| # DocMIDE |
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| Document images paired with question/answer pairs that require **implicit reasoning** over the document — deriving, cross-referencing, or computing a value — rather than plain OCR transcription. This is the held-out test split used by the [DocMIDE Benchmark](https://github.com/VXRealLimited/DocMIDE-Benchmark) eval harness; the reasoning-annotated training splits (with raw field data and derivation traces, used for SFT/GRPO) live in the [DocMIDE](https://github.com/VXRealLimited/DocMIDE) training repo. |
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| Most document images are real-world documents sourced from the Unikie benchmark (MIT licensed); the `Synthetic` category is procedurally generated and not derived from Unikie. This dataset (questions, answers, and synthetic images) is released under CC-BY-4.0; the `images/real/` subset remains additionally subject to Unikie's MIT license and attribution requirement. |
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| ## Dataset structure |
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| `test.jsonl` is a doc-level JSONL file: one line per document image, with a list of `samples` (question/answer pairs) for that document. |
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| ```json |
| { |
| "doc_id": "91814768_91814769", |
| "image": "images/real/91814768_91814769.png", |
| "category": "Administrative", |
| "samples": [ |
| { |
| "id": 1, |
| "field": "total_to_date_minus_previously_reported", |
| "question_type": "derivation", |
| "prompt": "This form lists three separate 'Total Expenditures or Disbursements' figures near the bottom: one for This Report, one Previously Reported, and one to Date. By how much does the 'to Date' total exceed the 'Previously Reported' total? Answer with the number only — no currency symbols, commas, or units.", |
| "field_present": true, |
| "answer": "48085.00" |
| } |
| ] |
| } |
| ``` |
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| **Fields per sample:** |
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| | Field | Description | |
| |---|---| |
| | `id` | Sample index within the document. | |
| | `field` | Short identifier for the field/value the question targets. | |
| | `question_type` | `derivation` (compute/combine values) or `spatial` (reason about layout/position/references within the document). | |
| | `prompt` | The question posed about the document. | |
| | `field_present` | Whether the queried field actually exists in the document (always `true` in this split). | |
| | `answer` | The final answer. | |
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| Document-level fields: `doc_id`, `image` (path relative to this directory), `category` (`Administrative`, `Commercial`, `Advertisement`, `Accommodation`, or `Synthetic`). |
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| ## Splits |
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| | Split | Documents | Samples | |
| |---|---:|---:| |
| | `test.jsonl` | 3,427 | 4,151 | |
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| Images live under `images/` (3,427 total): `images/real/` (427 real-world documents, JPG) and `images/synthetic/` (3,000 procedurally generated documents, PNG). |
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| ## Links |
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| Github: |
| - [DocMIDE](https://github.com/VXRealLimited/DocMIDE) — training code (SFT + GRPO) that consumes this dataset |
| - [DocMIDE-Benchmark](https://github.com/VXRealLimited/DocMIDE-Benchmark) — serves and scores checkpoints trained on this dataset |
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