Add 'ade_corpus_v2' config data files

.gitattributes

@@ -16,3 +16,4 @@
 *.pth filter=lfs diff=lfs merge=lfs -text
 data/ filter=lfs diff=lfs merge=lfs -text
 tai_safety_research/test-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text
+ade_corpus_v2/test-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text

README.md

@@ -24,7 +24,29 @@ pretty_name: 'Real-world Annotated Few-shot Tasks: RAFT'
 language_bcp47:
 - en-US
 dataset_info:
-  config_name: tai_safety_research
+- config_name: ade_corpus_v2
+  features:
+  - name: Sentence
+    dtype: string
+  - name: ID
+    dtype: int32
+  - name: Label
+    dtype:
+      class_label:
+        names:
+          '0': Unlabeled
+          '1': ADE-related
+          '2': not ADE-related
+  splits:
+  - name: train
+    num_bytes: 7602
+    num_examples: 50
+  - name: test
+    num_bytes: 709087
+    num_examples: 5000
+  download_size: 445823
+  dataset_size: 716689
+- config_name: tai_safety_research
   features:
   - name: Title
     dtype: string
@@ -59,6 +81,12 @@ dataset_info:
   download_size: 948201
   dataset_size: 1689786
 configs:
+- config_name: ade_corpus_v2
+  data_files:
+  - split: train
+    path: ade_corpus_v2/train-*
+  - split: test
+    path: ade_corpus_v2/test-*
 - config_name: tai_safety_research
   data_files:
   - split: train

ade_corpus_v2/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c055dd1a097d6062b4d46d888a33153ff744517d7cef2dba43da713e7aa47ba6
+size 438199

dataset_infos.json

@@ -7,34 +7,26 @@
         "features": {
             "Sentence": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "ID": {
                 "dtype": "int32",
-                "id": null,
                 "_type": "Value"
             },
             "Label": {
-                "num_classes": 3,
                 "names": [
                     "Unlabeled",
                     "ADE-related",
                     "not ADE-related"
                 ],
-                "names_file": null,
-                "id": null,
                 "_type": "ClassLabel"
             }
         },
-        "post_processed": null,
-        "supervised_keys": null,
-        "task_templates": null,
-        "builder_name": "raft",
+        "builder_name": "parquet",
+        "dataset_name": "raft",
         "config_name": "ade_corpus_v2",
         "version": {
             "version_str": "1.1.0",
-            "description": null,
             "major": 1,
             "minor": 1,
             "patch": 0
@@ -42,111 +34,20 @@
         "splits": {
             "train": {
                 "name": "train",
-                "num_bytes": 7606,
+                "num_bytes": 7602,
                 "num_examples": 50,
-                "dataset_name": "raft"
+                "dataset_name": null
             },
             "test": {
                 "name": "test",
-                "num_bytes": 709091,
+                "num_bytes": 709087,
                 "num_examples": 5000,
-                "dataset_name": "raft"
-            }
-        },
-        "download_checksums": {
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-            },
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-                "checksum": "28981e898281755e1c2d460ab75cceb8f9d8ce0a88ff4636153cf8c393c6f99e"
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-        "dataset_size": 716697,
-        "size_in_bytes": 10468862
+        "download_size": 445823,
+        "dataset_size": 716689,
+        "size_in_bytes": 1162512
     },
     "banking_77": {
         "description": "Large pre-trained language models have shown promise for few-shot learning, completing text-based tasks given only a few task-specific examples. Will models soon solve classification tasks that have so far been reserved for human research assistants? \n\n[RAFT](https://raft.elicit.org) is a few-shot classification benchmark that tests language models:\n\n- across multiple domains (lit review, tweets, customer interaction, etc.)\n- on economically valuable classification tasks (someone inherently cares about the task)\n- in a setting that mirrors deployment (50 examples per task, info retrieval allowed, hidden test set)\n",