init

process/tweet_qa.py

@@ -10,7 +10,7 @@ def process(tmp):
     tmp = [i.to_dict() for _, i in tmp.iterrows()]
     for i in tmp:
         i['text'] = i.pop('paragraph_question')
-        i['label_str'] = i.pop('answer')
+        i['gold_label_str'] = i.pop('answer')
     return tmp
 
 train = process(data["train"].to_pandas())

process/tweet_sim.py

@@ -4,7 +4,7 @@ import pandas as pd
 
 df = pd.read_csv("misc/tweet_sim.3anns-1k.tsv", sep="\t", index_col=None, header=None)
 tmp = [i.tolist() for i in df.values]
-tmp = [{"text_1": a, "text_2": b, "label_float": c} for a, b, c in tmp]
+tmp = [{"text_1": a, "text_2": b, "gold_score": c} for a, b, c in tmp]
 seed(42)
 shuffle(tmp)
 train = tmp[:450]

process/tweet_topic.py

@@ -10,7 +10,7 @@ def process(tmp):
     tmp.pop("label_name")
     tmp = [i.to_dict() for _, i in tmp.iterrows()]
     for i in tmp:
-        i['label_list'] = i.pop('label').tolist()
+        i['gold_label_list'] = i.pop('label').tolist()
     return tmp
 
 train = process(data["train_2020"].to_pandas())

process/unify_sp_symbol.py

@@ -3,42 +3,57 @@ 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]))
+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]))
+
+
+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].replace("{{URL}}", "@url")
+            # 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]))

process/unify_sp_symbol_2.py

@@ -1,44 +0,0 @@
-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].replace("{{URL}}", "@url")
-            # 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]))