Datasets:
polyglot_ner

- {"ca": {"description": "Polyglot-NER\nA training dataset automatically generated from Wikipedia and Freebase the task\nof named entity recognition. The dataset contains the basic Wikipedia based\ntraining data for 40 languages we have (with coreference resolution) for the task of\nnamed entity recognition. The details of the procedure of generating them is outlined in\nSection 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data\ncorresponding to a different language. 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The dataset contains the basic Wikipedia based\ntraining data for 40 languages we have (with coreference resolution) for the task of\nnamed entity recognition. The details of the procedure of generating them is outlined in\nSection 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data\ncorresponding to a different language. For example, \"es\" includes only spanish examples.\n", "citation": "@article{polyglotner,\n author = {Al-Rfou, Rami and Kulkarni, Vivek and Perozzi, Bryan and Skiena, Steven},\n title = {{Polyglot-NER}: Massive Multilingual Named Entity Recognition},\n journal = {{Proceedings of the 2015 {SIAM} International Conference on Data Mining, Vancouver, British Columbia, Canada, April 30- May 2, 2015}},\n month = {April},\n year = {2015},\n publisher = {SIAM},\n}\n", "homepage": "https://sites.google.com/site/rmyeid/projects/polylgot-ner", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ner": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "polyglot_ner", "config_name": "de", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 156744752, "num_examples": 547578, "dataset_name": "polyglot_ner"}}, "download_checksums": {"http://cs.stonybrook.edu/~polyglot/ner2/emnlp_datasets.tgz": {"num_bytes": 1107018606, "checksum": "1a64a1f61470050870b4429ea7a3e8376f60dc0fa1a587deeb7d2625baa08f69"}}, "download_size": 1107018606, "post_processing_size": null, "dataset_size": 156744752, "size_in_bytes": 1263763358}, "es": {"description": "Polyglot-NER\nA training dataset automatically generated from Wikipedia and Freebase the task\nof named entity recognition. The dataset contains the basic Wikipedia based\ntraining data for 40 languages we have (with coreference resolution) for the task of\nnamed entity recognition. The details of the procedure of generating them is outlined in\nSection 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data\ncorresponding to a different language. For example, \"es\" includes only spanish examples.\n", "citation": "@article{polyglotner,\n author = {Al-Rfou, Rami and Kulkarni, Vivek and Perozzi, Bryan and Skiena, Steven},\n title = {{Polyglot-NER}: Massive Multilingual Named Entity Recognition},\n journal = {{Proceedings of the 2015 {SIAM} International Conference on Data Mining, Vancouver, British Columbia, Canada, April 30- May 2, 2015}},\n month = {April},\n year = {2015},\n publisher = {SIAM},\n}\n", "homepage": "https://sites.google.com/site/rmyeid/projects/polylgot-ner", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ner": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "polyglot_ner", "config_name": "es", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 145387551, "num_examples": 386699, "dataset_name": "polyglot_ner"}}, "download_checksums": {"http://cs.stonybrook.edu/~polyglot/ner2/emnlp_datasets.tgz": {"num_bytes": 1107018606, "checksum": "1a64a1f61470050870b4429ea7a3e8376f60dc0fa1a587deeb7d2625baa08f69"}}, "download_size": 1107018606, "post_processing_size": null, "dataset_size": 145387551, "size_in_bytes": 1252406157}, "fi": {"description": "Polyglot-NER\nA training dataset automatically generated from Wikipedia and Freebase the task\nof named entity recognition. The dataset contains the basic Wikipedia based\ntraining data for 40 languages we have (with coreference resolution) for the task of\nnamed entity recognition. The details of the procedure of generating them is outlined in\nSection 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data\ncorresponding to a different language. For example, \"es\" includes only spanish examples.\n", "citation": "@article{polyglotner,\n author = {Al-Rfou, Rami and Kulkarni, Vivek and Perozzi, Bryan and Skiena, Steven},\n title = {{Polyglot-NER}: Massive Multilingual Named Entity Recognition},\n journal = {{Proceedings of the 2015 {SIAM} International Conference on Data Mining, Vancouver, British Columbia, Canada, April 30- May 2, 2015}},\n month = {April},\n year = {2015},\n publisher = {SIAM},\n}\n", "homepage": "https://sites.google.com/site/rmyeid/projects/polylgot-ner", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ner": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "polyglot_ner", "config_name": "fi", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 95175890, "num_examples": 387465, "dataset_name": "polyglot_ner"}}, "download_checksums": {"http://cs.stonybrook.edu/~polyglot/ner2/emnlp_datasets.tgz": {"num_bytes": 1107018606, "checksum": "1a64a1f61470050870b4429ea7a3e8376f60dc0fa1a587deeb7d2625baa08f69"}}, "download_size": 1107018606, "post_processing_size": null, "dataset_size": 95175890, "size_in_bytes": 1202194496}, "hi": {"description": "Polyglot-NER\nA training dataset automatically generated from Wikipedia and Freebase the task\nof named entity recognition. The dataset contains the basic Wikipedia based\ntraining data for 40 languages we have (with coreference resolution) for the task of\nnamed entity recognition. The details of the procedure of generating them is outlined in\nSection 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data\ncorresponding to a different language. For example, \"es\" includes only spanish examples.\n", "citation": "@article{polyglotner,\n author = {Al-Rfou, Rami and Kulkarni, Vivek and Perozzi, Bryan and Skiena, Steven},\n title = {{Polyglot-NER}: Massive Multilingual Named Entity Recognition},\n journal = {{Proceedings of the 2015 {SIAM} International Conference on Data Mining, Vancouver, British Columbia, Canada, April 30- May 2, 2015}},\n month = {April},\n year = {2015},\n publisher = {SIAM},\n}\n", "homepage": "https://sites.google.com/site/rmyeid/projects/polylgot-ner", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ner": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "polyglot_ner", "config_name": "hi", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 177698330, "num_examples": 401648, "dataset_name": "polyglot_ner"}}, "download_checksums": {"http://cs.stonybrook.edu/~polyglot/ner2/emnlp_datasets.tgz": {"num_bytes": 1107018606, "checksum": "1a64a1f61470050870b4429ea7a3e8376f60dc0fa1a587deeb7d2625baa08f69"}}, "download_size": 1107018606, "post_processing_size": null, "dataset_size": 177698330, "size_in_bytes": 1284716936}, "id": {"description": "Polyglot-NER\nA training dataset automatically generated from Wikipedia and Freebase the task\nof named entity recognition. The dataset contains the basic Wikipedia based\ntraining data for 40 languages we have (with coreference resolution) for the task of\nnamed entity recognition. The details of the procedure of generating them is outlined in\nSection 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data\ncorresponding to a different language. For example, \"es\" includes only spanish examples.\n", "citation": "@article{polyglotner,\n author = {Al-Rfou, Rami and Kulkarni, Vivek and Perozzi, Bryan and Skiena, Steven},\n title = {{Polyglot-NER}: Massive Multilingual Named Entity Recognition},\n journal = {{Proceedings of the 2015 {SIAM} International Conference on Data Mining, Vancouver, British Columbia, Canada, April 30- May 2, 2015}},\n month = {April},\n year = {2015},\n publisher = {SIAM},\n}\n", "homepage": "https://sites.google.com/site/rmyeid/projects/polylgot-ner", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ner": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "polyglot_ner", "config_name": "id", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 152560050, "num_examples": 463862, "dataset_name": "polyglot_ner"}}, "download_checksums": {"http://cs.stonybrook.edu/~polyglot/ner2/emnlp_datasets.tgz": {"num_bytes": 1107018606, "checksum": "1a64a1f61470050870b4429ea7a3e8376f60dc0fa1a587deeb7d2625baa08f69"}}, "download_size": 1107018606, "post_processing_size": null, "dataset_size": 152560050, "size_in_bytes": 1259578656}, "ko": {"description": "Polyglot-NER\nA training dataset automatically generated from Wikipedia and Freebase the task\nof named entity recognition. The dataset contains the basic Wikipedia based\ntraining data for 40 languages we have (with coreference resolution) for the task of\nnamed entity recognition. The details of the procedure of generating them is outlined in\nSection 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data\ncorresponding to a different language. 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The dataset contains the basic Wikipedia based\ntraining data for 40 languages we have (with coreference resolution) for the task of\nnamed entity recognition. The details of the procedure of generating them is outlined in\nSection 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data\ncorresponding to a different language. 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The dataset contains the basic Wikipedia based\ntraining data for 40 languages we have (with coreference resolution) for the task of\nnamed entity recognition. The details of the procedure of generating them is outlined in\nSection 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data\ncorresponding to a different language. For example, \"es\" includes only spanish examples.\n", "citation": "@article{polyglotner,\n author = {Al-Rfou, Rami and Kulkarni, Vivek and Perozzi, Bryan and Skiena, Steven},\n title = {{Polyglot-NER}: Massive Multilingual Named Entity Recognition},\n journal = {{Proceedings of the 2015 {SIAM} International Conference on Data Mining, Vancouver, British Columbia, Canada, April 30- May 2, 2015}},\n month = {April},\n year = {2015},\n publisher = {SIAM},\n}\n", "homepage": "https://sites.google.com/site/rmyeid/projects/polylgot-ner", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "words": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ner": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "polyglot_ner", "config_name": "pl", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 159684112, "num_examples": 623267, "dataset_name": "polyglot_ner"}}, "download_checksums": {"http://cs.stonybrook.edu/~polyglot/ner2/emnlp_datasets.tgz": {"num_bytes": 1107018606, "checksum": "1a64a1f61470050870b4429ea7a3e8376f60dc0fa1a587deeb7d2625baa08f69"}}, "download_size": 1107018606, "post_processing_size": null, "dataset_size": 159684112, "size_in_bytes": 1266702718}, "ru": {"description": "Polyglot-NER\nA training dataset automatically generated from Wikipedia and Freebase the task\nof named entity recognition. 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