add arxiv link

.gitattributes

@@ -70,3 +70,18 @@ data/tweet_similarity/validation.jsonl filter=lfs diff=lfs merge=lfs -text
 data/tempo_wic/test.jsonl filter=lfs diff=lfs merge=lfs -text
 data/tempo_wic/train.jsonl filter=lfs diff=lfs merge=lfs -text
 data/tempo_wic/validation.jsonl filter=lfs diff=lfs merge=lfs -text
+data/tweet_sentiment/train.jsonl filter=lfs diff=lfs merge=lfs -text
+data/tweet_emoji/validation.jsonl filter=lfs diff=lfs merge=lfs -text
+data/tweet_hate/test.jsonl filter=lfs diff=lfs merge=lfs -text
+data/tweet_hate/validation.jsonl filter=lfs diff=lfs merge=lfs -text
+data/tweet_nerd/test.jsonl filter=lfs diff=lfs merge=lfs -text
+data/tweet_hate/train.jsonl filter=lfs diff=lfs merge=lfs -text
+data/tweet_sentiment/validation.jsonl filter=lfs diff=lfs merge=lfs -text
+data/tweet_qg/test.jsonl filter=lfs diff=lfs merge=lfs -text
+data/tweet_qg/validation.jsonl filter=lfs diff=lfs merge=lfs -text
+data/tweet_sentiment/test.jsonl filter=lfs diff=lfs merge=lfs -text
+data/tweet_qg/train.jsonl filter=lfs diff=lfs merge=lfs -text
+data/tweet_emoji/test.jsonl filter=lfs diff=lfs merge=lfs -text
+data/tweet_emoji/train.jsonl filter=lfs diff=lfs merge=lfs -text
+data/tweet_nerd/train.jsonl filter=lfs diff=lfs merge=lfs -text
+data/tweet_nerd/validation.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -65,6 +65,12 @@ The data fields are the same among all splits.
 - `paragraph`: a `string` feature.
 - `question`: a `string` feature.
 
+#### tweet_qg
+- `text`: a `string` feature.
+- `gold_label_str`: a `string` feature.
+- `paragraph`: a `string` feature.
+- `question`: a `string` feature.
+
 #### tweet_intimacy
 - `text`: a `string` feature.
 - `gold_score`: a `float` feature.

data/tweet_qg/test.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d2b02c79ec163bd4a8ee05e46ffaea70c9ea96070ce67a1dca2d8028bab52213
+size 320488

data/tweet_qg/train.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3cd6950868c41cd4be64dcb06b768c7dcfc11571458d5fc79191381f4ceff842
+size 2500353

data/tweet_qg/validation.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:af4cac74767d116125883d61c8a3153d7ef311f8a2afe09ce4bbd71a7cf26905
+size 283333

process/tweet_qg.py

@@ -0,0 +1,29 @@
+import os
+import json
+from datasets import load_dataset
+
+os.makedirs("data/tweet_qg", exist_ok=True)
+data = load_dataset("lmqg/qg_tweetqa")
+
+
+def process(tmp):
+    tmp = [i.to_dict() for _, i in tmp.iterrows()]
+    for i in tmp:
+        i.pop('paragraph_question')
+        i['text'] = f"context: {i.pop('paragraph')}, answer:{i.pop('answer')}"
+        i['gold_label_str'] = i.pop('question')
+    return tmp
+
+
+train = process(data["train"].to_pandas())
+val = process(data["validation"].to_pandas())
+test = process(data["test"].to_pandas())
+with open("data/tweet_qg/train.jsonl", "w") as f:
+    f.write("\n".join([json.dumps(i) for i in train]))
+with open("data/tweet_qg/validation.jsonl", "w") as f:
+    f.write("\n".join([json.dumps(i) for i in val]))
+with open("data/tweet_qg/test.jsonl", "w") as f:
+    f.write("\n".join([json.dumps(i) for i in test]))
+
+
+

super_tweet_eval.py → super_tweeteval.py

@@ -2,9 +2,9 @@
 import json
 import datasets
 
-_VERSION = "0.1.40"
-_SUPER_TWEET_EVAL_CITATION = """TBA"""
-_SUPER_TWEET_EVAL_DESCRIPTION = """TBA"""
+_VERSION = "0.1.41"
+_SUPER_TWEETEVAL_CITATION = """TBA"""
+_SUPER_TWEETEVAL_DESCRIPTION = """TBA"""
 _TWEET_TOPIC_DESCRIPTION = """
 TweetTopic is a multi-label twitter topic classification task, where each example consists of a tweet 
 and a set of topics. One tweet can be associated with multiple topics, and the training/validation tweets are taken 
@@ -312,9 +312,9 @@ class SuperTweetEval(datasets.GeneratorBasedBuilder):
 
 
         return datasets.DatasetInfo(
-            description=_SUPER_TWEET_EVAL_DESCRIPTION + "\n" + self.config.description,
+            description=_SUPER_TWEETEVAL_DESCRIPTION + "\n" + self.config.description,
             features=datasets.Features(features),
-            citation=self.config.citation + "\n" + _SUPER_TWEET_EVAL_CITATION,
+            citation=self.config.citation + "\n" + _SUPER_TWEETEVAL_CITATION,
         )
 
     def _split_generators(self, dl_manager):