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.

This dataset supersedes an earlier upload of the same family that was built from the pre-clean pool. That version carried the uncorrected answers and has been deleted.

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 this org.

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 — 8 turns on one image

#	question	answer
1	What boats were lost on may 5?	U-638, U-531.
2	Who were the captains of those boats?	Oskar Staudinger, Herbert Neckel.
3	Which captain was not oskar staudinger?	Herbert Neckel.
4	What U-boat was lost on 4 May 1943?	U-209
5	Who was the captain of U-209?	Heinrich Brodda
6	What sank U-209?	Catalina Flying-boat of No. 5 Squadron RCAF
7	Which U-boats were lost on 6 May 1943?	U-192, U-125, U-630, U-438
8	How many casualties were reported for U-192?	55

Example 2 — 18 turns on one image

#	question	answer
1	Which players are listed?	Lau Nim Yat, Leung Chun Pong, Yeo Jee-Hoon, Xu Deshuai, Li Haiqiang, Giovane Alves da Silva, Zhang Chunhui, Chan Pak Hang, Chan Siu Ki, Kot Cho Wai, Wong Chin Hung, Mauro Rafael da Silva.
2	Which dates were players transferred to the biu chun rangers?	5 June 2012, 9 July 2012, 9 January 2013.
3	Of those which is the date for wong chin hung?	9 January 2013.
4	Which athletes participated in the 2012-13 south china aa season?	Lau Nim Yat, Leung Chun Pong, Yeo Jee-Hoon, Xu Deshuai, Li Haiqiang, Giovane Alves da Silva, Zhang Chunhui, Chan Pak Hang, Chan Siu Ki, Kot Cho Wai, Wong Chin Hung, Mauro Rafael da Silva.
5	Among them, who were free transfers that weren't let go?	Lau Nim Yat, Leung Chun Pong, Wong Chin Hung, Mauro Rafael da Silva.
6	From these, who belonged to squad # 6?	Wong Chin Hung.
7	When was their transfer date?	9 January 2013.
8	What positions are listed in the table?	DF, MF, FW, GK
9	What was the transfer fee for Kot Cho Wai?	undisclosed
10	Which player is listed as a Goalkeeper (GK)?	Zhang Chunhui
11	When was Leung Chun Pong transferred?	12 June 2012
12	On what date was Chan Siu Ki transferred?	10 July 2012
13	When was Mauro Rafael da Silva transferred?	1 February 2013
14	Which players were transferred to Sun Pegasus?	Xu Deshuai, Chan Pak Hang
15	Which players were transferred to Guangdong Sunray Cave?	Leung Chun Pong, Chan Siu Ki
16	Which players were transferred to Sunray Cave JC Sun Hei?	Zhang Chunhui, Kot Cho Wai
17	Which players were transferred to Unattached (Released)?	Yeo Jee-Hoon, Mauro Rafael da Silva
18	Which player was transferred to Tuen Mun?	Li Haiqiang

Example 3 — 20 turns on one image

#	question	answer (cleaned)	org_answer (pre-judge)
1	What are all the cities?	Jianghai District, Pengjiang District, Xinhui District, Enping, Taishan, Kaiping, Heshan.	(unchanged)
2	Of these, which are satellite cities?	Enping, Taishan, Kaiping, Heshan.	(unchanged)
3	For these, what are their populations?	492,814, 941,087, 697,395, 494,935.	(unchanged)
4	Of these, which is the largest?	941,087.	(unchanged)
5	Which city has this population?	Taishan.	(unchanged)
6	What are the subsidiary cities of jiangmen?	Enping, Taishan, Kaiping, Heshan.	(unchanged)
7	Among these cities, which has the greatest density?	Heshan	Taishan.
8	What are all the urban areas?	Jianghai District, Pengjiang District, Xinhui District, Enping, Taishan, Kaiping, Heshan.	(unchanged)
9	Of these, which are categorized as satellite cities?	Enping, Taishan, Kaiping, Heshan.	(unchanged)
10	For these, what are their population figures?	492,814, 941,087, 697,395, 494,935.	(unchanged)
11	Of these, which has the highest population?	941,087.	(unchanged)
12	Which city possesses this population?	Taishan.	(unchanged)
13	What towns can be found in jiangmen?	Jianghai District, Pengjiang District, Xinhui District, Enping, Taishan, Kaiping, Heshan.	(unchanged)
14	Out of those, which ones are considered a proper city?	Jianghai District, Pengjiang District, Xinhui District.	(unchanged)
15	Out of those, which one occupies the smallest area in km2?	Jianghai District.	(unchanged)
16	What is the Hanzi for Jianghai District?	江海区	(unchanged)
17	What is the Hanyu Pinyin for Pengjiang District?	Péngjiāng Qū	(unchanged)
18	What is the population of Xinhui District?	849,155	(unchanged)
19	What is the area of Enping in km²?	1,698	(unchanged)
20	What is the density of Kaiping?	420.37	(unchanged)

Example 4 — 11 turns on one image

#	question	answer
1	What was the names of all the players?	Raymond van Barneveld, Raymond van Barneveld, Adrian Lewis, Dean Winstanley, Michael van Gerwen, Terry Jenkins, Kyle Anderson.
2	What years were the championship offered?	2009, 2010, 2011, 2013, 2013, 2014, 2014.
3	Of these, who played in 2011?	Adrian Lewis.
4	What are all the years available?	2009, 2010, 2011, 2013, 2013, 2014, 2014.
5	Among them, which ones correspond to 2014?	2014, 2014.
6	From these dates, which one is related to a player other than kyle anderson?	2014.
7	What is the name of the player connected to this year?	Terry Jenkins.
8	Who was the opponent of Raymond van Barneveld in the 2009 Quarter-Final?	Jelle Klaasen
9	What was the result for Dean Winstanley in the 2013 2nd Round?	Lost
10	Which round did Michael van Gerwen reach in 2013?	Semi Final
11	Who did Adrian Lewis defeat in the 2011 Final?	Gary Anderson

Example 5 — 8 turns on one image

#	question	answer
1	What are the heights of the peaks?	14,505 ft\n4421 m, 14,379 ft\n4383 m, 14,252 ft\n4344 m, 14,248 ft\n4343 m, 14,179 ft\n4322 m, 13,992 ft\n4265 m, 13,982 ft\n4262 m, 13,837 ft\n4218 m, 13,807 ft\n4209 m, 13,758 ft\n4193 m, 13,747 ft\n4190 m, 13,657 ft\n4163 m, 13,565 ft\n4135 m, 13,500 ft\n4115 m, 13,162 ft\n4012 m, 13,149 ft\n4008 m.
2	Which of these heights is tallest?	14,505 ft\n4421 m.
3	What peak is 14,505 feet?	Mount Whitney.
4	Which mountain chain does Mount Shasta belong to?	Cascade Range
5	What is the distinctness of Mount Whitney?	10,080 ft/3072 m
6	Which peak has the greatest remoteness?	Mount Shasta (335 mi/539 km)
7	What are the coordinates for Mount Williamson?	36°39'21"N 118°18'40"W / 36.6559°N 118.3111°W
8	Which peaks are listed under the White Mountains chain?	White Mountain Peak and Mount Dubois

Example 6 — 7 turns on one image

#	question	answer
1	What are all of the titles?	American McGee's Grimm, DexIQ, American McGee Presents Akaneiro, American McGee's Crooked House, Alice: Madness Returns, BigHead Bash, Crazy Fairies, Akaneiro: Demon Hunters.
2	Who published each title?	GameTap, , , , Electronic Arts, TBA, TBA, Spicy Horse.
3	Which game was published by electronics arts?	Alice: Madness Returns.
4	What are the release years for the games listed?	2008, 2009, 2010, 2010, 2011, 2012, 2012, 2013.
5	Which creator is associated with 'DexIQ'?	Spicy Pony.
6	What devices are listed for 'Alice: Madness Returns'?	PlayStation 3, Xbox 360, PC.
7	What is the remark for 'Akaneiro: Demon Hunters'?	A Japanese/McGee take on Little Red Riding Hood.

Example 7 — 3 turns on one image

#	question	answer
1	What are the notes	DQ, 1:23.47, 1:21:32, DNF, DNF, DQ, 18:35.91, DQ, DQ, 3:45:57, 3:45.57, 1:21:13, 3:43:30, 3:44:46, 3:43:51, 1:20:52, DQ, 1:18:29, 1:18:59 (OR), 3:42:22, 3:42.08, 1:19:52.0, 3:36:39 (WR), 3:36:03, 3:38:46.
2	What time does the notes for 2004 show	3:38:46.
3	Could you help me parse every detail presented in this table?	{'header': ['Year', 'Tournament', 'Site', 'Placement', 'Happening', 'Comments'], 'rows': [['1987', 'European Junior Championships', 'Birmingham, United Kingdom', '–', '20\xa0km walk', 'DQ'], ['1990', 'European Championships', 'Split, Yugoslavia', '4th', '20\xa0km walk', '1:23.47'], ['1991', 'World Championships', 'Tokyo, Japan', '10th', '20\xa0km walk', '1:21:32'], ['1991', 'World Championships', 'Tokyo, Japan', '–', '50\xa0km walk', 'DNF'], ['1992', 'Olympic Games', 'Barcelona, Spain', '–', '20\xa0km walk', 'DNF'], ['1992', 'Olympic Games', 'Barcelona, Spain', '–', '50\xa0km walk', 'DQ'], ['1993', 'World Indoor Championships', 'Toronto, Canada', '2nd', '5000 m walk', '18:35.91'], ['1993', 'World Championships', 'Stuttgart, Germany', '–', '50\xa0km walk', 'DQ'], ['1994', 'European Championships', 'Helsinki, Finland', '–', '50\xa0km walk', 'DQ'], ['1994', 'European Championships', 'Helsinki, Finland', '5th', '50\xa0km walk', '3:45:57'], ['1995', 'World Championships', 'Gothenburg, Sweden', '3rd', '50\xa0km walk', '3:45.57'], ['1996', 'Olympic Games', 'Atlanta, United States', '8th', '20\xa0km walk', '1:21:13'], ['1996', 'Olympic Games', 'Atlanta, United States', '1st', '50\xa0km walk', '3:43:30'], ['1997', 'World Championships', 'Athens, Greece', '1st', '50\xa0km walk', '3:44:46'], ['1998', 'European Championships', 'Budapest, Hungary', '1st', '50\xa0km walk', '3:43:51'], ['1999', 'World Race Walking Cup', 'Mézidon-Canon, France', '4th', '20\xa0km walk', '1:20:52'], ['1999', 'World Championships', 'Seville, Spain', '–', '50\xa0km walk', 'DQ'], ['2000', 'European Race Walking Cup', 'Eisenhüttenstadt, Germany', '1st', '20\xa0km walk', '1:18:29'], ['2000', 'Olympic Games', 'Sydney, Australia', '1st', '20\xa0km walk', '1:18:59 (OR)'], ['2000', 'Olympic Games', 'Sydney, Australia', '1st', '50\xa0km walk', '3:42:22'], ['2001', 'World Championships', 'Edmonton, Canada', '1st', '50\xa0km walk', '3:42.08'], ['2001', 'Goodwill Games', 'Brisbane, Australia', '2nd', '20,000 m walk', '1:19:52.0'], ['2002', 'European Championships', 'Munich, Germany', '1st', '50\xa0km walk', '3:36:39 (WR)'], ['2003', 'World Championships', 'Paris, France', '1st', '50\xa0km walk', '3:36:03'], ['2004', 'Olympic Games', 'Athens, Greece', '1st', '50\xa0km walk', '3:38:46']]}

Example 8 — 7 turns on one image

#	question	answer
1	What are the results?	5–0, 3–2[citation needed], 3–2, 4–2, 3–0, 4–0, 5–2, 4–3, 5–2, 5–3[citation needed], 4–2, 4–0, 3–3, 4–3.
2	What result did mark robins have?	3–2[citation needed].
3	What other player had that result?	John Hendrie.
4	What are the column headers of the table?	Competitor, Supporting, Contrary, Conclusion, Occasion
5	Which player supported Leeds United against Tottenham Hotspur?	Eric Cantona
6	On what date did the match involving Brian Deane take place?	16 January 1993
7	Which team did Matthew Le Tissier support?	Southampton

Example 9 — 12 turns on one image

#	question	answer (cleaned)	org_answer (pre-judge)
1	What were all the teams that competed in 1926 brazilian football?	Palestra Itália-SP, Auto, Corinthians, Santos, Sílex, Sírio, Ypiranga-SP, Portuguesa, AA São Bento, SC Internacional de São Paulo.	(unchanged)
2	Which of these had zero games lost?	Palestra Itália-SP.	(unchanged)
3	Analyze the correlation between the number of points earned and the position of the teams in the 1926 Brazilian football championship.	Upon examining the table, we can observe a strong correlation between the number of points earned and the position of the teams. The top-ranked team, Palestra Itália-SP, earned the most points (18), while the lowest-ranked team, SC Internacional de São Paulo, earned the fewest points (1). Furthermore, the number of points earned tends to decrease as we move down the ranking, with a few exceptions, such as Santos and Corinthians, which have similar point totals but differed in their ranking. This correlation suggests that the point system used in the 1926 Brazilian football championship effectively captured the relative performance of each team. The points earned by each team can be seen as a proxy for their overall strength and competitiveness during the season. Additionally, this analysis can be used to make predictions about future performances based on past results.	(unchanged)
4	Investigate the relationship between the number of drawn games and the final position of the teams in the 1926 Brazilian football championship.	Upon examining the table, we can observe that teams with more drawn games tend to have lower final positions. The teams with the most drawn games, Portuguesa and Sílex, are ranked 8th and 5th, respectively. In contrast, the top-ranked team, Palestra Itália-SP, did not have any drawn games. This suggests that winning games is more important than drawing games in determining the final position of a team. Drawing games indicates a lack of dominance or consistency, which can hinder a team's progress in the championship. However, it's also important to note that drawing games can be beneficial in certain situations, such as when a team is facing strong opposition or when they are already leading the championship.	(unchanged)
5	Compare the performance of teams with similar point totals but differing rankings, and discuss the implications for team strategy and decision-making.	The teams with similar point totals are Sírio (7 points, 6th place), Ypiranga-SP (7 points, 7th place), and Portuguesa (7 points, 8th place). Although they have the same points, their rankings differ based on goal difference and wins. Sírio has the best goal difference (1) and most wins (3), placing them 6th. Ypiranga-SP has the same wins (3) but a worse goal difference (-6), placing them 7th. Portuguesa has fewer wins (2) and the worst goal difference (-9), placing them 8th.	Upon examining the table, we can identify two teams with similar point totals but differing rankings: Santos (11 points, 4th place) and Corinthians (13 points, 3rd place). Although Santos earned fewer points, they are ranked higher due to their better goal difference. This comparison highlights the importance of goal difference as a tiebreaker in team rankings. It also suggests that team strategy and decision-making should prioritize both earning points and managing goal difference. A team like Santos, with a narrow goal difference, may focus on defensive solidity to maintain their ranking, while a team like Corinthians, with a more substantial goal difference, may focus on attacking prowess to improve their ranking. This analysis can be applied to real-world team management, where coaches and managers must balance their team's performance in different aspects of the game to achieve success. By understanding the nuances of team performance, they can make informed decisions about player selection, tactics, and resource allocation.
6	Devise a hypothetical scenario in which a team with a seemingly strong performance, such as Palestra Itália-SP, could still be vulnerable to relegation.	One hypothetical scenario could be if the championship rules were changed to prioritize 'Drawn' games over points earned. In this scenario, a team like Palestra Itália-SP, which has 0 drawn games, could be vulnerable if other teams with similar point totals have significantly more drawn games. For example, Portuguesa has 3 drawn games. If draws were weighted heavily, Portuguesa might rank higher. This scenario highlights the importance of considering multiple performance metrics.	One hypothetical scenario could be if the championship rules were changed to prioritize goal difference over points earned. In this scenario, a team like Palestra Itália-SP, which has a relatively narrow goal difference (25), could be vulnerable to relegation if other teams with similar point totals have significantly better goal differences. For example, if the rules were changed to prioritize goal difference, a team like Corinthians, which has a better goal difference (17) than Palestra Itália-SP, could potentially overtake them in the rankings, even if they earn fewer points. This scenario highlights the importance of considering multiple performance metrics and adapting to changing circumstances in team management. In real-world football, teams must be prepared to adapt to changes in championship rules, opponent strategies, and player injuries. By developing a nuanced understanding of team performance and its various components, coaches and managers can minimize vulnerabilities and maximize their team's chances of success.
7	What are the column headers visible in the table?	Points, Drawn, For, Position, Team, Won, Lost, Difference, Against, Played.	(unchanged)
8	How many games did each team play in this championship?	9	(unchanged)
9	Which team scored the most goals ('For') and how many?	Palestra Itália-SP with 33 goals.	(unchanged)
10	Which team conceded the most goals ('Against')?	AA São Bento with 31 goals.	(unchanged)
11	What is the goal difference for the team in 9th position?	-22 (AA São Bento).	(unchanged)
12	Which team has the highest number of wins ('Won')?	Palestra Itália-SP with 9 wins.	(unchanged)

Example 10 — 7 turns on one image

#	question	answer (cleaned)	org_answer (pre-judge)
1	Which of these products are discontinued?	Crest Whitestrips Classic previously Crest Whitestrips, Crest Whitestrips Professional, Crest Whitestrips Premium, Crest Whitestrips Pro previously Crest Whitestrips Premium Plus, Crest Whitestrips Daily Multicare, Crest Whitestrips Advanced Seal.	Crest Whitestrips Classic\npreviously Crest Whitestrips, Crest Whitestrips Professional, Crest Whitestrips Premium, Crest Whitestrips Pro\npreviously Crest Whitestrips Premium Plus, Crest Whitestrips Renewal, Crest Whitestrips Daily Multicare, Crest Whitestrips Advanced Seal.
2	Which of these products have a 14 day length of use?	Crest Whitestrips Classic previously Crest Whitestrips, Crest Whitestrips Advanced Seal, Crest Whitestrips 3D Advanced Vivid.	Crest Whitestrips Classic\npreviously Crest Whitestrips, Crest Whitestrips Advanced Seal.
3	Which of these products was introduced in 2009?	Crest Whitestrips Advanced Seal, Crest Whitestrips 3D Vivid.	Crest Whitestrips Advanced Seal.
4	What is the availability status for Crest Whitestrips Supreme?	Dentist and online	(unchanged)
5	Which product has a length of use listed as 'Daily'?	Crest Whitestrips Daily Multicare	(unchanged)
6	What is the 'Last of whiteness' for Crest Whitestrips Daily Multicare?	White after using system	(unchanged)
7	Which products were introduced in March 2010?	Crest Whitestrips 3D Advanced Vivid, Crest Whitestrips 3D Professional Effects	(unchanged)

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robut_sqa_cleaned

How this was cleaned

answer vs org_answer