upload the next config

README.md

@@ -149,6 +149,44 @@ dataset_info:
     num_examples: 128
   download_size: 138271185
   dataset_size: 153709976.342
+- config_name: explanation_3
+  features:
+  - name: image
+    dtype: image
+  - name: contest_number
+    dtype: int32
+  - name: image_location
+    dtype: string
+  - name: image_description
+    dtype: string
+  - name: image_uncanny_description
+    dtype: string
+  - name: entities
+    sequence: string
+  - name: questions
+    sequence: string
+  - name: caption_choices
+    dtype: string
+  - name: from_description
+    dtype: string
+  - name: label
+    dtype: string
+  - name: n_tokens_label
+    dtype: int32
+  - name: instance_id
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 138247435.342
+    num_examples: 2334
+  - name: validation
+    num_bytes: 7911920.0
+    num_examples: 130
+  - name: test
+    num_bytes: 7460490.0
+    num_examples: 132
+  download_size: 136862726
+  dataset_size: 153619845.342
 - config_name: explanation_from_pixels
   features:
   - name: image
@@ -780,6 +818,14 @@ configs:
     path: explanation_2/validation-*
   - split: test
     path: explanation_2/test-*
+- config_name: explanation_3
+  data_files:
+  - split: train
+    path: explanation_3/train-*
+  - split: validation
+    path: explanation_3/validation-*
+  - split: test
+    path: explanation_3/test-*
 - config_name: explanation_from_pixels
   data_files:
   - split: train

dataset_infos.json

@@ -1802,84 +1802,64 @@
         "license": "",
         "features": {
             "image": {
-                "decode": true,
-                "id": null,
                 "_type": "Image"
             },
             "contest_number": {
                 "dtype": "int32",
-                "id": null,
                 "_type": "Value"
             },
             "image_location": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "image_description": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "image_uncanny_description": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "entities": {
                 "feature": {
                     "dtype": "string",
-                    "id": null,
                     "_type": "Value"
                 },
-                "length": -1,
-                "id": null,
                 "_type": "Sequence"
             },
             "questions": {
                 "feature": {
                     "dtype": "string",
-                    "id": null,
                     "_type": "Value"
                 },
-                "length": -1,
-                "id": null,
                 "_type": "Sequence"
             },
             "caption_choices": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "from_description": {
                 "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_3",
         "version": {
             "version_str": "1.0.0",
-            "description": null,
             "major": 1,
             "minor": 0,
             "patch": 0
@@ -1887,37 +1867,26 @@
         "splits": {
             "train": {
                 "name": "train",
-                "num_bytes": 3072628,
+                "num_bytes": 138247435.342,
                 "num_examples": 2334,
-                "dataset_name": "newyorker_caption_contest"
+                "dataset_name": null
             },
             "validation": {
                 "name": "validation",
-                "num_bytes": 158611,
+                "num_bytes": 7911920.0,
                 "num_examples": 130,
-                "dataset_name": "newyorker_caption_contest"
+                "dataset_name": null
             },
             "test": {
                 "name": "test",
-                "num_bytes": 163651,
+                "num_bytes": 7460490.0,
                 "num_examples": 132,
-                "dataset_name": "newyorker_caption_contest"
-            }
-        },
-        "download_checksums": {
-            "https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/huggingface_hub/v1.0/explanation_3.zip": {
-                "num_bytes": 860977,
-                "checksum": "0d09e7c18ac10259f5fc0a7e79bdb2ead04debf8ce65d1da1b90f721cc6daaad"
-            },
-            "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": 40384186,
-        "post_processing_size": null,
-        "dataset_size": 3394890,
-        "size_in_bytes": 43779076
+        "download_size": 136862726,
+        "dataset_size": 153619845.342,
+        "size_in_bytes": 290482571.342
     },
     "explanation_from_pixels_3": {
         "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",

explanation_3/test-00000-of-00001.parquet

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explanation_3/train-00000-of-00001.parquet

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explanation_3/validation-00000-of-00001.parquet

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