Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
French
Size:
100K - 1M
License:
File size: 2,237 Bytes
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{
"allocine": {
"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",
"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",
"homepage": "https://github.com/TheophileBlard/french-sentiment-analysis-with-bert",
"license": "",
"features": {
"review": {
"dtype": "string",
"_type": "Value"
},
"label": {
"names": [
"neg",
"pos"
],
"_type": "ClassLabel"
}
},
"task_templates": [
{
"task": "text-classification",
"text_column": "review",
"label_column": "label"
}
],
"builder_name": "allocine",
"dataset_name": "allocine",
"config_name": "allocine",
"version": {
"version_str": "1.0.0",
"major": 1,
"minor": 0,
"patch": 0
},
"splits": {
"train": {
"name": "train",
"num_bytes": 91330632,
"num_examples": 160000,
"dataset_name": null
},
"validation": {
"name": "validation",
"num_bytes": 11546242,
"num_examples": 20000,
"dataset_name": null
},
"test": {
"name": "test",
"num_bytes": 11547689,
"num_examples": 20000,
"dataset_name": null
}
},
"download_size": 75125954,
"dataset_size": 114424563,
"size_in_bytes": 189550517
}
} |