init

README.md

@@ -81,15 +81,15 @@ The data fields are the same among all splits.
 - `word`: a `string` feature.
 - `text_1`: a `string` feature.
 - `text_tokenized_1`: a list of `string` feature.
-- `token_idx_1`: a `string` feature.
-- `text_start_1`: a `string` feature.
-- `text_end_1`: a `string` feature.
+- `token_idx_1`: a `int` feature.
+- `text_start_1`: a `int` feature.
+- `text_end_1`: a `int` feature.
 - `date_1`: a `string` feature.
 - `text_2`: a `string` feature.
 - `text_tokenized_2`: a list of `string` feature.
-- `token_idx_2`: a `string` feature.
-- `text_start_2`: a `string` feature.
-- `text_end_2`: a `string` feature.
+- `token_idx_2`: a `int` feature.
+- `text_start_2`: a `int` feature.
+- `text_end_2`: a `int` feature.
 - `date_2`: a `string` feature.
 
 
@@ -102,6 +102,7 @@ The data fields are the same among all splits.
 | tweet_qa         | generation                  | 9489 / 1086 / 1203    |
 | tweet_similarity | regression on two texts     | 450 / 100 / 450       |
 | tweet_topic      | multi-label classification  | 4585 / 573 / 1679     |
+| tempo_wic        | binary classification on two texts | 1427 / 395 / 1427     |
 
 ## Citation Information
 

super_tweet_eval.py

@@ -2,7 +2,7 @@
 import json
 import datasets
 
-_VERSION = "0.0.7"
+_VERSION = "0.0.8"
 _SUPER_TWEET_EVAL_CITATION = """TBA"""
 _SUPER_TWEET_EVAL_DESCRIPTION = """TBA"""
 _TWEET_TOPIC_DESCRIPTION = """
@@ -197,6 +197,12 @@ class SuperTweetEval(datasets.GeneratorBasedBuilder):
             features["label_float"] = datasets.Value("float32")
         if self.config.name == "tempo_wic":
             features["label_binary"] = datasets.Value("int32")
+            features["token_idx_1"] = datasets.Value("int32")
+            features["token_idx_2"] = datasets.Value("int32")
+            features["text_start_1"] = datasets.Value("int32")
+            features["text_start_2"] = datasets.Value("int32")
+            features["text_end_1"] = datasets.Value("int32")
+            features["text_end_2"] = datasets.Value("int32")
             features["text_1_tokenized"] = datasets.Sequence(datasets.Value("string"))
             features["text_2_tokenized"] = datasets.Sequence(datasets.Value("string"))