Add light data files

README.md

@@ -84,13 +84,13 @@ dataset_info:
         sequence: string
   splits:
   - name: train
-    num_bytes: 2739732
+    num_bytes: 2739628
     num_examples: 10036
   - name: validation
-    num_bytes: 805808
+    num_bytes: 805756
     num_examples: 2002
-  download_size: 19700900
-  dataset_size: 3545540
+  download_size: 1777867
+  dataset_size: 3545384
 configs:
 - config_name: full
   data_files:
@@ -99,6 +99,12 @@ configs:
   - split: validation
     path: full/validation-*
   default: true
+- config_name: light
+  data_files:
+  - split: train
+    path: light/train-*
+  - split: validation
+    path: light/validation-*
 ---
 
 # Dataset Card for AmbigQA: Answering Ambiguous Open-domain Questions

dataset_infos.json

@@ -7,66 +7,50 @@
         "features": {
             "id": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "question": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "annotations": {
                 "feature": {
                     "type": {
                         "dtype": "string",
-                        "id": null,
                         "_type": "Value"
                     },
                     "answer": {
                         "feature": {
                             "dtype": "string",
-                            "id": null,
                             "_type": "Value"
                         },
-                        "length": -1,
-                        "id": null,
                         "_type": "Sequence"
                     },
                     "qaPairs": {
                         "feature": {
                             "question": {
                                 "dtype": "string",
-                                "id": null,
                                 "_type": "Value"
                             },
                             "answer": {
                                 "feature": {
                                     "dtype": "string",
-                                    "id": null,
                                     "_type": "Value"
                                 },
-                                "length": -1,
-                                "id": null,
                                 "_type": "Sequence"
                             }
                         },
-                        "length": -1,
-                        "id": null,
                         "_type": "Sequence"
                     }
                 },
-                "length": -1,
-                "id": null,
                 "_type": "Sequence"
             }
         },
-        "post_processed": null,
-        "supervised_keys": null,
-        "builder_name": "ambig_qa",
+        "builder_name": "parquet",
+        "dataset_name": "ambig_qa",
         "config_name": "light",
         "version": {
             "version_str": "1.0.0",
-            "description": null,
             "major": 1,
             "minor": 0,
             "patch": 0
@@ -74,31 +58,20 @@
         "splits": {
             "train": {
                 "name": "train",
-                "num_bytes": 2739732,
+                "num_bytes": 2739628,
                 "num_examples": 10036,
-                "dataset_name": "ambig_qa"
+                "dataset_name": null
             },
             "validation": {
                 "name": "validation",
-                "num_bytes": 805808,
+                "num_bytes": 805756,
                 "num_examples": 2002,
-                "dataset_name": "ambig_qa"
-            }
-        },
-        "download_checksums": {
-            "https://nlp.cs.washington.edu/ambigqa/data/ambignq_light.zip": {
-                "num_bytes": 1061383,
-                "checksum": "3f5dada69dec05cef1533a64945cd7bafde1aa94b0cdd6fa9a22f881206220db"
-            },
-            "https://nlp.cs.washington.edu/ambigqa/data/ambignq.zip": {
-                "num_bytes": 18639517,
-                "checksum": "e85cec5909f076c6f584322c7f05cae44dcacaec93758c110a26fcceaa8da0ce"
+                "dataset_name": null
             }
         },
-        "download_size": 19700900,
-        "post_processing_size": null,
-        "dataset_size": 3545540,
-        "size_in_bytes": 23246440
+        "download_size": 1777867,
+        "dataset_size": 3545384,
+        "size_in_bytes": 5323251
     },
     "full": {
         "description": "AmbigNQ, a dataset covering 14,042 questions from NQ-open, an existing open-domain QA benchmark. We find that over half of the questions in NQ-open are ambiguous. The types of ambiguity are diverse and sometimes subtle, many of which are only apparent after examining evidence provided by a very large text corpus.  AMBIGNQ, a dataset with\n14,042 annotations on NQ-OPEN questions containing diverse types of ambiguity.\nWe provide two distributions of our new dataset AmbigNQ: a full version with all annotation metadata and a light version with only inputs and outputs.\n",

light/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7876a94a06706dd904b32f66aa0883301c6b3906991cb5fb4db7d820f96a7c95
+size 1411343

light/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bdb0ad1c39e6df47372d38c9b82505d8d790053cd736d497fb7c387c2223121f
+size 366524