updated tweet_nerd
Browse files- data/tweet_nerd/test.jsonl +2 -2
- data/tweet_nerd/train.jsonl +2 -2
- data/tweet_nerd/validation.jsonl +2 -2
- super_tweeteval.py +3 -2
data/tweet_nerd/test.jsonl
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:d11734f8160308c26851e3070c58d62291af8aa3d55edfd2bc6ee21bdd843753
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size 5933384
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data/tweet_nerd/train.jsonl
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oid sha256:6bdf8ce78b0a514f5f9995dd50be3aae89417de2965d330461cd41bbe685679c
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size 5989468
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data/tweet_nerd/validation.jsonl
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:4cc8081863c8418af69feb35e3cd9b9884323b49ffd6d453e0b76a98e20432bf
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size 1177394
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super_tweeteval.py
CHANGED
@@ -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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@@ -264,7 +264,7 @@ class SuperTweetEval(datasets.GeneratorBasedBuilder):
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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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SuperTweetEvalConfig(
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@@ -338,6 +338,7 @@ class SuperTweetEval(datasets.GeneratorBasedBuilder):
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features['text_start'] = datasets.Value("int32")
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features['text_end'] = datasets.Value("int32")
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features['gold_label_binary'] = datasets.Value("int32")
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if self.config.name == "tweet_emoji":
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# download class mapping
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dl_manager = datasets.utils.download_manager.DownloadManager()
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import json
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import datasets
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_VERSION = "0.1.6"
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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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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', 'date'],
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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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SuperTweetEvalConfig(
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features['text_start'] = datasets.Value("int32")
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features['text_end'] = datasets.Value("int32")
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features['gold_label_binary'] = datasets.Value("int32")
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+
features['date'] = datasets.Value("string")
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if self.config.name == "tweet_emoji":
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# download class mapping
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dl_manager = datasets.utils.download_manager.DownloadManager()
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