init

data/tweet_intimacy/test.jsonl

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+size 40914

data/tweet_intimacy/train.jsonl

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data/tweet_qa/test.jsonl

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data/tweet_similarity/test.jsonl

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data/tweet_similarity/validation.jsonl

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process/unify_sp_symbol.py

@@ -0,0 +1,44 @@
+import json
+import re
+
+from glob import glob
+
+# for i in glob("data/tweet_intimacy/*.jsonl"):
+#     with open(i) as f:
+#         data = [json.loads(j) for j in f.readlines()]
+#     for d in data:
+#         for c in ['text']:
+#             tmp = d[c]
+#             tmp = re.sub(r"\bhttp\b", "{{URL}}", tmp)
+#             tmp = re.sub(r"@user", "{{USERNAME}}", tmp)
+#             tmp = re.sub(r"(@[\S]+)", r"{\1@}", tmp)
+#             d[c] = tmp
+#
+#     with open(i, "w") as f:
+#         f.write("\n".join([json.dumps(j) for j in data]))
+
+# for i in glob("data/tweet_qa/*.jsonl"):
+#     with open(i) as f:
+#         data = [json.loads(j) for j in f.readlines()]
+#     for d in data:
+#         for c in ['text', "paragraph", "question", "label_str"]:
+#             tmp = d[c]
+#             tmp = re.sub(r"(@[\S]+)", r"{\1@}", tmp)
+#             tmp = tmp.replace(")@}", '@})')
+#             d[c] = tmp
+#
+#     with open(i, "w") as f:
+#         f.write("\n".join([json.dumps(j) for j in data]))
+
+for i in glob("data/tweet_similarity/*.jsonl"):
+    with open(i) as f:
+        data = [json.loads(j) for j in f.readlines()]
+    for d in data:
+        for c in ['text_1', "text_2"]:
+            tmp = d[c]
+            # tmp = re.sub(r"(@[\S]+)\b", r"{\1@}", tmp)
+            tmp = tmp.replace("{@user@}", "{{USERNAME}}")
+            d[c] = tmp
+
+    with open(i, "w") as f:
+        f.write("\n".join([json.dumps(j) for j in data]))

super_tweet_eval.py

@@ -2,7 +2,7 @@
 import json
 import datasets
 
-_VERSION = "0.0.1"
+_VERSION = "0.0.2"
 _SUPER_TWEET_EVAL_CITATION = """TBA"""
 _SUPER_TWEET_EVAL_DESCRIPTION = """TBA"""
 _TWEET_TOPIC_DESCRIPTION = """