copy origin hellaswag

README.md

@@ -0,0 +1,209 @@
+---
+language:
+- en
+paperswithcode_id: hellaswag
+pretty_name: HellaSwag
+dataset_info:
+  features:
+  - name: ind
+    dtype: int32
+  - name: activity_label
+    dtype: string
+  - name: ctx_a
+    dtype: string
+  - name: ctx_b
+    dtype: string
+  - name: ctx
+    dtype: string
+  - name: endings
+    sequence: string
+  - name: source_id
+    dtype: string
+  - name: split
+    dtype: string
+  - name: split_type
+    dtype: string
+  - name: label
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 43232624
+    num_examples: 39905
+  - name: test
+    num_bytes: 10791853
+    num_examples: 10003
+  - name: validation
+    num_bytes: 11175717
+    num_examples: 10042
+  download_size: 71494896
+  dataset_size: 65200194
+---
+
+# Dataset Card for "hellaswag"
+
+## 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://rowanzellers.com/hellaswag/](https://rowanzellers.com/hellaswag/)
+- **Repository:** [https://github.com/rowanz/hellaswag/](https://github.com/rowanz/hellaswag/)
+- **Paper:** [HellaSwag: Can a Machine Really Finish Your Sentence?](https://arxiv.org/abs/1905.07830)
+- **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:** 71.49 MB
+- **Size of the generated dataset:** 65.32 MB
+- **Total amount of disk used:** 136.81 MB
+
+### Dataset Summary
+
+HellaSwag: Can a Machine Really Finish Your Sentence? is a new dataset for commonsense NLI. A paper was published at ACL2019.
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Languages
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## Dataset Structure
+
+### Data Instances
+
+#### default
+
+- **Size of downloaded dataset files:** 71.49 MB
+- **Size of the generated dataset:** 65.32 MB
+- **Total amount of disk used:** 136.81 MB
+
+An example of 'train' looks as follows.
+```
+This example was too long and was cropped:
+
+{
+    "activity_label": "Removing ice from car",
+    "ctx": "Then, the man writes over the snow covering the window of a car, and a woman wearing winter clothes smiles. then",
+    "ctx_a": "Then, the man writes over the snow covering the window of a car, and a woman wearing winter clothes smiles.",
+    "ctx_b": "then",
+    "endings": "[\", the man adds wax to the windshield and cuts it.\", \", a person board a ski lift, while two men supporting the head of the per...",
+    "ind": 4,
+    "label": "3",
+    "source_id": "activitynet~v_-1IBHYS3L-Y",
+    "split": "train",
+    "split_type": "indomain"
+}
+```
+
+### Data Fields
+
+The data fields are the same among all splits.
+
+#### default
+- `ind`: a `int32` feature.
+- `activity_label`: a `string` feature.
+- `ctx_a`: a `string` feature.
+- `ctx_b`: a `string` feature.
+- `ctx`: a `string` feature.
+- `endings`: a `list` of `string` features.
+- `source_id`: a `string` feature.
+- `split`: a `string` feature.
+- `split_type`: a `string` feature.
+- `label`: a `string` feature.
+
+### Data Splits
+
+| name  |train|validation|test |
+|-------|----:|---------:|----:|
+|default|39905|     10042|10003|
+
+## 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
+
+MIT https://github.com/rowanz/hellaswag/blob/master/LICENSE
+
+### Citation Information
+
+```
+@inproceedings{zellers2019hellaswag,
+    title={HellaSwag: Can a Machine Really Finish Your Sentence?},
+    author={Zellers, Rowan and Holtzman, Ari and Bisk, Yonatan and Farhadi, Ali and Choi, Yejin},
+    booktitle ={Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
+    year={2019}
+}
+
+```
+
+
+### Contributions
+
+Thanks to [@albertvillanova](https://github.com/albertvillanova), [@mariamabarham](https://github.com/mariamabarham), [@thomwolf](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun) for adding this dataset.

dataset_dict.json

@@ -1 +0,0 @@
-{"splits": ["train", "test", "validation"]}

dataset_infos.json

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+{"default": {"description": "\nHellaSwag: Can a Machine Really Finish Your Sentence? is a new dataset for commonsense NLI. A paper was published at ACL2019.\n", "citation": "@inproceedings{zellers2019hellaswag,\n    title={HellaSwag: Can a Machine Really Finish Your Sentence?},\n    author={Zellers, Rowan and Holtzman, Ari and Bisk, Yonatan and Farhadi, Ali and Choi, Yejin},\n    booktitle ={Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},\n    year={2019}\n}\n", "homepage": "https://rowanzellers.com/hellaswag/", "license": "", "features": {"ind": {"dtype": "int32", "id": null, "_type": "Value"}, "activity_label": {"dtype": "string", "id": null, "_type": "Value"}, "ctx_a": {"dtype": "string", "id": null, "_type": "Value"}, "ctx_b": {"dtype": "string", "id": null, "_type": "Value"}, "ctx": {"dtype": "string", "id": null, "_type": "Value"}, "endings": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "source_id": {"dtype": "string", "id": null, "_type": "Value"}, "split": {"dtype": "string", "id": null, "_type": "Value"}, "split_type": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "hellaswag", "config_name": "default", "version": {"version_str": "0.1.0", "description": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 43232624, "num_examples": 39905, "dataset_name": "hellaswag"}, "test": {"name": "test", "num_bytes": 10791853, "num_examples": 10003, "dataset_name": "hellaswag"}, "validation": {"name": "validation", "num_bytes": 11175717, "num_examples": 10042, "dataset_name": "hellaswag"}}, "download_checksums": {"https://raw.githubusercontent.com/rowanz/hellaswag/master/data/hellaswag_train.jsonl": {"num_bytes": 47496131, "checksum": "dae5e69249868cb9fe4e23ff925c60b66169564cfb7072d793cd7356a2b69f8d"}, "https://raw.githubusercontent.com/rowanz/hellaswag/master/data/hellaswag_test.jsonl": {"num_bytes": 11752147, "checksum": "da082b00543e422b8d25394614d102944586986def4de5cd1bd36d86bcb76261"}, "https://raw.githubusercontent.com/rowanz/hellaswag/master/data/hellaswag_val.jsonl": {"num_bytes": 12246618, "checksum": "0aa3b88843990f3f10a97b9575c94d7b71fb2205240ba04ae4884d9e9c992588"}}, "download_size": 71494896, "post_processing_size": null, "dataset_size": 65200194, "size_in_bytes": 136695090}}

syc-hellaswag2.py

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+"""TODO(hellaswag): Add a description here."""
+
+
+import json
+
+import datasets
+
+
+# TODO(hellaswag): BibTeX citation
+_CITATION = """\
+@inproceedings{zellers2019hellaswag,
+    title={HellaSwag: Can a Machine Really Finish Your Sentence?},
+    author={Zellers, Rowan and Holtzman, Ari and Bisk, Yonatan and Farhadi, Ali and Choi, Yejin},
+    booktitle ={Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
+    year={2019}
+}
+"""
+
+_DESCRIPTION = """
+HellaSwag: Can a Machine Really Finish Your Sentence? is a new dataset for commonsense NLI. A paper was published at ACL2019.
+"""
+_URL = "https://raw.githubusercontent.com/rowanz/hellaswag/master/data/"
+_URLS = {
+    "train": _URL + "hellaswag_train.jsonl",
+    "test": _URL + "hellaswag_test.jsonl",
+    "dev": _URL + "hellaswag_val.jsonl",
+}
+
+
+class Hellaswag(datasets.GeneratorBasedBuilder):
+    """TODO(hellaswag): Short description of my dataset."""
+
+    # TODO(hellaswag): Set up version.
+    VERSION = datasets.Version("0.1.0")
+
+    def _info(self):
+        # TODO(hellaswag): Specifies the datasets.DatasetInfo object
+        return datasets.DatasetInfo(
+            # This is the description that will appear on the datasets page.
+            description=_DESCRIPTION,
+            # datasets.features.FeatureConnectors
+            features=datasets.Features(
+                {
+                    # These are the features of your dataset like images, labels ...
+                    "ind": datasets.Value("int32"),
+                    "activity_label": datasets.Value("string"),
+                    "ctx_a": datasets.Value("string"),
+                    "ctx_b": datasets.Value("string"),
+                    "ctx": datasets.Value("string"),
+                    "endings": datasets.features.Sequence(datasets.Value("string")),
+                    "source_id": datasets.Value("string"),
+                    "split": datasets.Value("string"),
+                    "split_type": datasets.Value("string"),
+                    "label": datasets.Value("string"),
+                }
+            ),
+            # If there's a common (input, target) tuple from the features,
+            # specify them here. They'll be used if as_supervised=True in
+            # builder.as_dataset.
+            supervised_keys=None,
+            # Homepage of the dataset for documentation
+            homepage="https://rowanzellers.com/hellaswag/",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        # TODO(hellaswag): Downloads the data and defines the splits
+        # dl_manager is a datasets.download.DownloadManager that can be used to
+        # download and extract URLs
+        urls_to_download = _URLS
+        dl_dir = dl_manager.download_and_extract(urls_to_download)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"filepath": dl_dir["train"]},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"filepath": dl_dir["test"]},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"filepath": dl_dir["dev"]},
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        # TODO(hellaswag): Yields (key, example) tuples from the dataset
+        with open(filepath, encoding="utf-8") as f:
+            for id_, row in enumerate(f):
+                data = json.loads(row)
+                yield id_, {
+                    "ind": int(data["ind"]),
+                    "activity_label": data["activity_label"],
+                    "ctx_a": data.get("ctx_a", ""),
+                    "ctx_b": data.get("ctx_b", ""),
+                    "ctx": data["ctx"],
+                    "endings": data.get("endings", []),
+                    "source_id": data["source_id"],
+                    "split": data["split"],
+                    "split_type": data["split_type"],
+                    "label": str(data.get("label", "")),
+                }

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test/dataset_info.json

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-{
-  "builder_name": "hellaswag",
-  "citation": "@inproceedings{zellers2019hellaswag,\n    title={HellaSwag: Can a Machine Really Finish Your Sentence?},\n    author={Zellers, Rowan and Holtzman, Ari and Bisk, Yonatan and Farhadi, Ali and Choi, Yejin},\n    booktitle ={Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},\n    year={2019}\n}\n",
-  "config_name": "default",
-  "dataset_size": 65200194,
-  "description": "\nHellaSwag: Can a Machine Really Finish Your Sentence? is a new dataset for commonsense NLI. A paper was published at ACL2019.\n",
-  "download_checksums": {
-    "https://raw.githubusercontent.com/rowanz/hellaswag/master/data/hellaswag_train.jsonl": {
-      "num_bytes": 47496131,
-      "checksum": "dae5e69249868cb9fe4e23ff925c60b66169564cfb7072d793cd7356a2b69f8d"
-    },
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-    },
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-      "num_bytes": 12246618,
-      "checksum": "0aa3b88843990f3f10a97b9575c94d7b71fb2205240ba04ae4884d9e9c992588"
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-  "download_size": 71494896,
-  "features": {
-    "ind": {
-      "dtype": "int32",
-      "id": null,
-      "_type": "Value"
-    },
-    "activity_label": {
-      "dtype": "string",
-      "id": null,
-      "_type": "Value"
-    },
-    "ctx_a": {
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-      "id": null,
-      "_type": "Value"
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-      "dtype": "string",
-      "id": null,
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-  "homepage": "https://rowanzellers.com/hellaswag/",
-  "license": "",
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-  "post_processing_size": null,
-  "size_in_bytes": 136695090,
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-      "num_examples": 39905,
-      "dataset_name": "hellaswag"
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-      "num_examples": 10003,
-      "dataset_name": "hellaswag"
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-      "num_examples": 10042,
-      "dataset_name": "hellaswag"
-    }
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-  "supervised_keys": null,
-  "task_templates": null,
-  "version": {
-    "version_str": "0.1.0",
-    "description": null,
-    "major": 0,
-    "minor": 1,
-    "patch": 0
-  }
-}

test/state.json

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-{
-  "_data_files": [
-    {
-      "filename": "dataset.arrow"
-    }
-  ],
-  "_fingerprint": "126f4955bd0c79c0",
-  "_format_columns": null,
-  "_format_kwargs": {},
-  "_format_type": null,
-  "_indexes": {},
-  "_output_all_columns": false,
-  "_split": "test"
-}

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train/dataset_info.json

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-{
-  "builder_name": "hellaswag",
-  "citation": "@inproceedings{zellers2019hellaswag,\n    title={HellaSwag: Can a Machine Really Finish Your Sentence?},\n    author={Zellers, Rowan and Holtzman, Ari and Bisk, Yonatan and Farhadi, Ali and Choi, Yejin},\n    booktitle ={Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},\n    year={2019}\n}\n",
-  "config_name": "default",
-  "dataset_size": 65200194,
-  "description": "\nHellaSwag: Can a Machine Really Finish Your Sentence? is a new dataset for commonsense NLI. A paper was published at ACL2019.\n",
-  "download_checksums": {
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-      "id": null,
-      "_type": "Value"
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-      "dtype": "string",
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-  "size_in_bytes": 136695090,
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-      "num_examples": 39905,
-      "dataset_name": "hellaswag"
-    },
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-      "name": "test",
-      "num_bytes": 10791853,
-      "num_examples": 10003,
-      "dataset_name": "hellaswag"
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-      "num_examples": 10042,
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-}

train/state.json

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-{
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validation/dataset_info.json

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-{
-  "builder_name": "hellaswag",
-  "citation": "@inproceedings{zellers2019hellaswag,\n    title={HellaSwag: Can a Machine Really Finish Your Sentence?},\n    author={Zellers, Rowan and Holtzman, Ari and Bisk, Yonatan and Farhadi, Ali and Choi, Yejin},\n    booktitle ={Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},\n    year={2019}\n}\n",
-  "config_name": "default",
-  "dataset_size": 65200194,
-  "description": "\nHellaSwag: Can a Machine Really Finish Your Sentence? is a new dataset for commonsense NLI. A paper was published at ACL2019.\n",
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validation/state.json

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-{
-  "_data_files": [
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-  "_fingerprint": "9042f0834e9b2f00",
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