upload the next config
Browse files
README.md
CHANGED
@@ -137,6 +137,32 @@ dataset_info:
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num_examples: 131
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download_size: 37552582
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dataset_size: 37774390.0
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- config_name: matching
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features:
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- name: image
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@@ -426,6 +452,14 @@ configs:
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path: explanation_from_pixels/validation-*
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- split: test
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path: explanation_from_pixels/test-*
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- config_name: matching
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data_files:
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- split: train
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num_examples: 131
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download_size: 37552582
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dataset_size: 37774390.0
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- config_name: explanation_from_pixels_1
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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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dtype: 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: 21986652.0
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num_examples: 393
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- name: validation
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num_bytes: 7831556.0
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num_examples: 128
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- name: test
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num_bytes: 7956182.0
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num_examples: 130
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download_size: 37534409
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dataset_size: 37774390.0
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- config_name: matching
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features:
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- name: image
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path: explanation_from_pixels/validation-*
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- split: test
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path: explanation_from_pixels/test-*
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- config_name: explanation_from_pixels_1
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data_files:
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- split: train
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path: explanation_from_pixels_1/train-*
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- split: validation
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path: explanation_from_pixels_1/validation-*
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- split: test
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path: explanation_from_pixels_1/test-*
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- config_name: matching
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data_files:
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- split: train
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dataset_infos.json
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@@ -919,44 +919,34 @@
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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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"dtype": "string",
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"id": null,
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"_type": "Value"
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},
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"label": {
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"dtype": "string",
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"id": null,
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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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"id": null,
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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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"id": null,
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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": "explanation_from_pixels_1",
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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": 393,
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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": 128,
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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": 130,
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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/explanation_from_pixels_1.zip": {
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"num_bytes": 122627,
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"checksum": "0ef48fc4c94c6bbceecc87cd22848936d49ca7ac6c85ed04d141aeff4c5dd87c"
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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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}
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},
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"download_size":
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"
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"
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"size_in_bytes": 40036398
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},
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"matching_2": {
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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 5 captions. Only one of the captions was truly written about the cartoon. 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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"dtype": "string",
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"_type": "Value"
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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": "explanation_from_pixels_1",
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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": 21986652.0,
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"num_examples": 393,
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"dataset_name": null
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"validation": {
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"name": "validation",
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"num_bytes": 7831556.0,
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"num_examples": 128,
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"dataset_name": null
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},
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"test": {
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"name": "test",
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"num_bytes": 7956182.0,
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"num_examples": 130,
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"dataset_name": null
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}
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},
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"download_size": 37534409,
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"dataset_size": 37774390.0,
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"size_in_bytes": 75308799.0
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},
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"matching_2": {
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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 5 captions. Only one of the captions was truly written about the cartoon. You must select it.\n",
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explanation_from_pixels_1/test-00000-of-00001.parquet
ADDED
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version https://git-lfs.github.com/spec/v1
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size 7913272
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explanation_from_pixels_1/train-00000-of-00001.parquet
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size 21840001
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explanation_from_pixels_1/validation-00000-of-00001.parquet
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