README.md

metadata

configs:
  - config_name: split_20250821_120925
    data_files:
      - split: train
        path: data/split_20250821_120925.parquet
  - config_name: split_20250821_122924
    data_files:
      - split: train
        path: data/split_20250821_122924.parquet
  - config_name: split_20250821_123925
    data_files:
      - split: train
        path: data/split_20250821_123925.parquet
  - config_name: split_20250821_124926
    data_files:
      - split: train
        path: data/split_20250821_124926.parquet
  - config_name: split_20250821_130425
    data_files:
      - split: train
        path: data/split_20250821_130425.parquet
  - config_name: split_20250821_131426
    data_files:
      - split: train
        path: data/split_20250821_131426.parquet
  - config_name: split_20250821_133425
    data_files:
      - split: train
        path: data/split_20250821_133425.parquet
  - config_name: split_20250821_134425
    data_files:
      - split: train
        path: data/split_20250821_134425.parquet
  - config_name: split_20250821_140445
    data_files:
      - split: train
        path: data/split_20250821_140445.parquet
  - config_name: split_20250821_141427
    data_files:
      - split: train
        path: data/split_20250821_141427.parquet
  - config_name: split_20250821_142925
    data_files:
      - split: train
        path: data/split_20250821_142925.parquet
  - config_name: split_20250821_143429
    data_files:
      - split: train
        path: data/split_20250821_143429.parquet
  - config_name: split_20250821_145425
    data_files:
      - split: train
        path: data/split_20250821_145425.parquet
  - config_name: split_20250821_150928
    data_files:
      - split: train
        path: data/split_20250821_150928.parquet
  - config_name: split_20250821_152925
    data_files:
      - split: train
        path: data/split_20250821_152925.parquet
  - config_name: split_20250821_155424
    data_files:
      - split: train
        path: data/split_20250821_155424.parquet
  - config_name: split_20250821_161924
    data_files:
      - split: train
        path: data/split_20250821_161924.parquet
  - config_name: split_20250821_163927
    data_files:
      - split: train
        path: data/split_20250821_163927.parquet
  - config_name: split_20250821_170937
    data_files:
      - split: train
        path: data/split_20250821_170937.parquet
  - config_name: split_20250821_173926
    data_files:
      - split: train
        path: data/split_20250821_173926.parquet
  - config_name: split_20250821_180425
    data_files:
      - split: train
        path: data/split_20250821_180425.parquet
  - config_name: split_20250821_182427
    data_files:
      - split: train
        path: data/split_20250821_182427.parquet
  - config_name: split_20250821_184448
    data_files:
      - split: train
        path: data/split_20250821_184448.parquet
  - config_name: split_20250821_185537
    data_files:
      - split: train
        path: data/split_20250821_185537.parquet
  - config_name: split_20250821_191036
    data_files:
      - split: train
        path: data/split_20250821_191036.parquet
  - config_name: split_20250821_192503
    data_files:
      - split: train
        path: data/split_20250821_192503.parquet
  - config_name: split_20250821_194436
    data_files:
      - split: train
        path: data/split_20250821_194436.parquet
  - config_name: split_20250821_195938
    data_files:
      - split: train
        path: data/split_20250821_195938.parquet
  - config_name: split_20250821_200935
    data_files:
      - split: train
        path: data/split_20250821_200935.parquet
  - config_name: split_20250821_201430
    data_files:
      - split: train
        path: data/split_20250821_201430.parquet
  - config_name: split_20250821_203929
    data_files:
      - split: train
        path: data/split_20250821_203929.parquet
  - config_name: split_20250822_081634
    data_files:
      - split: train
        path: data/split_20250822_081634.parquet
  - config_name: split_20250823_101844
    data_files:
      - split: train
        path: data/split_20250823_101844.parquet
  - config_name: split_20250823_212018
    data_files:
      - split: train
        path: data/split_20250823_212018.parquet
  - config_name: split_20250824_091637
    data_files:
      - split: train
        path: data/split_20250824_091637.parquet
  - config_name: split_20250825_011818
    data_files:
      - split: train
        path: data/split_20250825_011818.parquet
  - config_name: split_20250826_011735
    data_files:
      - split: train
        path: data/split_20250826_011735.parquet
  - config_name: split_20250826_201630
    data_files:
      - split: train
        path: data/split_20250826_201630.parquet
  - config_name: split_20250827_171634
    data_files:
      - split: train
        path: data/split_20250827_171634.parquet
  - config_name: split_20250828_171741
    data_files:
      - split: train
        path: data/split_20250828_171741.parquet
  - config_name: split_20250829_152007
    data_files:
      - split: train
        path: data/split_20250829_152007.parquet
  - config_name: split_20250830_121729
    data_files:
      - split: train
        path: data/split_20250830_121729.parquet
  - config_name: split_20250831_101744
    data_files:
      - split: train
        path: data/split_20250831_101744.parquet
  - config_name: split_20250901_051630
    data_files:
      - split: train
        path: data/split_20250901_051630.parquet
  - config_name: split_20250901_221746
    data_files:
      - split: train
        path: data/split_20250901_221746.parquet
  - config_name: split_20250902_181639
    data_files:
      - split: train
        path: data/split_20250902_181639.parquet
  - config_name: split_20250903_171626
    data_files:
      - split: train
        path: data/split_20250903_171626.parquet
  - config_name: split_20250904_141819
    data_files:
      - split: train
        path: data/split_20250904_141819.parquet
dataset_info:
  features:
    - name: media_hash
      dtype: string
    - name: model_name
      dtype: string
    - name: label
      dtype: int64
    - name: timestamp
      dtype: int64
    - name: file_age_hours
      dtype: float32
    - name: media_image
      dtype: image

BitMind Image Benchmarks

This dataset contains AI-generated image samples.

Dataset Structure

Each config represents a batch upload with:

• Parquet files in data/ containing image data and metadata

Loading the Dataset

from datasets import load_dataset

# List available configs (timestamps)
configs = ['split_20250821_110436', 'split_20250821_112432', ...]

# Load specific config
dataset = load_dataset('bitmind/bm-image-benchmarks', 'split_20250821_110436')

# Access data
for sample in dataset['train']:
    print(f"Model: {sample['model_name']}")
    print(f"Label: {sample['label']}")
    # sample['media_image'] contains the PIL Image
    image = sample['media_image']
    image.show()  # Display the image

Processing Images

from datasets import load_dataset
from PIL import Image

# Load dataset (images and metadata)
config = 'split_20250821_110436'  # Use your desired config
dataset = load_dataset('bitmind/bm-image-benchmarks', config)

# Process images with metadata
for sample in dataset['train']:
    image = sample['media_image']  # PIL Image object
    print(f"Model: {sample['model_name']}")
    print(f"Label: {sample['label']}")
    print(f"Hash: {sample['media_hash']}")
    
    # Your image processing code here
    # image.save(f"{sample['media_hash']}.png")