Add offensive data files

README.md

@@ -157,16 +157,16 @@ dataset_info:
           '1': offensive
   splits:
   - name: train
-    num_bytes: 1648069
+    num_bytes: 1648061
     num_examples: 11916
   - name: test
-    num_bytes: 135477
+    num_bytes: 135473
     num_examples: 860
   - name: validation
-    num_bytes: 192421
+    num_bytes: 192417
     num_examples: 1324
-  download_size: 1863383
-  dataset_size: 1975967
+  download_size: 1234528
+  dataset_size: 1975951
 - config_name: sentiment
   features:
   - name: text
@@ -338,6 +338,14 @@ configs:
     path: irony/test-*
   - split: validation
     path: irony/validation-*
+- config_name: offensive
+  data_files:
+  - split: train
+    path: offensive/train-*
+  - split: test
+    path: offensive/test-*
+  - split: validation
+    path: offensive/validation-*
 train-eval-index:
 - config: emotion
   task: text-classification

dataset_infos.json

@@ -231,27 +231,21 @@
         "features": {
             "text": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "label": {
-                "num_classes": 2,
                 "names": [
                     "non-offensive",
                     "offensive"
                 ],
-                "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": "offensive",
         "version": {
             "version_str": "1.1.0",
-            "description": null,
             "major": 1,
             "minor": 1,
             "patch": 0
@@ -259,53 +253,26 @@
         "splits": {
             "train": {
                 "name": "train",
-                "num_bytes": 1648069,
+                "num_bytes": 1648061,
                 "num_examples": 11916,
-                "dataset_name": " tweet_eval"
+                "dataset_name": null
             },
             "test": {
                 "name": "test",
-                "num_bytes": 135477,
+                "num_bytes": 135473,
                 "num_examples": 860,
-                "dataset_name": " tweet_eval"
+                "dataset_name": null
             },
             "validation": {
                 "name": "validation",
-                "num_bytes": 192421,
+                "num_bytes": 192417,
                 "num_examples": 1324,
-                "dataset_name": " tweet_eval"
-            }
-        },
-        "download_checksums": {
-            "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/offensive/train_text.txt": {
-                "num_bytes": 1529074,
-                "checksum": "78a7a32e38b10af7d8970b008bf17f661c8d0a90dad145fa0fa6a944669650db"
-            },
-            "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/offensive/train_labels.txt": {
-                "num_bytes": 23832,
-                "checksum": "c0b7d6ebdaa4ebcf6fc557ef1e775d92eda160218a0e3b1dd48eb8234dc892a6"
-            },
-            "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/offensive/test_text.txt": {
-                "num_bytes": 126921,
-                "checksum": "25b08c3333c26190f1023961c4508ec9aab24d4722b1a3ea7a6040724c120547"
-            },
-            "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/offensive/test_labels.txt": {
-                "num_bytes": 1720,
-                "checksum": "41d05a7aa0b01f5dafab21b95adb4f979cb4226c046ff315702774d10dac1605"
-            },
-            "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/offensive/val_text.txt": {
-                "num_bytes": 179188,
-                "checksum": "816f36d180c35f15a5104838cb73856a0bef42043482fe738f3481b06242a55c"
-            },
-            "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/offensive/val_labels.txt": {
-                "num_bytes": 2648,
-                "checksum": "ed2deb776bd1c52fb8221fadd3360e32d9dfe46842d78053528126e46363a258"
+                "dataset_name": null
             }
         },
-        "download_size": 1863383,
-        "post_processing_size": null,
-        "dataset_size": 1975967,
-        "size_in_bytes": 3839350
+        "download_size": 1234528,
+        "dataset_size": 1975951,
+        "size_in_bytes": 3210479
     },
     "sentiment": {
         "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",

offensive/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
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+oid sha256:15b87adaf1850d8e3e104be6240255813d48d776940be546ad353fee9fcfb099
+size 93731

offensive/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c2cb443cb5b956aa8578a6e18b2f9e50ce43217774e3cf171d53e16a1db81a3
+size 1019132

offensive/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1161b4e6cc7cbdaa667d4fc131f9be0ea3db755616126329dda7eb521cd88c36
+size 121665