| --- |
| license: other |
| task_categories: |
| - visual-question-answering |
| language: |
| - en |
| --- |
| |
| # iam_train_cleaned |
|
|
| The **iam_train** family of the ElliotVL supervised-fine-tuning pool, **after VLM cleaning**. |
| |
| | | | |
| |---|---| |
| | images | 7,821 | |
| | QA turns | 23,554 | |
| | answers rewritten by the cleaning pass | 2,069 | |
| | QA created by the cleaning pass (`new_qa`) | 16,304 (69.2%) | |
| | shards | 3 | |
| |
| ## How this was cleaned |
| |
| A vision-language model read each image together with its QA and judged the item. The pass is |
| **not a filter that only removes rows** — it rewrites answers it finds wrong but salvageable, |
| drops what it cannot salvage, and adds QA where the image supports more than the source provided. |
| Each row carries the judge's own record in `clean_meta`, including the cleaner identity, the |
| policy it applied, and its per-item scores for legibility, richness and coverage. |
|
|
| **A large share of the QA here was written by the cleaning pass, not by the original dataset.** |
| Across the pool that share runs from roughly half to over 80% of a family's turns, and it is |
| reported in the table above. Those rows have an empty `org_answer` because no pre-clean original |
| exists. Treat them as model-generated supervision: they were judged against the image, but they |
| are not human annotation, and model-written QA is where formatting defects are most likely. |
|
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| The effect on the answers that *were* carried over is substantive rather than cosmetic. In this pool the pass corrects values, not just |
| wording — a curve's critical point restated from `4.00` to `2.00`, a computed ratio from `1` to |
| `Approximately 1.33` — and for some families it removed the content entirely, which is why those |
| families are absent here rather than published empty. |
|
|
| ## `answer` vs `org_answer` |
| |
| - `answer` — the cleaned answer. **Train on this.** |
| - `org_answer` — the pre-cleaning answer from the same `(image, question)` in the uncleaned pool. |
| It is empty for QA the cleaning pass added, which have no original. |
|
|
| Where the two differ, the difference is the correction. Keeping both makes every edit auditable |
| instead of asking you to take the cleaning on trust. |
|
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|
|
| ## Schema |
|
|
| - `image` — HF `Image()`, renders directly in the dataset viewer |
| - `image_sha256` — content hash of the image |
| - `n_qa` — number of turns attached to this image |
| - `qa` — list of {`question`, `answer`, `org_answer`}, **in source order** |
| - `family` / `clean_meta` — provenance and the judge's per-row record |
|
|
| A row with more than one entry in `qa` is a **conversation over a single image**, not a set of |
| independent questions — the turns depend on each other and the image belongs to all of them. |
| Keep them together and in order when training. |
|
|
| Parquet row groups are written at ~32 MB so the dataset viewer pages without stalling. |
|
|
| ## What is NOT claimed |
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|
| No rejection sampling was run against this family: there is no accept/reject verdict per row, and |
| `answer` is the cleaned reference rather than a model generation that a string verifier confirmed. |
| For that, use the `*_RS_think` / `*_rejected` datasets in [elliot-mllm](https://huggingface.co/elliot-mllm). |
|
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|
|
| ## Examples |
| 10 rows taken straight from this dataset. Images are the **original files** as stored here - no downscaling, no recompression - and every turn is shown in full. |
|
|
| ### Example 1 — 2 turns on one image |
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|  |
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| | # | question | answer | |
| |---|---|---| |
| | 1 | What is the style of the text in the image? | The text is handwritten in a cursive script. | |
| | 2 | How many lines of text are visible? | There are two lines of text. | |
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| ### Example 2 — 3 turns on one image |
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| | # | question | answer | |
| |---|---|---| |
| | 1 | Describe the text written in this photo. | In doing so he described his distinguished patient and his symptoms. | |
| | 2 | What is the medium and color of the text? | It is handwritten in black ink. | |
| | 3 | How is the text arranged spatially? | It is written across two lines. | |
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| ### Example 3 — 3 turns on one image |
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|  |
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| | # | question | answer (cleaned) | org_answer (pre-judge) | |
| |---|---|---|---| |
| | 1 | Detail the handwritten content in this image. | They think there is something inevitably "queer" about psychology and this feeling of queerness usually boils down to a quite mistaken belief that the psychologist first looks into ... | They think there is something inevitably" queer" about psychology and this feeling of queerness usually boils down to a quite mistaken belief that the psychologist first looks into ... | |
| | 2 | What is the visual style and medium of the text in the image? | It is handwritten cursive script in black ink on a white background. | _(unchanged)_ | |
| | 3 | How many lines of text are visible in the image? | There are six lines of text. | _(unchanged)_ | |
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| ### Example 4 — 2 turns on one image |
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| | # | question | answer | |
| |---|---|---| |
| | 1 | What words are inscribed in this image? | The migrating stages all come from 100-250 meters, and the time of their arrival at the surface is directly related to their swimming capacity: 3rd ( oldest ) calyptopis from 1800-2200 hr; 2nd, from 2200-0200 hr; and 1st, from 0200-0600 hr. | |
| | 2 | What is the visual style of the text in the image? | The text is handwritten in black ink on a white background. | |
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| ### Example 5 — 3 turns on one image |
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| | # | question | answer | |
| |---|---|---| |
| | 1 | Output the text in this image. | I forgot to tell you, we don't usually lend any house built earlier than 1918. " | |
| | 2 | Is the text in the image typed or handwritten? | The text is handwritten. | |
| | 3 | How many lines of text are visible in the image? | There are two lines of text. | |
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| ### Example 6 — 3 turns on one image |
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| | # | question | answer | |
| |---|---|---| |
| | 1 | What text does this image contain? | He was here, near the railway station, three or four years. | |
| | 2 | What is the writing style of the text in the image? | Handwritten cursive. | |
| | 3 | How is the text arranged spatially? | The text is split across two lines. | |
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| ### Example 7 — 3 turns on one image |
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| | # | question | answer | |
| |---|---|---| |
| | 1 | Detail the handwritten content in this image. | A huge crowd had collected. | |
| | 2 | How is the text spatially arranged in the image? | The text is split into two parts: 'A huge' is written in the top right corner, and 'crowd had collected.' is written in the bottom left area. | |
| | 3 | What is the style of the writing shown? | The text is handwritten in a cursive script using black ink on a white background. | |
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| ### Example 8 — 3 turns on one image |
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| | # | question | answer | |
| |---|---|---| |
| | 1 | What is scribbled in this image? | Philip allowed # it to be seen that he thought going to the pictures just for the fun of it was | |
| | 2 | How many lines of text are visible in the image? | Three. | |
| | 3 | What is visible at the very beginning of the second line? | A scribbled-out or crossed-out word. | |
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| ### Example 9 — 4 turns on one image |
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| | # | question | answer | |
| |---|---|---| |
| | 1 | What words are inscribed in this image? | Its terms have set the Prime Minister an exacting problem. | |
| | 2 | What style of writing is used for the text in the image? | Handwritten cursive script. | |
| | 3 | What color is the ink used for the text? | Black. | |
| | 4 | How many lines of text are visible in the image? | Two. | |
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| ### Example 10 — 4 turns on one image |
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| | # | question | answer (cleaned) | org_answer (pre-judge) | |
| |---|---|---|---| |
| | 1 | Decode the message shown. | This emphasis on the legality of the former- Government suggests that all is not well with the political and military leadership of the pro-communists, | This emphasis on the legality of the former Government suggests that all is not well with the political and military leadership of the pro-communists. | |
| | 2 | How many lines of text are visible in the image? | Four | _(unchanged)_ | |
| | 3 | What punctuation mark appears at the end of the first line? | A hyphen | _(unchanged)_ | |
| | 4 | Is the text in the image typed or handwritten? | Handwritten | _(unchanged)_ | |
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