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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. | |
| --- | |
| ## Data sources | |
| 1. external sources are referenced, not redistributed | |
| 2. record retrieval date and filtering rules | |
| 3. keep provenance explicit before any training run | |
| --- | |
| ## Environment | |
| | Item | Value | | |
| |---|---| | |
| | Python | >= 3.9 | | |
| | torch | 2.x | | |
| | safetensors | any recent | | |
| --- | |
| ## 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. | |
| --- | |
| ## 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. | |
| --- | |
| ## Processing choices | |
| | Item | Value | | |
| |---|---| | |
| | Storage format | jsonl | | |
| | Preprocessing | curriculum | | |
| | Augmentation | heavy | | |
| | Split strategy | leave one out | | |
| | Sampling | active | | |
| | Quality checks | adaptive | | |
| | Labeling | manual | | |
| --- | |
| ## 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. | |
| --- | |
| ## 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. | |
| --- | |
| ## Files | |
| | File | Purpose | | |
| |---|---| | |
| | `dataloader.py` | primary artifact | | |
| | `README.md` | this documentation | | |
| | `dataset_infos.json` | schema metadata | | |
| | `metadata_sample.jsonl` | schema sample | | |
| --- | |
| ## License | |
| Distributed under the **cc-by-4.0** license. External datasets keep their own terms — check them separately. | |