upload the next config
Browse files
README.md
CHANGED
@@ -585,6 +585,32 @@ dataset_info:
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num_examples: 540
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download_size: 139585876
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dataset_size: 167545213.28
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- config_name: ranking
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features:
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- name: image
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@@ -994,6 +1020,14 @@ configs:
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path: matching_from_pixels_3/validation-*
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- split: test
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path: matching_from_pixels_3/test-*
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- config_name: ranking
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data_files:
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- split: train
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num_examples: 540
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download_size: 139585876
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dataset_size: 167545213.28
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- config_name: matching_from_pixels_4
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features:
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- name: image
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dtype: image
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- name: contest_number
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dtype: int32
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- name: caption_choices
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sequence: string
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- name: label
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dtype: string
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- name: n_tokens_label
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dtype: int32
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- name: instance_id
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dtype: string
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splits:
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- name: train
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num_bytes: 102509197.79
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num_examples: 1617
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- name: validation
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num_bytes: 29368704.0
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num_examples: 528
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- name: test
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num_bytes: 34380303.0
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num_examples: 546
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download_size: 138725891
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dataset_size: 166258204.79000002
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- config_name: ranking
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features:
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- name: image
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path: matching_from_pixels_3/validation-*
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- split: test
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path: matching_from_pixels_3/test-*
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- config_name: matching_from_pixels_4
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data_files:
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- split: train
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path: matching_from_pixels_4/train-*
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- split: validation
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path: matching_from_pixels_4/validation-*
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- split: test
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path: matching_from_pixels_4/test-*
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- config_name: ranking
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data_files:
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- split: train
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dataset_infos.json
CHANGED
@@ -2054,49 +2054,37 @@
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"license": "",
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"features": {
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"image": {
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"decode": true,
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"id": null,
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"_type": "Image"
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},
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"contest_number": {
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"dtype": "int32",
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"id": null,
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"_type": "Value"
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},
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"caption_choices": {
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"feature": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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"id": null,
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"_type": "Sequence"
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"label": {
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"dtype": "string",
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"_type": "Value"
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"n_tokens_label": {
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"dtype": "int32",
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"_type": "Value"
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"instance_id": {
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"_type": "Value"
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}
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},
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"post_processed": null,
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"supervised_keys": null,
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"task_templates": null,
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"builder_name": "newyorker_caption_contest",
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"config_name": "matching_from_pixels_4",
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"version": {
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"version_str": "1.0.0",
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"description": null,
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"major": 1,
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"minor": 0,
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"patch": 0
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"splits": {
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"train": {
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"name": "train",
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"num_bytes":
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"num_examples": 1617,
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"dataset_name":
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},
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"validation": {
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"name": "validation",
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-
"num_bytes":
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"num_examples": 528,
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"dataset_name":
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},
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"test": {
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"name": "test",
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-
"num_bytes":
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"num_examples": 546,
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-
"dataset_name":
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}
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},
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"download_checksums": {
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"https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/huggingface_hub/v1.0/matching_from_pixels_4.zip": {
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"checksum": "cecbce805b551669534abb39e49f5fc8cac2d8b3a84d48555db19bc01992b2dd"
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},
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"https://storage.googleapis.com/ai2-jack-public/caption_contest_data_public/all_contest_images.zip": {
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"num_bytes": 39523209,
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"checksum": "741527b4ef7198d16cee42ae74eacbe239bcc7377f8b86811c27d627fdc77748"
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"download_size":
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"
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"
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"size_in_bytes": 41081546
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"ranking_4": {
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"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",
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"license": "",
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"features": {
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"image": {
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"_type": "Image"
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},
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"contest_number": {
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"dtype": "int32",
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"_type": "Value"
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},
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"caption_choices": {
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"feature": {
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"dtype": "string",
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"_type": "Value"
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},
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"_type": "Sequence"
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},
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"label": {
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"dtype": "string",
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"_type": "Value"
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},
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"n_tokens_label": {
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"dtype": "int32",
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"_type": "Value"
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},
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"instance_id": {
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"dtype": "string",
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"_type": "Value"
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}
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},
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"builder_name": "newyorker_caption_contest",
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"dataset_name": "newyorker_caption_contest",
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"config_name": "matching_from_pixels_4",
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"version": {
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"version_str": "1.0.0",
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"major": 1,
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"minor": 0,
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"patch": 0
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"splits": {
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"train": {
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"name": "train",
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"num_bytes": 102509197.79,
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"num_examples": 1617,
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"dataset_name": null
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"validation": {
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"name": "validation",
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"num_bytes": 29368704.0,
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"num_examples": 528,
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"dataset_name": null
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"test": {
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"name": "test",
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"num_bytes": 34380303.0,
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"num_examples": 546,
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"dataset_name": null
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}
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},
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"download_size": 138725891,
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"dataset_size": 166258204.79000002,
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"size_in_bytes": 304984095.79
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},
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"ranking_4": {
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"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",
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matching_from_pixels_4/test-00000-of-00001.parquet
ADDED
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matching_from_pixels_4/train-00000-of-00001.parquet
ADDED
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matching_from_pixels_4/validation-00000-of-00001.parquet
ADDED
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