Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
French
Size:
100K - 1M
License:
| { | |
| "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 | |
| } | |
| } |