Update files from the datasets library (from 1.3.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.3.0

README.md

@@ -0,0 +1,166 @@
+---
+---
+
+# Dataset Card for "common_gen"
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits Sample Size](#data-splits-sample-size)
+- [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](#dataset-description)
+
+- **Homepage:** [https://inklab.usc.edu/CommonGen/index.html](https://inklab.usc.edu/CommonGen/index.html)
+- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **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:** 1.76 MB
+- **Size of the generated dataset:** 6.88 MB
+- **Total amount of disk used:** 8.64 MB
+
+### [Dataset Summary](#dataset-summary)
+
+CommonGen is a constrained text generation task, associated with a benchmark dataset,
+to explicitly test machines for the ability of generative commonsense reasoning. Given
+a set of common concepts; the task is to generate a coherent sentence describing an
+everyday scenario using these concepts.
+
+CommonGen is challenging because it inherently requires 1) relational reasoning using
+background commonsense knowledge, and 2) compositional generalization ability to work
+on unseen concept combinations. Our dataset, constructed through a combination of
+crowd-sourcing from AMT and existing caption corpora, consists of 30k concept-sets and
+50k sentences in total.
+
+### [Supported Tasks](#supported-tasks)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Languages](#languages)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## [Dataset Structure](#dataset-structure)
+
+We show detailed information for up to 5 configurations of the dataset.
+
+### [Data Instances](#data-instances)
+
+#### default
+
+- **Size of downloaded dataset files:** 1.76 MB
+- **Size of the generated dataset:** 6.88 MB
+- **Total amount of disk used:** 8.64 MB
+
+An example of 'train' looks as follows.
+```
+{
+    "concept_set_idx": 0,
+    "concepts": ["ski", "mountain", "skier"],
+    "target": "Three skiers are skiing on a snowy mountain."
+}
+```
+
+### [Data Fields](#data-fields)
+
+The data fields are the same among all splits.
+
+#### default
+- `concept_set_idx`: a `int32` feature.
+- `concepts`: a `list` of `string` features.
+- `target`: a `string` feature.
+
+### [Data Splits Sample Size](#data-splits-sample-size)
+
+| name  |train|validation|test|
+|-------|----:|---------:|---:|
+|default|67389|      4018|1497|
+
+## [Dataset Creation](#dataset-creation)
+
+### [Curation Rationale](#curation-rationale)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Source Data](#source-data)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Annotations](#annotations)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Personal and Sensitive Information](#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](#considerations-for-using-the-data)
+
+### [Social Impact of Dataset](#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](#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](#other-known-limitations)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## [Additional Information](#additional-information)
+
+### [Dataset Curators](#dataset-curators)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Licensing Information](#licensing-information)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Citation Information](#citation-information)
+
+```bib
+@inproceedings{lin-etal-2020-commongen,
+    title = "{C}ommon{G}en: A Constrained Text Generation Challenge for Generative Commonsense Reasoning",
+    author = "Lin, Bill Yuchen  and
+      Zhou, Wangchunshu  and
+      Shen, Ming  and
+      Zhou, Pei  and
+      Bhagavatula, Chandra  and
+      Choi, Yejin  and
+      Ren, Xiang",
+    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
+    month = nov,
+    year = "2020",
+    address = "Online",
+    publisher = "Association for Computational Linguistics",
+    url = "https://www.aclweb.org/anthology/2020.findings-emnlp.165",
+    doi = "10.18653/v1/2020.findings-emnlp.165",
+    pages = "1823--1840"
+}
+
+```
+
+
+### Contributions
+
+Thanks to [@JetRunner](https://github.com/JetRunner), [@yuchenlin](https://github.com/yuchenlin), [@thomwolf](https://github.com/thomwolf), [@lhoestq](https://github.com/lhoestq) for adding this dataset.

common_gen.py

@@ -10,12 +10,23 @@ import datasets
 random.seed(42)  # This is important, to ensure the same order for concept sets as the official script.
 
 _CITATION = """\
-@article{lin2019comgen,
-     author = {Bill Yuchen Lin and Ming Shen and Wangchunshu Zhou and Pei Zhou and Chandra Bhagavatula and Yejin Choi and Xiang Ren},
-     title = {CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning},
-     journal = {CoRR},
-     volume = {abs/1911.03705},
-     year = {2019}
+@inproceedings{lin-etal-2020-commongen,
+    title = "{C}ommon{G}en: A Constrained Text Generation Challenge for Generative Commonsense Reasoning",
+    author = "Lin, Bill Yuchen  and
+      Zhou, Wangchunshu  and
+      Shen, Ming  and
+      Zhou, Pei  and
+      Bhagavatula, Chandra  and
+      Choi, Yejin  and
+      Ren, Xiang",
+    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
+    month = nov,
+    year = "2020",
+    address = "Online",
+    publisher = "Association for Computational Linguistics",
+    url = "https://www.aclweb.org/anthology/2020.findings-emnlp.165",
+    doi = "10.18653/v1/2020.findings-emnlp.165",
+    pages = "1823--1840"
 }
 """
 

dataset_infos.json

@@ -1 +1 @@
-{"default": {"description": "CommonGen is a constrained text generation task, associated with a benchmark dataset, \nto explicitly test machines for the ability of generative commonsense reasoning. Given \na set of common concepts; the task is to generate a coherent sentence describing an \neveryday scenario using these concepts.\n\nCommonGen is challenging because it inherently requires 1) relational reasoning using \nbackground commonsense knowledge, and 2) compositional generalization ability to work \non unseen concept combinations. Our dataset, constructed through a combination of \ncrowd-sourcing from AMT and existing caption corpora, consists of 30k concept-sets and \n50k sentences in total.\n", "citation": "@article{lin2019comgen,\n     author = {Bill Yuchen Lin and Ming Shen and Wangchunshu Zhou and Pei Zhou and Chandra Bhagavatula and Yejin Choi and Xiang Ren},\n     title = {CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning},\n     journal = {CoRR},\n     volume = {abs/1911.03705},\n     year = {2019}\n}\n", "homepage": "https://inklab.usc.edu/CommonGen/index.html", "license": "", "features": {"concept_set_idx": {"dtype": "int32", "id": null, "_type": "Value"}, "concepts": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "target": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "concepts", "output": "target"}, "builder_name": "common_gen", "config_name": "default", "version": {"version_str": "2020.5.30", "description": null, "datasets_version_to_prepare": null, "major": 2020, "minor": 5, "patch": 30}, "splits": {"train": {"name": "train", "num_bytes": 6724250, "num_examples": 67389, "dataset_name": "common_gen"}, "validation": {"name": "validation", "num_bytes": 408752, "num_examples": 4018, "dataset_name": "common_gen"}, "test": {"name": "test", "num_bytes": 77530, "num_examples": 1497, "dataset_name": "common_gen"}}, "download_checksums": {"https://storage.googleapis.com/huggingface-nlp/datasets/common_gen/commongen_data.zip": {"num_bytes": 1845699, "checksum": "a3f19ca607da4e874fc5f2dd1f53c13a6788a497f883d74cc3f9a1fcda44c594"}}, "download_size": 1845699, "post_processing_size": null, "dataset_size": 7210532, "size_in_bytes": 9056231}}
+{"default": {"description": "CommonGen is a constrained text generation task, associated with a benchmark dataset, \nto explicitly test machines for the ability of generative commonsense reasoning. Given \na set of common concepts; the task is to generate a coherent sentence describing an \neveryday scenario using these concepts.\n\nCommonGen is challenging because it inherently requires 1) relational reasoning using \nbackground commonsense knowledge, and 2) compositional generalization ability to work \non unseen concept combinations. Our dataset, constructed through a combination of \ncrowd-sourcing from AMT and existing caption corpora, consists of 30k concept-sets and \n50k sentences in total.\n", "citation": "@inproceedings{lin-etal-2020-commongen,\n     author = {Bill Yuchen Lin and Wangchunshu Zhou and Ming Shen and Pei Zhou and Chandra Bhagavatula and Yejin Choi and Xiang Ren},\n     title = {{C}ommon{G}en: A Constrained Text Generation Challenge for Generative Commonsense Reasoning},\n     booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2020},\n  year = {2020}\n}\n", "homepage": "https://inklab.usc.edu/CommonGen/index.html", "license": "", "features": {"concept_set_idx": {"dtype": "int32", "id": null, "_type": "Value"}, "concepts": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "target": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "concepts", "output": "target"}, "builder_name": "common_gen", "config_name": "default", "version": {"version_str": "2020.5.30", "description": null, "datasets_version_to_prepare": null, "major": 2020, "minor": 5, "patch": 30}, "splits": {"train": {"name": "train", "num_bytes": 6724250, "num_examples": 67389, "dataset_name": "common_gen"}, "validation": {"name": "validation", "num_bytes": 408752, "num_examples": 4018, "dataset_name": "common_gen"}, "test": {"name": "test", "num_bytes": 77530, "num_examples": 1497, "dataset_name": "common_gen"}}, "download_checksums": {"https://storage.googleapis.com/huggingface-nlp/datasets/common_gen/commongen_data.zip": {"num_bytes": 1845699, "checksum": "a3f19ca607da4e874fc5f2dd1f53c13a6788a497f883d74cc3f9a1fcda44c594"}}, "download_size": 1845699, "post_processing_size": null, "dataset_size": 7210532, "size_in_bytes": 9056231}}