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Delete legacy JSON metadata (#2)

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- Delete legacy JSON metadata (b1afe3e20e25da34a77a61521857740a00f13e22)

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  1. dataset_infos.json +0 -1
dataset_infos.json DELETED
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- {"subtask5.english": {"description": " SemEval-2018 Task 1: Affect in Tweets: SubTask 5: Emotion Classification.\n This is a dataset for multilabel emotion classification for tweets.\n 'Given a tweet, classify it as 'neutral or no emotion' or as one, or more, of eleven given emotions that best represent the mental state of the tweeter.'\n It contains 22467 tweets in three languages manually annotated by crowdworkers using Best\u2013Worst Scaling.\n", "citation": "@InProceedings{SemEval2018Task1,\n author = {Mohammad, Saif M. and Bravo-Marquez, Felipe and Salameh, Mohammad and Kiritchenko, Svetlana},\n title = {SemEval-2018 {T}ask 1: {A}ffect in Tweets},\n booktitle = {Proceedings of International Workshop on Semantic Evaluation (SemEval-2018)},\n address = {New Orleans, LA, USA},\n year = {2018}}\n", "homepage": "https://competitions.codalab.org/competitions/17751", "license": "", "features": {"ID": {"dtype": "string", "id": null, "_type": "Value"}, "Tweet": {"dtype": "string", "id": 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6838, "dataset_name": "sem_eval2018_task1"}, "test": {"name": "test", "num_bytes": 384519, "num_examples": 3259, "dataset_name": "sem_eval2018_task1"}, "validation": {"name": "validation", "num_bytes": 104660, "num_examples": 886, "dataset_name": "sem_eval2018_task1"}}, "download_checksums": {"https://saifmohammad.com/WebDocs/AIT-2018/AIT2018-DATA/SemEval2018-Task1-all-data.zip": {"num_bytes": 5975590, "checksum": "8979a6ca0bd259ef375a44d812fd434efa799c66bc377e25cda599aa767640eb"}}, "download_size": 5975590, "post_processing_size": null, "dataset_size": 1298947, "size_in_bytes": 7274537}, "subtask5.spanish": {"description": " SemEval-2018 Task 1: Affect in Tweets: SubTask 5: Emotion Classification.\n This is a dataset for multilabel emotion classification for tweets.\n 'Given a tweet, classify it as 'neutral or no emotion' or as one, or more, of eleven given emotions that best represent the mental state of the tweeter.'\n It contains 22467 tweets in three languages manually annotated by crowdworkers using Best\u2013Worst Scaling.\n", "citation": "@InProceedings{SemEval2018Task1,\n author = {Mohammad, Saif M. and Bravo-Marquez, Felipe and Salameh, Mohammad and Kiritchenko, Svetlana},\n title = {SemEval-2018 {T}ask 1: {A}ffect in Tweets},\n booktitle = {Proceedings of International Workshop on Semantic Evaluation (SemEval-2018)},\n address = {New Orleans, LA, USA},\n year = {2018}}\n", "homepage": "https://competitions.codalab.org/competitions/17751", "license": "", "features": {"ID": {"dtype": "string", "id": null, "_type": "Value"}, "Tweet": {"dtype": "string", "id": null, "_type": "Value"}, "anger": {"dtype": "bool", "id": null, "_type": "Value"}, "anticipation": {"dtype": "bool", "id": null, "_type": "Value"}, "disgust": {"dtype": "bool", "id": null, "_type": "Value"}, "fear": {"dtype": "bool", "id": null, "_type": "Value"}, "joy": {"dtype": "bool", "id": null, "_type": "Value"}, "love": {"dtype": "bool", "id": null, "_type": "Value"}, "optimism": {"dtype": "bool", "id": null, "_type": "Value"}, "pessimism": {"dtype": "bool", "id": null, "_type": "Value"}, "sadness": {"dtype": "bool", "id": null, "_type": "Value"}, "surprise": {"dtype": "bool", "id": null, "_type": "Value"}, "trust": {"dtype": "bool", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "sem_eval2018_task1", "config_name": "subtask5.spanish", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 362549, "num_examples": 3561, "dataset_name": "sem_eval2018_task1"}, "test": {"name": "test", "num_bytes": 288692, "num_examples": 2854, "dataset_name": "sem_eval2018_task1"}, "validation": {"name": "validation", "num_bytes": 67259, "num_examples": 679, "dataset_name": "sem_eval2018_task1"}}, "download_checksums": {"https://saifmohammad.com/WebDocs/AIT-2018/AIT2018-DATA/SemEval2018-Task1-all-data.zip": {"num_bytes": 5975590, "checksum": "8979a6ca0bd259ef375a44d812fd434efa799c66bc377e25cda599aa767640eb"}}, "download_size": 5975590, "post_processing_size": null, "dataset_size": 718500, "size_in_bytes": 6694090}, "subtask5.arabic": {"description": " SemEval-2018 Task 1: Affect in Tweets: SubTask 5: Emotion Classification.\n This is a dataset for multilabel emotion classification for tweets.\n 'Given a tweet, classify it as 'neutral or no emotion' or as one, or more, of eleven given emotions that best represent the mental state of the tweeter.'\n It contains 22467 tweets in three languages manually annotated by crowdworkers using Best\u2013Worst Scaling.\n", "citation": "@InProceedings{SemEval2018Task1,\n author = {Mohammad, Saif M. and Bravo-Marquez, Felipe and Salameh, Mohammad and Kiritchenko, Svetlana},\n title = {SemEval-2018 {T}ask 1: {A}ffect in Tweets},\n booktitle = {Proceedings of International Workshop on Semantic Evaluation (SemEval-2018)},\n address = {New Orleans, LA, USA},\n year = {2018}}\n", 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