upload the next config

README.md

@@ -73,6 +73,32 @@ dataset_info:
     num_examples: 131
   download_size: 139737042
   dataset_size: 148730932.64
+- config_name: explanation_from_pixels
+  features:
+  - name: image
+    dtype: image
+  - name: contest_number
+    dtype: int32
+  - name: caption_choices
+    dtype: string
+  - name: label
+    dtype: string
+  - name: n_tokens_label
+    dtype: int32
+  - name: instance_id
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 23039316.0
+    num_examples: 390
+  - name: validation
+    num_bytes: 7956182.0
+    num_examples: 130
+  - name: test
+    num_bytes: 6778892.0
+    num_examples: 131
+  download_size: 37552582
+  dataset_size: 37774390.0
 - config_name: matching
   features:
   - name: image
@@ -214,6 +240,14 @@ configs:
     path: explanation/validation-*
   - split: test
     path: explanation/test-*
+- config_name: explanation_from_pixels
+  data_files:
+  - split: train
+    path: explanation_from_pixels/train-*
+  - split: validation
+    path: explanation_from_pixels/validation-*
+  - split: test
+    path: explanation_from_pixels/test-*
 - config_name: matching
   data_files:
   - split: train

dataset_infos.json

@@ -431,44 +431,34 @@
         "license": "",
         "features": {
             "image": {
-                "decode": true,
-                "id": null,
                 "_type": "Image"
             },
             "contest_number": {
                 "dtype": "int32",
-                "id": null,
                 "_type": "Value"
             },
             "caption_choices": {
                 "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": "explanation_from_pixels",
         "version": {
             "version_str": "1.0.0",
-            "description": null,
             "major": 1,
             "minor": 0,
             "patch": 0
@@ -476,37 +466,26 @@
         "splits": {
             "train": {
                 "name": "train",
-                "num_bytes": 235831,
+                "num_bytes": 23039316.0,
                 "num_examples": 390,
-                "dataset_name": "newyorker_caption_contest"
+                "dataset_name": null
             },
             "validation": {
                 "name": "validation",
-                "num_bytes": 77283,
+                "num_bytes": 7956182.0,
                 "num_examples": 130,
-                "dataset_name": "newyorker_caption_contest"
+                "dataset_name": null
             },
             "test": {
                 "name": "test",
-                "num_bytes": 77448,
+                "num_bytes": 6778892.0,
                 "num_examples": 131,
-                "dataset_name": "newyorker_caption_contest"
-            }
-        },
-        "download_checksums": {
-            "https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/huggingface_hub/v1.0/explanation_from_pixels.zip": {
-                "num_bytes": 122918,
-                "checksum": "1c9c3a65bd255c7bccfbf394b266c781bb3762b4a318c5cff8f3da0bfeea75a7"
-            },
-            "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": 39646127,
-        "post_processing_size": null,
-        "dataset_size": 390562,
-        "size_in_bytes": 40036689
+        "download_size": 37552582,
+        "dataset_size": 37774390.0,
+        "size_in_bytes": 75326972.0
     },
     "matching_1": {
         "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 5 captions. Only one of the captions was truly written about the cartoon. You must select it.\n",

explanation_from_pixels/test-00000-of-00001.parquet

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explanation_from_pixels/train-00000-of-00001.parquet

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explanation_from_pixels/validation-00000-of-00001.parquet

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