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Delete legacy JSON metadata (#1)

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- Delete legacy JSON metadata (3bd826325bff6379574736fe019ce15c7a694888)

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  1. dataset_infos.json +0 -1
dataset_infos.json DELETED
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- {"default": {"description": "The researchers of OCLAR Marwan et al. (2019), they gathered Arabic costumer reviews from Google reviewsa and Zomato website \n( on wide scope of domain, including restaurants, hotels, hospitals, local shops, etc.\nThe corpus finally contains 3916 reviews in 5-rating scale. For this research purpose, the positive class considers\nrating stars from 5 to 3 of 3465 reviews, and the negative class is represented from values of 1 and 2 of about 451 texts.\n", "citation": "\n@misc{Dua:2019 ,\nauthor = \"Dua, Dheeru and Graff, Casey\",\nyear = \"2017\",\ntitle = \"{UCI} Machine Learning Repository\",\nurl = \"\",\ninstitution = \"University of California, Irvine, School of Information and Computer Sciences\" }\n\n@InProceedings{AlOmari2019oclar,\ntitle = {Sentiment Classifier: Logistic Regression for Arabic Services Reviews in Lebanon},\nauthors={Al Omari, M., Al-Hajj, M., Hammami, N., & Sabra, A.},\nyear={2019}\n}\n", "homepage": "", "license": "", "features": {"pagename": {"dtype": "string", "id": null, "_type": "Value"}, "review": {"dtype": "string", "id": null, "_type": "Value"}, "rating": {"dtype": "int8", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "oclar", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 398204, "num_examples": 3916, "dataset_name": "oclar"}}, "download_checksums": {"": {"num_bytes": 382976, "checksum": "78e0bc3d5accd737d3df45297f3f384a0238e2aa81006d546fa2cda92de12197"}}, "download_size": 382976, "post_processing_size": null, "dataset_size": 398204, "size_in_bytes": 781180}}