upload the next config

README.md

@@ -443,6 +443,44 @@ dataset_info:
     num_examples: 540
   download_size: 571744845
   dataset_size: 684146869.53
+- config_name: matching_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
+    sequence: 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: 609696610.648
+    num_examples: 9702
+  - name: validation
+    num_bytes: 29813118.0
+    num_examples: 528
+  - name: test
+    num_bytes: 34829502.0
+    num_examples: 546
+  download_size: 592174904
+  dataset_size: 674339230.648
 - config_name: matching_from_pixels
   features:
   - name: image
@@ -916,6 +954,14 @@ configs:
     path: matching_3/validation-*
   - split: test
     path: matching_3/test-*
+- config_name: matching_4
+  data_files:
+  - split: train
+    path: matching_4/train-*
+  - split: validation
+    path: matching_4/validation-*
+  - split: test
+    path: matching_4/test-*
 - config_name: matching_from_pixels
   data_files:
   - split: train

dataset_infos.json

@@ -1958,89 +1958,67 @@
         "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": {
                 "feature": {
                     "dtype": "string",
-                    "id": null,
                     "_type": "Value"
                 },
-                "length": -1,
-                "id": null,
                 "_type": "Sequence"
             },
             "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": "matching_4",
         "version": {
             "version_str": "1.0.0",
-            "description": null,
             "major": 1,
             "minor": 0,
             "patch": 0
@@ -2048,37 +2026,26 @@
         "splits": {
             "train": {
                 "name": "train",
-                "num_bytes": 13402726,
+                "num_bytes": 609696610.648,
                 "num_examples": 9702,
-                "dataset_name": "newyorker_caption_contest"
+                "dataset_name": null
             },
             "validation": {
                 "name": "validation",
-                "num_bytes": 687942,
+                "num_bytes": 29813118.0,
                 "num_examples": 528,
-                "dataset_name": "newyorker_caption_contest"
+                "dataset_name": null
             },
             "test": {
                 "name": "test",
-                "num_bytes": 706095,
+                "num_bytes": 34829502.0,
                 "num_examples": 546,
-                "dataset_name": "newyorker_caption_contest"
-            }
-        },
-        "download_checksums": {
-            "https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/huggingface_hub/v1.0/matching_4.zip": {
-                "num_bytes": 3339066,
-                "checksum": "3f8f072087ba28a0a49c4ed068eef17dd41f8737a7f690c850c36efcb3d6441e"
-            },
-            "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": 42862275,
-        "post_processing_size": null,
-        "dataset_size": 14796763,
-        "size_in_bytes": 57659038
+        "download_size": 592174904,
+        "dataset_size": 674339230.648,
+        "size_in_bytes": 1266514134.648
     },
     "matching_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 5 captions. Only one of the captions was truly written about the cartoon. You must select it.\n",

matching_4/test-00000-of-00001.parquet

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matching_4/train-00000-of-00002.parquet

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matching_4/train-00001-of-00002.parquet

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matching_4/validation-00000-of-00001.parquet

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