severo HF staff commited on
Commit
4e3be89
1 Parent(s): 144f4e4

upload the next config

Browse files
README.md CHANGED
@@ -267,6 +267,46 @@ dataset_info:
267
  num_examples: 513
268
  download_size: 571604579
269
  dataset_size: 656147207.632
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
270
  - config_name: ranking_from_pixels
271
  features:
272
  - name: image
@@ -352,6 +392,14 @@ configs:
352
  path: ranking/validation-*
353
  - split: test
354
  path: ranking/test-*
 
 
 
 
 
 
 
 
355
  - config_name: ranking_from_pixels
356
  data_files:
357
  - split: train
 
267
  num_examples: 513
268
  download_size: 571604579
269
  dataset_size: 656147207.632
270
+ - config_name: ranking_1
271
+ features:
272
+ - name: image
273
+ dtype: image
274
+ - name: contest_number
275
+ dtype: int32
276
+ - name: image_location
277
+ dtype: string
278
+ - name: image_description
279
+ dtype: string
280
+ - name: image_uncanny_description
281
+ dtype: string
282
+ - name: entities
283
+ sequence: string
284
+ - name: questions
285
+ sequence: string
286
+ - name: caption_choices
287
+ sequence: string
288
+ - name: from_description
289
+ dtype: string
290
+ - name: winner_source
291
+ dtype: string
292
+ - name: label
293
+ dtype: string
294
+ - name: n_tokens_label
295
+ dtype: int32
296
+ - name: instance_id
297
+ dtype: string
298
+ splits:
299
+ - name: train
300
+ num_bytes: 580099188.9
301
+ num_examples: 9450
302
+ - name: validation
303
+ num_bytes: 35332200.0
304
+ num_examples: 534
305
+ - name: test
306
+ num_bytes: 32624105.0
307
+ num_examples: 507
308
+ download_size: 546559254
309
+ dataset_size: 648055493.9
310
  - config_name: ranking_from_pixels
311
  features:
312
  - name: image
 
392
  path: ranking/validation-*
393
  - split: test
394
  path: ranking/test-*
395
+ - config_name: ranking_1
396
+ data_files:
397
+ - split: train
398
+ path: ranking_1/train-*
399
+ - split: validation
400
+ path: ranking_1/validation-*
401
+ - split: test
402
+ path: ranking_1/test-*
403
  - config_name: ranking_from_pixels
404
  data_files:
405
  - split: train
dataset_infos.json CHANGED
@@ -656,94 +656,71 @@
656
  "license": "",
657
  "features": {
658
  "image": {
659
- "decode": true,
660
- "id": null,
661
  "_type": "Image"
662
  },
663
  "contest_number": {
664
  "dtype": "int32",
665
- "id": null,
666
  "_type": "Value"
667
  },
668
  "image_location": {
669
  "dtype": "string",
670
- "id": null,
671
  "_type": "Value"
672
  },
673
  "image_description": {
674
  "dtype": "string",
675
- "id": null,
676
  "_type": "Value"
677
  },
678
  "image_uncanny_description": {
679
  "dtype": "string",
680
- "id": null,
681
  "_type": "Value"
682
  },
683
  "entities": {
684
  "feature": {
685
  "dtype": "string",
686
- "id": null,
687
  "_type": "Value"
688
  },
689
- "length": -1,
690
- "id": null,
691
  "_type": "Sequence"
692
  },
693
  "questions": {
694
  "feature": {
695
  "dtype": "string",
696
- "id": null,
697
  "_type": "Value"
698
  },
699
- "length": -1,
700
- "id": null,
701
  "_type": "Sequence"
702
  },
703
  "caption_choices": {
704
  "feature": {
705
  "dtype": "string",
706
- "id": null,
707
  "_type": "Value"
708
  },
709
- "length": -1,
710
- "id": null,
711
  "_type": "Sequence"
712
  },
713
  "from_description": {
714
  "dtype": "string",
715
- "id": null,
716
  "_type": "Value"
717
  },
718
  "winner_source": {
719
  "dtype": "string",
720
- "id": null,
721
  "_type": "Value"
722
  },
723
  "label": {
724
  "dtype": "string",
725
- "id": null,
726
  "_type": "Value"
727
  },
728
  "n_tokens_label": {
729
  "dtype": "int32",
730
- "id": null,
731
  "_type": "Value"
732
  },
733
  "instance_id": {
734
  "dtype": "string",
735
- "id": null,
736
  "_type": "Value"
737
  }
738
  },
739
- "post_processed": null,
740
- "supervised_keys": null,
741
- "task_templates": null,
742
  "builder_name": "newyorker_caption_contest",
 
743
  "config_name": "ranking_1",
744
  "version": {
745
  "version_str": "1.0.0",
746
- "description": null,
747
  "major": 1,
748
  "minor": 0,
749
  "patch": 0
@@ -751,37 +728,26 @@
751
  "splits": {
752
  "train": {
753
  "name": "train",
754
- "num_bytes": 10360371,
755
  "num_examples": 9450,
756
- "dataset_name": "newyorker_caption_contest"
757
  },
758
  "validation": {
759
  "name": "validation",
760
- "num_bytes": 544050,
761
  "num_examples": 534,
762
- "dataset_name": "newyorker_caption_contest"
763
  },
764
  "test": {
765
  "name": "test",
766
- "num_bytes": 516533,
767
  "num_examples": 507,
768
- "dataset_name": "newyorker_caption_contest"
769
- }
770
- },
771
- "download_checksums": {
772
- "https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/huggingface_hub/v1.0/ranking_1.zip": {
773
- "num_bytes": 2415555,
774
- "checksum": "06858a8a18bdc6e5787ab4621f4d7b17939081cfb6240ee4dd896c678cc79ca1"
775
- },
776
- "https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/all_contest_images.zip": {
777
- "num_bytes": 39523209,
778
- "checksum": "741527b4ef7198d16cee42ae74eacbe239bcc7377f8b86811c27d627fdc77748"
779
  }
780
  },
781
- "download_size": 41938764,
782
- "post_processing_size": null,
783
- "dataset_size": 11420954,
784
- "size_in_bytes": 53359718
785
  },
786
  "ranking_from_pixels_1": {
787
  "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 2 captions. One of the captions was selected by crowd voting or New Yorker editors as high quality. You must select it.\n",
 
656
  "license": "",
657
  "features": {
658
  "image": {
 
 
659
  "_type": "Image"
660
  },
661
  "contest_number": {
662
  "dtype": "int32",
 
663
  "_type": "Value"
664
  },
665
  "image_location": {
666
  "dtype": "string",
 
667
  "_type": "Value"
668
  },
669
  "image_description": {
670
  "dtype": "string",
 
671
  "_type": "Value"
672
  },
673
  "image_uncanny_description": {
674
  "dtype": "string",
 
675
  "_type": "Value"
676
  },
677
  "entities": {
678
  "feature": {
679
  "dtype": "string",
 
680
  "_type": "Value"
681
  },
 
 
682
  "_type": "Sequence"
683
  },
684
  "questions": {
685
  "feature": {
686
  "dtype": "string",
 
687
  "_type": "Value"
688
  },
 
 
689
  "_type": "Sequence"
690
  },
691
  "caption_choices": {
692
  "feature": {
693
  "dtype": "string",
 
694
  "_type": "Value"
695
  },
 
 
696
  "_type": "Sequence"
697
  },
698
  "from_description": {
699
  "dtype": "string",
 
700
  "_type": "Value"
701
  },
702
  "winner_source": {
703
  "dtype": "string",
 
704
  "_type": "Value"
705
  },
706
  "label": {
707
  "dtype": "string",
 
708
  "_type": "Value"
709
  },
710
  "n_tokens_label": {
711
  "dtype": "int32",
 
712
  "_type": "Value"
713
  },
714
  "instance_id": {
715
  "dtype": "string",
 
716
  "_type": "Value"
717
  }
718
  },
 
 
 
719
  "builder_name": "newyorker_caption_contest",
720
+ "dataset_name": "newyorker_caption_contest",
721
  "config_name": "ranking_1",
722
  "version": {
723
  "version_str": "1.0.0",
 
724
  "major": 1,
725
  "minor": 0,
726
  "patch": 0
 
728
  "splits": {
729
  "train": {
730
  "name": "train",
731
+ "num_bytes": 580099188.9,
732
  "num_examples": 9450,
733
+ "dataset_name": null
734
  },
735
  "validation": {
736
  "name": "validation",
737
+ "num_bytes": 35332200.0,
738
  "num_examples": 534,
739
+ "dataset_name": null
740
  },
741
  "test": {
742
  "name": "test",
743
+ "num_bytes": 32624105.0,
744
  "num_examples": 507,
745
+ "dataset_name": null
 
 
 
 
 
 
 
 
 
 
746
  }
747
  },
748
+ "download_size": 546559254,
749
+ "dataset_size": 648055493.9,
750
+ "size_in_bytes": 1194614747.9
 
751
  },
752
  "ranking_from_pixels_1": {
753
  "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 2 captions. One of the captions was selected by crowd voting or New Yorker editors as high quality. You must select it.\n",
ranking_1/test-00000-of-00001.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:345d5fd088d843f8369651fc8f0d75868aede6d3bbb4ec27ec6a7092968310b8
3
+ size 23168879
ranking_1/train-00000-of-00002.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b390cf3a105a8be60685810ad13d01ac1f32da460398f2a76aa4255ccc62d841
3
+ size 250330467
ranking_1/train-00001-of-00002.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:daf1835575698150c7f0ee473b618b037e1b33863832be5eaafcf24e9e1390ad
3
+ size 246514223
ranking_1/validation-00000-of-00001.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bb676b625490a8a14be6a113929d40561aa46a68f7009bc095afcd6980c465d4
3
+ size 26545685