Fix source data URL
#4
by
albertvillanova
HF staff
- opened
- dataset_infos.json +0 -1
- sentiment140.py +1 -1
dataset_infos.json
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{"sentiment140": {"description": "Sentiment140 consists of Twitter messages with emoticons, which are used as noisy labels for\nsentiment classification. For more detailed information please refer to the paper.\n", "citation": "@article{go2009twitter,\n title={Twitter sentiment classification using distant supervision},\n author={Go, Alec and Bhayani, Richa and Huang, Lei},\n journal={CS224N project report, Stanford},\n volume={1},\n number={12},\n pages={2009},\n year={2009}\n}\n", "homepage": "http://help.sentiment140.com/home", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "date": {"dtype": "string", "id": null, "_type": "Value"}, "user": {"dtype": "string", "id": null, "_type": "Value"}, "sentiment": {"dtype": "int32", "id": null, "_type": "Value"}, "query": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "sentiment140", "config_name": "sentiment140", "version": {"version_str": "1.0.0", "description": "", "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 73365, "num_examples": 498, "dataset_name": "sentiment140"}, "train": {"name": "train", "num_bytes": 225742946, "num_examples": 1600000, "dataset_name": "sentiment140"}}, "download_checksums": {"http://cs.stanford.edu/people/alecmgo/trainingandtestdata.zip": {"num_bytes": 81363704, "checksum": "004a3772c8a7ff9bbfeb875880f47f0679d93fc63e5cf9cff72d54a8a6162e57"}}, "download_size": 81363704, "dataset_size": 225816311, "size_in_bytes": 307180015}}
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sentiment140.py
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@@ -21,7 +21,7 @@ Sentiment140 consists of Twitter messages with emoticons, which are used as nois
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sentiment classification. For more detailed information please refer to the paper.
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"""
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_URL = "http://help.sentiment140.com/home"
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_DATA_URL = "
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_TEST_FILE_NAME = "testdata.manual.2009.06.14.csv"
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_TRAIN_FILE_NAME = "training.1600000.processed.noemoticon.csv"
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sentiment classification. For more detailed information please refer to the paper.
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"""
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_URL = "http://help.sentiment140.com/home"
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_DATA_URL = "https://cs.stanford.edu/people/alecmgo/trainingandtestdata.zip"
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_TEST_FILE_NAME = "testdata.manual.2009.06.14.csv"
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_TRAIN_FILE_NAME = "training.1600000.processed.noemoticon.csv"
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