init

.gitattributes

@@ -511,3 +511,7 @@ data/tweet_sentiment_small_test2_seed1/train.jsonl filter=lfs diff=lfs merge=lfs
 data/tweet_sentiment_small_test2_seed1/validation.jsonl filter=lfs diff=lfs merge=lfs -text
 data/tweet_sentiment_small_test3_seed0/validation.jsonl filter=lfs diff=lfs merge=lfs -text
 data/tweet_sentiment_small_test3_seed1/train.jsonl filter=lfs diff=lfs merge=lfs -text
+data/tweet_sentiment_small/test_1.jsonl filter=lfs diff=lfs merge=lfs -text
+data/tweet_sentiment_small/test_2.jsonl filter=lfs diff=lfs merge=lfs -text
+data/tweet_sentiment_small/test_3.jsonl filter=lfs diff=lfs merge=lfs -text
+data/tweet_sentiment_small/test_4.jsonl filter=lfs diff=lfs merge=lfs -text

data/tweet_sentiment_small/test_1.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:09b915a486b09ab99730b2177ed285467e9db60f2c782768411d241d28f50a21
+size 47187

data/tweet_sentiment_small/test_2.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1bf7c917640a83060e28a6450999bca55da3fead2a522993c1c721380700ffc3
+size 47265

data/tweet_sentiment_small/test_3.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:26bdf025b4e171101f303be4dcead3e75e5e7461124132abaab9ed7bdc6ac3c7
+size 47824

data/tweet_sentiment_small/test_4.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:395be43c04fa28853568e1c0771e450e0aac1dfaf55b986ed77cde76662fb51e
+size 46171

process/tweet_sentiment_small.py

@@ -23,6 +23,16 @@ with open("data/tweet_sentiment/validation.jsonl") as f:
 os.makedirs(f"data/tweet_sentiment_small", exist_ok=True)
 with open(f"data/tweet_sentiment_small/test.jsonl", "w") as f:
     f.write("\n".join([json.dumps(i) for i in test]))
+
+with open(f"data/tweet_sentiment_small/test_1.jsonl", "w") as f:
+    f.write("\n".join([json.dumps(i) for i in test_1]))
+with open(f"data/tweet_sentiment_small/test_2.jsonl", "w") as f:
+    f.write("\n".join([json.dumps(i) for i in test_2]))
+with open(f"data/tweet_sentiment_small/test_3.jsonl", "w") as f:
+    f.write("\n".join([json.dumps(i) for i in test_3]))
+with open(f"data/tweet_sentiment_small/test_4.jsonl", "w") as f:
+    f.write("\n".join([json.dumps(i) for i in test_4]))
+
 with open(f"data/tweet_sentiment_small/validation.jsonl", "w") as f:
     f.write("\n".join([json.dumps(i) for i in validation]))
 

statistics.py

@@ -5,7 +5,7 @@ from transformers import AutoTokenizer
 
 tokenizer = AutoTokenizer.from_pretrained("roberta-base")
 stats = []
-for i in ["nerd_temporal", "ner_temporal", "topic_temporal", "sentiment_temporal"]:
+for i in ["nerd_temporal", "ner_temporal", "topic_temporal", "sentiment_small_temporal"]:
     for s in ["train", "validation", "test"]:
         dataset = load_dataset("tweettemposhift/tweet_temporal_shift", i, split=s)
         df = dataset.to_pandas()