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--- |
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license: apache-2.0 |
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task_categories: |
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- table-question-answering |
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- text2text-generation |
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language: |
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- en |
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size_categories: |
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- 10K<n<100K |
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--- |
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src="https://huggingface.co/datasets/MihoZaki/M2Q2/embed/viewer" |
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frameborder="0" |
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></iframe> |
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# Dataset Card for M2Q2+ |
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<!-- Provide a quick summary of the dataset. --> |
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M2Q2+ is a dataset designed for **question answering** and **information retrieval** tasks related to MongoDB, a popular NoSQL database. It contains pairs of **natural language questions** and corresponding **MongoDB fetch queries**, making it ideal for training models to translate natural language into database queries. |
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This dataset is intended to support research and development in natural language processing (NLP), question answering (QA), and database management systems (DBMS). |
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## Dataset Details |
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### Dataset Description |
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- **Curated by:** Aicha Aggoune, Zakaria Mihoubi |
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- **Language(s) (NLP):** English |
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- **License:** apache 2.0 |
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## Uses |
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### Direct Use |
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This dataset is suitable for: |
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- Training models to translate natural language questions into MongoDB queries. |
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- Research in natural language processing (NLP) and database management systems (DBMS). |
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- Building question-answering systems for MongoDB. |
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### Out-of-Scope Use |
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- This dataset is not intended for tasks unrelated to MongoDB or database querying. |
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- It should not be used for malicious purposes, such as generating harmful or unauthorized queries. |
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## Dataset Structure |
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The dataset is provided in CSV format with the following columns: |
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- `question`: A natural language question about MongoDB. |
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- `query`: The corresponding MongoDB fetch query that answers the question. |
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Example rows: |
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| question | query | |
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|-----------------------------------------------|-----------------------------------------------------------------------| |
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| How many nominations did the movie The Life of Emile Zola receive? | `db.movies.find({"title":"The Life of Emile Zola"}, {"awards.nominations":1})` | |
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| Who stars in Broken Blossoms or The Yellow Man and the Girl? | `db.movies.find({"title": "Broken Blossoms or The Yellow Man and the Girl"}, {"cast": 1})` | |
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| Can you tell me which film genres Yasujiro Ozu has directed? | `db.movies.distinct("genres", { "directors": "Yasujiro Ozu" })` | |
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### Splits |
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- **Train**: ~60,000 question-query pairs. |
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- **Validation**: 10,000 question-query pairs. |
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- **Test**: 10,000 question-query pairs. |
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- **Total Size**: ~80,000 question-query pairs. |
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## Dataset Creation |
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### Curation Rationale |
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This dataset was created to address the absence of a NoSQL (MongoDB) version of WikiSQL. It aims to bridge the gap between natural language and database querying, making databases more accessible to non-technical users. |
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### Source Data |
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#### Data Collection and Processing |
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- **Questions**: Collected from real-world scenarios and common MongoDB use cases. |
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- **Queries**: Manually crafted to ensure accuracy and relevance to the questions. |
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- **Augmentation**: A multi-step pipeline was used to augment the dataset. |
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- **Execution**: Queries were executed on a real MongoDB database (the `movies` collection from the **Mflix** database). |
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- **Formatting**: Structured into CSV format for ease of use. |
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#### Who are the source data producers? |
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- **Questions**: Curated by Aicha Aggoune, Zakaria Mihoubi. |
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- **Queries**: Written by Aicha Aggoune, Zakaria Mihoubi with expertise in MongoDB. |
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- **Mflix Database**: The `movies` collection from the **Mflix** database was used as a resource. Credit to MongoDB Atlas for providing the sample data. |
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### Annotations |
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- **Annotation process**: Questions and queries were manually paired and validated for accuracy. |
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- **Annotation guidelines**: Queries were written to match the intent of the questions precisely. |
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## Bias, Risks, and Limitations |
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- **Bias**: The dataset may reflect biases in the types of questions and queries included. |
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- **Risks**: Misuse of the dataset could lead to the generation of harmful or unauthorized queries. |
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- **Limitations**: The dataset is limited to fetch operations in MongoDB and does not cover other database operations. |
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## Future Improvements |
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- **Improve Question Quality**: Enhance the diversity and complexity of natural language questions. |
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- **Diversify Query Types**: Increase the number of queries utilizing other fetch operation types: **countDocuments()** and **aggregate()**. |
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