updated column names
Browse files- data/tempo_wic/test.jsonl +2 -2
- data/tempo_wic/train.jsonl +2 -2
- data/tempo_wic/validation.jsonl +2 -2
- data/tweet_nerd/test.jsonl +2 -2
- data/tweet_nerd/train.jsonl +2 -2
- data/tweet_nerd/validation.jsonl +2 -2
- super_tweeteval.py +4 -4
data/tempo_wic/test.jsonl
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data/tempo_wic/train.jsonl
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data/tempo_wic/validation.jsonl
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data/tweet_nerd/test.jsonl
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data/tweet_nerd/train.jsonl
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data/tweet_nerd/validation.jsonl
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super_tweeteval.py
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@@ -2,7 +2,7 @@
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import json
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import datasets
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_VERSION = "0.1.
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_SUPER_TWEETEVAL_CITATION = """TBA"""
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_SUPER_TWEETEVAL_DESCRIPTION = """TBA"""
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_TWEET_TOPIC_DESCRIPTION = """
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@@ -247,7 +247,7 @@ class SuperTweetEval(datasets.GeneratorBasedBuilder):
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name="tempo_wic",
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description=_TEMPO_WIC_DESCRIPTION,
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citation=_TEMPO_WIC_CITATION,
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features=['gold_label_binary', '
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'text_1', 'text_1_tokenized', 'text_start_1', 'text_end_1', 'date_1',
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'text_2', 'text_2_tokenized', 'text_start_2', 'text_end_2', 'date_2'],
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data_url="https://huggingface.co/datasets/cardiffnlp/super_tweet_eval/resolve/main/data/tempo_wic",
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@@ -263,7 +263,7 @@ class SuperTweetEval(datasets.GeneratorBasedBuilder):
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name="tweet_nerd",
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description=_TWEET_NERD_DESCRIPTION,
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citation=_TWEET_NERD_CITATION,
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features=['gold_label_binary', 'target', '
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'definition', 'text_start', 'text_end'],
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data_url="https://huggingface.co/datasets/cardiffnlp/super_tweet_eval/resolve/main/data/tweet_nerd",
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),
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@@ -333,7 +333,7 @@ class SuperTweetEval(datasets.GeneratorBasedBuilder):
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features["text"] = datasets.Value("string")
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if self.config.name == "tweet_nerd":
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features['target'] = datasets.Value("string")
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features['
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features['definition'] = datasets.Value("string")
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features['text_start'] = datasets.Value("int32")
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features['text_end'] = datasets.Value("int32")
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import json
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import datasets
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_VERSION = "0.1.53"
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_SUPER_TWEETEVAL_CITATION = """TBA"""
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_SUPER_TWEETEVAL_DESCRIPTION = """TBA"""
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_TWEET_TOPIC_DESCRIPTION = """
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name="tempo_wic",
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description=_TEMPO_WIC_DESCRIPTION,
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citation=_TEMPO_WIC_CITATION,
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features=['gold_label_binary', 'target',
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'text_1', 'text_1_tokenized', 'text_start_1', 'text_end_1', 'date_1',
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'text_2', 'text_2_tokenized', 'text_start_2', 'text_end_2', 'date_2'],
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data_url="https://huggingface.co/datasets/cardiffnlp/super_tweet_eval/resolve/main/data/tempo_wic",
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name="tweet_nerd",
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description=_TWEET_NERD_DESCRIPTION,
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citation=_TWEET_NERD_CITATION,
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features=['gold_label_binary', 'target', 'text',
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'definition', 'text_start', 'text_end'],
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data_url="https://huggingface.co/datasets/cardiffnlp/super_tweet_eval/resolve/main/data/tweet_nerd",
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),
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features["text"] = datasets.Value("string")
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if self.config.name == "tweet_nerd":
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features['target'] = datasets.Value("string")
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features['text'] = datasets.Value("string")
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features['definition'] = datasets.Value("string")
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features['text_start'] = datasets.Value("int32")
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features['text_end'] = datasets.Value("int32")
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