File size: 2,904 Bytes
24c0b6e 613f018 24c0b6e 613f018 2e9e5c5 613f018 24c0b6e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 | # DocMIDE
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.
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.
## Dataset structure
`test.jsonl` is a doc-level JSONL file: one line per document image, with a list of `samples` (question/answer pairs) for that document.
```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"
}
]
}
```
**Fields per sample:**
| 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. |
Document-level fields: `doc_id`, `image` (path relative to this directory), `category` (`Administrative`, `Commercial`, `Advertisement`, `Accommodation`, or `Synthetic`).
## Splits
| Split | Documents | Samples |
|---|---:|---:|
| `test.jsonl` | 3,427 | 4,151 |
Images live under `images/` (3,427 total): `images/real/` (427 real-world documents, JPG) and `images/synthetic/` (3,000 procedurally generated documents, PNG).
## Links
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
|