imageszlab-princeton/Vero-600kvisual-reasoningreinforcement-learningmultimodalvision-languagevlmrl-trainingimage-textapache-2.0

Vero-600K: Multi-Task Visual Reasoning RL Dataset

Category
Images
Records
606,000 rows
Format
PARQUET
Update Frequency
One-time snapshot
Collection Method
auto_imported_huggingface_federated
PII
None detected
File Size
~408539.39 MB
Downloads
0

About this data

600K curated reinforcement learning samples from 59 datasets across 6 visual reasoning categories for training and evaluating vision-language models.

Schema

NameTypeDescription
idVARCHARUnique identifier combining source dataset name, sample index, and hash
data_sourceVARCHARName of the originating dataset among 59 sources (e.g., geo170k, chartqa)
promptSTRUCT("role" VARCHAR[], "content" VARCHAR[])Conversation structure with role (user/assistant) and content strings for VLM input
abilityVARCHARVisual reasoning category: stem, chart_ocr, spatial_action, or other of 6 types
reward_modelSTRUCT(style VARCHAR, ground_truth VARCHAR)Reward signal specification with style (rule/learned) and ground_truth answer
extra_infoSTRUCT(split VARCHAR, "index" BIGINT, "domain" VARCHAR, answer VARCHAR, question VARCHAR, reward_type VARCHAR, tolerance DOUBLE)Metadata including train/val/test split, source domain, question text, answer, reward type, and tolerance threshold
imageSTRUCT(bytes BLOB, path VARCHAR)Visual input as binary blob and/or file path reference

Sample Data

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Free

Open dataset

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search_datasets({ query: "Vero-600K: Multi-Task Visual R" })
// Found: 16ddd4b5-805d-482c-85fa-bac79745d51f
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