Add presupposition_both_presupposition data files

README.md

@@ -320,10 +320,10 @@ dataset_info:
     dtype: int16
   splits:
   - name: both_presupposition
-    num_bytes: 432792
+    num_bytes: 432760
     num_examples: 1900
-  download_size: 335088
-  dataset_size: 432792
+  download_size: 41142
+  dataset_size: 432760
 - config_name: presupposition_change_of_state
   features:
   - name: premise
@@ -560,6 +560,10 @@ configs:
   data_files:
   - split: all_n_presupposition
     path: presupposition_all_n_presupposition/all_n_presupposition-*
+- config_name: presupposition_both_presupposition
+  data_files:
+  - split: both_presupposition
+    path: presupposition_both_presupposition/both_presupposition-*
 ---
 
 # Dataset Card for IMPPRES

dataset_infos.json

@@ -79,68 +79,54 @@
         "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_both_presupposition",
         "version": {
             "version_str": "1.1.0",
-            "description": null,
             "major": 1,
             "minor": 1,
             "patch": 0
@@ -148,21 +134,14 @@
         "splits": {
             "both_presupposition": {
                 "name": "both_presupposition",
-                "num_bytes": 432792,
+                "num_bytes": 432760,
                 "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": 432792,
-        "size_in_bytes": 767880
+        "download_size": 41142,
+        "dataset_size": 432760,
+        "size_in_bytes": 473902
     },
     "presupposition_change_of_state": {
         "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_both_presupposition/both_presupposition-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2556f0b3980aa715d292f7d2513e8473d7d63e8631064526a706259f067d2b86
+size 41142