Add presupposition_possessed_definites_uniqueness data files

README.md

@@ -518,10 +518,10 @@ dataset_info:
     dtype: int16
   splits:
   - name: possessed_definites_uniqueness
-    num_bytes: 459403
+    num_bytes: 459371
     num_examples: 1900
-  download_size: 335088
-  dataset_size: 459403
+  download_size: 42068
+  dataset_size: 459371
 - config_name: presupposition_question_presupposition
   features:
   - name: premise
@@ -584,6 +584,10 @@ configs:
   data_files:
   - split: possessed_definites_existence
     path: presupposition_possessed_definites_existence/possessed_definites_existence-*
+- config_name: presupposition_possessed_definites_uniqueness
+  data_files:
+  - split: possessed_definites_uniqueness
+    path: presupposition_possessed_definites_uniqueness/possessed_definites_uniqueness-*
 ---
 
 # Dataset Card for IMPPRES

dataset_infos.json

@@ -511,68 +511,54 @@
         "features": {
             "premise": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "hypothesis": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "trigger": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "trigger1": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "trigger2": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "presupposition": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "gold_label": {
-                "num_classes": 3,
                 "names": [
                     "entailment",
                     "neutral",
                     "contradiction"
                 ],
-                "names_file": null,
-                "id": null,
                 "_type": "ClassLabel"
             },
             "UID": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "pairID": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "paradigmID": {
                 "dtype": "int16",
-                "id": null,
                 "_type": "Value"
             }
         },
-        "post_processed": null,
-        "supervised_keys": null,
-        "builder_name": "imppres",
+        "builder_name": "parquet",
+        "dataset_name": "imppres",
         "config_name": "presupposition_possessed_definites_uniqueness",
         "version": {
             "version_str": "1.1.0",
-            "description": null,
             "major": 1,
             "minor": 1,
             "patch": 0
@@ -580,21 +566,14 @@
         "splits": {
             "possessed_definites_uniqueness": {
                 "name": "possessed_definites_uniqueness",
-                "num_bytes": 459403,
+                "num_bytes": 459371,
                 "num_examples": 1900,
-                "dataset_name": "imppres"
-            }
-        },
-        "download_checksums": {
-            "https://github.com/facebookresearch/Imppres/blob/master/dataset/IMPPRES.zip?raw=true": {
-                "num_bytes": 335088,
-                "checksum": "f1f4ab03aec2248dcfbcb00b80e6099c592751cca2b542b208c6cf46f2926937"
+                "dataset_name": null
             }
         },
-        "download_size": 335088,
-        "post_processing_size": null,
-        "dataset_size": 459403,
-        "size_in_bytes": 794491
+        "download_size": 42068,
+        "dataset_size": 459371,
+        "size_in_bytes": 501439
     },
     "presupposition_question_presupposition": {
         "description": "Over >25k semiautomatically generated sentence pairs illustrating well-studied pragmatic inference types. IMPPRES is an NLI dataset following the format of SNLI (Bowman et al., 2015), MultiNLI (Williams et al., 2018) and XNLI (Conneau et al., 2018), which was created to evaluate how well trained NLI models recognize several classes of presuppositions and scalar implicatures.",

presupposition_possessed_definites_uniqueness/possessed_definites_uniqueness-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d6b2ee13a4e2605d1aaf33dd282a06c84f99b7a9261ce297871d48e4b9f48a1e
+size 42068