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 — 4 turns on one image

#	question	answer
1	Extract the structured receipt information from the image. Return only a JSON object with the receipt fields.	{"menu":[{"cnt":"x 1","nm":"Nasi Campur Bali","price":"75,000"},{"cnt":"x 1","nm":"Bbk Bengil Nasi","price":"125,000"},{"cnt":"x 1","nm":"MilkShake Starwb","price":"37,000"},{"cnt":"x 1","nm":"Ice Lemon Tea","price":"24,000"},{"cnt":"x 1","nm":"Nasi Ayam Dewata","price":"70,000"},{"cnt":"x 3","nm":"Free Ice Tea","price":"0"},{"cnt":"x 1","nm":"Organic Green Sa","price":"65,000"},{"cnt":"x 1","nm":"Ice Tea","price":"18,000"},{"cnt":"x 1","nm":"Ice Orange","price":"29,000"},{"cnt":"x 1","nm":"Ayam Suir Bali","price":"85,000"},{"cnt":"x 2","nm":"Tahu Goreng","price":"36,000"},{"cnt":"x 2","nm":"Tempe Goreng","price":"36,000"},{"cnt":"x 1","nm":"Tahu Telor Asin","price":"40,000."},{"cnt":"x 1","nm":"Nasi Goreng Samb","price":"70,000"},{"cnt":"x 3","nm":"Bbk Panggang Sam","price":"366,000"},{"cnt":"x 1","nm":"Ayam Sambal Hija","price":"92,000"},{"cnt":"x 2","nm":"Hot Tea","price":"44,000"},{"cnt":"x 1","nm":"Ice Kopi","price":"32,000"},{"cnt":"x 1","nm":"Tahu Telor Asin","price":"40,000"},{"cnt":"x 1","nm":"Free Ice Tea","price":"0"},{"cnt":"x 1","nm":"Bebek Street","price":"44,000"},{"cnt":"x 1","nm":"Ice Tea Tawar","price":"18,000"}],"sub_total":{"etc":"-45","service_price":"100,950","subtotal_price":"1,346,000","tax_price":"144,695"},"total":{"total_price":"1,591,600"}}
2	What surface is the receipt placed on?	A black and white woven placemat.
3	What specific text labels appear in the calculation section below the item list?	Sub-Total, Service, PBI, Rounding, Grand Total.
4	Is the top header of the receipt visible?	No, the top section containing the header information is blurred out.

Example 2 — 4 turns on one image

#	question	answer
1	Extract the structured receipt information from the image. Return only a JSON object with the receipt fields.	{"menu":[{"cnt":"1","nm":"SPGTHY BOLOGNASE","price":"58,000"},{"cnt":"1","nm":"PEPPER AUS","price":"165,000","sub_nm":"WELL DONE"},{"cnt":"1","nm":"WAGYU RIBEYE","price":"195,000","sub_nm":"MEDIUM WELL"},{"cnt":"1","nm":"ICED LEMON TEA","price":"22,000"},{"cnt":"1","nm":"FUSION TEA LYCHE","price":"28,000"},{"cnt":"1","nm":"NUTTELA BROWNIES","price":"35,000"}],"sub_total":{"service_price":"25,150","subtotal_price":"503,000","tax_price":"52,815"},"total":{"total_price":"580,965"}}
2	What table number is listed on the receipt?	6 / 1
3	What specific abbreviations are used for the tax and service charge lines?	PB1 and SVC CHRG
4	What pattern is visible on the surface underneath the receipt?	A plaid or checkered pattern

Example 3 — 4 turns on one image

#	question	answer
1	Extract the structured receipt information from the image. Return only a JSON object with the receipt fields.	{"menu":[{"cnt":"4","nm":"HAKAU UDANG","price":"92,000"},{"cnt":"4","nm":"SIAO MAI BABI","price":"80,000"},{"cnt":"3","nm":"CEKER AYAM","price":"60,000"},{"cnt":"2","nm":"BAKPAO BKR C CRISPY","price":"42,000"},{"cnt":"3","nm":"TAHU GORENG CRISPY","price":"60,000"}],"sub_total":{"subtotal_price":"334,000"},"total":{"cashprice":"350,000","changeprice":"-16,000","menuqty_cnt":"16","menutype_cnt":"5","total_price":"334,000"}}
2	Which labels in the totals section are printed in bold text?	Total, CASH, and Cash CHANGE
3	What is the status of the text at the very top and very bottom of the receipt?	The text is blurred out and illegible.
4	For which items is the word 'CRISPY' placed on a separate line below the main name?	BAKPAO BKR C and TAHU GORENG

Example 4 — 4 turns on one image

#	question	answer
1	Extract the structured receipt information from the image. Return only a JSON object with the receipt fields.	{"menu":[{"cnt":"1","nm":"Coke (L)","price":"25.000"},{"cnt":"1","nm":"Extra Jelly Lychee","price":"5.000"},{"cnt":"1","nm":"Popcorn Salt (M)","price":"40.000"}],"total":{"cashprice":"70.000","changeprice":"0","total_price":"70.000"}}
2	What is the name of the cafe printed in the logo at the top of the receipt?	XXI café
3	What are the specific labels used for the payment amount and the change returned?	CASH and CHANGED
4	Describe the physical context of how the receipt is being presented.	The receipt is being held by a person's fingers, visible at the top left and bottom right corners.

Example 5 — 4 turns on one image

#	question	answer
1	Extract the structured receipt information from the image. Return only a JSON object with the receipt fields.	{"menu":{"cnt":"x1","nm":"CHEESE JOHN","num":"2005","price":"9.500,00","unitprice":"9.500,00"},"total":{"cashprice":"20.000,00","changeprice":"10.500,00","menuqty_cnt":"1","total_price":"9.500,00"}}
2	What specific text labels appear in the payment summary section at the bottom of the receipt?	The labels are 'Total.', 'Cash Tendered:', and 'Change:'.
3	Describe the visual imperfections visible on the receipt paper near the middle.	There are dark ink smudges or stains obscuring part of the area near the 'Total Items' line.
4	What object is visible at the very bottom edge of the image, below the receipt?	A metal clip or latch mechanism is visible.

Example 6 — 4 turns on one image

#	question	answer
1	Extract the structured receipt information from the image. Return only a JSON object with the receipt fields.	{"menu":[{"cnt":"1","nm":"THAI ICED COFFEE","price":"20.000","unitprice":"@20.000"},{"cnt":"1","nm":"THAI ICED GREEN TEA","price":"22.000","unitprice":"@22.000"}],"sub_total":{"subtotal_price":"42.000"},"total":{"cashprice":"42.000","changeprice":"0","total_price":"42.000"}}
2	What is the exact text label used for the final total amount on the receipt?	GRANDTOTAL
3	What is the exact text label for the subtotal?	SUB-TOTAL
4	Describe the graphic visible in the top left corner of the receipt.	A black silhouette of an animal head, resembling a bull or elephant.

Example 7 — 4 turns on one image

#	question	answer
1	Extract the structured receipt information from the image. Return only a JSON object with the receipt fields.	{"menu":{"cnt":"1x","nm":"Cheese Twist","price":"12.000","unitprice":"12.000"},"sub_total":{"subtotal_price":"12.000","tax_price":"1.200"},"total":{"emoneyprice":"13.200","total_price":"13.200"}}
2	What is the tax percentage listed on the receipt?	10.0%
3	What two icons are visible at the bottom left of the receipt?	A chain link icon and a camera icon.
4	Describe the surface on which the receipt is placed.	A light-colored wooden surface with visible grain.

Example 8 — 4 turns on one image

#	question	answer (cleaned)	org_answer (pre-judge)
1	Extract the structured receipt information from the image. Return only a JSON object with the receipt fields.	{"menu":{"cnt":"1","nm":"Classic Milktea Black [L]","price":"22,000"},"total":{"cashprice":"50,000","changeprice":"28,000","total_price":"22,000"}}	{"menu":{"cnt":"1","nm":"Classic Milktea","price":"22,000"},"total":{"cashprice":"50,000","changeprice":"28,000","total_price":"22,000"}}
2	What is the full name of the item purchased, including flavor and size?	Classic Milktea Black [L]	(unchanged)
3	What is holding the receipt in the image?	A person's hand	(unchanged)
4	What color object is visible in the top left corner of the image?	Blue fabric	(unchanged)

Example 9 — 3 turns on one image

#	question	answer (cleaned)	org_answer (pre-judge)
1	Extract the structured receipt information from the image. Return only a JSON object with the receipt fields.	{"items": [{"name": "Kupon 13", "price": "49,091"}], "subtotal": "49,091", "tax": {"name": "PBI (10%)", "price": "4,909"}, "total": {"name": "Dine In Total", "price": "54,000"}, "payment": {"cash": "Rp. 100,000", "change": "46,000"}}	{"menu":{"nm":"Kupon 13","price":"49,091"},"sub_total":{"subtotal_price":"49,091","tax_price":"4,909"},"total":{"cashprice":"Rp. 100,000","changeprice":"46,000","total_price":"54,000"}}
2	What color is the receipt paper?	Pink	(unchanged)
3	What is the status of the text at the top of the receipt?	It is blurred out.	(unchanged)

Example 10 — 4 turns on one image

#	question	answer
1	Extract the structured receipt information from the image. Return only a JSON object with the receipt fields.	{"menu":{"nm":"NASI 2SAYUR TELR","price":"15000"},"total":{"cashprice":"15000","menuqty_cnt":"1Q"}}
2	What surface is the receipt placed on?	A light-colored wooden table.
3	What are the text labels for the quantity and payment method?	"ITEMS" and "CASH".
4	What is the legible text at the very bottom of the receipt?	"TERIMA KASIH".

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cord_train_cleaned

How this was cleaned

answer vs org_answer