "arxiv:2210.02016", "region:us" ]

[ "2210.02016" ]

[]

[]

[ "TAGS\n#task_categories-graph-ml #size_categories-1K<n<10K #license-cc #arxiv-2210.02016 #region-us \n" ]

[ 41 ]

[ "passage: TAGS\n#task_categories-graph-ml #size_categories-1K<n<10K #license-cc #arxiv-2210.02016 #region-us \n" ]

[ "task_categories:graph-ml", "size_categories:1K<n<10K", "license:cc", "arxiv:2210.02016", "region:us" ]

[ "2210.02016" ]

[]

[]

[ "TAGS\n#task_categories-graph-ml #size_categories-1K<n<10K #license-cc #arxiv-2210.02016 #region-us \n" ]

[ 41 ]

[ "passage: TAGS\n#task_categories-graph-ml #size_categories-1K<n<10K #license-cc #arxiv-2210.02016 #region-us \n" ]

[ "task_categories:graph-ml", "size_categories:1K<n<10K", "license:cc", "arxiv:2210.02016", "region:us" ]

[ "2210.02016" ]

[]

[]

[ "TAGS\n#task_categories-graph-ml #size_categories-1K<n<10K #license-cc #arxiv-2210.02016 #region-us \n" ]

[ 41 ]

[ "passage: TAGS\n#task_categories-graph-ml #size_categories-1K<n<10K #license-cc #arxiv-2210.02016 #region-us \n" ]

[ "task_categories:graph-ml", "size_categories:1K<n<10K", "license:cc", "arxiv:2210.02016", "region:us" ]

[ "2210.02016" ]

[]

[]

[ "TAGS\n#task_categories-graph-ml #size_categories-1K<n<10K #license-cc #arxiv-2210.02016 #region-us \n" ]

[ 41 ]

[ "passage: TAGS\n#task_categories-graph-ml #size_categories-1K<n<10K #license-cc #arxiv-2210.02016 #region-us \n" ]

[ "task_categories:graph-ml", "size_categories:1K<n<10K", "license:cc", "arxiv:2210.02016", "region:us" ]

[ "2210.02016" ]

[]

[]

[ "TAGS\n#task_categories-graph-ml #size_categories-1K<n<10K #license-cc #arxiv-2210.02016 #region-us \n" ]

[ 41 ]

[ "passage: TAGS\n#task_categories-graph-ml #size_categories-1K<n<10K #license-cc #arxiv-2210.02016 #region-us \n" ]