Datasets:
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Delete legacy dataset_infos.json
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dataset_infos.json
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{
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"simplification": {
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"description": "ASSET is a dataset for evaluating Sentence Simplification systems with multiple rewriting transformations,\nas described in \"ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations\".\nThe corpus is composed of 2000 validation and 359 test original sentences that were each simplified 10 times by different annotators.\nThe corpus also contains human judgments of meaning preservation, fluency and simplicity for the outputs of several automatic text simplification systems.\n",
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"citation": "@inproceedings{alva-manchego-etal-2020-asset,\n title = \"{ASSET}: {A} Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations\",\n author = \"Alva-Manchego, Fernando and\n Martin, Louis and\n Bordes, Antoine and\n Scarton, Carolina and\n Sagot, Benoit and\n Specia, Lucia\",\n booktitle = \"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics\",\n month = jul,\n year = \"2020\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://www.aclweb.org/anthology/2020.acl-main.424\",\n pages = \"4668--4679\",\n}\n",
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"homepage": "https://github.com/facebookresearch/asset",
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"license": "Creative Common Attribution-NonCommercial 4.0 International",
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"features": {
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"original": {
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"dtype": "string",
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"_type": "Value"
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},
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"simplifications": {
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"feature": {
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"dtype": "string",
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"_type": "Value"
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},
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"_type": "Sequence"
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}
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},
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"builder_name": "asset",
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"dataset_name": "asset",
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"config_name": "simplification",
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"version": {
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"version_str": "1.0.0",
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"major": 1,
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"minor": 0,
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"patch": 0
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},
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"splits": {
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"validation": {
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"name": "validation",
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"num_bytes": 2303484,
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"num_examples": 2000,
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"dataset_name": null
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},
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"test": {
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"name": "test",
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"num_bytes": 411019,
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"num_examples": 359,
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"dataset_name": null
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}
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},
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"download_size": 1055163,
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"dataset_size": 2714503,
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"size_in_bytes": 3769666
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},
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"ratings": {
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"description": "ASSET is a dataset for evaluating Sentence Simplification systems with multiple rewriting transformations,\nas described in \"ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations\".\nThe corpus is composed of 2000 validation and 359 test original sentences that were each simplified 10 times by different annotators.\nThe corpus also contains human judgments of meaning preservation, fluency and simplicity for the outputs of several automatic text simplification systems.\n",
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"citation": "@inproceedings{alva-manchego-etal-2020-asset,\n title = \"{ASSET}: {A} Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations\",\n author = \"Alva-Manchego, Fernando and\n Martin, Louis and\n Bordes, Antoine and\n Scarton, Carolina and\n Sagot, Benoit and\n Specia, Lucia\",\n booktitle = \"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics\",\n month = jul,\n year = \"2020\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://www.aclweb.org/anthology/2020.acl-main.424\",\n pages = \"4668--4679\",\n}\n",
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"homepage": "https://github.com/facebookresearch/asset",
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"license": "Creative Common Attribution-NonCommercial 4.0 International",
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"features": {
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"original": {
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"dtype": "string",
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"_type": "Value"
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},
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"simplification": {
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"dtype": "string",
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"_type": "Value"
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},
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"original_sentence_id": {
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"dtype": "int32",
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"_type": "Value"
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},
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"aspect": {
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"names": [
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"meaning",
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"fluency",
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"simplicity"
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],
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"_type": "ClassLabel"
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},
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"worker_id": {
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"dtype": "int32",
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"_type": "Value"
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},
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"rating": {
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"dtype": "int32",
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"_type": "Value"
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}
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},
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"builder_name": "asset",
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"dataset_name": "asset",
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"config_name": "ratings",
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"version": {
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"version_str": "1.0.0",
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"major": 1,
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"minor": 0,
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"patch": 0
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},
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"splits": {
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"full": {
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"name": "full",
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"num_bytes": 1036845,
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"num_examples": 4500,
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"dataset_name": null
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}
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},
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"download_size": 44642,
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"dataset_size": 1036845,
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"size_in_bytes": 1081487
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}
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}
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