prompt listlengths 2 2 | images images listlengths 1 1 | data_source stringclasses 1
value | reward_model dict | extra_info dict | ability stringclasses 1
value | env_name stringclasses 1
value |
|---|---|---|---|---|---|---|
[
{
"content": "",
"role": "system"
},
{
"content": "<image>\nwhat are the total number of deaths in prisons and camps?\nThink first, call **image_zoom_in_tool** if needed, then answer. Format strictly as: <think>...</think> <tool_call>...</tool_call> (if tools needed) <answer>...</answer> ",
"rol... | tableqa | {
"ground_truth": "1,146,000"
} | {
"answer": "1,146,000",
"figure_id": "nu-2989",
"figure_path": "data/tablevqabench/images/nu-2989.jpg",
"index": "tableqa_tableqa_300",
"question": "what are the total number of deaths in prisons and camps?"
} | tableqa | visual_toolbox_v2 | |
[
{
"content": "",
"role": "system"
},
{
"content": "<image>\nhow many drivers had the constructor tyrell-renault?\nThink first, call **image_zoom_in_tool** if needed, then answer. Format strictly as: <think>...</think> <tool_call>...</tool_call> (if tools needed) <answer>...</answer> ",
"role": "... | tableqa | {
"ground_truth": "2"
} | {
"answer": "2",
"figure_id": "nu-1542",
"figure_path": "data/tablevqabench/images/nu-1542.jpg",
"index": "tableqa_tableqa_301",
"question": "how many drivers had the constructor tyrell-renault?"
} | tableqa | visual_toolbox_v2 | |
[
{
"content": "",
"role": "system"
},
{
"content": "<image>\nname a match that was in the same month as the one in atlanta, georgia.\nThink first, call **image_zoom_in_tool** if needed, then answer. Format strictly as: <think>...</think> <tool_call>...</tool_call> (if tools needed) <answer>...</answe... | tableqa | {
"ground_truth": "Pinehurst, USA"
} | {
"answer": "Pinehurst, USA",
"figure_id": "nu-597",
"figure_path": "data/tablevqabench/images/nu-597.jpg",
"index": "tableqa_tableqa_302",
"question": "name a match that was in the same month as the one in atlanta, georgia."
} | tableqa | visual_toolbox_v2 | |
[
{
"content": "",
"role": "system"
},
{
"content": "<image>\nhow many wins did did the cardinals accumulate in the 1998 regular season?\nThink first, call **image_zoom_in_tool** if needed, then answer. Format strictly as: <think>...</think> <tool_call>...</tool_call> (if tools needed) <answer>...</an... | tableqa | {
"ground_truth": "9"
} | {
"answer": "9",
"figure_id": "nu-4241",
"figure_path": "data/tablevqabench/images/nu-4241.jpg",
"index": "tableqa_tableqa_303",
"question": "how many wins did did the cardinals accumulate in the 1998 regular season?"
} | tableqa | visual_toolbox_v2 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.