Update parquet files

.gitattributes

@@ -1,27 +0,0 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bin.* filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zstandard filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,190 +0,0 @@
----
-annotations_creators:
-- machine-generated
-language_creators:
-- found
-multilinguality:
-- monolingual
-size_categories:
-- 100K<n<1M
-source_datasets:
-- extended
-task_categories:
-- text-classification
-task_ids:
-- natural-language-inference
-language:
-- bn
-license:
-- cc-by-nc-sa-4.0
----
-
-# Dataset Card for `xnli_bn`
-
-## Table of Contents
-- [Dataset Card for `xnli_bn`](#dataset-card-for-xnli_bn)
-  - [Table of Contents](#table-of-contents)
-  - [Dataset Description](#dataset-description)
-    - [Dataset Summary](#dataset-summary)
-    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-    - [Languages](#languages)
-    - [Usage](#usage)
-  - [Dataset Structure](#dataset-structure)
-    - [Data Instances](#data-instances)
-    - [Data Fields](#data-fields)
-    - [Data Splits](#data-splits)
-  - [Dataset Creation](#dataset-creation)
-    - [Curation Rationale](#curation-rationale)
-    - [Source Data](#source-data)
-      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
-      - [Who are the source language producers?](#who-are-the-source-language-producers)
-    - [Annotations](#annotations)
-      - [Annotation process](#annotation-process)
-      - [Who are the annotators?](#who-are-the-annotators)
-    - [Personal and Sensitive Information](#personal-and-sensitive-information)
-  - [Considerations for Using the Data](#considerations-for-using-the-data)
-    - [Social Impact of Dataset](#social-impact-of-dataset)
-    - [Discussion of Biases](#discussion-of-biases)
-    - [Other Known Limitations](#other-known-limitations)
-  - [Additional Information](#additional-information)
-    - [Dataset Curators](#dataset-curators)
-    - [Licensing Information](#licensing-information)
-    - [Citation Information](#citation-information)
-    - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Repository:** [https://github.com/csebuetnlp/banglabert](https://github.com/csebuetnlp/banglabert)
-- **Paper:** [**"BanglaBERT: Combating Embedding Barrier in Multilingual Models for Low-Resource Language Understanding"**](https://arxiv.org/abs/2101.00204)
-- **Point of Contact:** [Tahmid Hasan](mailto:[email protected])
-
-### Dataset Summary
-
-This is a Natural Language Inference (NLI) dataset for Bengali, curated using the subset of
-MNLI data used in XNLI and state-of-the-art English to Bengali translation model introduced **[here](https://aclanthology.org/2020.emnlp-main.207/).**
-
-
-### Supported Tasks and Leaderboards
-
-[More information needed](https://github.com/csebuetnlp/banglabert)
-
-### Languages
-
-* `Bengali`
-
-### Usage
-```python
-from datasets import load_dataset
-dataset = load_dataset("csebuetnlp/xnli_bn")
-```
-## Dataset Structure
-
-### Data Instances
-
-One example from the dataset is given below in JSON format. 
-  ```
-  {
-    "sentence1": "আসলে, আমি এমনকি এই বিষয়ে চিন্তাও করিনি, কিন্তু আমি এত হতাশ হয়ে পড়েছিলাম যে, শেষ পর্যন্ত আমি আবার তার সঙ্গে কথা বলতে শুরু করেছিলাম",
-    "sentence2": "আমি তার সাথে আবার কথা বলিনি।",
-    "label": "contradiction"
-}
-  ```
-
-### Data Fields
-
-The data fields are as follows:
-
-- `sentence1`: a `string` feature indicating the premise.
-- `sentence2`: a `string` feature indicating the hypothesis.
-- `label`: a classification label, where possible values are `contradiction` (0), `entailment` (1), `neutral` (2) .
-
-### Data Splits
-|   split   |count  |
-|----------|--------|
-|`train`|  381449 |
-|`validation`| 2419  |
-|`test`| 4895 |
-
-
-
-
-## Dataset Creation
-
-The dataset curation procedure was the same as the [XNLI](https://aclanthology.org/D18-1269/) dataset: we translated the [MultiNLI](https://aclanthology.org/N18-1101/) training data using the English to Bangla translation model introduced [here](https://aclanthology.org/2020.emnlp-main.207/). Due to the possibility of incursions of error during automatic translation, we used the [Language-Agnostic BERT Sentence Embeddings (LaBSE)](https://arxiv.org/abs/2007.01852) of the translations and original sentences to compute their similarity. All sentences below a similarity threshold of 0.70 were discarded.
-
-### Curation Rationale
-
-[More information needed](https://github.com/csebuetnlp/banglabert)
-
-### Source Data
-
-[XNLI](https://aclanthology.org/D18-1269/)
-
-#### Initial Data Collection and Normalization
-
-[More information needed](https://github.com/csebuetnlp/banglabert)
-
-
-#### Who are the source language producers?
-
-[More information needed](https://github.com/csebuetnlp/banglabert)
-
-
-### Annotations
-
-[More information needed](https://github.com/csebuetnlp/banglabert)
-
-
-#### Annotation process
-
-[More information needed](https://github.com/csebuetnlp/banglabert)
-
-#### Who are the annotators?
-
-[More information needed](https://github.com/csebuetnlp/banglabert)
-
-### Personal and Sensitive Information
-
-[More information needed](https://github.com/csebuetnlp/banglabert)
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More information needed](https://github.com/csebuetnlp/banglabert)
-
-### Discussion of Biases
-
-[More information needed](https://github.com/csebuetnlp/banglabert)
-
-### Other Known Limitations
-
-[More information needed](https://github.com/csebuetnlp/banglabert)
-
-## Additional Information
-
-### Dataset Curators
-
-[More information needed](https://github.com/csebuetnlp/banglabert)
-
-### Licensing Information
-
-Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
-### Citation Information
-
-If you use the dataset, please cite the following paper:
-```
-@misc{bhattacharjee2021banglabert,
-      title={BanglaBERT: Combating Embedding Barrier in Multilingual Models for Low-Resource Language Understanding},
-      author={Abhik Bhattacharjee and Tahmid Hasan and Kazi Samin and Md Saiful Islam and M. Sohel Rahman and Anindya Iqbal and Rifat Shahriyar},
-      year={2021},
-      eprint={2101.00204},
-      archivePrefix={arXiv},
-      primaryClass={cs.CL}
-}
-```
-
-
-### Contributions
-
-Thanks to [@abhik1505040](https://github.com/abhik1505040) and [@Tahmid](https://github.com/Tahmid04) for adding this dataset.

dataset_infos.json

@@ -1 +0,0 @@
-{"xnli_bn": {"description": "This is a Natural Language Inference (NLI) dataset for Bengali, curated using the subset of\nMNLI data used in XNLI and state-of-the-art English to Bengali translation model.\n", "citation": "@misc{bhattacharjee2021banglabert,\n      title={BanglaBERT: Combating Embedding Barrier in Multilingual Models for Low-Resource Language Understanding},\n      author={Abhik Bhattacharjee and Tahmid Hasan and Kazi Samin and Md Saiful Islam and M. Sohel Rahman and Anindya Iqbal and Rifat Shahriyar},\n      year={2021},\n      eprint={2101.00204},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL}\n}\n", "homepage": "https://github.com/csebuetnlp/banglabert", "license": "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)", "features": {"sentence1": {"dtype": "string", "id": null, "_type": "Value"}, "sentence2": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["contradiction", "entailment", "neutral"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xnli_bn", "config_name": "xnli_bn", "version": {"version_str": "0.0.1", "description": null, "major": 0, "minor": 0, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 175660643, "num_examples": 381449, "dataset_name": "xnli_bn"}, "test": {"name": "test", "num_bytes": 2127035, "num_examples": 4895, "dataset_name": "xnli_bn"}, "validation": {"name": "validation", "num_bytes": 1046988, "num_examples": 2419, "dataset_name": "xnli_bn"}}, "download_checksums": {"https://huggingface.co/datasets/csebuetnlp/xnli_bn/resolve/main/data/xnli_bn.tar.bz2": {"num_bytes": 21437836, "checksum": "a91b4d3f8433a98fd6251396976b17b2385ef49ffbb207fabe8124fc6b066207"}}, "download_size": 21437836, "post_processing_size": null, "dataset_size": 178834666, "size_in_bytes": 200272502}}

xnli_bn.py

@@ -1,85 +0,0 @@
-"""XNLI Bengali dataset"""
-import json
-import os
-
-import datasets
-
-
-_CITATION = """\
-@misc{bhattacharjee2021banglabert,
-      title={BanglaBERT: Combating Embedding Barrier in Multilingual Models for Low-Resource Language Understanding},
-      author={Abhik Bhattacharjee and Tahmid Hasan and Kazi Samin and Md Saiful Islam and M. Sohel Rahman and Anindya Iqbal and Rifat Shahriyar},
-      year={2021},
-      eprint={2101.00204},
-      archivePrefix={arXiv},
-      primaryClass={cs.CL}
-}
-"""
-_DESCRIPTION = """\
-This is a Natural Language Inference (NLI) dataset for Bengali, curated using the subset of
-MNLI data used in XNLI and state-of-the-art English to Bengali translation model.
-"""
-_HOMEPAGE = "https://github.com/csebuetnlp/banglabert"
-_LICENSE = "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)"
-_URL = "https://huggingface.co/datasets/csebuetnlp/xnli_bn/resolve/main/data/xnli_bn.tar.bz2"
-_VERSION = datasets.Version("0.0.1")
-
-
-class XnliBn(datasets.GeneratorBasedBuilder):
-    """XNLI Bengali dataset"""
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="xnli_bn",
-            version=_VERSION,
-            description=_DESCRIPTION,
-        )
-    ]
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "sentence1": datasets.Value("string"),
-                "sentence2": datasets.Value("string"),
-                "label": datasets.features.ClassLabel(names=["contradiction", "entailment", "neutral"]),
-            }
-        )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-            version=_VERSION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        data_dir = os.path.join(dl_manager.download_and_extract(_URL), "xnli_bn")
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir, "train.jsonl"),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir, "test.jsonl"),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir, "validation.jsonl"),
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        """Yields examples as (key, example) tuples."""
-        with open(filepath, encoding="utf-8") as f:
-            for idx_, row in enumerate(f):
-                data = json.loads(row)
-                yield idx_, {"sentence1": data["sentence1"], "sentence2": data["sentence2"], "label": data["label"]}

dummy/xnli_bn/0.0.1/dummy_data.zip → xnli_bn/xnli_bn-test.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7f3afc959023cc7cd6e06556ca78567ca303b11459abd116ffeb6e498c5251df
-size 2658
+oid sha256:aaeb46426c194dfea3798e60dbd5501a844b583c57d753cc010fae745915dd27
+size 480486

data/xnli_bn.tar.bz2 → xnli_bn/xnli_bn-train.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a91b4d3f8433a98fd6251396976b17b2385ef49ffbb207fabe8124fc6b066207
-size 21437836
+oid sha256:18ed2cd4a7cade2cacf7ed27e57c9d260e9d670ee2a25877fc66b44239815b4c
+size 74629384

xnli_bn/xnli_bn-validation.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:45f6f2e4642d8ab272ac74cf6071bb55f677288b5efeac34063551b3ef1e9624
+size 242200