Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
sentiment-classification
Languages:
Bengali
Size:
10K - 100K
License:
Upload dataset_infos.json
Browse files- dataset_infos.json +50 -0
dataset_infos.json
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{
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"plain_text": {
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"description": "Social Media User Comment Sentiment Analysis Dataset. Each user comments are labeled with either positive (1), negative (2), or neutral (0).",
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"citation": "@inproceedings{islam2021sentnob,\n title={SentNoB: A Dataset for Analysing Sentiment on Noisy Bangla Texts},\n author={Islam, Khondoker Ittehadul and Kar, Sudipta and Islam, Md Saiful and Amin, Mohammad Ruhul},\n booktitle={Findings of the Association for Computational Linguistics: EMNLP 2021},\n pages={3265--3271},\n year={2021}\n}",
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"homepage": "https://github.com/KhondokerIslam/SentNoB",
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"license": "",
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"features": {
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"Data": {
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"dtype": "string"
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},
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"Label": {
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"num_classes": 3,
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"names": [
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"neutral",
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"positive",
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"negative"
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]
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}
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},
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"builder_name": "SentNoB",
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"config_name": "plain_text",
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"version": {
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"version_str": "1.0.0",
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"description": "",
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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": 2650000,
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"num_examples": 12575,
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"dataset_name": "SentNoB"
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},
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"test": {
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"name": "test",
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"num_bytes": 334210,
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"num_examples": 1586,
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"dataset_name": "SentNoB"
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},
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"val": {
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"name": "val",
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"num_bytes": 345800,
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"num_examples": 1567,
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"dataset_name": "SentNoB"
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}
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}
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}
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}
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