upload the next config

README.md

@@ -187,6 +187,44 @@ dataset_info:
     num_examples: 132
   download_size: 136862726
   dataset_size: 153619845.342
+- config_name: explanation_4
+  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: 141175335.3
+    num_examples: 2340
+  - name: validation
+    num_bytes: 6863533.0
+    num_examples: 131
+  - name: test
+    num_bytes: 7911920.0
+    num_examples: 130
+  download_size: 140501251
+  dataset_size: 155950788.3
 - config_name: explanation_from_pixels
   features:
   - name: image
@@ -984,6 +1022,14 @@ configs:
     path: explanation_3/validation-*
   - split: test
     path: explanation_3/test-*
+- config_name: explanation_4
+  data_files:
+  - split: train
+    path: explanation_4/train-*
+  - split: validation
+    path: explanation_4/validation-*
+  - split: test
+    path: explanation_4/test-*
 - config_name: explanation_from_pixels
   data_files:
   - split: train

dataset_infos.json

@@ -2290,84 +2290,64 @@
         "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_4",
         "version": {
             "version_str": "1.0.0",
-            "description": null,
             "major": 1,
             "minor": 0,
             "patch": 0
@@ -2375,37 +2355,26 @@
         "splits": {
             "train": {
                 "name": "train",
-                "num_bytes": 3084810,
+                "num_bytes": 141175335.3,
                 "num_examples": 2340,
-                "dataset_name": "newyorker_caption_contest"
+                "dataset_name": null
             },
             "validation": {
                 "name": "validation",
-                "num_bytes": 162089,
+                "num_bytes": 6863533.0,
                 "num_examples": 131,
-                "dataset_name": "newyorker_caption_contest"
+                "dataset_name": null
             },
             "test": {
                 "name": "test",
-                "num_bytes": 158611,
+                "num_bytes": 7911920.0,
                 "num_examples": 130,
-                "dataset_name": "newyorker_caption_contest"
-            }
-        },
-        "download_checksums": {
-            "https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/huggingface_hub/v1.0/explanation_4.zip": {
-                "num_bytes": 861773,
-                "checksum": "f5fcf62641a6c844a56ec0a79ec981977442535f197f9c407c3eb7c1a320252d"
-            },
-            "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": 40384982,
-        "post_processing_size": null,
-        "dataset_size": 3405510,
-        "size_in_bytes": 43790492
+        "download_size": 140501251,
+        "dataset_size": 155950788.3,
+        "size_in_bytes": 296452039.3
     },
     "explanation_from_pixels_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",

explanation_4/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b9acd1bf172a130a40184cbd14368b023580b2eeb53c08c8729fb8ee3df1919c
+size 7858107

explanation_4/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2ad07ab15b20d6bd76391b79d14627046e908a6b436e39725c5eb7555950d685
+size 125842169

explanation_4/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3497a125239c43027732cfce057f593e303201bb93ea327259aaecde5e481536
+size 6800975