Add irony data files

README.md

@@ -135,16 +135,16 @@ dataset_info:
           '1': irony
   splits:
   - name: train
-    num_bytes: 259191
+    num_bytes: 259187
     num_examples: 2862
   - name: test
-    num_bytes: 75901
+    num_bytes: 75897
     num_examples: 784
   - name: validation
-    num_bytes: 86021
+    num_bytes: 86017
     num_examples: 955
-  download_size: 385613
-  dataset_size: 421113
+  download_size: 297647
+  dataset_size: 421101
 - config_name: offensive
   features:
   - name: text
@@ -330,6 +330,14 @@ configs:
     path: hate/test-*
   - split: validation
     path: hate/validation-*
+- config_name: irony
+  data_files:
+  - split: train
+    path: irony/train-*
+  - split: test
+    path: irony/test-*
+  - split: validation
+    path: irony/validation-*
 train-eval-index:
 - config: emotion
   task: text-classification

dataset_infos.json

@@ -180,27 +180,21 @@
         "features": {
             "text": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "label": {
-                "num_classes": 2,
                 "names": [
                     "non_irony",
                     "irony"
                 ],
-                "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": "irony",
         "version": {
             "version_str": "1.1.0",
-            "description": null,
             "major": 1,
             "minor": 1,
             "patch": 0
@@ -208,53 +202,26 @@
         "splits": {
             "train": {
                 "name": "train",
-                "num_bytes": 259191,
+                "num_bytes": 259187,
                 "num_examples": 2862,
-                "dataset_name": " tweet_eval"
+                "dataset_name": null
             },
             "test": {
                 "name": "test",
-                "num_bytes": 75901,
+                "num_bytes": 75897,
                 "num_examples": 784,
-                "dataset_name": " tweet_eval"
+                "dataset_name": null
             },
             "validation": {
                 "name": "validation",
-                "num_bytes": 86021,
+                "num_bytes": 86017,
                 "num_examples": 955,
-                "dataset_name": " tweet_eval"
-            }
-        },
-        "download_checksums": {
-            "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/irony/train_text.txt": {
-                "num_bytes": 231594,
-                "checksum": "a888125a44f7dfaa25b026318748d0e62cc9a300d20f66eafd62011a19eaea23"
-            },
-            "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/irony/train_labels.txt": {
-                "num_bytes": 5724,
-                "checksum": "fc69e6106c0f1f433a91536e08f83c71a391d7b219f7684d42f243a8089af77d"
-            },
-            "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/irony/test_text.txt": {
-                "num_bytes": 68057,
-                "checksum": "53103da934a7308eee82f05f2a9781a8ea3e88604fdc1e02d3101108505c64be"
-            },
-            "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/irony/test_labels.txt": {
-                "num_bytes": 1568,
-                "checksum": "08e2095e1725e74907a380614c220204e356bb46e3e8c93deb74e83e5b15ab38"
-            },
-            "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/irony/val_text.txt": {
-                "num_bytes": 76760,
-                "checksum": "8806cf3793e300a485cfae34892fc3a0a2f9a183deb06c750c6531515c83051e"
-            },
-            "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/irony/val_labels.txt": {
-                "num_bytes": 1910,
-                "checksum": "ccf429f63b4e8d0e7f425ca09445f7c31f7cea8a1b7c283b015b117c4002fd07"
+                "dataset_name": null
             }
         },
-        "download_size": 385613,
-        "post_processing_size": null,
-        "dataset_size": 421113,
-        "size_in_bytes": 806726
+        "download_size": 297647,
+        "dataset_size": 421101,
+        "size_in_bytes": 718748
     },
     "offensive": {
         "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",

irony/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
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+oid sha256:d6bcf4eae70637cacc9239773684a37cbfa3ef98fde5f173355651afee477862
+size 53984

irony/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:541de8c14f53024660fa5ae1534489b51106c5f4905da294e47ded7e09d73ad0
+size 182571

irony/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2ac02a5943b02808f1998dfacba7fce89033be6b3e4bbb465a26faafabf21191
+size 61092