latex_ocr_cleaned

The latex_ocr__x family of the ElliotVL supervised-fine-tuning pool, after VLM cleaning.

images	72,345
QA turns	132,970
answers rewritten by the cleaning pass	7,072
QA created by the cleaning pass (new_qa)	66,310 (49.9%)
shards	1

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.

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.

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

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.

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

#	question	answer
1	Please transcribe the following LaTeX code into a human-readable format.	s + t + u = - \frac { 8 } { \alpha ^ { \prime } }
2	What are the colors of the text and the background in the image?	The text is black and the background is white.

Example 2 — 2 turns on one image

#	question	answer
1	Please transcribe the following LaTeX code into a human-readable format.	\widetilde \gamma _ { \mathrm { h o p f } } \simeq \sum _ { n > 0 } \widetilde { G } _ { n } { \frac { ( - a ) ^ { n } } { 2 ^ { 2 n - 1 } } }
2	Describe the mathematical equation shown in the image in plain English.	The equation states that gamma tilde hopf is approximately equal to the sum from n greater than 0 of G tilde n multiplied by negative a to the power n, divided by 2 to the power of 2n minus 1.

Example 3 — 3 turns on one image

#	question	answer
1	Translate the mathematical equation shown in the image into a plain English sentence.	The second derivative of phi with respect to tau squared equals the sine of phi.
2	Which Greek letters are used as variables in the equation?	Phi ($\varphi$) and tau ($\tau$).
3	What is the background color of the image?	White.

Example 4

#	question	answer
1	Please transcribe the following LaTeX code into a human-readable format.	| t _ { i , j } | ^ { 2 } \leq t _ { i , i } t _ { j , j } , t _ { i , i } > 0 \forall i , j

Example 5

#	question	answer
1	Please transcribe the following LaTeX code into a human-readable format.	\rho _ { L } ( q ) = \sum _ { m = 1 } ^ { L } \ P _ { L } ( m ) \ { \frac { 1 } { q ^ { m - 1 } } } .

Example 6

#	question	answer
1	Please transcribe the following LaTeX code into a human-readable format.	m _ { \phi _ { 0 } } ^ { 2 } \sim { \frac { m ^ { 2 } v ^ { 2 } } { \Lambda ^ { 2 } } } .

Example 7 — 2 turns on one image

#	question	answer
1	Please transcribe the following LaTeX code into a human-readable format.	d s ^ { 2 } = ( 1 - { \frac { q c o s \theta } { r } } ) ^ { \frac { 2 } { 1 + \alpha ^ { 2 } } } \lbrace d r ^ { 2 } + r ^ { 2 } d \theta ^ { 2 } + r ^ { 2 } s i n ^ { 2 } \theta d \varphi ^ { 2 } \rbrace - { \frac { d t ^ { 2 } } { ( 1 - { \frac { q c o s \theta } { r } } ) ^ { \frac { 2 } { 1 + \alpha ^ { 2 } } } } } .
2	Describe the visual style and layout of the text in the image.	The image displays a single line of mathematical text in a black serif font centered on a white background.

Example 8

#	question	answer
1	Please transcribe the following LaTeX code into a human-readable format.	( \partial b ) ^ { * } = - q ^ { 2 } ( D ^ { - 1 } ) \left( - q ^ { 3 } c d ( \partial a ) + q a d ( \partial c ) + q ^ { 2 } c ^ { 2 } ( \partial b ) - a c ( \partial d ) \right) ,

Example 9 — 2 turns on one image

#	question	answer
1	Please transcribe the following LaTeX code into a human-readable format.	\varepsilon ^ { \mu \nu \alpha \beta } \partial _ { \nu } B _ { \alpha \beta } = 0 .
2	What is the background color of the image?	White

Example 10 — 2 turns on one image

#	question	answer
1	Please transcribe the following LaTeX code into a human-readable format.	\zeta _ { \mathrm { f r } } ( K , P ) = \omega ( K , P ) t - { \bf k } ( { \bf x } - { \bf y } ) - { \bf p } ( { \bf x }
2	Is the mathematical equation in the image complete?	No, the equation is cut off on the right side.