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t2i-compbench

This dataset is part of T2I-CompBench and contains text files for multiple configurations and splits, primarily for textual data. The dataset includes various configurations such as '3d_spatial_train', 'color_val', 'complex_train', 'shape_val', 'texture_train', each with specific features and splits. Features are mainly text data, and splits contain training and validation sets of varying sizes. The dataset serves as a comprehensive benchmark for text‑to‑image generation and is licensed under the MIT License. It is obtained from a GitHub repository and uploaded to the Hugging Face Hub.

Updated 10/15/2024
huggingface

Description

T2I-CompBench Dataset Overview

Dataset Configurations

3d_spatial_train

  • Features:
    • text: string
  • Split:
    • spatial_train: 700 samples, 20,587 bytes
  • Download size: 8,050 bytes
  • Dataset size: 20,587 bytes

3d_spatial_val

  • Features:
    • text: string
  • Split:
    • spatial_val: 300 samples, 8,752 bytes
  • Download size: 4,105 bytes
  • Dataset size: 8,752 bytes

color_train

  • Features:
    • text: string
  • Split:
    • train: 700 samples, 27,656 bytes
  • Download size: 11,306 bytes
  • Dataset size: 27,656 bytes

color_val

  • Features:
    • text: string
  • Split:
    • val: 300 samples, 12,477 bytes
  • Download size: 6,029 bytes
  • Dataset size: 12,477 bytes

color_val_seen

  • Features:
    • text: string
  • Split:
    • val_seen: 200 samples, 6,801 bytes
  • Download size: 3,553 bytes
  • Dataset size: 6,801 bytes

color_val_unseen

  • Features:
    • text: string
  • Split:
    • val_unseen: 100 samples, 5,676 bytes
  • Download size: 3,461 bytes
  • Dataset size: 5,676 bytes

complex_train

  • Features:
    • text: string
  • Split:
    • train: 700 samples, 54,440 bytes
  • Download size: 25,014 bytes
  • Dataset size: 54,440 bytes

complex_train_action

  • Features:
    • text: string
  • Split:
    • train_action: 504 samples, 43,025 bytes
  • Download size: 21,082 bytes
  • Dataset size: 43,025 bytes

complex_train_spatial

  • Features:
    • text: string
  • Split:
    • train_spatial: 130 samples, 6,864 bytes
  • Download size: 3,433 bytes
  • Dataset size: 6,864 bytes

complex_train_spatialaction

  • Features:
    • text: string
  • Split:
    • train_spatialaction: 66 samples, 4,551 bytes
  • Download size: 3,377 bytes
  • Dataset size: 4,551 bytes

complex_val

  • Features:
    • text: string
  • Split:
    • val: 300 samples, 23,326 bytes
  • Download size: 12,728 bytes
  • Dataset size: 23,326 bytes

complex_val_action

  • Features:
    • text: string
  • Split:
    • val_action: 212 samples, 18,124 bytes
  • Download size: 10,653 bytes
  • Dataset size: 18,124 bytes

complex_val_spatial

  • Features:
    • text: string
  • Split:
    • val_spatial: 58 samples, 3,014 bytes
  • Download size: 2,221 bytes
  • Dataset size: 3,014 bytes

complex_val_spatialaction

  • Features:
    • text: string
  • Split:
    • val_spatialaction: 30 samples, 2,188 bytes
  • Download size: 2,439 bytes
  • Dataset size: 2,188 bytes

non_spatial_train

  • Features:
    • text: string
  • Split:
    • spatial_train: 700 samples, 43,119 bytes
  • Download size: 23,227 bytes
  • Dataset size: 43,119 bytes

non_spatial_val

  • Features:
    • text: string
  • Split:
    • spatial_val: 300 samples, 18,350 bytes
  • Download size: 10,917 bytes
  • Dataset size: 18,350 bytes

numeracy_train

  • Features:
    • text: string
  • Split:
    • train: 700 samples, 27,955 bytes
  • Download size: 13,808 bytes
  • Dataset size: 27,955 bytes

numeracy_val

  • Features:
    • text: string
  • Split:
    • val: 300 samples, 11,764 bytes
  • Download size: 6,744 bytes
  • Dataset size: 11,764 bytes

shape_train

  • Features:
    • text: string
  • Split:
    • train: 700 samples, 42,195 bytes
  • Download size: 16,720 bytes
  • Dataset size: 42,195 bytes

shape_val

  • Features:
    • text: string
  • Split:
    • val: 300 samples, 16,535 bytes
  • Download size: 8,641 bytes
  • Dataset size: 16,535 bytes

shape_val_seen

  • Features:
    • text: string
  • Split:
    • val_seen: 200 samples, 9,317 bytes
  • Download size: 4,904 bytes
  • Dataset size: 9,317 bytes

shape_val_unseen

  • Features:
    • text: string
  • Split:
    • val_unseen: 100 samples, 7,218 bytes
  • Download size: 5,038 bytes
  • Dataset size: 7,218 bytes

spatial_train

  • Features:
    • text: string
  • Split:
    • train: 700 samples, 22,964 bytes
  • Download size: 8,671 bytes
  • Dataset size: 22,964 bytes

spatial_val

  • Features:
    • text: string
  • Split:
    • val: 300 samples, 9,815 bytes
  • Download size: 4,353 bytes
  • Dataset size: 9,815 bytes

texture_train

  • Features:
    • text: string
  • Split:
    • train: 700 samples, 33,189 bytes
  • Download size: 13,122 bytes
  • Dataset size: 33,189 bytes

texture_val

  • Features:
    • text: string
  • Split:
    • val: 300 samples, 14,813 bytes
  • Download size: 6,766 bytes
  • Dataset size: 14,813 bytes

texture_val_seen

  • Features:
    • text: string
  • Split:
    • val_seen: 200 samples, 7,775 bytes
  • Download size: 3,581 bytes
  • Dataset size: 7,775 bytes

texture_val_unseen

  • Features:
    • text: string
  • Split:
    • val_unseen: 100 samples, 7,038 bytes
  • Download size: 4,238 bytes
  • Dataset size: 7,038 bytes

Dataset File Paths

3d_spatial_train

  • Split: spatial_train
  • Path: 3d_spatial_train/spatial_train-*

3d_spatial_val

  • Split: spatial_val
  • Path: 3d_spatial_val/spatial_val-*

color_train

  • Split: train
  • Path: color_train/train-*

color_val

  • Split: val
  • Path: color_val/val-*

color_val_seen

  • Split: val_seen
  • Path: color_val_seen/val_seen-*

color_val_unseen

  • Split: val_unseen
  • Path: color_val_unseen/val_unseen-*

complex_train

  • Split: train
  • Path: complex_train/train-*

complex_train_action

  • Split: train_action
  • Path: complex_train_action/train_action-*

complex_train_spatial

  • Split: train_spatial
  • Path: complex_train_spatial/train_spatial-*

complex_train_spatialaction

  • Split: train_spatialaction
  • Path: complex_train_spatialaction/train_spatialaction-*

complex_val

  • Split: val
  • Path: complex_val/val-*

complex_val_action

  • Split: val_action
  • Path: complex_val_action/val_action-*

complex_val_spatial

  • Split: val_spatial
  • Path: complex_val_spatial/val_spatial-*

complex_val_spatialaction

  • Split: val_spatialaction
  • Path: complex_val_spatialaction/val_spatialaction-*

non_spatial_train

  • Split: spatial_train
  • Path: non_spatial_train/spatial_train-*

non_spatial_val

  • Split: spatial_val
  • Path: non_spatial_val/spatial_val-*

numeracy_train

  • Split: train
  • Path: numeracy_train/train-*

numeracy_val

  • Split: val
  • Path: numeracy_val/val-*

shape_train

  • Split: train
  • Path: shape_train/train-*

shape_val

  • Split: val
  • Path: shape_val/val-*

shape_val_seen

  • Split: val_seen
  • Path: shape_val_seen/val_seen-*

shape_val_unseen

  • Split: val_unseen
  • Path: shape_val_unseen/val_unseen-*

spatial_train

  • Split: train
  • Path: spatial_train/train-*

spatial_val

  • Split: val
  • Path: spatial_val/val-*

texture_train

  • Split: train
  • Path: texture_train/train-*

texture_val

  • Split: val
  • Path: texture_val/val-*

texture_val_seen

  • Split: val_seen
  • Path: texture_val_seen/val_seen-*

texture_val_unseen

  • Split: val_unseen
  • Path: texture_val_unseen/val_unseen-*

License

  • License: MIT

Task Category

  • Task Category: text-to-image

Language

  • Language: en

Tags

  • Tags: image

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Topics

Text-to-Image Generation
Machine Learning

Source

Organization: huggingface

Created: 10/15/2024

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