Add sentiment data files

README.md

@@ -180,16 +180,16 @@ dataset_info:
           '2': positive
   splits:
   - name: train
-    num_bytes: 5425142
+    num_bytes: 5425122
     num_examples: 45615
   - name: test
-    num_bytes: 1279548
+    num_bytes: 1279540
     num_examples: 12284
   - name: validation
-    num_bytes: 239088
+    num_bytes: 239084
     num_examples: 2000
-  download_size: 6465841
-  dataset_size: 6943778
+  download_size: 4849675
+  dataset_size: 6943746
 - config_name: stance_abortion
   features:
   - name: text
@@ -346,6 +346,14 @@ configs:
     path: offensive/test-*
   - split: validation
     path: offensive/validation-*
+- config_name: sentiment
+  data_files:
+  - split: train
+    path: sentiment/train-*
+  - split: test
+    path: sentiment/test-*
+  - split: validation
+    path: sentiment/validation-*
 train-eval-index:
 - config: emotion
   task: text-classification

dataset_infos.json

@@ -282,28 +282,22 @@
         "features": {
             "text": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "label": {
-                "num_classes": 3,
                 "names": [
                     "negative",
                     "neutral",
                     "positive"
                 ],
-                "names_file": null,
-                "id": null,
                 "_type": "ClassLabel"
             }
         },
-        "post_processed": null,
-        "supervised_keys": null,
-        "builder_name": " tweet_eval",
+        "builder_name": "tweet_eval",
+        "dataset_name": "tweet_eval",
         "config_name": "sentiment",
         "version": {
             "version_str": "1.1.0",
-            "description": null,
             "major": 1,
             "minor": 1,
             "patch": 0
@@ -311,53 +305,26 @@
         "splits": {
             "train": {
                 "name": "train",
-                "num_bytes": 5425142,
+                "num_bytes": 5425122,
                 "num_examples": 45615,
-                "dataset_name": " tweet_eval"
+                "dataset_name": null
             },
             "test": {
                 "name": "test",
-                "num_bytes": 1279548,
+                "num_bytes": 1279540,
                 "num_examples": 12284,
-                "dataset_name": " tweet_eval"
+                "dataset_name": null
             },
             "validation": {
                 "name": "validation",
-                "num_bytes": 239088,
+                "num_bytes": 239084,
                 "num_examples": 2000,
-                "dataset_name": " tweet_eval"
-            }
-        },
-        "download_checksums": {
-            "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/sentiment/train_text.txt": {
-                "num_bytes": 4970029,
-                "checksum": "368f01052ea6fd8ffc408a2a2e6ac9669e31542581a0396ef16591ea26eb98a6"
-            },
-            "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/sentiment/train_labels.txt": {
-                "num_bytes": 91230,
-                "checksum": "122bfb1732fb6995b0e5c5f726c0ba457c469c3b6e60513007ce5037f23e65d4"
-            },
-            "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/sentiment/test_text.txt": {
-                "num_bytes": 1156877,
-                "checksum": "09a93a55c63fd93f97485ef7302889d7edb4091cd49733aa37da094f0bfa0675"
-            },
-            "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/sentiment/test_labels.txt": {
-                "num_bytes": 24568,
-                "checksum": "6afb4afe9374d1f983bcf9a7c79b108d0f37fdf020a83f30488309bed215db9d"
-            },
-            "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/sentiment/val_text.txt": {
-                "num_bytes": 219137,
-                "checksum": "e5b021e6fc45064c260b09814b803d8f56cada519c4d952d72f43d48a350a964"
-            },
-            "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/sentiment/val_labels.txt": {
-                "num_bytes": 4000,
-                "checksum": "b4566926c72e2e4e2916c864def94e76c4cdde52446af2c7ba4fc2006e057e51"
+                "dataset_name": null
             }
         },
-        "download_size": 6465841,
-        "post_processing_size": null,
-        "dataset_size": 6943778,
-        "size_in_bytes": 13409619
+        "download_size": 4849675,
+        "dataset_size": 6943746,
+        "size_in_bytes": 11793421
     },
     "stance_abortion": {
         "description": "TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.\n",

sentiment/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
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+oid sha256:f73aea52d43879223019e733b944780f7e9203ee32459ea006f554011379fcdf
+size 900553

sentiment/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
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+size 3781982

sentiment/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ba8e7513047d4991bcdcc0a22aaa70777e47b609f1b739da5117baf7893f3e56
+size 167140