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license: cc-by-4.0
tags:
- dataset
- document-ocr
- multimodal3
- pipeline
- metadata-sample
---
# Document OCR Multimodal3 Data Notes
## Overview
A documented **Document OCR** data-preparation workflow for **Multimodal3** records. The bundled rows demonstrate the schema and validation path rather than pretending to be a full training corpus.
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## Data sources
1. external sources are referenced, not redistributed
2. record retrieval date and filtering rules
3. keep provenance explicit before any training run
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## Environment
| Item | Value |
|---|---|
| Python | >= 3.9 |
| torch | 2.x |
| safetensors | any recent |
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## Validation checklist
Before using the prepared data, verify source licenses, duplicates across splits, missing values, label balance, and modality-specific corruption. Record the source version and every filtering rule so a later run can reproduce the same rows.
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## Risks and limitations
External sources may be unrepresentative, mis-licensed, or contain sensitive fields. Source review, privacy checks and bias analysis are the user's responsibility before training or redistribution.
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## Processing choices
| Item | Value |
|---|---|
| Storage format | jsonl |
| Preprocessing | curriculum |
| Augmentation | heavy |
| Split strategy | leave one out |
| Sampling | active |
| Quality checks | adaptive |
| Labeling | manual |
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## Included material
1. `dataloader.py` — loading, cleaning and split preparation.
2. `dataset_infos.json` — schema and split metadata.
3. `metadata_sample.jsonl` — readable records for schema checks.
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## Intended use
The repository is suitable for testing the data pipeline, adapting it to a documented source, and preparing controlled research splits. Release status: **metadata sample; full source data not bundled**. The sample is for schema inspection only and should not be reported as a full training corpus.
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## Files
| File | Purpose |
|---|---|
| `dataloader.py` | primary artifact |
| `README.md` | this documentation |
| `dataset_infos.json` | schema metadata |
| `metadata_sample.jsonl` | schema sample |
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## License
Distributed under the **cc-by-4.0** license. External datasets keep their own terms — check them separately.
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