original copy from `commonsense_qa`

README.md

@@ -1,3 +1,224 @@
 ---
-license: mit
+annotations_creators:
+- crowdsourced
+language_creators:
+- crowdsourced
+language:
+- en
+license:
+- mit
+multilinguality:
+- monolingual
+pretty_name: CommonsenseQA
+size_categories:
+- 1K<n<10K
+source_datasets:
+- original
+task_categories:
+- question-answering
+task_ids:
+- open-domain-qa
+paperswithcode_id: commonsenseqa
+dataset_info:
+  features:
+  - name: id
+    dtype: string
+  - name: question
+    dtype: string
+  - name: question_concept
+    dtype: string
+  - name: choices
+    sequence:
+    - name: label
+      dtype: string
+    - name: text
+      dtype: string
+  - name: answerKey
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 2209044
+    num_examples: 9741
+  - name: validation
+    num_bytes: 274033
+    num_examples: 1221
+  - name: test
+    num_bytes: 258017
+    num_examples: 1140
+  download_size: 4680691
+  dataset_size: 2741094
 ---
+
+# Dataset Card for "commonsense_qa"
+
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [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)
+  - [Annotations](#annotations)
+  - [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
+
+- **Homepage:** https://www.tau-nlp.org/commonsenseqa
+- **Repository:** https://github.com/jonathanherzig/commonsenseqa
+- **Paper:** https://arxiv.org/abs/1811.00937
+- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Size of downloaded dataset files:** 4.68 MB
+- **Size of the generated dataset:** 2.18 MB
+- **Total amount of disk used:** 6.86 MB
+
+### Dataset Summary
+
+CommonsenseQA is a new multiple-choice question answering dataset that requires different types of commonsense knowledge
+to predict the correct answers . It contains 12,102 questions with one correct answer and four distractor answers.
+The dataset is provided in two major training/validation/testing set splits: "Random split" which is the main evaluation
+split, and "Question token split", see paper for details.
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Languages
+
+The dataset is in English (`en`).
+
+## Dataset Structure
+
+### Data Instances
+
+#### default
+
+- **Size of downloaded dataset files:** 4.68 MB
+- **Size of the generated dataset:** 2.18 MB
+- **Total amount of disk used:** 6.86 MB
+
+An example of 'train' looks as follows:
+```
+{'id': '075e483d21c29a511267ef62bedc0461',
+ 'question': 'The sanctions against the school were a punishing blow, and they seemed to what the efforts the school had made to change?',
+ 'question_concept': 'punishing',
+ 'choices': {'label': ['A', 'B', 'C', 'D', 'E'],
+  'text': ['ignore', 'enforce', 'authoritarian', 'yell at', 'avoid']},
+ 'answerKey': 'A'}
+```
+
+### Data Fields
+
+The data fields are the same among all splits.
+
+#### default
+- `id` (`str`): Unique ID.
+- `question`: a `string` feature.
+- `question_concept` (`str`): ConceptNet concept associated to the question.
+- `choices`: a dictionary feature containing:
+  - `label`: a `string` feature.
+  - `text`: a `string` feature.
+- `answerKey`: a `string` feature.
+
+### Data Splits
+
+| name    | train | validation | test |
+|---------|------:|-----------:|-----:|
+| default |  9741 |       1221 | 1140 |
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+#### Who are the source language producers?
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+#### Who are the annotators?
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Personal and Sensitive Information
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Discussion of Biases
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Other Known Limitations
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Licensing Information
+
+The dataset is licensed under the MIT License.
+
+See: https://github.com/jonathanherzig/commonsenseqa/issues/5
+
+### Citation Information
+
+```
+@inproceedings{talmor-etal-2019-commonsenseqa,
+    title = "{C}ommonsense{QA}: A Question Answering Challenge Targeting Commonsense Knowledge",
+    author = "Talmor, Alon  and
+      Herzig, Jonathan  and
+      Lourie, Nicholas  and
+      Berant, Jonathan",
+    booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)",
+    month = jun,
+    year = "2019",
+    address = "Minneapolis, Minnesota",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/N19-1421",
+    doi = "10.18653/v1/N19-1421",
+    pages = "4149--4158",
+    archivePrefix = "arXiv",
+    eprint        = "1811.00937",
+    primaryClass  = "cs",
+}
+```
+
+### Contributions
+
+Thanks to [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun), [@albertvillanova](https://github.com/albertvillanova), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.

commonsense_qa.py

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+"""CommonsenseQA dataset."""
+
+
+import json
+
+import datasets
+
+
+_HOMEPAGE = "https://www.tau-nlp.org/commonsenseqa"
+
+_DESCRIPTION = """\
+CommonsenseQA is a new multiple-choice question answering dataset that requires different types of commonsense knowledge
+to predict the correct answers . It contains 12,102 questions with one correct answer and four distractor answers.
+The dataset is provided in two major training/validation/testing set splits: "Random split" which is the main evaluation
+split, and "Question token split", see paper for details.
+"""
+
+_CITATION = """\
+@inproceedings{talmor-etal-2019-commonsenseqa,
+    title = "{C}ommonsense{QA}: A Question Answering Challenge Targeting Commonsense Knowledge",
+    author = "Talmor, Alon  and
+      Herzig, Jonathan  and
+      Lourie, Nicholas  and
+      Berant, Jonathan",
+    booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)",
+    month = jun,
+    year = "2019",
+    address = "Minneapolis, Minnesota",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/N19-1421",
+    doi = "10.18653/v1/N19-1421",
+    pages = "4149--4158",
+    archivePrefix = "arXiv",
+    eprint        = "1811.00937",
+    primaryClass  = "cs",
+}
+"""
+
+_URL = "https://s3.amazonaws.com/commensenseqa"
+_URLS = {
+    "train": f"{_URL}/train_rand_split.jsonl",
+    "validation": f"{_URL}/dev_rand_split.jsonl",
+    "test": f"{_URL}/test_rand_split_no_answers.jsonl",
+}
+
+
+class CommonsenseQa(datasets.GeneratorBasedBuilder):
+    """CommonsenseQA dataset."""
+
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "id": datasets.Value("string"),
+                "question": datasets.Value("string"),
+                "question_concept": datasets.Value("string"),
+                "choices": datasets.features.Sequence(
+                    {
+                        "label": datasets.Value("string"),
+                        "text": datasets.Value("string"),
+                    }
+                ),
+                "answerKey": datasets.Value("string"),
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        filepaths = dl_manager.download_and_extract(_URLS)
+        splits = [datasets.Split.TRAIN, datasets.Split.VALIDATION, datasets.Split.TEST]
+        return [
+            datasets.SplitGenerator(
+                name=split,
+                gen_kwargs={
+                    "filepath": filepaths[split],
+                },
+            )
+            for split in splits
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        with open(filepath, encoding="utf-8") as f:
+            for uid, row in enumerate(f):
+                data = json.loads(row)
+                choices = data["question"]["choices"]
+                labels = [label["label"] for label in choices]
+                texts = [text["text"] for text in choices]
+                yield uid, {
+                    "id": data["id"],
+                    "question": data["question"]["stem"],
+                    "question_concept": data["question"]["question_concept"],
+                    "choices": {"label": labels, "text": texts},
+                    "answerKey": data.get("answerKey", ""),
+                }

dataset_infos.json

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+{"default": {"description": "CommonsenseQA is a new multiple-choice question answering dataset that requires different types of commonsense knowledge\nto predict the correct answers . It contains 12,102 questions with one correct answer and four distractor answers.\nThe dataset is provided in two major training/validation/testing set splits: \"Random split\" which is the main evaluation\nsplit, and \"Question token split\", see paper for details.\n", "citation": "@inproceedings{talmor-etal-2019-commonsenseqa,\n    title = \"{C}ommonsense{QA}: A Question Answering Challenge Targeting Commonsense Knowledge\",\n    author = \"Talmor, Alon  and\n      Herzig, Jonathan  and\n      Lourie, Nicholas  and\n      Berant, Jonathan\",\n    booktitle = \"Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)\",\n    month = jun,\n    year = \"2019\",\n    address = \"Minneapolis, Minnesota\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/N19-1421\",\n    doi = \"10.18653/v1/N19-1421\",\n    pages = \"4149--4158\",\n    archivePrefix = \"arXiv\",\n    eprint        = \"1811.00937\",\n    primaryClass  = \"cs\",\n}\n", "homepage": "https://www.tau-nlp.org/commonsenseqa", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "question_concept": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "commonsense_qa", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2209044, "num_examples": 9741, "dataset_name": "commonsense_qa"}, "validation": {"name": "validation", "num_bytes": 274033, "num_examples": 1221, "dataset_name": "commonsense_qa"}, "test": {"name": "test", "num_bytes": 258017, "num_examples": 1140, "dataset_name": "commonsense_qa"}}, "download_checksums": {"https://s3.amazonaws.com/commensenseqa/train_rand_split.jsonl": {"num_bytes": 3785890, "checksum": "58ffa3c8472410e24b8c43f423d89c8a003d8284698a6ed7874355dedd09a2fb"}, "https://s3.amazonaws.com/commensenseqa/dev_rand_split.jsonl": {"num_bytes": 471653, "checksum": "3210497fdaae614ac085d9eb873dd7f4d49b6f965a93adadc803e1229fd8a02a"}, "https://s3.amazonaws.com/commensenseqa/test_rand_split_no_answers.jsonl": {"num_bytes": 423148, "checksum": "b426896d71a9cd064cf01cfaf6e920817c51701ef66028883ac1af2e73ad5f29"}}, "download_size": 4680691, "post_processing_size": null, "dataset_size": 2741094, "size_in_bytes": 7421785}}

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