Update files from the datasets library (from 1.0.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.0.0

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
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+*.zstandard filter=lfs diff=lfs merge=lfs -text
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dataset_infos.json

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+{"18828_alt.atheism": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\ndoes not include cross-posts and includes only the \"From\" and \"Subject\" headers.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "18828_alt.atheism", "version": {"version_str": "3.0.0", "description": null, "datasets_version_to_prepare": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1669711, "num_examples": 799, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-18828.tar.gz": {"num_bytes": 14666916, "checksum": "380962ab5174e64eb8fee393d539d0793e03eb2b59a69df2318398935f4a48e2"}}, "download_size": 14666916, "dataset_size": 1669711, "size_in_bytes": 16336627}, "18828_comp.graphics": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\ndoes not include cross-posts and includes only the \"From\" and \"Subject\" headers.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "18828_comp.graphics", "version": {"version_str": "3.0.0", "description": null, "datasets_version_to_prepare": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1661443, "num_examples": 973, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-18828.tar.gz": {"num_bytes": 14666916, "checksum": "380962ab5174e64eb8fee393d539d0793e03eb2b59a69df2318398935f4a48e2"}}, "download_size": 14666916, "dataset_size": 1661443, "size_in_bytes": 16328359}, "18828_comp.os.ms-windows.misc": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\ndoes not include cross-posts and includes only the \"From\" and \"Subject\" headers.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "18828_comp.os.ms-windows.misc", "version": {"version_str": "3.0.0", "description": null, "datasets_version_to_prepare": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2378987, "num_examples": 985, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-18828.tar.gz": {"num_bytes": 14666916, "checksum": "380962ab5174e64eb8fee393d539d0793e03eb2b59a69df2318398935f4a48e2"}}, "download_size": 14666916, "dataset_size": 2378987, "size_in_bytes": 17045903}, "18828_comp.sys.ibm.pc.hardware": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\ndoes not include cross-posts and includes only the \"From\" and \"Subject\" headers.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "18828_comp.sys.ibm.pc.hardware", "version": {"version_str": "3.0.0", "description": null, "datasets_version_to_prepare": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1185433, "num_examples": 982, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-18828.tar.gz": {"num_bytes": 14666916, "checksum": "380962ab5174e64eb8fee393d539d0793e03eb2b59a69df2318398935f4a48e2"}}, "download_size": 14666916, "dataset_size": 1185433, "size_in_bytes": 15852349}, "18828_comp.sys.mac.hardware": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\ndoes not include cross-posts and includes only the \"From\" and \"Subject\" headers.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "18828_comp.sys.mac.hardware", "version": {"version_str": "3.0.0", "description": null, "datasets_version_to_prepare": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1056506, "num_examples": 961, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-18828.tar.gz": {"num_bytes": 14666916, "checksum": "380962ab5174e64eb8fee393d539d0793e03eb2b59a69df2318398935f4a48e2"}}, "download_size": 14666916, "dataset_size": 1056506, "size_in_bytes": 15723422}, "18828_comp.windows.x": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\ndoes not include cross-posts and includes only the \"From\" and \"Subject\" headers.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "18828_comp.windows.x", "version": {"version_str": "3.0.0", "description": null, "datasets_version_to_prepare": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1876543, "num_examples": 980, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-18828.tar.gz": {"num_bytes": 14666916, "checksum": "380962ab5174e64eb8fee393d539d0793e03eb2b59a69df2318398935f4a48e2"}}, "download_size": 14666916, "dataset_size": 1876543, "size_in_bytes": 16543459}, "18828_misc.forsale": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\ndoes not include cross-posts and includes only the \"From\" and \"Subject\" headers.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "18828_misc.forsale", "version": {"version_str": "3.0.0", "description": null, "datasets_version_to_prepare": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 925368, "num_examples": 972, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-18828.tar.gz": {"num_bytes": 14666916, "checksum": "380962ab5174e64eb8fee393d539d0793e03eb2b59a69df2318398935f4a48e2"}}, "download_size": 14666916, "dataset_size": 925368, "size_in_bytes": 15592284}, "18828_rec.autos": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\ndoes not include cross-posts and includes only the \"From\" and \"Subject\" headers.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "18828_rec.autos", "version": {"version_str": "3.0.0", "description": null, "datasets_version_to_prepare": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1295555, "num_examples": 990, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-18828.tar.gz": {"num_bytes": 14666916, "checksum": "380962ab5174e64eb8fee393d539d0793e03eb2b59a69df2318398935f4a48e2"}}, "download_size": 14666916, "dataset_size": 1295555, "size_in_bytes": 15962471}, "18828_rec.motorcycles": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\ndoes not include cross-posts and includes only the \"From\" and \"Subject\" headers.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "18828_rec.motorcycles", "version": {"version_str": "3.0.0", "description": null, "datasets_version_to_prepare": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1206741, "num_examples": 994, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-18828.tar.gz": {"num_bytes": 14666916, "checksum": "380962ab5174e64eb8fee393d539d0793e03eb2b59a69df2318398935f4a48e2"}}, "download_size": 14666916, "dataset_size": 1206741, "size_in_bytes": 15873657}, "18828_rec.sport.baseball": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\ndoes not include cross-posts and includes only the \"From\" and \"Subject\" headers.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "18828_rec.sport.baseball", "version": {"version_str": "3.0.0", "description": null, "datasets_version_to_prepare": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1369801, "num_examples": 994, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-18828.tar.gz": {"num_bytes": 14666916, "checksum": "380962ab5174e64eb8fee393d539d0793e03eb2b59a69df2318398935f4a48e2"}}, "download_size": 14666916, "dataset_size": 1369801, "size_in_bytes": 16036717}, "18828_rec.sport.hockey": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\ndoes not include cross-posts and includes only the \"From\" and \"Subject\" headers.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "18828_rec.sport.hockey", "version": {"version_str": "3.0.0", "description": null, "datasets_version_to_prepare": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1758344, "num_examples": 999, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-18828.tar.gz": {"num_bytes": 14666916, "checksum": "380962ab5174e64eb8fee393d539d0793e03eb2b59a69df2318398935f4a48e2"}}, "download_size": 14666916, "dataset_size": 1758344, "size_in_bytes": 16425260}, "18828_sci.crypt": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\ndoes not include cross-posts and includes only the \"From\" and \"Subject\" headers.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "18828_sci.crypt", "version": {"version_str": "3.0.0", "description": null, "datasets_version_to_prepare": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2050975, "num_examples": 991, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-18828.tar.gz": {"num_bytes": 14666916, "checksum": "380962ab5174e64eb8fee393d539d0793e03eb2b59a69df2318398935f4a48e2"}}, "download_size": 14666916, "dataset_size": 2050975, "size_in_bytes": 16717891}, "18828_sci.electronics": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\ndoes not include cross-posts and includes only the \"From\" and \"Subject\" headers.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "18828_sci.electronics", "version": {"version_str": "3.0.0", "description": null, "datasets_version_to_prepare": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1237421, "num_examples": 981, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-18828.tar.gz": {"num_bytes": 14666916, "checksum": "380962ab5174e64eb8fee393d539d0793e03eb2b59a69df2318398935f4a48e2"}}, "download_size": 14666916, "dataset_size": 1237421, "size_in_bytes": 15904337}, "18828_sci.med": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\ndoes not include cross-posts and includes only the \"From\" and \"Subject\" headers.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "18828_sci.med", "version": {"version_str": "3.0.0", "description": null, "datasets_version_to_prepare": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1886611, "num_examples": 990, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-18828.tar.gz": {"num_bytes": 14666916, "checksum": "380962ab5174e64eb8fee393d539d0793e03eb2b59a69df2318398935f4a48e2"}}, "download_size": 14666916, "dataset_size": 1886611, "size_in_bytes": 16553527}, "18828_sci.space": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\ndoes not include cross-posts and includes only the \"From\" and \"Subject\" headers.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "18828_sci.space", "version": {"version_str": "3.0.0", "description": null, "datasets_version_to_prepare": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1813051, "num_examples": 987, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-18828.tar.gz": {"num_bytes": 14666916, "checksum": "380962ab5174e64eb8fee393d539d0793e03eb2b59a69df2318398935f4a48e2"}}, "download_size": 14666916, "dataset_size": 1813051, "size_in_bytes": 16479967}, "18828_soc.religion.christian": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\ndoes not include cross-posts and includes only the \"From\" and \"Subject\" headers.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "18828_soc.religion.christian", "version": {"version_str": "3.0.0", "description": null, "datasets_version_to_prepare": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2307736, "num_examples": 997, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-18828.tar.gz": {"num_bytes": 14666916, "checksum": "380962ab5174e64eb8fee393d539d0793e03eb2b59a69df2318398935f4a48e2"}}, "download_size": 14666916, "dataset_size": 2307736, "size_in_bytes": 16974652}, "18828_talk.politics.guns": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\ndoes not include cross-posts and includes only the \"From\" and \"Subject\" headers.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "18828_talk.politics.guns", "version": {"version_str": "3.0.0", "description": null, "datasets_version_to_prepare": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1923220, "num_examples": 910, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-18828.tar.gz": {"num_bytes": 14666916, "checksum": "380962ab5174e64eb8fee393d539d0793e03eb2b59a69df2318398935f4a48e2"}}, "download_size": 14666916, "dataset_size": 1923220, "size_in_bytes": 16590136}, "18828_talk.politics.mideast": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\ndoes not include cross-posts and includes only the \"From\" and \"Subject\" headers.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "18828_talk.politics.mideast", "version": {"version_str": "3.0.0", "description": null, "datasets_version_to_prepare": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2910560, "num_examples": 940, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-18828.tar.gz": {"num_bytes": 14666916, "checksum": "380962ab5174e64eb8fee393d539d0793e03eb2b59a69df2318398935f4a48e2"}}, "download_size": 14666916, "dataset_size": 2910560, "size_in_bytes": 17577476}, "18828_talk.politics.misc": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\ndoes not include cross-posts and includes only the \"From\" and \"Subject\" headers.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "18828_talk.politics.misc", "version": {"version_str": "3.0.0", "description": null, "datasets_version_to_prepare": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2103003, "num_examples": 775, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-18828.tar.gz": {"num_bytes": 14666916, "checksum": "380962ab5174e64eb8fee393d539d0793e03eb2b59a69df2318398935f4a48e2"}}, "download_size": 14666916, "dataset_size": 2103003, "size_in_bytes": 16769919}, "18828_talk.religion.misc": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\ndoes not include cross-posts and includes only the \"From\" and \"Subject\" headers.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "18828_talk.religion.misc", "version": {"version_str": "3.0.0", "description": null, "datasets_version_to_prepare": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1374419, "num_examples": 628, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-18828.tar.gz": {"num_bytes": 14666916, "checksum": "380962ab5174e64eb8fee393d539d0793e03eb2b59a69df2318398935f4a48e2"}}, "download_size": 14666916, "dataset_size": 1374419, "size_in_bytes": 16041335}, "19997_alt.atheism": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nthe original, unmodified version.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "19997_alt.atheism", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2562527, "num_examples": 1000, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-19997.tar.gz": {"num_bytes": 17332201, "checksum": "ab7bbf82b7831f7dbb1a09d9312f66fa78565c8de25526999b0d66f69d37e414"}}, "download_size": 17332201, "dataset_size": 2562527, "size_in_bytes": 19894728}, "19997_comp.graphics": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nthe original, unmodified version.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "19997_comp.graphics", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2181923, "num_examples": 1000, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-19997.tar.gz": {"num_bytes": 17332201, "checksum": "ab7bbf82b7831f7dbb1a09d9312f66fa78565c8de25526999b0d66f69d37e414"}}, "download_size": 17332201, "dataset_size": 2181923, "size_in_bytes": 19514124}, "19997_comp.os.ms-windows.misc": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nthe original, unmodified version.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "19997_comp.os.ms-windows.misc", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2899010, "num_examples": 1000, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-19997.tar.gz": {"num_bytes": 17332201, "checksum": "ab7bbf82b7831f7dbb1a09d9312f66fa78565c8de25526999b0d66f69d37e414"}}, "download_size": 17332201, "dataset_size": 2899010, "size_in_bytes": 20231211}, "19997_comp.sys.ibm.pc.hardware": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nthe original, unmodified version.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "19997_comp.sys.ibm.pc.hardware", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1671416, "num_examples": 1000, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-19997.tar.gz": {"num_bytes": 17332201, "checksum": "ab7bbf82b7831f7dbb1a09d9312f66fa78565c8de25526999b0d66f69d37e414"}}, "download_size": 17332201, "dataset_size": 1671416, "size_in_bytes": 19003617}, "19997_comp.sys.mac.hardware": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nthe original, unmodified version.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "19997_comp.sys.mac.hardware", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1581131, "num_examples": 1000, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-19997.tar.gz": {"num_bytes": 17332201, "checksum": "ab7bbf82b7831f7dbb1a09d9312f66fa78565c8de25526999b0d66f69d37e414"}}, "download_size": 17332201, "dataset_size": 1581131, "size_in_bytes": 18913332}, "19997_comp.windows.x": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nthe original, unmodified version.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "19997_comp.windows.x", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2418523, "num_examples": 1000, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-19997.tar.gz": {"num_bytes": 17332201, "checksum": "ab7bbf82b7831f7dbb1a09d9312f66fa78565c8de25526999b0d66f69d37e414"}}, "download_size": 17332201, "dataset_size": 2418523, "size_in_bytes": 19750724}, "19997_misc.forsale": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nthe original, unmodified version.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "19997_misc.forsale", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1412262, "num_examples": 1000, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-19997.tar.gz": {"num_bytes": 17332201, "checksum": "ab7bbf82b7831f7dbb1a09d9312f66fa78565c8de25526999b0d66f69d37e414"}}, "download_size": 17332201, "dataset_size": 1412262, "size_in_bytes": 18744463}, "19997_rec.autos": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nthe original, unmodified version.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "19997_rec.autos", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1780752, "num_examples": 1000, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-19997.tar.gz": {"num_bytes": 17332201, "checksum": "ab7bbf82b7831f7dbb1a09d9312f66fa78565c8de25526999b0d66f69d37e414"}}, "download_size": 17332201, "dataset_size": 1780752, "size_in_bytes": 19112953}, "19997_rec.motorcycles": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nthe original, unmodified version.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "19997_rec.motorcycles", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1678214, "num_examples": 1000, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-19997.tar.gz": {"num_bytes": 17332201, "checksum": "ab7bbf82b7831f7dbb1a09d9312f66fa78565c8de25526999b0d66f69d37e414"}}, "download_size": 17332201, "dataset_size": 1678214, "size_in_bytes": 19010415}, "19997_rec.sport.baseball": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nthe original, unmodified version.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "19997_rec.sport.baseball", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1835682, "num_examples": 1000, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-19997.tar.gz": {"num_bytes": 17332201, "checksum": "ab7bbf82b7831f7dbb1a09d9312f66fa78565c8de25526999b0d66f69d37e414"}}, "download_size": 17332201, "dataset_size": 1835682, "size_in_bytes": 19167883}, "19997_rec.sport.hockey": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nthe original, unmodified version.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "19997_rec.sport.hockey", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2207532, "num_examples": 1000, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-19997.tar.gz": {"num_bytes": 17332201, "checksum": "ab7bbf82b7831f7dbb1a09d9312f66fa78565c8de25526999b0d66f69d37e414"}}, "download_size": 17332201, "dataset_size": 2207532, "size_in_bytes": 19539733}, "19997_sci.crypt": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nthe original, unmodified version.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "19997_sci.crypt", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2608085, "num_examples": 1000, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-19997.tar.gz": {"num_bytes": 17332201, "checksum": "ab7bbf82b7831f7dbb1a09d9312f66fa78565c8de25526999b0d66f69d37e414"}}, "download_size": 17332201, "dataset_size": 2608085, "size_in_bytes": 19940286}, "19997_sci.electronics": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nthe original, unmodified version.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "19997_sci.electronics", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1732449, "num_examples": 1000, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-19997.tar.gz": {"num_bytes": 17332201, "checksum": "ab7bbf82b7831f7dbb1a09d9312f66fa78565c8de25526999b0d66f69d37e414"}}, "download_size": 17332201, "dataset_size": 1732449, "size_in_bytes": 19064650}, "19997_sci.med": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nthe original, unmodified version.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "19997_sci.med", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2389039, "num_examples": 1000, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-19997.tar.gz": {"num_bytes": 17332201, "checksum": "ab7bbf82b7831f7dbb1a09d9312f66fa78565c8de25526999b0d66f69d37e414"}}, "download_size": 17332201, "dataset_size": 2389039, "size_in_bytes": 19721240}, "19997_sci.space": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nthe original, unmodified version.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "19997_sci.space", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2351661, "num_examples": 1000, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-19997.tar.gz": {"num_bytes": 17332201, "checksum": "ab7bbf82b7831f7dbb1a09d9312f66fa78565c8de25526999b0d66f69d37e414"}}, "download_size": 17332201, "dataset_size": 2351661, "size_in_bytes": 19683862}, "19997_soc.religion.christian": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nthe original, unmodified version.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "19997_soc.religion.christian", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2743268, "num_examples": 997, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-19997.tar.gz": {"num_bytes": 17332201, "checksum": "ab7bbf82b7831f7dbb1a09d9312f66fa78565c8de25526999b0d66f69d37e414"}}, "download_size": 17332201, "dataset_size": 2743268, "size_in_bytes": 20075469}, "19997_talk.politics.guns": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nthe original, unmodified version.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "19997_talk.politics.guns", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2639593, "num_examples": 1000, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-19997.tar.gz": {"num_bytes": 17332201, "checksum": "ab7bbf82b7831f7dbb1a09d9312f66fa78565c8de25526999b0d66f69d37e414"}}, "download_size": 17332201, "dataset_size": 2639593, "size_in_bytes": 19971794}, "19997_talk.politics.mideast": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nthe original, unmodified version.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "19997_talk.politics.mideast", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3696181, "num_examples": 1000, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-19997.tar.gz": {"num_bytes": 17332201, "checksum": "ab7bbf82b7831f7dbb1a09d9312f66fa78565c8de25526999b0d66f69d37e414"}}, "download_size": 17332201, "dataset_size": 3696181, "size_in_bytes": 21028382}, "19997_talk.politics.misc": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nthe original, unmodified version.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "19997_talk.politics.misc", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3169433, "num_examples": 1000, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-19997.tar.gz": {"num_bytes": 17332201, "checksum": "ab7bbf82b7831f7dbb1a09d9312f66fa78565c8de25526999b0d66f69d37e414"}}, "download_size": 17332201, "dataset_size": 3169433, "size_in_bytes": 20501634}, "19997_talk.religion.misc": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nthe original, unmodified version.", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "19997_talk.religion.misc", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2658950, "num_examples": 1000, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-19997.tar.gz": {"num_bytes": 17332201, "checksum": "ab7bbf82b7831f7dbb1a09d9312f66fa78565c8de25526999b0d66f69d37e414"}}, "download_size": 17332201, "dataset_size": 2658950, "size_in_bytes": 19991151}, "bydate_alt.atheism": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nsorted by date into training(60%) and test(40%) sets, does not include cross-posts (duplicates) and does not include newsgroup-identifying headers (Xref, Newsgroups, Path, Followup-To, Date)", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "bydate_alt.atheism", "version": {"version_str": "2.0.0", "description": null, "datasets_version_to_prepare": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1042344, "num_examples": 480, "dataset_name": "newsgroups"}, "test": {"name": "test", "num_bytes": 1042344, "num_examples": 480, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-bydate.tar.gz": {"num_bytes": 14464277, "checksum": "8f1b2514ca22a5ade8fbb9cfa5727df95fa587f4c87b786e15c759fa66d95610"}}, "download_size": 14464277, "dataset_size": 2084688, "size_in_bytes": 16548965}, "bydate_comp.graphics": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nsorted by date into training(60%) and test(40%) sets, does not include cross-posts (duplicates) and does not include newsgroup-identifying headers (Xref, Newsgroups, Path, Followup-To, Date)", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "bydate_comp.graphics", "version": {"version_str": "2.0.0", "description": null, "datasets_version_to_prepare": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 911811, "num_examples": 584, "dataset_name": "newsgroups"}, "test": {"name": "test", "num_bytes": 911811, "num_examples": 584, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-bydate.tar.gz": {"num_bytes": 14464277, "checksum": "8f1b2514ca22a5ade8fbb9cfa5727df95fa587f4c87b786e15c759fa66d95610"}}, "download_size": 14464277, "dataset_size": 1823622, "size_in_bytes": 16287899}, "bydate_comp.os.ms-windows.misc": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nsorted by date into training(60%) and test(40%) sets, does not include cross-posts (duplicates) and does not include newsgroup-identifying headers (Xref, Newsgroups, Path, Followup-To, Date)", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "bydate_comp.os.ms-windows.misc", "version": {"version_str": "2.0.0", "description": null, "datasets_version_to_prepare": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1771136, "num_examples": 591, "dataset_name": "newsgroups"}, "test": {"name": "test", "num_bytes": 1771136, "num_examples": 591, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-bydate.tar.gz": {"num_bytes": 14464277, "checksum": "8f1b2514ca22a5ade8fbb9cfa5727df95fa587f4c87b786e15c759fa66d95610"}}, "download_size": 14464277, "dataset_size": 3542272, "size_in_bytes": 18006549}, "bydate_comp.sys.ibm.pc.hardware": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nsorted by date into training(60%) and test(40%) sets, does not include cross-posts (duplicates) and does not include newsgroup-identifying headers (Xref, Newsgroups, Path, Followup-To, Date)", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "bydate_comp.sys.ibm.pc.hardware", "version": {"version_str": "2.0.0", "description": null, "datasets_version_to_prepare": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 800594, "num_examples": 590, "dataset_name": "newsgroups"}, "test": {"name": "test", "num_bytes": 800594, "num_examples": 590, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-bydate.tar.gz": {"num_bytes": 14464277, "checksum": "8f1b2514ca22a5ade8fbb9cfa5727df95fa587f4c87b786e15c759fa66d95610"}}, "download_size": 14464277, "dataset_size": 1601188, "size_in_bytes": 16065465}, "bydate_comp.sys.mac.hardware": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nsorted by date into training(60%) and test(40%) sets, does not include cross-posts (duplicates) and does not include newsgroup-identifying headers (Xref, Newsgroups, Path, Followup-To, Date)", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "bydate_comp.sys.mac.hardware", "version": {"version_str": "2.0.0", "description": null, "datasets_version_to_prepare": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 696457, "num_examples": 578, "dataset_name": "newsgroups"}, "test": {"name": "test", "num_bytes": 696457, "num_examples": 578, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-bydate.tar.gz": {"num_bytes": 14464277, "checksum": "8f1b2514ca22a5ade8fbb9cfa5727df95fa587f4c87b786e15c759fa66d95610"}}, "download_size": 14464277, "dataset_size": 1392914, "size_in_bytes": 15857191}, "bydate_comp.windows.x": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nsorted by date into training(60%) and test(40%) sets, does not include cross-posts (duplicates) and does not include newsgroup-identifying headers (Xref, Newsgroups, Path, Followup-To, Date)", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "bydate_comp.windows.x", "version": {"version_str": "2.0.0", "description": null, "datasets_version_to_prepare": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1243613, "num_examples": 593, "dataset_name": "newsgroups"}, "test": {"name": "test", "num_bytes": 1243613, "num_examples": 593, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-bydate.tar.gz": {"num_bytes": 14464277, "checksum": "8f1b2514ca22a5ade8fbb9cfa5727df95fa587f4c87b786e15c759fa66d95610"}}, "download_size": 14464277, "dataset_size": 2487226, "size_in_bytes": 16951503}, "bydate_misc.forsale": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nsorted by date into training(60%) and test(40%) sets, does not include cross-posts (duplicates) and does not include newsgroup-identifying headers (Xref, Newsgroups, Path, Followup-To, Date)", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "bydate_misc.forsale", "version": {"version_str": "2.0.0", "description": null, "datasets_version_to_prepare": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 611358, "num_examples": 585, "dataset_name": "newsgroups"}, "test": {"name": "test", "num_bytes": 611358, "num_examples": 585, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-bydate.tar.gz": {"num_bytes": 14464277, "checksum": "8f1b2514ca22a5ade8fbb9cfa5727df95fa587f4c87b786e15c759fa66d95610"}}, "download_size": 14464277, "dataset_size": 1222716, "size_in_bytes": 15686993}, "bydate_rec.autos": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nsorted by date into training(60%) and test(40%) sets, does not include cross-posts (duplicates) and does not include newsgroup-identifying headers (Xref, Newsgroups, Path, Followup-To, Date)", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "bydate_rec.autos", "version": {"version_str": "2.0.0", "description": null, "datasets_version_to_prepare": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 860796, "num_examples": 594, "dataset_name": "newsgroups"}, "test": {"name": "test", "num_bytes": 860796, "num_examples": 594, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-bydate.tar.gz": {"num_bytes": 14464277, "checksum": "8f1b2514ca22a5ade8fbb9cfa5727df95fa587f4c87b786e15c759fa66d95610"}}, "download_size": 14464277, "dataset_size": 1721592, "size_in_bytes": 16185869}, "bydate_rec.motorcycles": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nsorted by date into training(60%) and test(40%) sets, does not include cross-posts (duplicates) and does not include newsgroup-identifying headers (Xref, Newsgroups, Path, Followup-To, Date)", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "bydate_rec.motorcycles", "version": {"version_str": "2.0.0", "description": null, "datasets_version_to_prepare": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 811301, "num_examples": 598, "dataset_name": "newsgroups"}, "test": {"name": "test", "num_bytes": 811301, "num_examples": 598, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-bydate.tar.gz": {"num_bytes": 14464277, "checksum": "8f1b2514ca22a5ade8fbb9cfa5727df95fa587f4c87b786e15c759fa66d95610"}}, "download_size": 14464277, "dataset_size": 1622602, "size_in_bytes": 16086879}, "bydate_rec.sport.baseball": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nsorted by date into training(60%) and test(40%) sets, does not include cross-posts (duplicates) and does not include newsgroup-identifying headers (Xref, Newsgroups, Path, Followup-To, Date)", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "bydate_rec.sport.baseball", "version": {"version_str": "2.0.0", "description": null, "datasets_version_to_prepare": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 850890, "num_examples": 597, "dataset_name": "newsgroups"}, "test": {"name": "test", "num_bytes": 850890, "num_examples": 597, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-bydate.tar.gz": {"num_bytes": 14464277, "checksum": "8f1b2514ca22a5ade8fbb9cfa5727df95fa587f4c87b786e15c759fa66d95610"}}, "download_size": 14464277, "dataset_size": 1701780, "size_in_bytes": 16166057}, "bydate_rec.sport.hockey": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nsorted by date into training(60%) and test(40%) sets, does not include cross-posts (duplicates) and does not include newsgroup-identifying headers (Xref, Newsgroups, Path, Followup-To, Date)", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "bydate_rec.sport.hockey", "version": {"version_str": "2.0.0", "description": null, "datasets_version_to_prepare": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1189802, "num_examples": 600, "dataset_name": "newsgroups"}, "test": {"name": "test", "num_bytes": 1189802, "num_examples": 600, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-bydate.tar.gz": {"num_bytes": 14464277, "checksum": "8f1b2514ca22a5ade8fbb9cfa5727df95fa587f4c87b786e15c759fa66d95610"}}, "download_size": 14464277, "dataset_size": 2379604, "size_in_bytes": 16843881}, "bydate_sci.crypt": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nsorted by date into training(60%) and test(40%) sets, does not include cross-posts (duplicates) and does not include newsgroup-identifying headers (Xref, Newsgroups, Path, Followup-To, Date)", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "bydate_sci.crypt", "version": {"version_str": "2.0.0", "description": null, "datasets_version_to_prepare": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1502598, "num_examples": 595, "dataset_name": "newsgroups"}, "test": {"name": "test", "num_bytes": 1502598, "num_examples": 595, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-bydate.tar.gz": {"num_bytes": 14464277, "checksum": "8f1b2514ca22a5ade8fbb9cfa5727df95fa587f4c87b786e15c759fa66d95610"}}, "download_size": 14464277, "dataset_size": 3005196, "size_in_bytes": 17469473}, "bydate_sci.electronics": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nsorted by date into training(60%) and test(40%) sets, does not include cross-posts (duplicates) and does not include newsgroup-identifying headers (Xref, Newsgroups, Path, Followup-To, Date)", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "bydate_sci.electronics", "version": {"version_str": "2.0.0", "description": null, "datasets_version_to_prepare": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 815004, "num_examples": 591, "dataset_name": "newsgroups"}, "test": {"name": "test", "num_bytes": 815004, "num_examples": 591, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-bydate.tar.gz": {"num_bytes": 14464277, "checksum": "8f1b2514ca22a5ade8fbb9cfa5727df95fa587f4c87b786e15c759fa66d95610"}}, "download_size": 14464277, "dataset_size": 1630008, "size_in_bytes": 16094285}, "bydate_sci.med": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nsorted by date into training(60%) and test(40%) sets, does not include cross-posts (duplicates) and does not include newsgroup-identifying headers (Xref, Newsgroups, Path, Followup-To, Date)", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "bydate_sci.med", "version": {"version_str": "2.0.0", "description": null, "datasets_version_to_prepare": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1195351, "num_examples": 594, "dataset_name": "newsgroups"}, "test": {"name": "test", "num_bytes": 1195351, "num_examples": 594, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-bydate.tar.gz": {"num_bytes": 14464277, "checksum": "8f1b2514ca22a5ade8fbb9cfa5727df95fa587f4c87b786e15c759fa66d95610"}}, "download_size": 14464277, "dataset_size": 2390702, "size_in_bytes": 16854979}, "bydate_sci.space": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nsorted by date into training(60%) and test(40%) sets, does not include cross-posts (duplicates) and does not include newsgroup-identifying headers (Xref, Newsgroups, Path, Followup-To, Date)", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "bydate_sci.space", "version": {"version_str": "2.0.0", "description": null, "datasets_version_to_prepare": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1198115, "num_examples": 593, "dataset_name": "newsgroups"}, "test": {"name": "test", "num_bytes": 1198115, "num_examples": 593, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-bydate.tar.gz": {"num_bytes": 14464277, "checksum": "8f1b2514ca22a5ade8fbb9cfa5727df95fa587f4c87b786e15c759fa66d95610"}}, "download_size": 14464277, "dataset_size": 2396230, "size_in_bytes": 16860507}, "bydate_soc.religion.christian": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nsorted by date into training(60%) and test(40%) sets, does not include cross-posts (duplicates) and does not include newsgroup-identifying headers (Xref, Newsgroups, Path, Followup-To, Date)", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "bydate_soc.religion.christian", "version": {"version_str": "2.0.0", "description": null, "datasets_version_to_prepare": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1358197, "num_examples": 599, "dataset_name": "newsgroups"}, "test": {"name": "test", "num_bytes": 1358197, "num_examples": 599, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-bydate.tar.gz": {"num_bytes": 14464277, "checksum": "8f1b2514ca22a5ade8fbb9cfa5727df95fa587f4c87b786e15c759fa66d95610"}}, "download_size": 14464277, "dataset_size": 2716394, "size_in_bytes": 17180671}, "bydate_talk.politics.guns": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nsorted by date into training(60%) and test(40%) sets, does not include cross-posts (duplicates) and does not include newsgroup-identifying headers (Xref, Newsgroups, Path, Followup-To, Date)", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "bydate_talk.politics.guns", "version": {"version_str": "2.0.0", "description": null, "datasets_version_to_prepare": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1313157, "num_examples": 546, "dataset_name": "newsgroups"}, "test": {"name": "test", "num_bytes": 1313157, "num_examples": 546, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-bydate.tar.gz": {"num_bytes": 14464277, "checksum": "8f1b2514ca22a5ade8fbb9cfa5727df95fa587f4c87b786e15c759fa66d95610"}}, "download_size": 14464277, "dataset_size": 2626314, "size_in_bytes": 17090591}, "bydate_talk.politics.mideast": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nsorted by date into training(60%) and test(40%) sets, does not include cross-posts (duplicates) and does not include newsgroup-identifying headers (Xref, Newsgroups, Path, Followup-To, Date)", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "bydate_talk.politics.mideast", "version": {"version_str": "2.0.0", "description": null, "datasets_version_to_prepare": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1765975, "num_examples": 564, "dataset_name": "newsgroups"}, "test": {"name": "test", "num_bytes": 1765975, "num_examples": 564, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-bydate.tar.gz": {"num_bytes": 14464277, "checksum": "8f1b2514ca22a5ade8fbb9cfa5727df95fa587f4c87b786e15c759fa66d95610"}}, "download_size": 14464277, "dataset_size": 3531950, "size_in_bytes": 17996227}, "bydate_talk.politics.misc": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nsorted by date into training(60%) and test(40%) sets, does not include cross-posts (duplicates) and does not include newsgroup-identifying headers (Xref, Newsgroups, Path, Followup-To, Date)", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "bydate_talk.politics.misc", "version": {"version_str": "2.0.0", "description": null, "datasets_version_to_prepare": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1328175, "num_examples": 465, "dataset_name": "newsgroups"}, "test": {"name": "test", "num_bytes": 1328175, "num_examples": 465, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-bydate.tar.gz": {"num_bytes": 14464277, "checksum": "8f1b2514ca22a5ade8fbb9cfa5727df95fa587f4c87b786e15c759fa66d95610"}}, "download_size": 14464277, "dataset_size": 2656350, "size_in_bytes": 17120627}, "bydate_talk.religion.misc": {"description": "\nThe 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across \n20 different newsgroups. To the best of my knowledge, it was originally collected by Ken Lang, probably for his Newsweeder: \nLearning to filter netnews paper, though he does not explicitly mention this collection. The 20 newsgroups collection has become \na popular data set for experiments in text applications of machine learning techniques, such as text classification and text clustering.\n\nsorted by date into training(60%) and test(40%) sets, does not include cross-posts (duplicates) and does not include newsgroup-identifying headers (Xref, Newsgroups, Path, Followup-To, Date)", "citation": "\n\n", "homepage": "http://qwone.com/~jason/20Newsgroups/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "newsgroups", "config_name": "bydate_talk.religion.misc", "version": {"version_str": "2.0.0", "description": null, "datasets_version_to_prepare": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 835857, "num_examples": 377, "dataset_name": "newsgroups"}, "test": {"name": "test", "num_bytes": 835857, "num_examples": 377, "dataset_name": "newsgroups"}}, "download_checksums": {"http://qwone.com/~jason/20Newsgroups/20news-bydate.tar.gz": {"num_bytes": 14464277, "checksum": "8f1b2514ca22a5ade8fbb9cfa5727df95fa587f4c87b786e15c759fa66d95610"}}, "download_size": 14464277, "dataset_size": 1671714, "size_in_bytes": 16135991}}

dummy/18828_alt.atheism/3.0.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:01d27e67178e23decedb4ece5d1af0d995d29b1de50048911dc5e8d2c65ba456
+size 19084

newsgroup.py

@@ -0,0 +1,162 @@
+# coding=utf-8
+# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# 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.
+
+# Lint as: python3
+"""20Newsgroup  dataset"""
+
+from __future__ import absolute_import, division, print_function
+
+import os
+
+import datasets
+
+
+_CITATION = """
+@inproceedings{Lang95,
+    author = {Ken Lang},
+    title = {Newsweeder: Learning to filter netnews}
+    year = {1995}
+    booktitle = {Proceedings of the Twelfth International Conference on Machine Learning}
+    pages = {331-339}
+    }
+ """
+
+_DESCRIPTION = """
+The 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across
+20 different newsgroups. The 20 newsgroups collection has become a popular data set for experiments in text applications of
+machine learning techniques, such as text classification and text clustering.
+"""
+
+_DOWNLOAD_URL = {
+    "bydate": "http://qwone.com/~jason/20Newsgroups/20news-bydate.tar.gz",
+    "19997": "http://qwone.com/~jason/20Newsgroups/20news-19997.tar.gz",
+    "18828": "http://qwone.com/~jason/20Newsgroups/20news-18828.tar.gz",
+}
+_NEWS_GROUPS = [
+    "comp.graphics",
+    "comp.os.ms-windows.misc",
+    "comp.sys.ibm.pc.hardware",
+    "comp.sys.mac.hardware",
+    "comp.windows.x",
+    "rec.autos",
+    "rec.motorcycles",
+    "rec.sport.baseball",
+    "rec.sport.hockey",
+    "sci.crypt",
+    "sci.electronics",
+    "sci.med",
+    "sci.space",
+    "misc.forsale",
+    "talk.politics.misc",
+    "talk.politics.guns",
+    "talk.politics.mideast",
+    "talk.religion.misc",
+    "alt.atheism",
+    "soc.religion.christian",
+]
+_VERSIONS = {"19997": "1.0.0", "bydate": "2.0.0", "18828": "3.0.0"}
+
+_DESC = {
+    "19997": "the original, unmodified version.",
+    "bydate": "sorted by date into training(60%) and test(40%) sets, does not include cross-posts (duplicates) and does not include newsgroup-identifying headers (Xref, Newsgroups, Path, Followup-To, Date)",
+    "18828": 'does not include cross-posts and includes only the "From" and "Subject" headers.',
+}
+_CONFIG_NAMES = []
+for version in _VERSIONS:
+    for group in _NEWS_GROUPS:
+        _CONFIG_NAMES.append(version + "_" + group)
+
+_CONFIG_NAMES = sorted(_CONFIG_NAMES)
+
+
+class NewsgroupConfig(datasets.BuilderConfig):
+    """BuilderConfig for 20Newsgroup."""
+
+    def __init__(self, sub_dir, **kwargs):
+        """Constructs a 20Newsgroup.
+
+        Args:
+        sub_dirs: str
+        **kwargs: keyword arguments forwarded to super.
+        """
+
+        super(NewsgroupConfig, self).__init__(**kwargs)
+        self.sub_dir = sub_dir
+
+
+class Newsgroups(datasets.GeneratorBasedBuilder):
+
+    BUILDER_CONFIGS = [
+        NewsgroupConfig(
+            name=name,
+            description=_DESC[name.split("_")[0]],
+            sub_dir=name.split("_")[1],
+            version=datasets.Version(_VERSIONS[name.split("_")[0]]),
+        )
+        for name in _CONFIG_NAMES
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION + "\n" + self.config.description,
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                }
+            ),
+            homepage="http://qwone.com/~jason/20Newsgroups/",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        url = _DOWNLOAD_URL[self.config.name.split("_")[0]]
+        path = dl_manager.download_and_extract(url)
+        if self.config.name.startswith("bydate"):
+
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TRAIN,
+                    gen_kwargs={"files_path": os.path.join(path, "20news-bydate-train", self.config.sub_dir)},
+                ),
+                datasets.SplitGenerator(
+                    name=datasets.Split.TEST,
+                    gen_kwargs={"files_path": os.path.join(path, "20news-bydate-train", self.config.sub_dir)},
+                ),
+            ]
+        elif self.config.name.startswith("19997"):
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TRAIN,
+                    gen_kwargs={"files_path": os.path.join(path, "20_newsgroups", self.config.sub_dir)},
+                )
+            ]
+        else:
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TRAIN,
+                    gen_kwargs={"files_path": os.path.join(path, "20news-18828", self.config.sub_dir)},
+                )
+            ]
+
+    def _generate_examples(self, files_path):
+        """Yields examples."""
+        files = sorted(os.listdir(files_path))
+        for id_, file in enumerate(files):
+            filepath = os.path.join(files_path, file)
+            with open(
+                filepath, encoding="utf8", errors="ignore"
+            ) as f:  # here we can ignore byte encoded tokens. we only have a very few and in most case it happens at the end of the file (kind of \FF)
+                text = f.read()
+                yield id_, {"text": text}