Add principle_A_domain_1 data files

README.md

@@ -1304,10 +1304,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 172565
+    num_bytes: 171170
     num_examples: 1000
-  download_size: 499865
-  dataset_size: 172565
+  download_size: 59120
+  dataset_size: 171170
 - config_name: principle_A_domain_2
   features:
   - name: sentence_good
@@ -2077,6 +2077,10 @@ configs:
   data_files:
   - split: train
     path: principle_A_case_2/train-*
+- config_name: principle_A_domain_1
+  data_files:
+  - split: train
+    path: principle_A_domain_1/train-*
 ---
 
 # Dataset Card for "blimp"

dataset_infos.json

@@ -3067,62 +3067,50 @@
         "features": {
             "sentence_good": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "sentence_bad": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "field": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "linguistics_term": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "UID": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "simple_LM_method": {
                 "dtype": "bool",
-                "id": null,
                 "_type": "Value"
             },
             "one_prefix_method": {
                 "dtype": "bool",
-                "id": null,
                 "_type": "Value"
             },
             "two_prefix_method": {
                 "dtype": "bool",
-                "id": null,
                 "_type": "Value"
             },
             "lexically_identical": {
                 "dtype": "bool",
-                "id": null,
                 "_type": "Value"
             },
             "pair_id": {
                 "dtype": "int32",
-                "id": null,
                 "_type": "Value"
             }
         },
-        "supervised_keys": null,
         "builder_name": "blimp",
+        "dataset_name": "blimp",
         "config_name": "principle_A_domain_1",
         "version": {
             "version_str": "0.1.0",
-            "description": null,
-            "datasets_version_to_prepare": null,
             "major": 0,
             "minor": 1,
             "patch": 0
@@ -3130,20 +3118,14 @@
         "splits": {
             "train": {
                 "name": "train",
-                "num_bytes": 172565,
+                "num_bytes": 171170,
                 "num_examples": 1000,
-                "dataset_name": "blimp"
-            }
-        },
-        "download_checksums": {
-            "https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/principle_A_domain_1.jsonl": {
-                "num_bytes": 499865,
-                "checksum": "2276dc35a51396c7d11a401e378e0f4b31cd10d7916c73e9a361703cb96eddc5"
+                "dataset_name": null
             }
         },
-        "download_size": 499865,
-        "dataset_size": 172565,
-        "size_in_bytes": 672430
+        "download_size": 59120,
+        "dataset_size": 171170,
+        "size_in_bytes": 230290
     },
     "principle_A_domain_2": {
         "description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n",

principle_A_domain_1/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5efcec2af824973d3eca500ee3591d444b5cc56569394c7bb1e0fb8a95efcd35
+size 59120