system HF staff commited on
Commit
e3ade7b
1 Parent(s): f2ccc99

Update files from the datasets library (from 1.4.0)

Browse files

Release notes: https://github.com/huggingface/datasets/releases/tag/1.4.0

README.md CHANGED
@@ -307,17 +307,17 @@ task_ids:
307
  - [Citation Information](#citation-information)
308
  - [Contributions](#contributions)
309
 
310
- ## [Dataset Description](#dataset-description)
311
 
312
  - **Homepage:** [https://gem-benchmark.github.io/](https://gem-benchmark.github.io/)
313
  - **Repository:**
314
- - **Paper:**
315
  - **Point of Contact:** [Sebastian Gehrman](gehrmann@google.com)
316
  - **Size of downloaded dataset files:** 2084.23 MB
317
  - **Size of the generated dataset:** 3734.73 MB
318
  - **Total amount of disk used:** 5818.96 MB
319
 
320
- ### [Dataset Summary](#dataset-summary)
321
 
322
  GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
323
  both through human annotations and automated Metrics.
@@ -369,19 +369,19 @@ The subsets are organized by task:
369
 
370
  Each example has one `target` per example in its training set, and a set of `references` (with one or more items) in its validation and test set.
371
 
372
- ### [Supported Tasks](#supported-tasks)
373
 
374
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
375
 
376
- ### [Languages](#languages)
377
 
378
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
379
 
380
- ## [Dataset Structure](#dataset-structure)
381
 
382
  We show detailed information for up to 5 configurations of the dataset.
383
 
384
- ### [Data Instances](#data-instances)
385
 
386
  #### common_gen
387
 
@@ -663,7 +663,7 @@ An example of `validation` looks as follows.
663
  'xsum_id': '10162122'}
664
  ```
665
 
666
- ### [Data Fields](#data-fields)
667
 
668
  The data fields are the same among all splits.
669
 
@@ -804,7 +804,7 @@ The data fields are the same among all splits.
804
  - `target`: a `string` feature.
805
  - `references`: a `list` of `string` features.
806
 
807
- ### [Data Splits Sample Size](#data-splits-sample-size)
808
 
809
  #### common_gen
810
 
@@ -902,59 +902,118 @@ The data fields are the same among all splits.
902
  |----|----:|---------:|---:|
903
  |xsum|23206| 1117|1166|
904
 
905
- ## [Dataset Creation](#dataset-creation)
906
 
907
- ### [Curation Rationale](#curation-rationale)
908
 
909
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
910
 
911
- ### [Source Data](#source-data)
912
 
913
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
914
 
915
- ### [Annotations](#annotations)
916
 
917
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
918
 
919
- ### [Personal and Sensitive Information](#personal-and-sensitive-information)
920
 
921
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
922
 
923
- ## [Considerations for Using the Data](#considerations-for-using-the-data)
924
 
925
- ### [Social Impact of Dataset](#social-impact-of-dataset)
926
 
927
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
928
 
929
- ### [Discussion of Biases](#discussion-of-biases)
930
 
931
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
932
 
933
- ### [Other Known Limitations](#other-known-limitations)
934
 
935
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
936
 
937
- ## [Additional Information](#additional-information)
938
 
939
- ### [Dataset Curators](#dataset-curators)
940
 
941
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
942
 
943
- ### [Licensing Information](#licensing-information)
944
 
945
  CC-BY-SA-4.0
946
 
947
- ### [Citation Information](#citation-information)
948
-
949
- ```
950
- @InProceedings{acl:gem,
951
- title = {The GEM Benchmark:Natural Language Generation, its Evaluation and Metrics},
952
- authors={Sebastian Gehrmann et al.},
953
- year={2021}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
954
  }
955
-
956
  ```
957
 
958
  ### Contributions
959
 
960
- Thanks to [@yjernite](https://github.com/yjernite) for adding this dataset.
307
  - [Citation Information](#citation-information)
308
  - [Contributions](#contributions)
309
 
310
+ ## Dataset Description
311
 
312
  - **Homepage:** [https://gem-benchmark.github.io/](https://gem-benchmark.github.io/)
313
  - **Repository:**
314
+ - **Paper:** [The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics](https://arxiv.org/abs/2102.01672)
315
  - **Point of Contact:** [Sebastian Gehrman](gehrmann@google.com)
316
  - **Size of downloaded dataset files:** 2084.23 MB
317
  - **Size of the generated dataset:** 3734.73 MB
318
  - **Total amount of disk used:** 5818.96 MB
319
 
320
+ ### Dataset Summary
321
 
322
  GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
323
  both through human annotations and automated Metrics.
369
 
370
  Each example has one `target` per example in its training set, and a set of `references` (with one or more items) in its validation and test set.
371
 
372
+ ### Supported Tasks
373
 
374
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
375
 
376
+ ### Languages
377
 
378
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
379
 
380
+ ## Dataset Structure
381
 
382
  We show detailed information for up to 5 configurations of the dataset.
383
 
384
+ ### Data Instances
385
 
386
  #### common_gen
387
 
663
  'xsum_id': '10162122'}
664
  ```
665
 
666
+ ### Data Fields
667
 
668
  The data fields are the same among all splits.
669
 
804
  - `target`: a `string` feature.
805
  - `references`: a `list` of `string` features.
806
 
807
+ ### Data Splits Sample Size
808
 
809
  #### common_gen
810
 
902
  |----|----:|---------:|---:|
903
  |xsum|23206| 1117|1166|
904
 
905
+ ## Dataset Creation
906
 
907
+ ### Curation Rationale
908
 
909
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
910
 
911
+ ### Source Data
912
 
913
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
914
 
915
+ ### Annotations
916
 
917
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
918
 
919
+ ### Personal and Sensitive Information
920
 
921
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
922
 
923
+ ## Considerations for Using the Data
924
 
925
+ ### Social Impact of Dataset
926
 
927
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
928
 
929
+ ### Discussion of Biases
930
 
931
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
932
 
933
+ ### Other Known Limitations
934
 
935
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
936
 
937
+ ## Additional Information
938
 
939
+ ### Dataset Curators
940
 
941
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
942
 
943
+ ### Licensing Information
944
 
945
  CC-BY-SA-4.0
946
 
947
+ ### Citation Information
948
+
949
+ ```
950
+ @article{gem_benchmark,
951
+ author = {Sebastian Gehrmann and
952
+ Tosin P. Adewumi and
953
+ Karmanya Aggarwal and
954
+ Pawan Sasanka Ammanamanchi and
955
+ Aremu Anuoluwapo and
956
+ Antoine Bosselut and
957
+ Khyathi Raghavi Chandu and
958
+ Miruna{-}Adriana Clinciu and
959
+ Dipanjan Das and
960
+ Kaustubh D. Dhole and
961
+ Wanyu Du and
962
+ Esin Durmus and
963
+ Ondrej Dusek and
964
+ Chris Emezue and
965
+ Varun Gangal and
966
+ Cristina Garbacea and
967
+ Tatsunori Hashimoto and
968
+ Yufang Hou and
969
+ Yacine Jernite and
970
+ Harsh Jhamtani and
971
+ Yangfeng Ji and
972
+ Shailza Jolly and
973
+ Dhruv Kumar and
974
+ Faisal Ladhak and
975
+ Aman Madaan and
976
+ Mounica Maddela and
977
+ Khyati Mahajan and
978
+ Saad Mahamood and
979
+ Bodhisattwa Prasad Majumder and
980
+ Pedro Henrique Martins and
981
+ Angelina McMillan{-}Major and
982
+ Simon Mille and
983
+ Emiel van Miltenburg and
984
+ Moin Nadeem and
985
+ Shashi Narayan and
986
+ Vitaly Nikolaev and
987
+ Rubungo Andre Niyongabo and
988
+ Salomey Osei and
989
+ Ankur P. Parikh and
990
+ Laura Perez{-}Beltrachini and
991
+ Niranjan Ramesh Rao and
992
+ Vikas Raunak and
993
+ Juan Diego Rodriguez and
994
+ Sashank Santhanam and
995
+ Jo{\~{a}}o Sedoc and
996
+ Thibault Sellam and
997
+ Samira Shaikh and
998
+ Anastasia Shimorina and
999
+ Marco Antonio Sobrevilla Cabezudo and
1000
+ Hendrik Strobelt and
1001
+ Nishant Subramani and
1002
+ Wei Xu and
1003
+ Diyi Yang and
1004
+ Akhila Yerukola and
1005
+ Jiawei Zhou},
1006
+ title = {The {GEM} Benchmark: Natural Language Generation, its Evaluation and
1007
+ Metrics},
1008
+ journal = {CoRR},
1009
+ volume = {abs/2102.01672},
1010
+ year = {2021},
1011
+ url = {https://arxiv.org/abs/2102.01672},
1012
+ archivePrefix = {arXiv},
1013
+ eprint = {2102.01672}
1014
  }
 
1015
  ```
1016
 
1017
  ### Contributions
1018
 
1019
+ Thanks to [@yjernite](https://github.com/yjernite) for adding this dataset.
dataset_infos.json CHANGED
@@ -1 +1 @@
1
- {"mlsum_de": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "topic": {"dtype": "string", "id": null, "_type": "Value"}, "url": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "date": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "mlsum_de", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 852755869, "num_examples": 220748, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 49392647, "num_examples": 11392, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 48909345, "num_examples": 10695, "dataset_name": "gem"}}, "download_checksums": {"https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/de_train.zip": {"num_bytes": 311059697, "checksum": "88e788437bae48af6b3d18a554af4b2794cc6143a137df3f56daa91a37e3ea7e"}, "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/de_val.zip": {"num_bytes": 17771216, "checksum": "732620c32e1d3f393ee3193f57f1217d8549499eb4906e144252aaab39aa910b"}, "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/de_test.zip": {"num_bytes": 17741147, "checksum": "447e3b1839ab94d5700cc2aedc0b52521404865b2589656acc90a654ed0de4ff"}, "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_mlsum_bad_ids.json": {"num_bytes": 789135, "checksum": "4d34d9712997fcf4ef8cdd7e396d69e529b8bdbecef9e9ff1f0000f9b222a299"}}, "download_size": 347361195, "post_processing_size": null, "dataset_size": 951057861, "size_in_bytes": 1298419056}, "mlsum_es": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "topic": {"dtype": "string", "id": null, "_type": "Value"}, "url": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "date": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "mlsum_es", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1193361133, "num_examples": 259886, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 50540104, "num_examples": 9977, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 70626686, "num_examples": 13365, "dataset_name": "gem"}}, "download_checksums": {"https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/es_train.zip": {"num_bytes": 466443036, "checksum": "a01f4b4b873aa6cdeae15952a22ede2146734d0b60e7297470a35956507c863a"}, "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/es_val.zip": {"num_bytes": 19483214, "checksum": "e38fce9950008ec4b48963692891c4c94d51a1e307286fb596e093aeb1230c92"}, "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/es_test.zip": {"num_bytes": 27386169, "checksum": "177cfcf358bc4aa9bce2753b8e9de4f6eb41d2c30b1a99ef29d64e70537a1c0d"}, "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_mlsum_bad_ids.json": {"num_bytes": 789135, "checksum": "4d34d9712997fcf4ef8cdd7e396d69e529b8bdbecef9e9ff1f0000f9b222a299"}}, "download_size": 514101554, "post_processing_size": null, "dataset_size": 1314527923, "size_in_bytes": 1828629477}, "wiki_lingua_es_en": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "source": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "wiki_lingua_es_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 212575461, "num_examples": 79515, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 25574054, "num_examples": 8835, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 49454121, "num_examples": 19797, "dataset_name": "gem"}}, "download_checksums": {"https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_wikilingua.zip": {"num_bytes": 169406387, "checksum": "be0f11b80c496874f8e395a1f5eb4474bbc1cb2ddf2bcf74928475b033020d03"}}, "download_size": 169406387, "post_processing_size": null, "dataset_size": 287603636, "size_in_bytes": 457010023}, "wiki_lingua_ru_en": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "source": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "wiki_lingua_ru_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 158203277, "num_examples": 36898, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 18480479, "num_examples": 4100, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 34529939, "num_examples": 9094, "dataset_name": "gem"}}, "download_checksums": {"https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_wikilingua.zip": {"num_bytes": 169406387, "checksum": "be0f11b80c496874f8e395a1f5eb4474bbc1cb2ddf2bcf74928475b033020d03"}}, "download_size": 169406387, "post_processing_size": null, "dataset_size": 211213695, "size_in_bytes": 380620082}, "wiki_lingua_tr_en": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "source": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "wiki_lingua_tr_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 7569617, "num_examples": 3193, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 929803, "num_examples": 355, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 1846128, "num_examples": 808, "dataset_name": "gem"}}, "download_checksums": {"https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_wikilingua.zip": {"num_bytes": 169406387, "checksum": "be0f11b80c496874f8e395a1f5eb4474bbc1cb2ddf2bcf74928475b033020d03"}}, "download_size": 169406387, "post_processing_size": null, "dataset_size": 10345548, "size_in_bytes": 179751935}, "wiki_lingua_vi_en": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "source": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "wiki_lingua_vi_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 31250858, "num_examples": 9206, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 3582938, "num_examples": 1023, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 6188286, "num_examples": 2167, "dataset_name": "gem"}}, "download_checksums": {"https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_wikilingua.zip": {"num_bytes": 169406387, "checksum": "be0f11b80c496874f8e395a1f5eb4474bbc1cb2ddf2bcf74928475b033020d03"}}, "download_size": 169406387, "post_processing_size": null, "dataset_size": 41022082, "size_in_bytes": 210428469}, "xsum": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "xsum_id": {"dtype": "string", "id": null, "_type": "Value"}, "document": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "xsum", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 65846114, "num_examples": 23206, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 2244604, "num_examples": 1117, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 2578627, "num_examples": 1166, "dataset_name": "gem"}}, "download_checksums": {"http://bollin.inf.ed.ac.uk/public/direct/XSUM-EMNLP18-Summary-Data-Original.tar.gz": {"num_bytes": 254582292, "checksum": "10b48aa187fc9c904b30f76ca97e2da0de8d3a1238acc26acadef93e2001af90"}, "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_xsum_confidence_0.8.json": {"num_bytes": 305905, "checksum": "a3c03b5367fd2c21a44f30ce3605f1f1cd9eb3a0383f0120a31e2225a13d72ed"}}, "download_size": 254888197, "post_processing_size": null, "dataset_size": 70669345, "size_in_bytes": 325557542}, "common_gen": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "concept_set_id": {"dtype": "int32", "id": null, "_type": "Value"}, "concepts": [{"dtype": "string", "id": null, "_type": "Value"}], "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "common_gen", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 8734894, "num_examples": 67389, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 377181, "num_examples": 993, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 118348, "num_examples": 1497, "dataset_name": "gem"}}, "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": 9230423, "size_in_bytes": 11076122}, "cs_restaurants": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "dialog_act": {"dtype": "string", "id": null, "_type": "Value"}, "dialog_act_delexicalized": {"dtype": "string", "id": null, "_type": "Value"}, "target_delexicalized": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "cs_restaurants", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 770750, "num_examples": 3569, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 262555, "num_examples": 781, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 273068, "num_examples": 842, "dataset_name": "gem"}}, "download_checksums": {"https://raw.githubusercontent.com/UFAL-DSG/cs_restaurant_dataset/master/train.json": {"num_bytes": 953853, "checksum": "4dc46649dd44d4fb0c32ac56211ba1c5409b366129102a62b28a3a67cec4a2e7"}, "https://raw.githubusercontent.com/UFAL-DSG/cs_restaurant_dataset/master/devel.json": {"num_bytes": 247118, "checksum": "433cbcf069fbf1254b2be33d0ec799c55b46d06cc1d84ae19db758301fbe3adf"}, "https://raw.githubusercontent.com/UFAL-DSG/cs_restaurant_dataset/master/test.json": {"num_bytes": 262048, "checksum": "0af728246699009f9d3702386c7a2b4db0318697ffb5333f088b393eb33d03a2"}}, "download_size": 1463019, "post_processing_size": null, "dataset_size": 1306373, "size_in_bytes": 2769392}, "dart": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "dart_id": {"dtype": "int32", "id": null, "_type": "Value"}, "tripleset": [[{"dtype": "string", "id": null, "_type": "Value"}]], "subtree_was_extended": {"dtype": "bool", "id": null, "_type": "Value"}, "target_sources": [{"dtype": "string", "id": null, "_type": "Value"}], "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "dart", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 21805512, "num_examples": 62659, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 1868728, "num_examples": 2768, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 3767444, "num_examples": 6959, "dataset_name": "gem"}}, "download_checksums": {"https://raw.githubusercontent.com/Yale-LILY/dart/master/data/v1.1.1/dart-v1.1.1-full-train.json": {"num_bytes": 22001131, "checksum": "0671b56f4b090ccf1c0187364d45c6f1214421d6f1081a21800596860f314e70"}, "https://raw.githubusercontent.com/Yale-LILY/dart/master/data/v1.1.1/dart-v1.1.1-full-dev.json": {"num_bytes": 2370637, "checksum": "5038f3543b6d59b94ac4e3f69d15a0b01d8578913f862142e7c560200dd6e434"}, "https://raw.githubusercontent.com/Yale-LILY/dart/master/data/v1.1.1/dart-v1.1.1-full-test.json": {"num_bytes": 5001020, "checksum": "c772553b482dd5fc7b8ad90d68889062a2603e28d4449ee1f162006819e0565e"}}, "download_size": 29372788, "post_processing_size": null, "dataset_size": 27441684, "size_in_bytes": 56814472}, "e2e_nlg": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "meaning_representation": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "e2e_nlg", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 8369049, "num_examples": 33525, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 1741130, "num_examples": 4299, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 2036248, "num_examples": 4693, "dataset_name": "gem"}}, "download_checksums": {"https://github.com/tuetschek/e2e-cleaning/raw/master/cleaned-data/train-fixed.no-ol.csv": {"num_bytes": 11100744, "checksum": "12a4f59ec85ddd2586244aaf166f65d1b8cd468b6227e6620108baf118d5b325"}, "https://github.com/tuetschek/e2e-cleaning/raw/master/cleaned-data/devel-fixed.no-ol.csv": {"num_bytes": 1581285, "checksum": "bb88df2565826a463f96e93a5ab69a8c6460de54f2e68179eb94f0019f430d4d"}, "https://github.com/tuetschek/e2e-cleaning/raw/master/cleaned-data/test-fixed.csv": {"num_bytes": 1915378, "checksum": "99b43c2769a09d62fc5d37dcffaa59d4092bcffdc611f226258681df61269b17"}}, "download_size": 14597407, "post_processing_size": null, "dataset_size": 12146427, "size_in_bytes": 26743834}, "totto": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "totto_id": {"dtype": "int32", "id": null, "_type": "Value"}, "table_page_title": {"dtype": "string", "id": null, "_type": "Value"}, "table_webpage_url": {"dtype": "string", "id": null, "_type": "Value"}, "table_section_title": {"dtype": "string", "id": null, "_type": "Value"}, "table_section_text": {"dtype": "string", "id": null, "_type": "Value"}, "table": [[{"column_span": {"dtype": "int32", "id": null, "_type": "Value"}, "is_header": {"dtype": "bool", "id": null, "_type": "Value"}, "row_span": {"dtype": "int32", "id": null, "_type": "Value"}, "value": {"dtype": "string", "id": null, "_type": "Value"}}]], "highlighted_cells": [[{"dtype": "int32", "id": null, "_type": "Value"}]], "example_id": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_annotations": [{"original_sentence": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_after_deletion": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_after_ambiguity": {"dtype": "string", "id": null, "_type": "Value"}, "final_sentence": {"dtype": "string", "id": null, "_type": "Value"}}], "overlap_subset": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "totto", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 667100769, "num_examples": 121153, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 50143072, "num_examples": 7700, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 40751580, "num_examples": 7700, "dataset_name": "gem"}}, "download_checksums": {"https://storage.googleapis.com/totto/totto_data.zip": {"num_bytes": 187724372, "checksum": "0aab72597057394514fd9659745fd2b318d1a64bf0b2ca1b2c339abe0692fdf2"}}, "download_size": 187724372, "post_processing_size": null, "dataset_size": 757995421, "size_in_bytes": 945719793}, "web_nlg_en": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "input": [{"dtype": "string", "id": null, "_type": "Value"}], "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}], "category": {"dtype": "string", "id": null, "_type": "Value"}, "webnlg_id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "web_nlg_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 12157633, "num_examples": 35426, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 1105091, "num_examples": 1667, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 1362011, "num_examples": 1779, "dataset_name": "gem"}}, "download_checksums": {"https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_web_nlg/webnlg_en_train.json": {"num_bytes": 10135450, "checksum": "959646a986465c436362dfc44bb4966d5a2d39f2725b39fe32701981daf666d0"}, "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_web_nlg/webnlg_en_val.json": {"num_bytes": 1273018, "checksum": "8214bf87ff0369e505ba5c11cdbbaa1127f7908ad77a75a2f1d1a76730c3a954"}, "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_web_nlg/webnlg_en_test.json": {"num_bytes": 1537460, "checksum": "68a4a919a9b805e17959a52f7d5c14a6083bba1459645b4189824fca468e362d"}}, "download_size": 12945928, "post_processing_size": null, "dataset_size": 14624735, "size_in_bytes": 27570663}, "web_nlg_ru": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "input": [{"dtype": "string", "id": null, "_type": "Value"}], "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}], "category": {"dtype": "string", "id": null, "_type": "Value"}, "webnlg_id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "web_nlg_ru", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 6518731, "num_examples": 14630, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 773194, "num_examples": 790, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 1119940, "num_examples": 1102, "dataset_name": "gem"}}, "download_checksums": {"https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_web_nlg/webnlg_ru_train.json": {"num_bytes": 5724246, "checksum": "bfaa20bd792a34fda25cff766fbabaf12c56c60b898865a2f976cfaad9c04d2e"}, "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_web_nlg/webnlg_ru_val.json": {"num_bytes": 783342, "checksum": "ac2e74d8618196ccf44be695dbdf4960e1f15dc9a39ebd754a808e793327aafd"}, "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_web_nlg/webnlg_ru_test.json": {"num_bytes": 1123674, "checksum": "24f4282eb6aa8dc424b6b676e1531a730b508e999b2c55d52215e72e4c7ec524"}}, "download_size": 7631262, "post_processing_size": null, "dataset_size": 8411865, "size_in_bytes": 16043127}, "wiki_auto_asset_turk": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "source_id": {"dtype": "string", "id": null, "_type": "Value"}, "target_id": {"dtype": "string", "id": null, "_type": "Value"}, "source": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "wiki_auto_asset_turk", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 121568050, "num_examples": 373801, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 30379300, "num_examples": 73249, "dataset_name": "gem"}, "test_asset": {"name": "test_asset", "num_bytes": 416007, "num_examples": 359, "dataset_name": "gem"}, "test_turk": {"name": "test_turk", "num_bytes": 405247, "num_examples": 359, "dataset_name": "gem"}}, "download_checksums": {"https://github.com/chaojiang06/wiki-auto/raw/master/wiki-manual/train.tsv": {"num_bytes": 106346588, "checksum": "82fa388de3ded6d303b95fcd11ba70e0b6158d2df1cbf24913bb54503bd32e95"}, "https://github.com/chaojiang06/wiki-auto/raw/master/wiki-manual/dev.tsv": {"num_bytes": 20232621, "checksum": "c56a9d2a739f9da83f90c54e266e1d60dd036cb80c463f118cb55613232e2e41"}, "https://github.com/facebookresearch/asset/raw/master/dataset/asset.test.simp.0": {"num_bytes": 35457, "checksum": "66f36029d0c732eb92886021faefe531c6cfd0a32bdbe7ae4aa97fd45bd1b046"}, "https://github.com/facebookresearch/asset/raw/master/dataset/asset.test.simp.1": {"num_bytes": 34096, "checksum": "d323ceb364abbe84c79b14b028aa1ff563cd94955fbab19049612548dbb0f83f"}, "https://github.com/facebookresearch/asset/raw/master/dataset/asset.test.simp.2": {"num_bytes": 34348, "checksum": "786b55f8425ce4a993e98be5e2bea9ef87bf536b96dc13f7a57c4733fdb63e06"}, "https://github.com/facebookresearch/asset/raw/master/dataset/asset.test.simp.3": {"num_bytes": 37292, "checksum": "e211c9e2ede1dfe315097132dbe4feda76b309bdc636a5394cb5d2664ba5bf52"}, "https://github.com/facebookresearch/asset/raw/master/dataset/asset.test.simp.4": {"num_bytes": 35887, "checksum": "37be9cf0592c0f68d87848dc9c442fe62f344518c1993896c00788bf943b755d"}, "https://github.com/facebookresearch/asset/raw/master/dataset/asset.test.simp.5": {"num_bytes": 35351, "checksum": "8485210573a3bd76116de8e978b227677c6c207111a4938729397c4e603dfa46"}, "https://github.com/facebookresearch/asset/raw/master/dataset/asset.test.simp.6": {"num_bytes": 35846, "checksum": "f0cb3ab823d23203ea044f81bd7e67cc823db0632095e43b78a54a9891a0b0a8"}, "https://github.com/facebookresearch/asset/raw/master/dataset/asset.test.simp.7": {"num_bytes": 34560, "checksum": "35cbb8b9964252a1470607634f19ad946c6bc2951b3e500eedd826baf12bd3c8"}, "https://github.com/facebookresearch/asset/raw/master/dataset/asset.test.simp.8": {"num_bytes": 35830, "checksum": "047b6419590b88f93b435d3177bba1883dc9c0dc178676e48470b408236446f4"}, "https://github.com/facebookresearch/asset/raw/master/dataset/asset.test.simp.9": {"num_bytes": 35313, "checksum": "3f5745e4f2743563b88ea4284ec35fa4ddb68d62de80b63ffb87751b998fe6b8"}, "https://raw.githubusercontent.com/cocoxu/simplification/master/data/turkcorpus/GEM/test.8turkers.tok.turk.0": {"num_bytes": 42071, "checksum": "1dd953869c842f35de4b97e521e30ce383319dd880d1e03b4471794d8d44c810"}, "https://raw.githubusercontent.com/cocoxu/simplification/master/data/turkcorpus/GEM/test.8turkers.tok.turk.1": {"num_bytes": 41998, "checksum": "e0c5151e5d7f8206f0084982cc41e79ea8c235e897b01b6847d368dac2c58eb3"}, "https://raw.githubusercontent.com/cocoxu/simplification/master/data/turkcorpus/GEM/test.8turkers.tok.turk.2": {"num_bytes": 42322, "checksum": "7b7abbc1a8aeca4cb629dff1b4f54fa6788e1275fc88d3bb8a1588270935b62d"}, "https://raw.githubusercontent.com/cocoxu/simplification/master/data/turkcorpus/GEM/test.8turkers.tok.turk.3": {"num_bytes": 41923, "checksum": "b2fc918a0d3a6dac0f22375758ff81579067860620429de6e4efaf3321f50b16"}, "https://raw.githubusercontent.com/cocoxu/simplification/master/data/turkcorpus/GEM/test.8turkers.tok.turk.4": {"num_bytes": 42165, "checksum": "a02359147dc651e71d27f09a1a941fb667f57d3b4e86241945d0a0eb9b969c42"}, "https://raw.githubusercontent.com/cocoxu/simplification/master/data/turkcorpus/GEM/test.8turkers.tok.turk.5": {"num_bytes": 42372, "checksum": "c376aceedd417c1b49eadc69987e05b51d04046a1628671e298dcb97827ff747"}, "https://raw.githubusercontent.com/cocoxu/simplification/master/data/turkcorpus/GEM/test.8turkers.tok.turk.6": {"num_bytes": 42441, "checksum": "5b0ff64f32ccc6818e7167c0a62a7b621052c58faec9a57a18195b870b0f5a73"}, "https://raw.githubusercontent.com/cocoxu/simplification/master/data/turkcorpus/GEM/test.8turkers.tok.turk.7": {"num_bytes": 42191, "checksum": "0f557e657c0dc37263b4a25dfa56778fed54e5306761c7279751e92768d09eef"}}, "download_size": 127270672, "post_processing_size": null, "dataset_size": 152768604, "size_in_bytes": 280039276}, "schema_guided_dialog": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "dialog_acts": [{"act": {"num_classes": 18, "names": ["AFFIRM", "AFFIRM_INTENT", "CONFIRM", "GOODBYE", "INFORM", "INFORM_COUNT", "INFORM_INTENT", "NEGATE", "NEGATE_INTENT", "NOTIFY_FAILURE", "NOTIFY_SUCCESS", "OFFER", "OFFER_INTENT", "REQUEST", "REQUEST_ALTS", "REQ_MORE", "SELECT", "THANK_YOU"], "names_file": null, "id": null, "_type": "ClassLabel"}, "slot": {"dtype": "string", "id": null, "_type": "Value"}, "values": [{"dtype": "string", "id": null, "_type": "Value"}]}], "dialog_id": {"dtype": "string", "id": null, "_type": "Value"}, "turn_id": {"dtype": "int32", "id": null, "_type": "Value"}, "prompt": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "schema_guided_dialog", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 39690792, "num_examples": 164982, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 3037236, "num_examples": 10000, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 3055370, "num_examples": 10000, "dataset_name": "gem"}}, "download_checksums": {"https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_sgd.json.zip": {"num_bytes": 8645279, "checksum": "043e6e1aa43c922d364643405afb7e96184271108d51a353c0bcef6b99bdd82b"}}, "download_size": 8645279, "post_processing_size": null, "dataset_size": 45783398, "size_in_bytes": 54428677}}
1
+ {"mlsum_de": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "topic": {"dtype": "string", "id": null, "_type": "Value"}, "url": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "date": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "mlsum_de", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 852652655, "num_examples": 220748, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 49393525, "num_examples": 11392, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 48911471, "num_examples": 10695, "dataset_name": "gem"}}, "download_checksums": {"https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/de_train.zip": {"num_bytes": 311059697, "checksum": "88e788437bae48af6b3d18a554af4b2794cc6143a137df3f56daa91a37e3ea7e"}, "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/de_val.zip": {"num_bytes": 17771216, "checksum": "732620c32e1d3f393ee3193f57f1217d8549499eb4906e144252aaab39aa910b"}, "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/de_test.zip": {"num_bytes": 17741147, "checksum": "447e3b1839ab94d5700cc2aedc0b52521404865b2589656acc90a654ed0de4ff"}, "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_mlsum_bad_ids_fixed.json": {"num_bytes": 784429, "checksum": "7d1b5c340329da32b3a6c1b880e9d72b5193eb0782bc03261e4eaee08c3d5b64"}}, "download_size": 347356489, "post_processing_size": null, "dataset_size": 950957651, "size_in_bytes": 1298314140}, "mlsum_es": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "topic": {"dtype": "string", "id": null, "_type": "Value"}, "url": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "date": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "mlsum_es", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1204854762, "num_examples": 259888, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 51333473, "num_examples": 9977, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 71821248, "num_examples": 13366, "dataset_name": "gem"}}, "download_checksums": {"https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/es_train.zip": {"num_bytes": 466443036, "checksum": "a01f4b4b873aa6cdeae15952a22ede2146734d0b60e7297470a35956507c863a"}, "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/es_val.zip": {"num_bytes": 19483214, "checksum": "e38fce9950008ec4b48963692891c4c94d51a1e307286fb596e093aeb1230c92"}, "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/es_test.zip": {"num_bytes": 27386169, "checksum": "177cfcf358bc4aa9bce2753b8e9de4f6eb41d2c30b1a99ef29d64e70537a1c0d"}, "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_mlsum_bad_ids_fixed.json": {"num_bytes": 784429, "checksum": "7d1b5c340329da32b3a6c1b880e9d72b5193eb0782bc03261e4eaee08c3d5b64"}}, "download_size": 514096848, "post_processing_size": null, "dataset_size": 1328009483, "size_in_bytes": 1842106331}, "wiki_lingua_es_en": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "source": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "wiki_lingua_es_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 212575461, "num_examples": 79515, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 25574054, "num_examples": 8835, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 49454121, "num_examples": 19797, "dataset_name": "gem"}}, "download_checksums": {"https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_wikilingua.zip": {"num_bytes": 169406387, "checksum": "be0f11b80c496874f8e395a1f5eb4474bbc1cb2ddf2bcf74928475b033020d03"}}, "download_size": 169406387, "post_processing_size": null, "dataset_size": 287603636, "size_in_bytes": 457010023}, "wiki_lingua_ru_en": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "source": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "wiki_lingua_ru_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 158203277, "num_examples": 36898, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 18480479, "num_examples": 4100, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 34529939, "num_examples": 9094, "dataset_name": "gem"}}, "download_checksums": {"https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_wikilingua.zip": {"num_bytes": 169406387, "checksum": "be0f11b80c496874f8e395a1f5eb4474bbc1cb2ddf2bcf74928475b033020d03"}}, "download_size": 169406387, "post_processing_size": null, "dataset_size": 211213695, "size_in_bytes": 380620082}, "wiki_lingua_tr_en": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "source": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "wiki_lingua_tr_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 7569617, "num_examples": 3193, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 929803, "num_examples": 355, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 1846128, "num_examples": 808, "dataset_name": "gem"}}, "download_checksums": {"https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_wikilingua.zip": {"num_bytes": 169406387, "checksum": "be0f11b80c496874f8e395a1f5eb4474bbc1cb2ddf2bcf74928475b033020d03"}}, "download_size": 169406387, "post_processing_size": null, "dataset_size": 10345548, "size_in_bytes": 179751935}, "wiki_lingua_vi_en": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "source": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "wiki_lingua_vi_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 31250858, "num_examples": 9206, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 3582938, "num_examples": 1023, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 6188286, "num_examples": 2167, "dataset_name": "gem"}}, "download_checksums": {"https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_wikilingua.zip": {"num_bytes": 169406387, "checksum": "be0f11b80c496874f8e395a1f5eb4474bbc1cb2ddf2bcf74928475b033020d03"}}, "download_size": 169406387, "post_processing_size": null, "dataset_size": 41022082, "size_in_bytes": 210428469}, "xsum": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "xsum_id": {"dtype": "string", "id": null, "_type": "Value"}, "document": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "xsum", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 65846114, "num_examples": 23206, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 2244604, "num_examples": 1117, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 2578627, "num_examples": 1166, "dataset_name": "gem"}}, "download_checksums": {"http://bollin.inf.ed.ac.uk/public/direct/XSUM-EMNLP18-Summary-Data-Original.tar.gz": {"num_bytes": 254582292, "checksum": "10b48aa187fc9c904b30f76ca97e2da0de8d3a1238acc26acadef93e2001af90"}, "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_xsum_confidence_0.8.json": {"num_bytes": 305905, "checksum": "a3c03b5367fd2c21a44f30ce3605f1f1cd9eb3a0383f0120a31e2225a13d72ed"}}, "download_size": 254888197, "post_processing_size": null, "dataset_size": 70669345, "size_in_bytes": 325557542}, "common_gen": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "concept_set_id": {"dtype": "int32", "id": null, "_type": "Value"}, "concepts": [{"dtype": "string", "id": null, "_type": "Value"}], "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "common_gen", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 8734894, "num_examples": 67389, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 377181, "num_examples": 993, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 118348, "num_examples": 1497, "dataset_name": "gem"}}, "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": 9230423, "size_in_bytes": 11076122}, "cs_restaurants": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "dialog_act": {"dtype": "string", "id": null, "_type": "Value"}, "dialog_act_delexicalized": {"dtype": "string", "id": null, "_type": "Value"}, "target_delexicalized": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "cs_restaurants", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 770750, "num_examples": 3569, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 262555, "num_examples": 781, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 273068, "num_examples": 842, "dataset_name": "gem"}}, "download_checksums": {"https://raw.githubusercontent.com/UFAL-DSG/cs_restaurant_dataset/master/train.json": {"num_bytes": 953853, "checksum": "4dc46649dd44d4fb0c32ac56211ba1c5409b366129102a62b28a3a67cec4a2e7"}, "https://raw.githubusercontent.com/UFAL-DSG/cs_restaurant_dataset/master/devel.json": {"num_bytes": 247118, "checksum": "433cbcf069fbf1254b2be33d0ec799c55b46d06cc1d84ae19db758301fbe3adf"}, "https://raw.githubusercontent.com/UFAL-DSG/cs_restaurant_dataset/master/test.json": {"num_bytes": 262048, "checksum": "0af728246699009f9d3702386c7a2b4db0318697ffb5333f088b393eb33d03a2"}}, "download_size": 1463019, "post_processing_size": null, "dataset_size": 1306373, "size_in_bytes": 2769392}, "dart": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "dart_id": {"dtype": "int32", "id": null, "_type": "Value"}, "tripleset": [[{"dtype": "string", "id": null, "_type": "Value"}]], "subtree_was_extended": {"dtype": "bool", "id": null, "_type": "Value"}, "target_sources": [{"dtype": "string", "id": null, "_type": "Value"}], "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "dart", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 21805512, "num_examples": 62659, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 1868728, "num_examples": 2768, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 3767444, "num_examples": 6959, "dataset_name": "gem"}}, "download_checksums": {"https://raw.githubusercontent.com/Yale-LILY/dart/master/data/v1.1.1/dart-v1.1.1-full-train.json": {"num_bytes": 22001131, "checksum": "0671b56f4b090ccf1c0187364d45c6f1214421d6f1081a21800596860f314e70"}, "https://raw.githubusercontent.com/Yale-LILY/dart/master/data/v1.1.1/dart-v1.1.1-full-dev.json": {"num_bytes": 2370637, "checksum": "5038f3543b6d59b94ac4e3f69d15a0b01d8578913f862142e7c560200dd6e434"}, "https://raw.githubusercontent.com/Yale-LILY/dart/master/data/v1.1.1/dart-v1.1.1-full-test.json": {"num_bytes": 5001020, "checksum": "c772553b482dd5fc7b8ad90d68889062a2603e28d4449ee1f162006819e0565e"}}, "download_size": 29372788, "post_processing_size": null, "dataset_size": 27441684, "size_in_bytes": 56814472}, "e2e_nlg": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "meaning_representation": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "e2e_nlg", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 8369049, "num_examples": 33525, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 1741130, "num_examples": 4299, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 2036248, "num_examples": 4693, "dataset_name": "gem"}}, "download_checksums": {"https://github.com/tuetschek/e2e-cleaning/raw/master/cleaned-data/train-fixed.no-ol.csv": {"num_bytes": 11100744, "checksum": "12a4f59ec85ddd2586244aaf166f65d1b8cd468b6227e6620108baf118d5b325"}, "https://github.com/tuetschek/e2e-cleaning/raw/master/cleaned-data/devel-fixed.no-ol.csv": {"num_bytes": 1581285, "checksum": "bb88df2565826a463f96e93a5ab69a8c6460de54f2e68179eb94f0019f430d4d"}, "https://github.com/tuetschek/e2e-cleaning/raw/master/cleaned-data/test-fixed.csv": {"num_bytes": 1915378, "checksum": "99b43c2769a09d62fc5d37dcffaa59d4092bcffdc611f226258681df61269b17"}}, "download_size": 14597407, "post_processing_size": null, "dataset_size": 12146427, "size_in_bytes": 26743834}, "totto": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "totto_id": {"dtype": "int32", "id": null, "_type": "Value"}, "table_page_title": {"dtype": "string", "id": null, "_type": "Value"}, "table_webpage_url": {"dtype": "string", "id": null, "_type": "Value"}, "table_section_title": {"dtype": "string", "id": null, "_type": "Value"}, "table_section_text": {"dtype": "string", "id": null, "_type": "Value"}, "table": [[{"column_span": {"dtype": "int32", "id": null, "_type": "Value"}, "is_header": {"dtype": "bool", "id": null, "_type": "Value"}, "row_span": {"dtype": "int32", "id": null, "_type": "Value"}, "value": {"dtype": "string", "id": null, "_type": "Value"}}]], "highlighted_cells": [[{"dtype": "int32", "id": null, "_type": "Value"}]], "example_id": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_annotations": [{"original_sentence": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_after_deletion": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_after_ambiguity": {"dtype": "string", "id": null, "_type": "Value"}, "final_sentence": {"dtype": "string", "id": null, "_type": "Value"}}], "overlap_subset": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "totto", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 667100769, "num_examples": 121153, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 50143072, "num_examples": 7700, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 40751580, "num_examples": 7700, "dataset_name": "gem"}}, "download_checksums": {"https://storage.googleapis.com/totto/totto_data.zip": {"num_bytes": 187724372, "checksum": "0aab72597057394514fd9659745fd2b318d1a64bf0b2ca1b2c339abe0692fdf2"}}, "download_size": 187724372, "post_processing_size": null, "dataset_size": 757995421, "size_in_bytes": 945719793}, "web_nlg_en": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "input": [{"dtype": "string", "id": null, "_type": "Value"}], "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}], "category": {"dtype": "string", "id": null, "_type": "Value"}, "webnlg_id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "web_nlg_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 12157633, "num_examples": 35426, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 1105091, "num_examples": 1667, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 1362011, "num_examples": 1779, "dataset_name": "gem"}}, "download_checksums": {"https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_web_nlg/webnlg_en_train.json": {"num_bytes": 10135450, "checksum": "959646a986465c436362dfc44bb4966d5a2d39f2725b39fe32701981daf666d0"}, "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_web_nlg/webnlg_en_val.json": {"num_bytes": 1273018, "checksum": "8214bf87ff0369e505ba5c11cdbbaa1127f7908ad77a75a2f1d1a76730c3a954"}, "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_web_nlg/webnlg_en_test.json": {"num_bytes": 1537460, "checksum": "68a4a919a9b805e17959a52f7d5c14a6083bba1459645b4189824fca468e362d"}}, "download_size": 12945928, "post_processing_size": null, "dataset_size": 14624735, "size_in_bytes": 27570663}, "web_nlg_ru": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "input": [{"dtype": "string", "id": null, "_type": "Value"}], "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}], "category": {"dtype": "string", "id": null, "_type": "Value"}, "webnlg_id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "web_nlg_ru", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 6518731, "num_examples": 14630, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 773194, "num_examples": 790, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 1119940, "num_examples": 1102, "dataset_name": "gem"}}, "download_checksums": {"https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_web_nlg/webnlg_ru_train.json": {"num_bytes": 5724246, "checksum": "bfaa20bd792a34fda25cff766fbabaf12c56c60b898865a2f976cfaad9c04d2e"}, "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_web_nlg/webnlg_ru_val.json": {"num_bytes": 783342, "checksum": "ac2e74d8618196ccf44be695dbdf4960e1f15dc9a39ebd754a808e793327aafd"}, "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_web_nlg/webnlg_ru_test.json": {"num_bytes": 1123674, "checksum": "24f4282eb6aa8dc424b6b676e1531a730b508e999b2c55d52215e72e4c7ec524"}}, "download_size": 7631262, "post_processing_size": null, "dataset_size": 8411865, "size_in_bytes": 16043127}, "wiki_auto_asset_turk": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "source_id": {"dtype": "string", "id": null, "_type": "Value"}, "target_id": {"dtype": "string", "id": null, "_type": "Value"}, "source": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "wiki_auto_asset_turk", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 121568050, "num_examples": 373801, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 30379300, "num_examples": 73249, "dataset_name": "gem"}, "test_asset": {"name": "test_asset", "num_bytes": 416007, "num_examples": 359, "dataset_name": "gem"}, "test_turk": {"name": "test_turk", "num_bytes": 405247, "num_examples": 359, "dataset_name": "gem"}}, "download_checksums": {"https://github.com/chaojiang06/wiki-auto/raw/master/wiki-manual/train.tsv": {"num_bytes": 106346588, "checksum": "82fa388de3ded6d303b95fcd11ba70e0b6158d2df1cbf24913bb54503bd32e95"}, "https://github.com/chaojiang06/wiki-auto/raw/master/wiki-manual/dev.tsv": {"num_bytes": 20232621, "checksum": "c56a9d2a739f9da83f90c54e266e1d60dd036cb80c463f118cb55613232e2e41"}, "https://github.com/facebookresearch/asset/raw/master/dataset/asset.test.simp.0": {"num_bytes": 35457, "checksum": "66f36029d0c732eb92886021faefe531c6cfd0a32bdbe7ae4aa97fd45bd1b046"}, "https://github.com/facebookresearch/asset/raw/master/dataset/asset.test.simp.1": {"num_bytes": 34096, "checksum": "d323ceb364abbe84c79b14b028aa1ff563cd94955fbab19049612548dbb0f83f"}, "https://github.com/facebookresearch/asset/raw/master/dataset/asset.test.simp.2": {"num_bytes": 34348, "checksum": "786b55f8425ce4a993e98be5e2bea9ef87bf536b96dc13f7a57c4733fdb63e06"}, "https://github.com/facebookresearch/asset/raw/master/dataset/asset.test.simp.3": {"num_bytes": 37292, "checksum": "e211c9e2ede1dfe315097132dbe4feda76b309bdc636a5394cb5d2664ba5bf52"}, "https://github.com/facebookresearch/asset/raw/master/dataset/asset.test.simp.4": {"num_bytes": 35887, "checksum": "37be9cf0592c0f68d87848dc9c442fe62f344518c1993896c00788bf943b755d"}, "https://github.com/facebookresearch/asset/raw/master/dataset/asset.test.simp.5": {"num_bytes": 35351, "checksum": "8485210573a3bd76116de8e978b227677c6c207111a4938729397c4e603dfa46"}, "https://github.com/facebookresearch/asset/raw/master/dataset/asset.test.simp.6": {"num_bytes": 35846, "checksum": "f0cb3ab823d23203ea044f81bd7e67cc823db0632095e43b78a54a9891a0b0a8"}, "https://github.com/facebookresearch/asset/raw/master/dataset/asset.test.simp.7": {"num_bytes": 34560, "checksum": "35cbb8b9964252a1470607634f19ad946c6bc2951b3e500eedd826baf12bd3c8"}, "https://github.com/facebookresearch/asset/raw/master/dataset/asset.test.simp.8": {"num_bytes": 35830, "checksum": "047b6419590b88f93b435d3177bba1883dc9c0dc178676e48470b408236446f4"}, "https://github.com/facebookresearch/asset/raw/master/dataset/asset.test.simp.9": {"num_bytes": 35313, "checksum": "3f5745e4f2743563b88ea4284ec35fa4ddb68d62de80b63ffb87751b998fe6b8"}, "https://raw.githubusercontent.com/cocoxu/simplification/master/data/turkcorpus/GEM/test.8turkers.tok.turk.0": {"num_bytes": 42071, "checksum": "1dd953869c842f35de4b97e521e30ce383319dd880d1e03b4471794d8d44c810"}, "https://raw.githubusercontent.com/cocoxu/simplification/master/data/turkcorpus/GEM/test.8turkers.tok.turk.1": {"num_bytes": 41998, "checksum": "e0c5151e5d7f8206f0084982cc41e79ea8c235e897b01b6847d368dac2c58eb3"}, "https://raw.githubusercontent.com/cocoxu/simplification/master/data/turkcorpus/GEM/test.8turkers.tok.turk.2": {"num_bytes": 42322, "checksum": "7b7abbc1a8aeca4cb629dff1b4f54fa6788e1275fc88d3bb8a1588270935b62d"}, "https://raw.githubusercontent.com/cocoxu/simplification/master/data/turkcorpus/GEM/test.8turkers.tok.turk.3": {"num_bytes": 41923, "checksum": "b2fc918a0d3a6dac0f22375758ff81579067860620429de6e4efaf3321f50b16"}, "https://raw.githubusercontent.com/cocoxu/simplification/master/data/turkcorpus/GEM/test.8turkers.tok.turk.4": {"num_bytes": 42165, "checksum": "a02359147dc651e71d27f09a1a941fb667f57d3b4e86241945d0a0eb9b969c42"}, "https://raw.githubusercontent.com/cocoxu/simplification/master/data/turkcorpus/GEM/test.8turkers.tok.turk.5": {"num_bytes": 42372, "checksum": "c376aceedd417c1b49eadc69987e05b51d04046a1628671e298dcb97827ff747"}, "https://raw.githubusercontent.com/cocoxu/simplification/master/data/turkcorpus/GEM/test.8turkers.tok.turk.6": {"num_bytes": 42441, "checksum": "5b0ff64f32ccc6818e7167c0a62a7b621052c58faec9a57a18195b870b0f5a73"}, "https://raw.githubusercontent.com/cocoxu/simplification/master/data/turkcorpus/GEM/test.8turkers.tok.turk.7": {"num_bytes": 42191, "checksum": "0f557e657c0dc37263b4a25dfa56778fed54e5306761c7279751e92768d09eef"}}, "download_size": 127270672, "post_processing_size": null, "dataset_size": 152768604, "size_in_bytes": 280039276}, "schema_guided_dialog": {"description": "GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,\nboth through human annotations and automated Metrics.\n\nGEM aims to:\n- measure NLG progress across 13 datasets spanning many NLG tasks and languages.\n- provide an in-depth analysis of data and models presented via data statements and challenge sets.\n- develop standards for evaluation of generated text using both automated and human metrics.\n\nIt is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development\nby extending existing data or developing datasets for additional languages.\n", "citation": "@InProceedings{huggingface:dataset,\ntitle = {A great new dataset},\nauthors={huggingface, Inc.\n},\nyear={2020}\n}\n", "homepage": "https://gem-benchmark.github.io/", "license": "CC-BY-SA-4.0", "features": {"gem_id": {"dtype": "string", "id": null, "_type": "Value"}, "dialog_acts": [{"act": {"num_classes": 18, "names": ["AFFIRM", "AFFIRM_INTENT", "CONFIRM", "GOODBYE", "INFORM", "INFORM_COUNT", "INFORM_INTENT", "NEGATE", "NEGATE_INTENT", "NOTIFY_FAILURE", "NOTIFY_SUCCESS", "OFFER", "OFFER_INTENT", "REQUEST", "REQUEST_ALTS", "REQ_MORE", "SELECT", "THANK_YOU"], "names_file": null, "id": null, "_type": "ClassLabel"}, "slot": {"dtype": "string", "id": null, "_type": "Value"}, "values": [{"dtype": "string", "id": null, "_type": "Value"}]}], "dialog_id": {"dtype": "string", "id": null, "_type": "Value"}, "turn_id": {"dtype": "int32", "id": null, "_type": "Value"}, "prompt": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"dtype": "string", "id": null, "_type": "Value"}, "references": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "builder_name": "gem", "config_name": "schema_guided_dialog", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 39690792, "num_examples": 164982, "dataset_name": "gem"}, "validation": {"name": "validation", "num_bytes": 3037236, "num_examples": 10000, "dataset_name": "gem"}, "test": {"name": "test", "num_bytes": 3055370, "num_examples": 10000, "dataset_name": "gem"}}, "download_checksums": {"https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_sgd.json.zip": {"num_bytes": 8645279, "checksum": "043e6e1aa43c922d364643405afb7e96184271108d51a353c0bcef6b99bdd82b"}}, "download_size": 8645279, "post_processing_size": null, "dataset_size": 45783398, "size_in_bytes": 54428677}}
dummy/mlsum_de/1.0.0/dummy_data.zip CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3f697a1e9790e5d549f666ccde174a53b9fd07c8ec133007b844b646431ee057
3
- size 17313
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:66edd328604c4aa3a9967d81537b438d22202f9830dbda85056fd561b3ae6d4b
3
+ size 17325
dummy/mlsum_es/1.0.0/dummy_data.zip CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c687ab8eae7138c11884087cf4dbb28b42b8eed9be16ca70b3b9e383eca86be3
3
- size 23054
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:587408dc43119abcf6d3000266a916233ac5ccabfb5f01e87da55539df303597
3
+ size 23066
gem.py CHANGED
@@ -95,13 +95,13 @@ _URLs = {
95
  "train": "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/de_train.zip",
96
  "validation": "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/de_val.zip",
97
  "test": "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/de_test.zip",
98
- "bad_ids": "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_mlsum_bad_ids.json",
99
  },
100
  "mlsum_es": {
101
  "train": "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/es_train.zip",
102
  "validation": "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/es_val.zip",
103
  "test": "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/es_test.zip",
104
- "bad_ids": "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_mlsum_bad_ids.json",
105
  },
106
  "schema_guided_dialog": {
107
  "data": "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_sgd.json.zip",
95
  "train": "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/de_train.zip",
96
  "validation": "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/de_val.zip",
97
  "test": "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/de_test.zip",
98
+ "bad_ids": "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_mlsum_bad_ids_fixed.json",
99
  },
100
  "mlsum_es": {
101
  "train": "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/es_train.zip",
102
  "validation": "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/es_val.zip",
103
  "test": "https://gitlab.lip6.fr/scialom/mlsum_data/-/raw/master/MLSUM/es_test.zip",
104
+ "bad_ids": "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_mlsum_bad_ids_fixed.json",
105
  },
106
  "schema_guided_dialog": {
107
  "data": "https://storage.googleapis.com/huggingface-nlp/datasets/gem/gem_sgd.json.zip",