Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
multi-class-classification
Languages:
Arabic
Size:
100K - 1M
License:
Commit
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2d36a9b
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Parent(s):
f020e27
Delete legacy JSON metadata
Browse filesDelete legacy `dataset_infos.json`.
- dataset_infos.json +0 -1
dataset_infos.json
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{"plain_text": {"description": "This dataset contains 93700 hotel reviews in Arabic language.The hotel reviews were collected from Booking.com website during June/July 2016.The reviews are expressed in Modern Standard Arabic as well as dialectal Arabic.The following table summarize some tatistics on the HARD Dataset.\n", "citation": "@incollection{elnagar2018hotel,\n title={Hotel Arabic-reviews dataset construction for sentiment analysis applications},\n author={Elnagar, Ashraf and Khalifa, Yasmin S and Einea, Anas},\n booktitle={Intelligent Natural Language Processing: Trends and Applications},\n pages={35--52},\n year={2018},\n publisher={Springer}\n}\n", "homepage": "https://github.com/elnagara/HARD-Arabic-Dataset", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 5, "names": ["1", "2", "3", "4", "5"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "text-classification", "text_column": "text", "label_column": "label", "labels": ["1", "2", "3", "4", "5"]}], "builder_name": "hard", "config_name": "plain_text", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 27507085, "num_examples": 105698, "dataset_name": "hard"}}, "download_checksums": {"https://raw.githubusercontent.com/elnagara/HARD-Arabic-Dataset/master/data/balanced-reviews.zip": {"num_bytes": 8508677, "checksum": "1939c1ca59ff50bd3887223b153c7fb5c9fd232b405320244c55791bc8b5d448"}}, "download_size": 8508677, "post_processing_size": null, "dataset_size": 27507085, "size_in_bytes": 36015762}}
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