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README.md
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---
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license: other
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pretty_name: D2F Review Processed Dataset Bundle
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tags:
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- anonymous-review
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- time-series
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- processed-datasets
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---
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# D2F Review Processed Dataset Bundle
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This dataset repository hosts a reduced processed-data bundle for anonymous review. It is intended to support subset evaluation using redistributable processed inputs only.
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## Files
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- `d2f_review_processed_datasets_public.zip`: reduced processed dataset bundle
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- `d2f_review_processed_datasets_public.manifest.json`: file list, byte counts, and SHA256 checksums
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## Bundle Summary
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- Size: 2,336,951,424 bytes (2.18 GiB)
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- SHA256: `9b35e971668875f31312eaa4fa0058339a5a1c7ec16aa9a7207c5d2d0d4eb5f2`
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- File count: 16
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- Uncompressed member bytes: 3,664,989,844
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## Included Data
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- `data/cryptos_binance_spot_monthly_1s_l10.npz`
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- Processed Monash dataset manifests, audits, and `.tsf` source files under `paper_datasets/monash/`
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## Excluded Data
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The public bundle excludes restricted or non-public-review files:
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- `data/es_mbp_10.npz`
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- `data/sleep_edf_3ch_100hz_stage_conditioned.npz`
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- `data/sleep_edf_3ch_100hz_stage_conditioned.json`
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- Monash raw download zip files under `paper_datasets/monash/*/raw/`
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## Usage
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```python
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from huggingface_hub import hf_hub_download
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bundle = hf_hub_download(
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repo_id="pixelhero98/d2f-dataset",
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filename="d2f_review_processed_datasets_public.zip",
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repo_type="dataset",
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)
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```
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Then pass the downloaded path to the evaluation runner:
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```bash
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CUDA_VISIBLE_DEVICES='' PYTHONDONTWRITEBYTECODE=1 python -m diffusion_flow_inference.evaluation.diffusion_flow_time_reparameterization \
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--dataset_bundle_zip "$bundle" \
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--dataset_bundle_mode auto \
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--dataset_bundle_extract_root outputs/dataset_bundles/extracted \
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--backbone_manifest outputs/backbone_matrix/backbone_manifest.json
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```
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Users are responsible for complying with the terms of the upstream datasets represented in this processed review artifact.
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