Host data files

README.md

@@ -482,7 +482,7 @@ config_names:
 
 ### Dataset Summary
 
-We introduce WikiLingua, a large-scale, multilingual dataset for the evaluation of crosslingual abstractive summarization systems. We extract article and summary pairs in 18 languages from WikiHow, a high quality, collaborative resource of how-to guides on a diverse set of topics written by human authors. We create gold-standard article-summary alignments across languages by aligning the images that are used to describe each how-to step in an article.
+We introduce WikiLingua, a large-scale, multilingual dataset for the evaluation of cross-lingual abstractive summarization systems. We extract article and summary pairs in 18 languages from WikiHow, a high quality, collaborative resource of how-to guides on a diverse set of topics written by human authors. We create gold-standard article-summary alignments across languages by aligning the images that are used to describe each how-to step in an article.
 
 ### Supported Tasks and Leaderboards
 
@@ -631,12 +631,20 @@ ______________________________
 ### Citation Information
 
 ```bibtex
-@article{ladhak-wiki-2020,
-  title   = {WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization},
-  authors = {Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},
-  journal = {arXiv preprint arXiv:2010.03093},
-  year    = {2020},
-  url     = {https://arxiv.org/abs/2010.03093}
+@inproceedings{ladhak-etal-2020-wikilingua,
+    title = "{W}iki{L}ingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization",
+    author = "Ladhak, Faisal  and
+      Durmus, Esin  and
+      Cardie, Claire  and
+      McKeown, Kathleen",
+    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
+    month = nov,
+    year = "2020",
+    address = "Online",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2020.findings-emnlp.360",
+    doi = "10.18653/v1/2020.findings-emnlp.360",
+    pages = "4034--4048",
 }
 ```
 

data/arabic.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7c3d0c024d5e024392c7d51c70c2c7a2e3241ed52159c4d5591f1736d15b520d
+size 41403753

data/chinese.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:89a721b220f58ef77b7d570cab4b093b84aa24c77524f6d293f3112687c161a9
+size 19099290

data/czech.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:719327825ffc23bd6d7392e8a06db168e18069e35d0f150ba719eb438e1d6e9b
+size 8293848

data/dutch.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:241595c7cc4031f8fed3e76502e0bb1a9a9871d097b85ab8a83075ed4f5b4407
+size 29400461

data/english.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1cd5a804b1a64763e13c97fa1ad1d22d0263e55bcd71a42d31b340b0c8cb4d29
+size 115537674

data/french.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a687aad0b3fe602ae47bb071767a12c39280a8491781987c6f7333507f4ed14e
+size 65059668

data/german.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b8a9bdc538934041eac8a31cb331a4b35a2e5151b27f28959507105afbfda2a3
+size 58091919

data/hindi.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d70b966b130158943c201f0c7f572ed084514a76685521484c2960712377bf9c
+size 14567375

data/indonesian.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6584fe08ee0d2b996cee4b2476191b4eb8c2d58f374478364b1e1edccd85806d
+size 41852908

data/italian.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2ea94c8c2a1be3b4c67c1eabc3fe03d607570bd754d983cfa9434d5f3b53424e
+size 46917823

data/japanese.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:169a5a7fb0c4e166a2e125158bb9c6972c5a76c6d3abfe3f267068c5ef0debcd
+size 14416407

data/korean.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:28441564238c7f0830cee9486c4cbc028f3a646e91436556c28a56e6c34aae88
+size 14417542

data/portuguese.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:52ac0deeae96eef1a3f89805a3a944f61b1f80ad9b6c0f8511e9c3f54ec4e010
+size 71411075

data/russian.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5956df21ca5eaeb2f8cdb549ca51873a659aaecada100d94ae2b711a7d867b01
+size 79624829

data/spanish.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5431e36af351461d6acd9da6248943ab054d03f2c8277a151cbd9ae076781c30
+size 104218559

data/thai.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a8b3c99077a95df6caf10d72016c4570a1bd6914c76ae3d3c41fd3eedf87e75d
+size 19741058

data/turkish.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3a3d5eb7d9bb943fc5d6c1765d7740d88c2aae78aa5ad32b6b5f49e55020a350
+size 3877836

data/vietnamese.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6735c342ebc3cf347bbd8052c58a26fbf6d2f5154e8ab2acf4726276405f046c
+size 22117520

dataset_infos.json

@@ -1 +0,0 @@
-{"arabic": {"description": "WikiLingua is a large-scale multilingual dataset for the evaluation of\ncrosslingual abstractive summarization systems. The dataset includes ~770k\narticle and summary pairs in 18 languages from WikiHow. The gold-standard\narticle-summary alignments across languages was done by aligning the images\nthat are used to describe each how-to step in an article.\n", "citation": "@article{ladhak-wiki-2020,\n  title   = {WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization},\n  authors = {Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},\n  journal = {arXiv preprint arXiv:2010.03093},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2010.03093}\n}\n", "homepage": "https://github.com/esdurmus/Wikilingua", "license": "CC BY-NC-SA 3.0", "features": {"url": {"dtype": "string", "id": null, "_type": "Value"}, "article": {"feature": {"section_name": {"dtype": "string", "id": null, "_type": "Value"}, "document": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "english_url": {"dtype": "string", "id": null, "_type": "Value"}, "english_section_name": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wiki_lingua", "config_name": "arabic", "version": {"version_str": "1.1.1", "description": null, "major": 1, "minor": 1, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 119116119, "num_examples": 9995, "dataset_name": "wiki_lingua"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1__EjA6oZsgXQpggPm-h54jZu3kP6Y6zu": {"num_bytes": 119358890, "checksum": "25fc655eb53227acf5dbe4de09732dedee6cbd83b4c1e8c3bb018eada79555d1"}}, "download_size": 119358890, "post_processing_size": null, "dataset_size": 119116119, "size_in_bytes": 238475009}, "chinese": {"description": "WikiLingua is a large-scale multilingual dataset for the evaluation of\ncrosslingual abstractive summarization systems. The dataset includes ~770k\narticle and summary pairs in 18 languages from WikiHow. The gold-standard\narticle-summary alignments across languages was done by aligning the images\nthat are used to describe each how-to step in an article.\n", "citation": "@article{ladhak-wiki-2020,\n  title   = {WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization},\n  authors = {Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},\n  journal = {arXiv preprint arXiv:2010.03093},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2010.03093}\n}\n", "homepage": "https://github.com/esdurmus/Wikilingua", "license": "CC BY-NC-SA 3.0", "features": {"url": {"dtype": "string", "id": null, "_type": "Value"}, "article": {"feature": {"section_name": {"dtype": "string", "id": null, "_type": "Value"}, "document": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "english_url": {"dtype": "string", "id": null, "_type": "Value"}, "english_section_name": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wiki_lingua", "config_name": "chinese", "version": {"version_str": "1.1.1", "description": null, "major": 1, "minor": 1, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 41170689, "num_examples": 6541, "dataset_name": "wiki_lingua"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1TuWH7uwu6V90QWmZn25qhou1rm97Egmn": {"num_bytes": 41345464, "checksum": "be54a90ec9ac9baa2fb006c11363d44b9475c1fb8ac2aa84beeea1e065c58972"}}, "download_size": 41345464, "post_processing_size": null, "dataset_size": 41170689, "size_in_bytes": 82516153}, "czech": {"description": "WikiLingua is a large-scale multilingual dataset for the evaluation of\ncrosslingual abstractive summarization systems. The dataset includes ~770k\narticle and summary pairs in 18 languages from WikiHow. The gold-standard\narticle-summary alignments across languages was done by aligning the images\nthat are used to describe each how-to step in an article.\n", "citation": "@article{ladhak-wiki-2020,\n  title   = {WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization},\n  authors = {Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},\n  journal = {arXiv preprint arXiv:2010.03093},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2010.03093}\n}\n", "homepage": "https://github.com/esdurmus/Wikilingua", "license": "CC BY-NC-SA 3.0", "features": {"url": {"dtype": "string", "id": null, "_type": "Value"}, "article": {"feature": {"section_name": {"dtype": "string", "id": null, "_type": "Value"}, "document": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "english_url": {"dtype": "string", "id": null, "_type": "Value"}, "english_section_name": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wiki_lingua", "config_name": "czech", "version": {"version_str": "1.1.1", "description": null, "major": 1, "minor": 1, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 20816390, "num_examples": 2520, "dataset_name": "wiki_lingua"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1GcUN6mytEcOMBBOvjJOQzBmEkc-LdgQg": {"num_bytes": 20894511, "checksum": "bb3f9300b8631667d25b9e2b73c98ad90e0b5a3203bba21ed896f12b4a4e39a1"}}, "download_size": 20894511, "post_processing_size": null, "dataset_size": 20816390, "size_in_bytes": 41710901}, "dutch": {"description": "WikiLingua is a large-scale multilingual dataset for the evaluation of\ncrosslingual abstractive summarization systems. The dataset includes ~770k\narticle and summary pairs in 18 languages from WikiHow. The gold-standard\narticle-summary alignments across languages was done by aligning the images\nthat are used to describe each how-to step in an article.\n", "citation": "@article{ladhak-wiki-2020,\n  title   = {WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization},\n  authors = {Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},\n  journal = {arXiv preprint arXiv:2010.03093},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2010.03093}\n}\n", "homepage": "https://github.com/esdurmus/Wikilingua", "license": "CC BY-NC-SA 3.0", "features": {"url": {"dtype": "string", "id": null, "_type": "Value"}, "article": {"feature": {"section_name": {"dtype": "string", "id": null, "_type": "Value"}, "document": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "english_url": {"dtype": "string", "id": null, "_type": "Value"}, "english_section_name": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wiki_lingua", "config_name": "dutch", "version": {"version_str": "1.1.1", "description": null, "major": 1, "minor": 1, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 87258040, "num_examples": 10862, "dataset_name": "wiki_lingua"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1-w-0uqaC6hnRn1F_3XqJEvi09zlcTIhX": {"num_bytes": 87533442, "checksum": "1282abaa1f70e0d46db2f199a8e0bacd5c06a97220cf874854c41e12c072f10a"}}, "download_size": 87533442, "post_processing_size": null, "dataset_size": 87258040, "size_in_bytes": 174791482}, "english": {"description": "WikiLingua is a large-scale multilingual dataset for the evaluation of\ncrosslingual abstractive summarization systems. The dataset includes ~770k\narticle and summary pairs in 18 languages from WikiHow. The gold-standard\narticle-summary alignments across languages was done by aligning the images\nthat are used to describe each how-to step in an article.\n", "citation": "@article{ladhak-wiki-2020,\n  title   = {WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization},\n  authors = {Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},\n  journal = {arXiv preprint arXiv:2010.03093},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2010.03093}\n}\n", "homepage": "https://github.com/esdurmus/Wikilingua", "license": "CC BY-NC-SA 3.0", "features": {"url": {"dtype": "string", "id": null, "_type": "Value"}, "article": {"feature": {"section_name": {"dtype": "string", "id": null, "_type": "Value"}, "document": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wiki_lingua", "config_name": "english", "version": {"version_str": "1.1.1", "description": null, "major": 1, "minor": 1, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 333700114, "num_examples": 57945, "dataset_name": "wiki_lingua"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=11wMGqNVSwwk6zUnDaJEgm3qT71kAHeff": {"num_bytes": 338036185, "checksum": "1f0b51ac4b733e06a067826d9e137ee300d751f12f240e95be4b258f7bb5191d"}}, "download_size": 338036185, "post_processing_size": null, "dataset_size": 333700114, "size_in_bytes": 671736299}, "french": {"description": "WikiLingua is a large-scale multilingual dataset for the evaluation of\ncrosslingual abstractive summarization systems. The dataset includes ~770k\narticle and summary pairs in 18 languages from WikiHow. The gold-standard\narticle-summary alignments across languages was done by aligning the images\nthat are used to describe each how-to step in an article.\n", "citation": "@article{ladhak-wiki-2020,\n  title   = {WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization},\n  authors = {Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},\n  journal = {arXiv preprint arXiv:2010.03093},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2010.03093}\n}\n", "homepage": "https://github.com/esdurmus/Wikilingua", "license": "CC BY-NC-SA 3.0", "features": {"url": {"dtype": "string", "id": null, "_type": "Value"}, "article": {"feature": {"section_name": {"dtype": "string", "id": null, "_type": "Value"}, "document": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "english_url": {"dtype": "string", "id": null, "_type": "Value"}, "english_section_name": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wiki_lingua", "config_name": "french", "version": {"version_str": "1.1.1", "description": null, "major": 1, "minor": 1, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 197550376, "num_examples": 21690, "dataset_name": "wiki_lingua"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1Uit4Og1pk-br_0UJIO5sdhApyhTuHzqo": {"num_bytes": 198114157, "checksum": "e7e71d214142d06ddfd00411c2ceb3f1abee44eef9f6dbdd61ea5c5b30521230"}}, "download_size": 198114157, "post_processing_size": null, "dataset_size": 197550376, "size_in_bytes": 395664533}, "german": {"description": "WikiLingua is a large-scale multilingual dataset for the evaluation of\ncrosslingual abstractive summarization systems. The dataset includes ~770k\narticle and summary pairs in 18 languages from WikiHow. The gold-standard\narticle-summary alignments across languages was done by aligning the images\nthat are used to describe each how-to step in an article.\n", "citation": "@article{ladhak-wiki-2020,\n  title   = {WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization},\n  authors = {Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},\n  journal = {arXiv preprint arXiv:2010.03093},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2010.03093}\n}\n", "homepage": "https://github.com/esdurmus/Wikilingua", "license": "CC BY-NC-SA 3.0", "features": {"url": {"dtype": "string", "id": null, "_type": "Value"}, "article": {"feature": {"section_name": {"dtype": "string", "id": null, "_type": "Value"}, "document": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "english_url": {"dtype": "string", "id": null, "_type": "Value"}, "english_section_name": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wiki_lingua", "config_name": "german", "version": {"version_str": "1.1.1", "description": null, "major": 1, "minor": 1, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 168674340, "num_examples": 20103, "dataset_name": "wiki_lingua"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1meSNZHxd_0TZLKCRCYGN-Ke3IA5c1qOE": {"num_bytes": 169195050, "checksum": "88ee4628700c0e58b529a75e3f9f27022be3e7a591a8981f503b078a7116c4eb"}}, "download_size": 169195050, "post_processing_size": null, "dataset_size": 168674340, "size_in_bytes": 337869390}, "hindi": {"description": "WikiLingua is a large-scale multilingual dataset for the evaluation of\ncrosslingual abstractive summarization systems. The dataset includes ~770k\narticle and summary pairs in 18 languages from WikiHow. The gold-standard\narticle-summary alignments across languages was done by aligning the images\nthat are used to describe each how-to step in an article.\n", "citation": "@article{ladhak-wiki-2020,\n  title   = {WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization},\n  authors = {Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},\n  journal = {arXiv preprint arXiv:2010.03093},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2010.03093}\n}\n", "homepage": "https://github.com/esdurmus/Wikilingua", "license": "CC BY-NC-SA 3.0", "features": {"url": {"dtype": "string", "id": null, "_type": "Value"}, "article": {"feature": {"section_name": {"dtype": "string", "id": null, "_type": "Value"}, "document": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "english_url": {"dtype": "string", "id": null, "_type": "Value"}, "english_section_name": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wiki_lingua", "config_name": "hindi", "version": {"version_str": "1.1.1", "description": null, "major": 1, "minor": 1, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 63785051, "num_examples": 3402, "dataset_name": "wiki_lingua"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1ZyFGufe4puX3vjGPbp4xg9Hca3Gwq22g": {"num_bytes": 63874759, "checksum": "a6a9b0cb313ecad82985269153e03e4c02376f0e52e53168100eacafc1c55037"}}, "download_size": 63874759, "post_processing_size": null, "dataset_size": 63785051, "size_in_bytes": 127659810}, "indonesian": {"description": "WikiLingua is a large-scale multilingual dataset for the evaluation of\ncrosslingual abstractive summarization systems. The dataset includes ~770k\narticle and summary pairs in 18 languages from WikiHow. The gold-standard\narticle-summary alignments across languages was done by aligning the images\nthat are used to describe each how-to step in an article.\n", "citation": "@article{ladhak-wiki-2020,\n  title   = {WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization},\n  authors = {Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},\n  journal = {arXiv preprint arXiv:2010.03093},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2010.03093}\n}\n", "homepage": "https://github.com/esdurmus/Wikilingua", "license": "CC BY-NC-SA 3.0", "features": {"url": {"dtype": "string", "id": null, "_type": "Value"}, "article": {"feature": {"section_name": {"dtype": "string", "id": null, "_type": "Value"}, "document": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "english_url": {"dtype": "string", "id": null, "_type": "Value"}, "english_section_name": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wiki_lingua", "config_name": "indonesian", "version": {"version_str": "1.1.1", "description": null, "major": 1, "minor": 1, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 136408861, "num_examples": 16308, "dataset_name": "wiki_lingua"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1PGa8j1_IqxiGTc3SU6NMB38sAzxCPS34": {"num_bytes": 136833587, "checksum": "cfa0b6eeb590e0db212b616d455fa00ed376186638c7c4b2771986fb4bd4b7e6"}}, "download_size": 136833587, "post_processing_size": null, "dataset_size": 136408861, "size_in_bytes": 273242448}, "italian": {"description": "WikiLingua is a large-scale multilingual dataset for the evaluation of\ncrosslingual abstractive summarization systems. The dataset includes ~770k\narticle and summary pairs in 18 languages from WikiHow. The gold-standard\narticle-summary alignments across languages was done by aligning the images\nthat are used to describe each how-to step in an article.\n", "citation": "@article{ladhak-wiki-2020,\n  title   = {WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization},\n  authors = {Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},\n  journal = {arXiv preprint arXiv:2010.03093},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2010.03093}\n}\n", "homepage": "https://github.com/esdurmus/Wikilingua", "license": "CC BY-NC-SA 3.0", "features": {"url": {"dtype": "string", "id": null, "_type": "Value"}, "article": {"feature": {"section_name": {"dtype": "string", "id": null, "_type": "Value"}, "document": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "english_url": {"dtype": "string", "id": null, "_type": "Value"}, "english_section_name": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wiki_lingua", "config_name": "italian", "version": {"version_str": "1.1.1", "description": null, "major": 1, "minor": 1, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 138119527, "num_examples": 17673, "dataset_name": "wiki_lingua"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1okwGJiOZmTpNRNgJLCnjFF4Q0H1z4l6_": {"num_bytes": 138578956, "checksum": "f6960f3d025f65452d3a536065925e86c425f7f559f574ed078172aa30d6a6ae"}}, "download_size": 138578956, "post_processing_size": null, "dataset_size": 138119527, "size_in_bytes": 276698483}, "japanese": {"description": "WikiLingua is a large-scale multilingual dataset for the evaluation of\ncrosslingual abstractive summarization systems. The dataset includes ~770k\narticle and summary pairs in 18 languages from WikiHow. The gold-standard\narticle-summary alignments across languages was done by aligning the images\nthat are used to describe each how-to step in an article.\n", "citation": "@article{ladhak-wiki-2020,\n  title   = {WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization},\n  authors = {Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},\n  journal = {arXiv preprint arXiv:2010.03093},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2010.03093}\n}\n", "homepage": "https://github.com/esdurmus/Wikilingua", "license": "CC BY-NC-SA 3.0", "features": {"url": {"dtype": "string", "id": null, "_type": "Value"}, "article": {"feature": {"section_name": {"dtype": "string", "id": null, "_type": "Value"}, "document": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "english_url": {"dtype": "string", "id": null, "_type": "Value"}, "english_section_name": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wiki_lingua", "config_name": "japanese", "version": {"version_str": "1.1.1", "description": null, "major": 1, "minor": 1, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 40145031, "num_examples": 4372, "dataset_name": "wiki_lingua"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1Z2ty5hU0tIGRZRDlFQZLO7b5vijRfvo0": {"num_bytes": 40259570, "checksum": "dc080f6db644261e31b0d9564eec0c07f87e939cd4af535ad239ee8813c92a33"}}, "download_size": 40259570, "post_processing_size": null, "dataset_size": 40145031, "size_in_bytes": 80404601}, "korean": {"description": "WikiLingua is a large-scale multilingual dataset for the evaluation of\ncrosslingual abstractive summarization systems. The dataset includes ~770k\narticle and summary pairs in 18 languages from WikiHow. The gold-standard\narticle-summary alignments across languages was done by aligning the images\nthat are used to describe each how-to step in an article.\n", "citation": "@article{ladhak-wiki-2020,\n  title   = {WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization},\n  authors = {Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},\n  journal = {arXiv preprint arXiv:2010.03093},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2010.03093}\n}\n", "homepage": "https://github.com/esdurmus/Wikilingua", "license": "CC BY-NC-SA 3.0", "features": {"url": {"dtype": "string", "id": null, "_type": "Value"}, "article": {"feature": {"section_name": {"dtype": "string", "id": null, "_type": "Value"}, "document": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "english_url": {"dtype": "string", "id": null, "_type": "Value"}, "english_section_name": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wiki_lingua", "config_name": "korean", "version": {"version_str": "1.1.1", "description": null, "major": 1, "minor": 1, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 38647614, "num_examples": 4111, "dataset_name": "wiki_lingua"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1cqu_YAgvlyVSzzjcUyP1Cz7q0k8Pw7vN": {"num_bytes": 38748961, "checksum": "b6f97c124033c99034696034a19b4e32d0573281281fe2655f7d70032dc65d01"}}, "download_size": 38748961, "post_processing_size": null, "dataset_size": 38647614, "size_in_bytes": 77396575}, "portuguese": {"description": "WikiLingua is a large-scale multilingual dataset for the evaluation of\ncrosslingual abstractive summarization systems. The dataset includes ~770k\narticle and summary pairs in 18 languages from WikiHow. The gold-standard\narticle-summary alignments across languages was done by aligning the images\nthat are used to describe each how-to step in an article.\n", "citation": "@article{ladhak-wiki-2020,\n  title   = {WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization},\n  authors = {Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},\n  journal = {arXiv preprint arXiv:2010.03093},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2010.03093}\n}\n", "homepage": "https://github.com/esdurmus/Wikilingua", "license": "CC BY-NC-SA 3.0", "features": {"url": {"dtype": "string", "id": null, "_type": "Value"}, "article": {"feature": {"section_name": {"dtype": "string", "id": null, "_type": "Value"}, "document": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "english_url": {"dtype": "string", "id": null, "_type": "Value"}, "english_section_name": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wiki_lingua", "config_name": "portuguese", "version": {"version_str": "1.1.1", "description": null, "major": 1, "minor": 1, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 204270845, "num_examples": 28143, "dataset_name": "wiki_lingua"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1GTHUJxxmjLmG2lnF9dwRgIDRFZaOY3-F": {"num_bytes": 204997686, "checksum": "c5f912b3b00e11f02a9ddd2b879b605f3fd2354eb0b5f8acac13e01e49ea1e59"}}, "download_size": 204997686, "post_processing_size": null, "dataset_size": 204270845, "size_in_bytes": 409268531}, "russian": {"description": "WikiLingua is a large-scale multilingual dataset for the evaluation of\ncrosslingual abstractive summarization systems. The dataset includes ~770k\narticle and summary pairs in 18 languages from WikiHow. The gold-standard\narticle-summary alignments across languages was done by aligning the images\nthat are used to describe each how-to step in an article.\n", "citation": "@article{ladhak-wiki-2020,\n  title   = {WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization},\n  authors = {Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},\n  journal = {arXiv preprint arXiv:2010.03093},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2010.03093}\n}\n", "homepage": "https://github.com/esdurmus/Wikilingua", "license": "CC BY-NC-SA 3.0", "features": {"url": {"dtype": "string", "id": null, "_type": "Value"}, "article": {"feature": {"section_name": {"dtype": "string", "id": null, "_type": "Value"}, "document": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "english_url": {"dtype": "string", "id": null, "_type": "Value"}, "english_section_name": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wiki_lingua", "config_name": "russian", "version": {"version_str": "1.1.1", "description": null, "major": 1, "minor": 1, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 241924032, "num_examples": 18143, "dataset_name": "wiki_lingua"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1fUR3MqJ8jTMka6owA0S-Fe6aHmiophc_": {"num_bytes": 242377242, "checksum": "246647637d6de8bb84e26f68546c5a5ba04e196d1769716975e52447d43e4d71"}}, "download_size": 242377242, "post_processing_size": null, "dataset_size": 241924032, "size_in_bytes": 484301274}, "spanish": {"description": "WikiLingua is a large-scale multilingual dataset for the evaluation of\ncrosslingual abstractive summarization systems. The dataset includes ~770k\narticle and summary pairs in 18 languages from WikiHow. The gold-standard\narticle-summary alignments across languages was done by aligning the images\nthat are used to describe each how-to step in an article.\n", "citation": "@article{ladhak-wiki-2020,\n  title   = {WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization},\n  authors = {Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},\n  journal = {arXiv preprint arXiv:2010.03093},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2010.03093}\n}\n", "homepage": "https://github.com/esdurmus/Wikilingua", "license": "CC BY-NC-SA 3.0", "features": {"url": {"dtype": "string", "id": null, "_type": "Value"}, "article": {"feature": {"section_name": {"dtype": "string", "id": null, "_type": "Value"}, "document": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "english_url": {"dtype": "string", "id": null, "_type": "Value"}, "english_section_name": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wiki_lingua", "config_name": "spanish", "version": {"version_str": "1.1.1", "description": null, "major": 1, "minor": 1, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 314618618, "num_examples": 38795, "dataset_name": "wiki_lingua"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1KtMDsoYNukGP89PLujQTGVgt37cOARs5": {"num_bytes": 315609530, "checksum": "b6c42c313d28199c88a0696d920c08ab951820e84f6ebe9137dd7e74b6907912"}}, "download_size": 315609530, "post_processing_size": null, "dataset_size": 314618618, "size_in_bytes": 630228148}, "thai": {"description": "WikiLingua is a large-scale multilingual dataset for the evaluation of\ncrosslingual abstractive summarization systems. The dataset includes ~770k\narticle and summary pairs in 18 languages from WikiHow. The gold-standard\narticle-summary alignments across languages was done by aligning the images\nthat are used to describe each how-to step in an article.\n", "citation": "@article{ladhak-wiki-2020,\n  title   = {WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization},\n  authors = {Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},\n  journal = {arXiv preprint arXiv:2010.03093},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2010.03093}\n}\n", "homepage": "https://github.com/esdurmus/Wikilingua", "license": "CC BY-NC-SA 3.0", "features": {"url": {"dtype": "string", "id": null, "_type": "Value"}, "article": {"feature": {"section_name": {"dtype": "string", "id": null, "_type": "Value"}, "document": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "english_url": {"dtype": "string", "id": null, "_type": "Value"}, "english_section_name": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wiki_lingua", "config_name": "thai", "version": {"version_str": "1.1.1", "description": null, "major": 1, "minor": 1, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 86982851, "num_examples": 5093, "dataset_name": "wiki_lingua"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1QsV8C5EPJrQl37mwva_5-IJOrCaOi2tH": {"num_bytes": 87104200, "checksum": "464a35114cb35792f0a875ebf653c60be8b83e6eb5baa458dce2629c3b798161"}}, "download_size": 87104200, "post_processing_size": null, "dataset_size": 86982851, "size_in_bytes": 174087051}, "turkish": {"description": "WikiLingua is a large-scale multilingual dataset for the evaluation of\ncrosslingual abstractive summarization systems. The dataset includes ~770k\narticle and summary pairs in 18 languages from WikiHow. The gold-standard\narticle-summary alignments across languages was done by aligning the images\nthat are used to describe each how-to step in an article.\n", "citation": "@article{ladhak-wiki-2020,\n  title   = {WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization},\n  authors = {Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},\n  journal = {arXiv preprint arXiv:2010.03093},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2010.03093}\n}\n", "homepage": "https://github.com/esdurmus/Wikilingua", "license": "CC BY-NC-SA 3.0", "features": {"url": {"dtype": "string", "id": null, "_type": "Value"}, "article": {"feature": {"section_name": {"dtype": "string", "id": null, "_type": "Value"}, "document": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "english_url": {"dtype": "string", "id": null, "_type": "Value"}, "english_section_name": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wiki_lingua", "config_name": "turkish", "version": {"version_str": "1.1.1", "description": null, "major": 1, "minor": 1, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 11371821, "num_examples": 1512, "dataset_name": "wiki_lingua"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1M1M5yIOyjKWGprc3LUeVVwxgKXxgpqxm": {"num_bytes": 11405793, "checksum": "858406c011fc2c1ef0c8bf3acb77edcf1d05c5189e61be54e1655d6e8a98076d"}}, "download_size": 11405793, "post_processing_size": null, "dataset_size": 11371821, "size_in_bytes": 22777614}, "vietnamese": {"description": "WikiLingua is a large-scale multilingual dataset for the evaluation of\ncrosslingual abstractive summarization systems. The dataset includes ~770k\narticle and summary pairs in 18 languages from WikiHow. The gold-standard\narticle-summary alignments across languages was done by aligning the images\nthat are used to describe each how-to step in an article.\n", "citation": "@article{ladhak-wiki-2020,\n  title   = {WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization},\n  authors = {Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},\n  journal = {arXiv preprint arXiv:2010.03093},\n  year    = {2020},\n  url     = {https://arxiv.org/abs/2010.03093}\n}\n", "homepage": "https://github.com/esdurmus/Wikilingua", "license": "CC BY-NC-SA 3.0", "features": {"url": {"dtype": "string", "id": null, "_type": "Value"}, "article": {"feature": {"section_name": {"dtype": "string", "id": null, "_type": "Value"}, "document": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "english_url": {"dtype": "string", "id": null, "_type": "Value"}, "english_section_name": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wiki_lingua", "config_name": "vietnamese", "version": {"version_str": "1.1.1", "description": null, "major": 1, "minor": 1, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 69868788, "num_examples": 6616, "dataset_name": "wiki_lingua"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=17FGi8KI9N9SuGe7elM8qU8_3fx4sfgTr": {"num_bytes": 70024093, "checksum": "590e51dbef3cd17ef271088778289596d1363d72708e7f7d625d28a837e395a5"}}, "download_size": 70024093, "post_processing_size": null, "dataset_size": 69868788, "size_in_bytes": 139892881}}

wiki_lingua.py

@@ -12,28 +12,36 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""TODO: Add a description here."""
+"""WikiLingua."""
 
 
-import pickle
+import json
 
 import datasets
 
 
 # Find for instance the citation on arxiv or on the dataset repo/website
 _CITATION = """\
-@article{ladhak-wiki-2020,
-  title   = {WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization},
-  authors = {Faisal Ladhak, Esin Durmus, Claire Cardie and Kathleen McKeown},
-  journal = {arXiv preprint arXiv:2010.03093},
-  year    = {2020},
-  url     = {https://arxiv.org/abs/2010.03093}
+@inproceedings{ladhak-etal-2020-wikilingua,
+    title = "{W}iki{L}ingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization",
+    author = "Ladhak, Faisal  and
+      Durmus, Esin  and
+      Cardie, Claire  and
+      McKeown, Kathleen",
+    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
+    month = nov,
+    year = "2020",
+    address = "Online",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2020.findings-emnlp.360",
+    doi = "10.18653/v1/2020.findings-emnlp.360",
+    pages = "4034--4048",
 }
 """
 
 _DESCRIPTION = """\
 WikiLingua is a large-scale multilingual dataset for the evaluation of
-crosslingual abstractive summarization systems. The dataset includes ~770k
+cross-lingual abstractive summarization systems. The dataset includes ~770k
 article and summary pairs in 18 languages from WikiHow. The gold-standard
 article-summary alignments across languages was done by aligning the images
 that are used to describe each how-to step in an article.
@@ -43,72 +51,42 @@ _HOMEPAGE = "https://github.com/esdurmus/Wikilingua"
 
 _LICENSE = "CC BY-NC-SA 3.0"
 
-# Download links
-_URLs = {
-    "arabic": "https://drive.google.com/uc?export=download&id=1__EjA6oZsgXQpggPm-h54jZu3kP6Y6zu",
-    "chinese": "https://drive.google.com/uc?export=download&id=1TuWH7uwu6V90QWmZn25qhou1rm97Egmn",
-    "czech": "https://drive.google.com/uc?export=download&id=1GcUN6mytEcOMBBOvjJOQzBmEkc-LdgQg",
-    "dutch": "https://drive.google.com/uc?export=download&id=1-w-0uqaC6hnRn1F_3XqJEvi09zlcTIhX",
-    "english": "https://drive.google.com/uc?export=download&id=11wMGqNVSwwk6zUnDaJEgm3qT71kAHeff",
-    "french": "https://drive.google.com/uc?export=download&id=1Uit4Og1pk-br_0UJIO5sdhApyhTuHzqo",
-    "german": "https://drive.google.com/uc?export=download&id=1meSNZHxd_0TZLKCRCYGN-Ke3IA5c1qOE",
-    "hindi": "https://drive.google.com/uc?export=download&id=1ZyFGufe4puX3vjGPbp4xg9Hca3Gwq22g",
-    "indonesian": "https://drive.google.com/uc?export=download&id=1PGa8j1_IqxiGTc3SU6NMB38sAzxCPS34",
-    "italian": "https://drive.google.com/uc?export=download&id=1okwGJiOZmTpNRNgJLCnjFF4Q0H1z4l6_",
-    "japanese": "https://drive.google.com/uc?export=download&id=1Z2ty5hU0tIGRZRDlFQZLO7b5vijRfvo0",
-    "korean": "https://drive.google.com/uc?export=download&id=1cqu_YAgvlyVSzzjcUyP1Cz7q0k8Pw7vN",
-    "portuguese": "https://drive.google.com/uc?export=download&id=1GTHUJxxmjLmG2lnF9dwRgIDRFZaOY3-F",
-    "russian": "https://drive.google.com/uc?export=download&id=1fUR3MqJ8jTMka6owA0S-Fe6aHmiophc_",
-    "spanish": "https://drive.google.com/uc?export=download&id=1KtMDsoYNukGP89PLujQTGVgt37cOARs5",
-    "thai": "https://drive.google.com/uc?export=download&id=1QsV8C5EPJrQl37mwva_5-IJOrCaOi2tH",
-    "turkish": "https://drive.google.com/uc?export=download&id=1M1M5yIOyjKWGprc3LUeVVwxgKXxgpqxm",
-    "vietnamese": "https://drive.google.com/uc?export=download&id=17FGi8KI9N9SuGe7elM8qU8_3fx4sfgTr",
-}
+# Download link
+_URL = "data/{language}.jsonl.gz"
+_LANGUAGES = [
+    "arabic",
+    "chinese",
+    "czech",
+    "dutch",
+    "english",
+    "french",
+    "german",
+    "hindi",
+    "indonesian",
+    "italian",
+    "japanese",
+    "korean",
+    "portuguese",
+    "russian",
+    "spanish",
+    "thai",
+    "turkish",
+    "vietnamese",
+]
 
 
 class WikiLingua(datasets.GeneratorBasedBuilder):
-    """TODO: Short description of my dataset."""
+    """WikiLingua dataset."""
 
     VERSION = datasets.Version("1.1.1")
 
-    # This is an example of a dataset with multiple configurations.
-    # If you don't want/need to define several sub-sets in your dataset,
-    # just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.
-
-    # If you need to make complex sub-parts in the datasets with configurable options
-    # You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
-    # BUILDER_CONFIG_CLASS = MyBuilderConfig
-
-    # You will  be able to load one or the other configurations in the following list with
-    # data = datasets.load_dataset('my_dataset', 'first_domain')
-    # data = datasets.load_dataset('my_dataset', 'second_domain')
     BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="arabic", version=VERSION, description="A subset of article-summary in Arabic"),
-        datasets.BuilderConfig(name="chinese", version=VERSION, description="A subset of article-summary in Chinese"),
-        datasets.BuilderConfig(name="czech", version=VERSION, description="A subset of article-summary in Czech"),
-        datasets.BuilderConfig(name="dutch", version=VERSION, description="A subset of article-summary in Dutch"),
-        datasets.BuilderConfig(name="english", version=VERSION, description="A subset of article-summary in English"),
-        datasets.BuilderConfig(name="french", version=VERSION, description="A subset of article-summary in  French"),
-        datasets.BuilderConfig(name="german", version=VERSION, description="A subset of article-summary in German"),
-        datasets.BuilderConfig(name="hindi", version=VERSION, description="A subset of article-summary in Hindi"),
-        datasets.BuilderConfig(
-            name="indonesian", version=VERSION, description="A subset of article-summary in Indonesian"
-        ),
-        datasets.BuilderConfig(name="italian", version=VERSION, description="A subset of article-summary in Italian"),
         datasets.BuilderConfig(
-            name="japanese", version=VERSION, description="A subset of article-summary in Japanese"
-        ),
-        datasets.BuilderConfig(name="korean", version=VERSION, description="A subset of article-summary in Korean"),
-        datasets.BuilderConfig(
-            name="portuguese", version=VERSION, description="A subset of article-summary in Portuguese"
-        ),
-        datasets.BuilderConfig(name="russian", version=VERSION, description="A subset of article-summary in Russian"),
-        datasets.BuilderConfig(name="spanish", version=VERSION, description="A subset of article-summary in Spanish"),
-        datasets.BuilderConfig(name="thai", version=VERSION, description="A subset of article-summary in Thai"),
-        datasets.BuilderConfig(name="turkish", version=VERSION, description="A subset of article-summary in Turkish"),
-        datasets.BuilderConfig(
-            name="vietnamese", version=VERSION, description="A subset of article-summary in Vietnamese"
-        ),
+            name=lang,
+            version=datasets.Version("1.1.1"),
+            description=f"A subset of article-summary in {lang.capitalize()}",
+        )
+        for lang in _LANGUAGES
     ]
 
     DEFAULT_CONFIG_NAME = "english"
@@ -148,10 +126,6 @@ class WikiLingua(datasets.GeneratorBasedBuilder):
             description=_DESCRIPTION,
             # This defines the different columns of the dataset and their types
             features=features,  # Here we define them above because they are different between the two configurations
-            # If there's a common (input, target) tuple from the features,
-            # specify them here. They'll be used if as_supervised=True in
-            # builder.as_dataset.
-            supervised_keys=None,
             # Homepage of the dataset for documentation
             homepage=_HOMEPAGE,
             # License for the dataset if available
@@ -162,16 +136,13 @@ class WikiLingua(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         """Returns SplitGenerators."""
-        my_urls = _URLs[self.config.name]
-        # See create_dummy.py to create new dummy data
-        train_fname = dl_manager.download_and_extract(my_urls)
+        filepath = dl_manager.download_and_extract(_URL.format(language=self.config.name))
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": train_fname,
-                    "split": "train",
+                    "filepath": filepath,
                 },
             ),
         ]
@@ -189,9 +160,9 @@ class WikiLingua(datasets.GeneratorBasedBuilder):
 
         return processed_article
 
-    def _generate_examples(self, filepath, split):
+    def _generate_examples(self, filepath):
         """Yields examples."""
         with open(filepath, "rb") as f:
-            data = pickle.load(f)
-            for id_, row in enumerate(data.items()):
-                yield id_, {"url": row[0], "article": self._process_article(row[1])}
+            for id_, line in enumerate(f):
+                row = json.loads(line)
+                yield id_, {"url": row["url"], "article": self._process_article(row["article"])}