upload the second config

README.md

@@ -35,7 +35,7 @@ tags:
 - caption contest
 - new yorker
 dataset_info:
-  config_name: matching
+- config_name: matching
   features:
   - name: image
     dtype: image
@@ -73,6 +73,32 @@ dataset_info:
     num_examples: 528
   download_size: 594460072
   dataset_size: 682243641.36
+- config_name: matching_from_pixels
+  features:
+  - name: image
+    dtype: image
+  - name: contest_number
+    dtype: int32
+  - name: caption_choices
+    sequence: string
+  - name: label
+    dtype: string
+  - name: n_tokens_label
+    dtype: int32
+  - name: instance_id
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 101439044.384
+    num_examples: 1632
+  - name: validation
+    num_bytes: 33714551.0
+    num_examples: 531
+  - name: test
+    num_bytes: 29368704.0
+    num_examples: 528
+  download_size: 139733134
+  dataset_size: 164522299.384
 configs:
 - config_name: matching
   data_files:
@@ -82,6 +108,14 @@ configs:
     path: matching/validation-*
   - split: test
     path: matching/test-*
+- config_name: matching_from_pixels
+  data_files:
+  - split: train
+    path: matching_from_pixels/train-*
+  - split: validation
+    path: matching_from_pixels/validation-*
+  - split: test
+    path: matching_from_pixels/test-*
 ---
 
 # Dataset Card for New Yorker Caption Contest Benchmarks

dataset_infos.json

@@ -102,49 +102,37 @@
         "license": "",
         "features": {
             "image": {
-                "decode": true,
-                "id": null,
                 "_type": "Image"
             },
             "contest_number": {
                 "dtype": "int32",
-                "id": null,
                 "_type": "Value"
             },
             "caption_choices": {
                 "feature": {
                     "dtype": "string",
-                    "id": null,
                     "_type": "Value"
                 },
-                "length": -1,
-                "id": null,
                 "_type": "Sequence"
             },
             "label": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "n_tokens_label": {
                 "dtype": "int32",
-                "id": null,
                 "_type": "Value"
             },
             "instance_id": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             }
         },
-        "post_processed": null,
-        "supervised_keys": null,
-        "task_templates": null,
         "builder_name": "newyorker_caption_contest",
+        "dataset_name": "newyorker_caption_contest",
         "config_name": "matching_from_pixels",
         "version": {
             "version_str": "1.0.0",
-            "description": null,
             "major": 1,
             "minor": 0,
             "patch": 0
@@ -152,37 +140,26 @@
         "splits": {
             "train": {
                 "name": "train",
-                "num_bytes": 762740,
+                "num_bytes": 101439044.384,
                 "num_examples": 1632,
-                "dataset_name": "newyorker_caption_contest"
+                "dataset_name": null
             },
             "validation": {
                 "name": "validation",
-                "num_bytes": 244136,
+                "num_bytes": 33714551.0,
                 "num_examples": 531,
-                "dataset_name": "newyorker_caption_contest"
+                "dataset_name": null
             },
             "test": {
                 "name": "test",
-                "num_bytes": 243528,
+                "num_bytes": 29368704.0,
                 "num_examples": 528,
-                "dataset_name": "newyorker_caption_contest"
-            }
-        },
-        "download_checksums": {
-            "https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/huggingface_hub/v1.0/matching_from_pixels.zip": {
-                "num_bytes": 307725,
-                "checksum": "0ae2d1c3a2ddfc0873ef993247b1c184ade37ef2f72fb59984116d1696577bb1"
-            },
-            "https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/all_contest_images.zip": {
-                "num_bytes": 39523209,
-                "checksum": "741527b4ef7198d16cee42ae74eacbe239bcc7377f8b86811c27d627fdc77748"
+                "dataset_name": null
             }
         },
-        "download_size": 39830934,
-        "post_processing_size": null,
-        "dataset_size": 1250404,
-        "size_in_bytes": 41081338
+        "download_size": 139733134,
+        "dataset_size": 164522299.384,
+        "size_in_bytes": 304255433.384
     },
     "ranking": {
         "description": "There are 3 caption contest tasks, described in the paper. In the Matching multiple choice task, models must recognize a caption written about a cartoon (vs. options that were not). In the Quality Ranking task, models must evaluate the quality\nof that caption by scoring it more highly than a lower quality option from the same contest. In the Explanation Generation task, models must explain why the joke is funny.\nYou are given a cartoon and 2 captions. One of the captions was selected by crowd voting or New Yorker editors as high quality. You must select it.\n",

matching_from_pixels/test-00000-of-00001.parquet

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matching_from_pixels/train-00000-of-00001.parquet

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matching_from_pixels/validation-00000-of-00001.parquet

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