---
license: cc0-1.0
tags:
- dataset
- legal
- image-depth
- metadata-sample
---

# Preparation pipeline: Legal / Image Depth

## Overview

Preparation notes and schema examples for **Legal** tasks using **Image Depth** data. Full source material is intentionally not bundled, so provenance and licensing remain explicit.

## Data Sources

Source material is referenced but not bundled. Record the source version, retrieval date and any filtering rule so the same rows can be reproduced later.

## Included Material

1. `prepare.py` — loading, cleaning, and split preparation code.
2. `dataset_infos.json` — schema and split metadata.
3. `metadata_sample.jsonl` — small, human-readable records for checking the schema.
4. `README.md` — data card and usage notes.

## Risks And Limitations

The loader cannot guarantee that an external source is representative, correctly licensed, or free of sensitive information. Users remain responsible for source review, privacy checks, and bias analysis before training or redistribution.

## Acknowledgments

This repo borrows ideas freely from public reference implementations; credit to their authors.

## Validation Checklist

1. check source licenses before redistribution
2. scan for duplicates across splits
3. inspect missing values and label balance
4. watch for modality-specific corruption

## Citation

```bibtex
@misc{preparationpipelinel},
  title = {Preparation pipeline: Legal / Image Depth},
  year = {{2026}},
  publisher = {{Hugging Face}},
}
```

## Processing Choices

1. **Storage format**: jsonl
2. **Preprocessing**: aggressive
3. **Augmentation**: none
4. **Split strategy**: kfold 5
5. **Sampling**: balanced
6. **Quality checks**: strict
7. **Labeling**: self training

## Files

| File | Purpose |
|---|---|
| `prepare.py` | primary artifact |
| `README.md` | this documentation |
| `dataset_infos.json` | schema metadata |
| `metadata_sample.jsonl` | schema sample |

## License

Distributed under the **cc0-1.0** license. External datasets keep their own terms — check them separately.