Datasets:
- How this was cleaned
answervsorg_answer- Schema
- What is NOT claimed
- Examples
- Example 1 β 8 turns on one image
- Example 2 β 10 turns on one image
- Example 3 β 8 turns on one image
- Example 4 β 7 turns on one image
- Example 5 β 8 turns on one image
- Example 6 β 6 turns on one image
- Example 7 β 9 turns on one image
- Example 8 β 5 turns on one image
- Example 9 β 5 turns on one image
- Example 10 β 5 turns on one image
- Example 1 β 8 turns on one image
lrv_chart_cleaned
The lrv_chart__x family of the ElliotVL supervised-fine-tuning pool, after VLM cleaning.
| images | 2,727 |
| QA turns | 17,498 |
| answers rewritten by the cleaning pass | 2,562 |
QA created by the cleaning pass (new_qa) |
10,429 (59.6%) |
| 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 β 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 β a curve's critical point restated from 4.00 to 2.00, a computed ratio from 1 to
Approximately 1.33 β 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
answerβ the cleaned answer. Train on this.org_answerβ 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
imageβ HFImage(), renders directly in the dataset viewerimage_sha256β content hash of the imagen_qaβ number of turns attached to this imageqaβ list of {question,answer,org_answer}, in source orderfamily/clean_metaβ 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 β 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 β 8 turns on one image
| # | question | answer (cleaned) | org_answer (pre-judge) |
|---|---|---|---|
| 1 | Which two brands have the least number of interactions? |
Maybelline and Primark have the least number of interactions, around 35 million. | Maybelene and primakr have the least number of interactions, around 30M. |
| 2 | What is the title of the bar chart and what does it measure? | The title of the bar chart is "Leading beauty and fashion brands ranked by Instagram user engagement as of May 2017 (in million interactions)". It measures the number of combined likes and comments. | (unchanged) |
| 3 | Offer a thorough analysis of the image. | Hypebeast has the most likes and comments of these brands. Maybelline and primark jointly have the lowest number of likes and comments. | (unchanged) |
| 4 | How many interactions does Hypebeast have? | Hypebeast has approximately 130 million interactions, as indicated by the bar extending past the 120 mark. | The number of interactions for Hypebeast is not specified in the given description. |
| 5 | Do Maybelene and primakr have the most number of interactions, around 30M? | No. Maybelline and Primark have the least number of interactions, around 35 million. | No. Maybelene and primakr have the least number of interactions, around 30M. |
| 6 | Which brand has the second highest number of interactions? | anastasiabeverlyhills | (unchanged) |
| 7 | Approximately how many interactions does maccosmetics have? | Around 65 million interactions. | (unchanged) |
| 8 | Which brands have engagement levels just under 40 million? | dior, gucci, and vspink. | (unchanged) |
Example 2 β 10 turns on one image
| # | question | answer (cleaned) | org_answer (pre-judge) |
|---|---|---|---|
| 1 | When did the increase in (whatever is being referred to) start? |
The increase in (whatever is being referred to) started in 1990. | (unchanged) |
| 2 | When did the increase in (whatever is being referred to) start to level out? | The increase in (whatever is being referred to) started to level out from 2014. | (unchanged) |
| 3 | Is there any noticeable variability in the increase over the years? | Yes, there is variability. The rate of increase changes over time (e.g., steeper between 2005-2010), and after peaking around 2014, the numbers fluctuate rather than remaining perfectly consistent. | No, there is no noticeable variability in the increase. It has been steadily increasing until 2014 and remained consistent since then. |
| 4 | Did the decrease in (whatever is being referred to) start in 1990? | No.The increase in (whatever is being referred to) started in 1990. | (unchanged) |
| 5 | Did the decrease in (whatever is being referred to) start to level out from 2014? | No.The increase in (whatever is being referred to) started to level out from 2014. | (unchanged) |
| 6 | What is the full title of the chart? | Number of Hispanic families with a single mother in the U.S. from 1990 to 2019 (in 1,000s) | (unchanged) |
| 7 | What is the label on the vertical y-axis? | Families in thousands | (unchanged) |
| 8 | What is the label on the horizontal x-axis? | Year | (unchanged) |
| 9 | Approximately how many families (in thousands) were recorded in 1990? | Around 1,200 | (unchanged) |
| 10 | What was the approximate peak value shown on the chart? | Around 3,300 to 3,400 (in thousands) | (unchanged) |
Example 3 β 8 turns on one image
| # | question | answer (cleaned) | org_answer (pre-judge) |
|---|---|---|---|
| 1 | What is the range of the y-axis in the area chart? |
The y-axis ranges from 0 to 20,000 million cubic feet. | (unchanged) |
| 2 | Offer a thorough analysis of the image. | Consumption has increased from 2011 and has gradually settled in 2016. | (unchanged) |
| 3 | What is the highest consumption value shown in the area chart? | The highest consumption value shown is approximately 18,000 to 19,000 million cubic feet (in 2006), which is below the 20,000 axis limit. | The highest consumption value shown in the area chart is 20,000 million cubic feet. |
| 4 | What is the unit of measurement for the y-axis in the area chart? | The y-axis is measured in million cubic feet. | (unchanged) |
| 5 | Does the y-axis range from 0 to 20 million cubic feet? | No. The y-axis ranges from 0 to 20,000 million cubic feet. | (unchanged) |
| 6 | What is the full title of the chart? | Total United States industrial roundwood consumption from 2006 to 2017 (in million cubic feet) | (unchanged) |
| 7 | What are the specific year labels marked on the x-axis? | 2006, 2008, 2010, 2012, 2014, 2016 | (unchanged) |
| 8 | What are the numerical intervals marked on the y-axis? | 0, 5,000, 10,000, 15,000, 20,000 | (unchanged) |
Example 4 β 7 turns on one image
| # | question | answer (cleaned) | org_answer (pre-judge) |
|---|---|---|---|
| 1 | How much cargo did Mormugao handle? |
Mormugao handled the least amount of cargo, with just about 19 million tonnes. | (unchanged) |
| 2 | What is the unit of measurement for the volume shown on the bar graph? | The unit of measurement for the volume shown on the bar graph is million metric tons. | (unchanged) |
| 3 | Offer a thorough analysis of the image. | Deendayal handled by far the most cargo, approximately 118 million tonnes, 2nd was Paradip with roughly 110 million tonnes. Mormugao was the port handling the least with just about 19 million tonnes. | Deendayal handed by far the most cargo, approximately 118 million tonnes, 2nd was paradise with roughly 114 million tonnes. Mormugao was the port handling the least with just about 19 million tonnes. |
| 4 | Did Mormugao handle the highest amount of cargo, with just about 19 million tonnes? | No.Mormugao handled the least amount of cargo, with just about 19 million tonnes. | (unchanged) |
| 5 | What specific financial year and country does the chart title refer to? | The chart refers to the financial year 2019 in India. | (unchanged) |
| 6 | Which port handled the second highest volume of cargo? | Paradip handled the second highest volume of cargo. | (unchanged) |
| 7 | Approximately how much cargo did the J L Nehru port handle? | The J L Nehru port handled approximately 70 million metric tons of cargo. | (unchanged) |
Example 5 β 8 turns on one image
| # | question | answer |
|---|---|---|
| 1 | What is the range for the x-axis on the line diagram? |
The x-axis on the line diagram measures Year with a linear scale ranging from 2010 to 2018. |
| 2 | What does the line diagram represent? | The line diagram represents the pre-tax pre-provision profit of Wells Fargo from 2009 to 2019 in billion U.S. dollars. |
| 3 | What is the minimum year value shown on the x-axis of the line diagram? | The minimum year value shown on the x-axis of the line diagram is 2010. |
| 4 | Did Wells Fargo experience a decrease in pre-tax pre-provision profits from 2009 to 2019? | Yes, Wells Fargo's pre-tax pre-provision profits decreased from 40 billion in 2009 to about 27 billion in 2019. |
| 5 | Does the x-axis on the line diagram measure Height with a logarithmic scale ranging from 100 to 1000? | No. The x-axis on the line diagram measures Year with a linear scale ranging from 2010 to 2018. |
| 6 | What is the text label for the vertical y-axis? | Pre-tax profit in billion U.S. dollars |
| 7 | What are the numerical values marked on the y-axis? | The y-axis is marked with values 0, 10, 20, 30, and 40. |
| 8 | Which specific years are labeled on the x-axis? | The years labeled on the x-axis are 2010, 2012, 2014, 2016, and 2018. |
Example 6 β 6 turns on one image
| # | question | answer (cleaned) | org_answer (pre-judge) |
|---|---|---|---|
| 1 | How many international visitors does Bali have? |
Bali also has roughly 8 million international visitors. | (unchanged) |
| 2 | Which cities have the least number of international visitors? | Hong Kong and Bali have the least number of international visitors, with a number of roughly 8 million people. | (unchanged) |
| 3 | Offer a thorough analysis of the image. | Bangkok has the most international visitors with over 20 million people visiting the city. Hong Kong and Bali have the least number of visitors with a number of roughly 8 million people. Singapore is the second most visited after Bangkok. | Bangkok has the most international visitors with over 20 million people visiting the city. Hong Kong and Bali have the least number of visitors with a number of roughly 8 million people. Kuala Lampur is the second most visited after Bangkok. |
| 4 | What is the full title of the chart? | Number of international overnight visitors in the Asia Pacific region in 2018 , by city (in millions) | (unchanged) |
| 5 | Which city has the second highest number of visitors? | Singapore | (unchanged) |
| 6 | What is the label on the x-axis? | Number of visitors in millions | (unchanged) |
Example 7 β 9 turns on one image
| # | question | answer |
|---|---|---|
| 1 | What does the x-axis represent in the bar chart? |
The x-axis represents the different types of properties affected by arson offenses in the United States in 2019. |
| 2 | What does the bar chart depict in terms of the United States and arson offenses in 2019? | The bar chart provides a visual representation of the number of arson offenses committed in the United States in 2019, categorized by different types of properties. |
| 3 | How is the data represented in the chart? | The data is represented through bars, where each bar corresponds to a type of property, and its height represents the number of arson offenses for that particular property type. |
| 4 | What is the exact title of the chart? | Number of arson offenses in the United States in 2019 , by type |
| 5 | What is the label for the vertical axis? | Number of offenses |
| 6 | What is the label for the horizontal axis? | Type of property |
| 7 | List the specific property categories shown on the x-axis from left to right. | Community/public, Industrial/manufacturing, Mobiles (total), Motor vehicles, Other, Other commercial, Other mobile, Other residential, Other structure, Single occupancy residential, Storage, Structures (total), Total |
| 8 | Approximately how many offenses does the 'Total' bar represent? | Approximately 32,500 |
| 9 | Which category has the second highest bar? | Structures (total) |
Example 8 β 5 turns on one image
| # | question | answer |
|---|---|---|
| 1 | Has the fertility rate increased or decreased since 2008? |
The fertility rate has decreased since 2008. |
| 2 | Which country is the subject of this chart? | Turkey |
| 3 | What is the subtitle text below the main title? | Children born per woman |
| 4 | What years are explicitly labeled on the x-axis? | 2008, 2010, 2012, 2014, 2016 |
| 5 | What is the highest numerical value labeled on the y-axis? | 2.0 |
Example 9 β 5 turns on one image
| # | question | answer (cleaned) | org_answer (pre-judge) |
|---|---|---|---|
| 1 | What does the chart show about the number of Spanish and International albums sold in Spain? |
The chart shows that the highest number of International albums in the top 50 occurred around 2013. | The chart shows that the highest number of Spanish and International albums sold in Spain occurred around 2013. |
| 2 | When did the peak in album sales in Spain occur? | The peak in the number of International albums in the top 50 occurred around 2013. | The peak in album sales in Spain occurred around 2013. |
| 3 | What is the full title of the chart? | Distribution of the 50 most sold Spanish and international albums in Spain between 2004 and 2019 | (unchanged) |
| 4 | What category of albums does the line graph represent? | International | (unchanged) |
| 5 | What specific years are labeled on the horizontal axis? | 2004, 2008, 2012, 2016 | (unchanged) |
Example 10 β 5 turns on one image
| # | question | answer (cleaned) | org_answer (pre-judge) |
|---|---|---|---|
| 1 | What was the most valuable type of machinery manufacturing in the US in 2006? |
Transport equipment. | (unchanged) |
| 2 | Offer a thorough analysis of the image. | The chart displays U.S. manufacturing shipments e-commerce value by sector for the year 2006. Transportation equipment manufacturing had the highest value, exceeding 400,000 million U.S. dollars. Food manufacturing was the second highest. | Transport equipment was the most valuable type of machinery manufacturing in the US in 2006. |
| 3 | What is the full title of the chart? | U.S. manufacturing shipments e-commerce value from 2003 to 2018 , by sector (in millions U.S. dollars) | (unchanged) |
| 4 | Which specific year is labeled at the bottom of the chart? | 2006 | (unchanged) |
| 5 | Which sector has the second longest bar in the chart? | Food manufacturing | (unchanged) |
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