Datasets:
Tasks:
Text Classification
Sub-tasks:
sentiment-classification
Languages:
Arabic
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
no-annotation
License:
Commit
•
3f22977
1
Parent(s):
659fd35
Delete legacy dataset_infos.json
Browse files- dataset_infos.json +0 -77
dataset_infos.json
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{
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"default": {
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"description": "ArSarcasm is a new Arabic sarcasm detection dataset.\nThe dataset was created using previously available Arabic sentiment analysis datasets (SemEval 2017 and ASTD)\n and adds sarcasm and dialect labels to them. The dataset contains 10,547 tweets, 1,682 (16%) of which are sarcastic.\n",
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"citation": "@inproceedings{abu-farha-magdy-2020-arabic,\n title = \"From {A}rabic Sentiment Analysis to Sarcasm Detection: The {A}r{S}arcasm Dataset\",\n author = \"Abu Farha, Ibrahim and Magdy, Walid\",\n booktitle = \"Proceedings of the 4th Workshop on Open-Source Arabic Corpora and Processing Tools, with a Shared Task on Offensive Language Detection\",\n month = may,\n year = \"2020\",\n address = \"Marseille, France\",\n publisher = \"European Language Resource Association\",\n url = \"https://www.aclweb.org/anthology/2020.osact-1.5\",\n pages = \"32--39\",\n language = \"English\",\n ISBN = \"979-10-95546-51-1\",\n}",
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"homepage": "https://github.com/iabufarha/ArSarcasm",
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"license": "MIT",
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"features": {
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"dialect": {
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"names": [
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"egypt",
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"gulf",
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"levant",
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"magreb",
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"msa"
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],
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"_type": "ClassLabel"
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},
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"sarcasm": {
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"names": [
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"non-sarcastic",
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"sarcastic"
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],
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"_type": "ClassLabel"
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},
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"sentiment": {
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"names": [
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"negative",
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"neutral",
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"positive"
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],
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"_type": "ClassLabel"
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},
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"original_sentiment": {
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"names": [
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"negative",
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"neutral",
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"positive"
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],
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"_type": "ClassLabel"
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},
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"tweet": {
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"dtype": "string",
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"_type": "Value"
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},
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"source": {
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"dtype": "string",
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"_type": "Value"
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}
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},
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"builder_name": "parquet",
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"dataset_name": "ar_sarcasm",
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"config_name": "default",
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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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"train": {
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"name": "train",
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"num_bytes": 1829159,
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"num_examples": 8437,
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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": 458210,
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"num_examples": 2110,
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"dataset_name": null
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}
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},
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"download_size": 1180619,
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"dataset_size": 2287369,
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"size_in_bytes": 3467988
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}
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}
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