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+ {"ia-bentebib--tweet_eval_sentiment_fr": {"description": "TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.\n", "citation": "@inproceedings{barbieri2020tweeteval,\n title={{TweetEval:Unified Benchmark and Comparative Evaluation for Tweet Classification}},\n author={Barbieri, Francesco and Camacho-Collados, Jose and Espinosa-Anke, Luis and Neves, Leonardo},\n booktitle={Proceedings of Findings of EMNLP},\n year={2020}\n}\n", "homepage": "https://github.com/cardiffnlp/tweeteval", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "labels": {"num_classes": 3, "names": ["negative", "neutral", "positive"], "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "tweet_eval", "config_name": "sentiment", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 5973804, "num_examples": 45615, "dataset_name": "tweet_eval_sentiment_fr"}, "test": {"name": "test", "num_bytes": 1428054, "num_examples": 12284, "dataset_name": "tweet_eval_sentiment_fr"}, "validation": {"name": "validation", "num_bytes": 263923, "num_examples": 2000, "dataset_name": "tweet_eval_sentiment_fr"}}, "download_checksums": null, "download_size": 5124572, "post_processing_size": null, "dataset_size": 7665781, "size_in_bytes": 12790353}}