Datasets:
Tasks:
Visual Question Answering
Modalities:
Text
Formats:
parquet
Size:
1K - 10K
Tags:
benchability
License:
uid stringlengths 14 28 | source stringclasses 20
values | capability stringclasses 9
values | arm stringclasses 1
value | split_role stringclasses 1
value | question stringlengths 17 5.18k | answer stringlengths 1 1.53k | image dict |
|---|---|---|---|---|---|---|---|
figureqa-train-3419-10 | figureqa | chart_reasoning | eval | intervention | Is Violet Red the high median?
Answer yes or no. | No. | {
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figureqa-train-15686-3 | figureqa | chart_reasoning | eval | intervention | Is Dark Seafoam the maximum?
Answer yes or no. | No. | {
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figureqa-train-12282-2 | figureqa | chart_reasoning | eval | intervention | Is Turquoise the minimum?
Answer yes or no. | No. | {
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dvqa-train-14998-12 | dvqa | chart_reasoning | eval | intervention | Does the chart contain any negative values?
Provide a succinct answer. | No. | {
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plotqa-train-1039-48 | plotqa | chart_reasoning | eval | intervention | What is the difference between the Under 5 mortality rate (per 1,000 live births) of Under-5(female) in 2000 and that in 2015?
Give a very brief answer. | 48.6. | {
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dvqa-train-345-0 | dvqa | chart_reasoning | eval | intervention | How many objects are preferred by more than 6 people in at least one category?
Offer a terse response. | Three. | {
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plotqa-train-630-82 | plotqa | chart_reasoning | eval | intervention | What is the difference between the Amount exported (in US$) of Goods in 2009 and the Amount exported (in US$) of Services in 2013?
Your answer should be compact. | -2.48e+09. | {
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figureqa-train-15490-6 | figureqa | chart_reasoning | eval | intervention | Is Dark Orchid the low median?
Answer yes or no. | Yes. | {"bytes":"iVBORw0KGgoAAAANSUhEUgAAAj4AAAGQCAYAAACuzGqvAAAkk0lEQVR4nO3dCXTU1Rn38ScJARL2CMSENRHZkoACTX(...TRUNCATED) |
figureqa-train-15279-4 | figureqa | chart_reasoning | eval | intervention | Is Rosy Brown greater than Sky Blue?
Answer yes or no. | Yes. | {"bytes":"iVBORw0KGgoAAAANSUhEUgAAAnQAAAGQCAYAAAAnVP3GAAAuTUlEQVR4nO3dB3hUZfr38TshCSWAEiBA6AjSOyI2BA(...TRUNCATED) |
plotqa-train-1715-15 | plotqa | chart_reasoning | eval | intervention | "What is the difference between the highest and the lowest cost of damage caused due to the depletio(...TRUNCATED) | 1.24e+07. | {"bytes":"iVBORw0KGgoAAAANSUhEUgAABUEAAAK8CAYAAADBM37pAAB5hElEQVR4nO3dB5icVdk/4Gc3PQECgRCMdIgJoBQpCt(...TRUNCATED) |
End of preview. Expand in Data Studio
NOT the Figure 4 evaluation set
Kept for transparency, but superseded. This is a held-out in-domain dev split (10% of the training pool, by image) that an earlier draft of the pipeline used for scoring.
Figure 4 is not scored with this. It is scored with lmms-eval's official task implementations over ChartQA / DocVQA val / InfoVQA val / OCRBench / TextVQA val / CharXiv -- the same instrument that produced Figures 1-3 -- because the gaps that decided the training mixture were measured there, and a gain measured with a different prompt and metric is not comparable to the gap it is meant to close.
What this set is still good for: a fast in-domain check that training moved a capability at all, before committing GPU hours to the full official evaluation. It cannot separate "learned the capability" from "learned these 20 datasets".
| capability | n |
|---|---|
| chart_reading / chart_reasoning | 250 / 250 |
| table_lookup / table_reasoning | 250 / 250 |
| document_qa / document_text_reading | 250 / 250 |
| diagram_and_infographic_understanding | 250 |
| scene_text_recognition | 250 |
| key_information_extraction | 168 (all that exists) |
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