Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
French
Size:
100K - 1M
License:
Commit
•
d623732
1
Parent(s):
56ded24
Delete legacy dataset_infos.json
Browse files- dataset_infos.json +0 -60
dataset_infos.json
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{
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"allocine": {
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"description": " Allocine Dataset: A Large-Scale French Movie Reviews Dataset.\n This is a dataset for binary sentiment classification, made of user reviews scraped from Allocine.fr.\n It contains 100k positive and 100k negative reviews divided into 3 balanced splits: train (160k reviews), val (20k) and test (20k).\n",
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"citation": "@misc{blard2019allocine,\n author = {Blard, Theophile},\n title = {french-sentiment-analysis-with-bert},\n year = {2020},\n publisher = {GitHub},\n journal = {GitHub repository},\n howpublished={\\url{https://github.com/TheophileBlard/french-sentiment-analysis-with-bert}},\n}\n",
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"homepage": "https://github.com/TheophileBlard/french-sentiment-analysis-with-bert",
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"license": "",
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"features": {
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"review": {
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"dtype": "string",
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"_type": "Value"
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},
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"label": {
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"names": [
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"neg",
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"pos"
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],
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"_type": "ClassLabel"
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}
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},
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"task_templates": [
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{
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"task": "text-classification",
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"text_column": "review",
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"label_column": "label"
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}
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],
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"builder_name": "allocine",
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"dataset_name": "allocine",
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"config_name": "allocine",
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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": 91330632,
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"num_examples": 160000,
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"dataset_name": null
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},
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"validation": {
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"name": "validation",
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"num_bytes": 11546242,
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"num_examples": 20000,
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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": 11547689,
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"num_examples": 20000,
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"dataset_name": null
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}
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},
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"download_size": 75125954,
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"dataset_size": 114424563,
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"size_in_bytes": 189550517
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}
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}
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