Add existential_there_subject_raising data files

README.md

@@ -744,10 +744,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 201458
+    num_bytes: 200063
     num_examples: 1000
-  download_size: 394453
-  dataset_size: 201458
+  download_size: 59519
+  dataset_size: 200063
 - config_name: expletive_it_object_raising
   features:
   - name: sentence_good
@@ -1997,6 +1997,10 @@ configs:
   data_files:
   - split: train
     path: existential_there_quantifiers_2/train-*
+- config_name: existential_there_subject_raising
+  data_files:
+  - split: train
+    path: existential_there_subject_raising/train-*
 ---
 
 # Dataset Card for "blimp"

dataset_infos.json

@@ -1707,62 +1707,50 @@
         "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": "existential_there_subject_raising",
         "version": {
             "version_str": "0.1.0",
-            "description": null,
-            "datasets_version_to_prepare": null,
             "major": 0,
             "minor": 1,
             "patch": 0
@@ -1770,20 +1758,14 @@
         "splits": {
             "train": {
                 "name": "train",
-                "num_bytes": 201458,
+                "num_bytes": 200063,
                 "num_examples": 1000,
-                "dataset_name": "blimp"
-            }
-        },
-        "download_checksums": {
-            "https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/existential_there_subject_raising.jsonl": {
-                "num_bytes": 394453,
-                "checksum": "7c6f5b13225f73a777755c1948beef5cfa31d135ae8a0e7ba8853d256fbece23"
+                "dataset_name": null
             }
         },
-        "download_size": 394453,
-        "dataset_size": 201458,
-        "size_in_bytes": 595911
+        "download_size": 59519,
+        "dataset_size": 200063,
+        "size_in_bytes": 259582
     },
     "expletive_it_object_raising": {
         "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",

existential_there_subject_raising/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e281bf8a80a598b73f173f575003f6c3a7899143dd27412e18c06e5b561e171
+size 59519