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Datasets:
KonstantinosKK
/
reflect-dit-train-images

Tasks:
Text-to-Image
Languages:
English
Tags:
code
text-to-image
License:
Dataset card Files
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The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 299, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 83, in _split_generators
                  raise ValueError(
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 353, in get_dataset_split_names
                  info = get_dataset_config_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 304, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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Reflect-DiT Training Images

This is the official dataset repository for the training images used in Reflect-DiT, a Reflective Diffusion Transformer for image generation.

🔗 Paper: Reflect-DiT: Inference-Time Scaling for Text-to-Image Diffusion Transformers via In-Context Reflection

Contents

The dataset is stored in multiple .tar archives located in the data/ directory:

data/
├── gen_eval_sana_part_0.tar
├── gen_eval_sana_part_1.tar
├── ...
└── gen_eval_sana_part_9.tar

Usage

Due to the dataset's size, it is provided as .tar files. You can manually download and extract them:

mkdir extracted_data
tar -xvf data/gen_eval_sana_part_0.tar -C extracted_data/

You can also extract the files programmatically using Python:

import tarfile
from pathlib import Path

tar_dir = Path("data")
for tar_file in sorted(tar_dir.glob("*.tar")):
    with tarfile.open(tar_file) as archive:
        archive.extractall(path="extracted_data/")

⚠️ The dataset is not directly loadable via the datasets library due to its format.

License

This dataset is released under the Apache 2.0 license.

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