upload the next config

README.md

@@ -923,6 +923,34 @@ dataset_info:
     num_examples: 531
   download_size: 133214495
   dataset_size: 159704877.26
+- config_name: ranking_from_pixels_4
+  features:
+  - name: image
+    dtype: image
+  - name: contest_number
+    dtype: int32
+  - name: caption_choices
+    sequence: string
+  - name: winner_source
+    dtype: string
+  - name: label
+    dtype: string
+  - name: n_tokens_label
+    dtype: int32
+  - name: instance_id
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 99008131.43
+    num_examples: 1571
+  - name: validation
+    num_bytes: 28550057.0
+    num_examples: 513
+  - name: test
+    num_bytes: 33718821.0
+    num_examples: 531
+  download_size: 136230399
+  dataset_size: 161277009.43
 configs:
 - config_name: explanation
   data_files:
@@ -1140,6 +1168,14 @@ configs:
     path: ranking_from_pixels_3/validation-*
   - split: test
     path: ranking_from_pixels_3/test-*
+- config_name: ranking_from_pixels_4
+  data_files:
+  - split: train
+    path: ranking_from_pixels_4/train-*
+  - split: validation
+    path: ranking_from_pixels_4/validation-*
+  - split: test
+    path: ranking_from_pixels_4/test-*
 ---
 
 # Dataset Card for New Yorker Caption Contest Benchmarks

dataset_infos.json

@@ -2220,54 +2220,41 @@
         "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"
             },
             "winner_source": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "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": "ranking_from_pixels_4",
         "version": {
             "version_str": "1.0.0",
-            "description": null,
             "major": 1,
             "minor": 0,
             "patch": 0
@@ -2275,37 +2262,26 @@
         "splits": {
             "train": {
                 "name": "train",
-                "num_bytes": 521623,
+                "num_bytes": 99008131.43,
                 "num_examples": 1571,
-                "dataset_name": "newyorker_caption_contest"
+                "dataset_name": null
             },
             "validation": {
                 "name": "validation",
-                "num_bytes": 169649,
+                "num_bytes": 28550057.0,
                 "num_examples": 513,
-                "dataset_name": "newyorker_caption_contest"
+                "dataset_name": null
             },
             "test": {
                 "name": "test",
-                "num_bytes": 177459,
+                "num_bytes": 33718821.0,
                 "num_examples": 531,
-                "dataset_name": "newyorker_caption_contest"
-            }
-        },
-        "download_checksums": {
-            "https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/huggingface_hub/v1.0/ranking_from_pixels_4.zip": {
-                "num_bytes": 203752,
-                "checksum": "79e83d153f410977e4cac58fc870ca0d9f8ae6e4748bfa21426dc57d66efd437"
-            },
-            "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": 39726961,
-        "post_processing_size": null,
-        "dataset_size": 868731,
-        "size_in_bytes": 40595692
+        "download_size": 136230399,
+        "dataset_size": 161277009.43,
+        "size_in_bytes": 297507408.43
     },
     "explanation_4": {
         "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 a caption that was written about it. You must autoregressively generate a joke explanation.\n",

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