images listlengths 2 2 | data_source large_stringclasses 4
values | prompt listlengths 2 2 | ability large_stringclasses 4
values | reward_model dict | metadata dict |
|---|---|---|---|---|---|
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
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"category": null,
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"layout_id": 5,
"noise_objects": [
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],
"objects": [
"banana_0",
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"cooling_fan_noise0",
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],
"ori... |
[
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many instances of wooden_cutting_board are in the area?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wooden located at [193, 112, 215, 128]\\n\\nNow examining the auxiliar... | {
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"image_name": null,
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"layout_id": 9,
"noise_objects": [
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"wine_noise1",
"cooling_fan_noise2"
],
"objects": [
"wooden_cutting_board_0",
"pear_noise0",
"wine_noise1",... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many wooden_cutting_board are available for use?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wooden located at [52, 14, 55, 15]\\n\\nNow examining the auxiliary perspecti... | {
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"dataset_name": "ObjectCount_1",
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"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [
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"fork_noise1",
"bowl_noise2"
],
"objects": [
"wooden_cutting_board_0",
"peach_noise0",
"fork_noise1",
... |
[
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Could you tell me how many cup exist?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n- I can see a cup located at [39, 20, 43, 23]\\n\\... | {
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"layout_id": 4,
"noise_objects": [
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"banana_noise1",
"pear_noise2"
],
"objects": [
"cup_0",
"spoon_noise0",
"banana_noise1",
"pear_noise2"... |
[
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Could you tell me how many scissors and pear exist?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first scissors at [56, 15, 58, 16]\\n- I also see a second scissors at [30, ... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [],
"objects": [
"scissors_0",
"scissors_1",
"pear_0",
"pear_1"
],
"original_answer": null,
"original_question": null,
"questi... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you calculate how many meat are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a meat located at [174, 57, 185, 64]\\n\\nNow examining the auxiliary perspective (Imag... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [],
"objects": [
"meat_0",
"meat_1",
"meat_2",
"meat_3"
],
"original_answer": null,
"original_question": null,
"question_id": ... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you figure out how many banana and green_peas are here?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first banana at [123, 138, 134, 158]\\n- I also see a second banana ... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [],
"objects": [
"banana_0",
"banana_1",
"banana_2",
"green_peas_0",
"green_peas_1"
],
"original_answer": null,
"original_qu... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many pumpkin and bowl can be seen in this task?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first pumpkin at [31, 18, 36, 22]\\n- I also see a second pumpkin at [33, 0,... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [],
"objects": [
"pumpkin_0",
"pumpkin_1",
"pumpkin_2",
"bowl_0",
"bowl_1",
"bowl_2"
],
"original_answer": null,
"origin... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many kettle are within your reach?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n\\nAnalyzing spatial correspondence between the t... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"banana_noise0",
"pumpkin_noise1",
"wine_noise2"
],
"objects": [
"banana_noise0",
"pumpkin_noise1",
"wine_noise2"
],
"... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many scissors should be considered for the next task?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first scissors at [316, 107, 335, 121]\\n- I also see a second scissor... | {
"category": null,
"dataset_name": "ObjectCount_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [
"tomato_noise0",
"hammer_noise1"
],
"objects": [
"scissors_0",
"scissors_1",
"scissors_2",
"tomato_noise0",
"hammer_no... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many fork and pot are there in this space?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a fork located at [331, 121, 383, 139]\\n\\nNow examining the auxiliary perspective (... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [
"cooling_fan_noise0",
"cardboardbox_noise1"
],
"objects": [
"fork_0",
"pot_0",
"cooling_fan_noise0",
"cardboardbox_noise1"... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many instances of wine are in the area?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wine located at [212, 0, 220, 18]\\n\\nNow examining the auxiliary perspective (Image ... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
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"tomato_noise1"
],
"objects": [
"wine_0",
"wine_1",
"wine_2",
"green_peas_noise0",
"tomato_noise1... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many pumpkin and pear are there?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first pumpkin at [313, 116, 351, 139]\\n- I also see a second pumpkin at [126, 111, 152, 13... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [],
"objects": [
"pumpkin_0",
"pumpkin_1",
"pumpkin_2",
"pear_0",
"pear_1",
"pear_2"
],
"original_answer": null,
"origin... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many wooden_cutting_board do you observe?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wooden located at [222, 131, 263, 164]\\n\\nNow examining the auxiliary perspective ... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [
"kettle_noise0",
"rock_noise1"
],
"objects": [
"wooden_cutting_board_0",
"wooden_cutting_board_1",
"kettle_noise0",
"rock_... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many tomato do you observe?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a tomato located at [207, 77, 215, 85]\\n\\nNow examining the auxiliary perspective (Image B):\\n- I... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [
"knife_noise0",
"knife_noise1"
],
"objects": [
"tomato_0",
"tomato_1",
"knife_noise0",
"knife_noise1"
],
"original_ans... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you determine the number of banana and clothes_iron?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n- I can see a banana located at... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [
"peach_noise0",
"pizza_noise1",
"clothes_iron_noise2"
],
"objects": [
"banana_0",
"peach_noise0",
"pizza_noise1",
"clo... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you figure out how many meat and bowl are here?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a meat located at [348, 122, 354, 125]\\n- There's a bowl positioned at coordina... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [
"banana_noise0",
"clothes_iron_noise1"
],
"objects": [
"meat_0",
"bowl_0",
"banana_noise0",
"clothes_iron_noise1"
],
"... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many wooden_cutting_board and hammer are needed for this operation?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first wooden at [298, 102, 324, 113]\\n- I also see a se... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 2,
"noise_objects": [],
"objects": [
"wooden_cutting_board_0",
"wooden_cutting_board_1",
"hammer_0",
"hammer_1"
],
"original_answer": null,
"origina... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Could you specify how many banana and bowl there are?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a banana located at [44, 16, 46, 17]\\n- There's a bowl positioned at coordina... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [],
"objects": [
"banana_0",
"banana_1",
"bowl_0",
"bowl_1"
],
"original_answer": null,
"original_question": null,
"question_i... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you list how many meat and kettle are available?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first meat at [64, 17, 66, 18]\\n- I also see a second meat at [28, 17, 29,... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [],
"objects": [
"meat_0",
"meat_1",
"kettle_0",
"kettle_1"
],
"original_answer": null,
"original_question": null,
"question_i... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many pumpkin and peach are available for use?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a pumpkin located at [327, 122, 370, 147]\\n- There's a peach positioned at coordi... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [
"rock_noise0",
"bowl_noise1"
],
"objects": [
"pumpkin_0",
"peach_0",
"rock_noise0",
"bowl_noise1"
],
"original_answer"... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABHEAACAQIDBAYIAwYFAwIH... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many instances of cup are in the area?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a cup located at [0, 136, 19, 153]\\n\\nNow examining the auxiliary perspective (Image B)... | {
"category": null,
"dataset_name": "ObjectCount_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"wine_noise0",
"pumpkin_noise1",
"pot_noise2"
],
"objects": [
"cup_0",
"wine_noise0",
"pumpkin_noise1",
"pot_noise2"
... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAECAwQFBgcI/8QARhAAAQMCBAIHBAYGCgMA... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'What is the quantity of cup in this area?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first cup at [289, 96, 303, 104]\\n- I also see a second cup at [233, 93, 245, 101]\\n... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 2,
"noise_objects": [
"rock_noise0",
"pumpkin_noise1"
],
"objects": [
"cup_0",
"cup_1",
"rock_noise0",
"pumpkin_noise1"
],
"original_answer"... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGgAAAgMBAQAAAAAAAAAAAAAAAAECAwQFBv/EAEEQAAEDAgQDBQYEBAQFBQAA... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'What is the exact number of pizza and bread?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a pizza located at [212, 96, 233, 106]\\n- There's a bread positioned at coordinates [1... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [],
"objects": [
"pizza_0",
"pizza_1",
"bread_0",
"bread_1"
],
"original_answer": null,
"original_question": null,
"question_i... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAQIAAwQGBQf/xABAEAABAwMCAwYDBgQEBgMB... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Please estimate the total number of peach.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a peach located at [45, 18, 47, 20]\\n\\nNow examining the auxiliary perspective (Image B... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [
"cooling_fan_noise0",
"scissors_noise1"
],
"objects": [
"peach_0",
"peach_1",
"cooling_fan_noise0",
"scissors_noise1"
],... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAQACAwQFBgcI/8QARRAAAQMCBAIHBgMFBwME... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you figure out how many pumpkin are here?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n\\nAnalyzing spatial correspondence betwee... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [
"scissors_noise0",
"kettle_noise1",
"pumpkin_noise2"
],
"objects": [
"scissors_noise0",
"kettle_noise1",
"pumpkin_noise2"
... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwABAAIDAQEAAAAAAAAAAAAAAAECAwUGBAf/xABDEAABAwIEAgcFBQYEBwEB... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many instances of tomato are in the area?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first tomato at [50, 17, 51, 19]\\n- I also see a second tomato at [55, 8, 57, 9]\... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [
"bread_noise0",
"wine_noise1"
],
"objects": [
"tomato_0",
"tomato_1",
"tomato_2",
"bread_noise0",
"wine_noise1"
],
... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAECAwQFBgcI/8QASRAAAQMCBAMFBQUECQEH... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many tomato are visible in this location?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a tomato located at [281, 85, 293, 93]\\n\\nNow examining the auxiliary perspective (I... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [
"hammer_noise0",
"banana_noise1",
"pot_noise2"
],
"objects": [
"tomato_0",
"hammer_noise0",
"banana_noise1",
"pot_nois... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABOEAACAAQEAgYFCQMICQQD... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'What is the total number of shoe?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a shoe located at [23, 27, 28, 33]\\n\\nNow examining the auxiliary perspective (Image B):\\n- I c... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"green_peas_noise0",
"peach_noise1"
],
"objects": [
"shoe_0",
"shoe_1",
"green_peas_noise0",
"peach_noise1"
],
"origin... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAIBAwQFBgf/xABEEAACAQIEAwUECAQEBQQD... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many meat and apple do you need to move?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n- I can see a meat located at [64, 27, 69, ... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [
"wooden_cutting_board_noise0",
"peach_noise1"
],
"objects": [
"meat_0",
"apple_0",
"wooden_cutting_board_noise0",
"peach_n... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAQACAwQFBgcI/8QARRAAAQMCBAIHBgMFBwME... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you list how many fork and peach are available?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first fork at [209, 87, 222, 99]\\n- I also see a second fork at [18, 123, 5... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [
"meat_noise0",
"banana_noise1"
],
"objects": [
"fork_0",
"fork_1",
"peach_0",
"meat_noise0",
"banana_noise1"
],
"o... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many scissors are available for use?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a scissors located at [64, 22, 68, 26]\\n\\nNow examining the auxiliary perspective (Image ... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [
"cooling_fan_noise0",
"hammer_noise1",
"pear_noise2"
],
"objects": [
"scissors_0",
"cooling_fan_noise0",
"hammer_noise1",
... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you assess how many peach are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a peach located at [42, 13, 44, 15]\\n\\nNow examining the auxiliary perspective (Image B... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"clothes_iron_noise0",
"kettle_noise1"
],
"objects": [
"peach_0",
"peach_1",
"clothes_iron_noise0",
"kettle_noise1"
],
... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'What is the number of pear to be counted?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first pear at [189, 59, 196, 72]\\n- I also see a second pear at [311, 0, 368, 57]\\n\... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [
"bread_noise0",
"plate_noise1"
],
"objects": [
"pear_0",
"pear_1",
"pear_2",
"bread_noise0",
"plate_noise1"
],
"or... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you list how many cup are available?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a cup located at [23, 10, 26, 14]\\n\\nNow examining the auxiliary perspective (Image B):\\... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [
"pizza_noise0",
"plate_noise1"
],
"objects": [
"cup_0",
"cup_1",
"pizza_noise0",
"plate_noise1"
],
"original_answer": ... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'What is the total number of scissors and apple?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first scissors at [64, 22, 69, 26]\\n- I also see a second scissors at [34, 19, ... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [],
"objects": [
"scissors_0",
"scissors_1",
"scissors_2",
"apple_0",
"apple_1",
"apple_2"
],
"original_answer": null,
"... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAQACAwQFBgf/xABFEAABAwIEAwUFBgQFAwIH... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many pizza and plate should be considered for the next task?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first pizza at [187, 71, 201, 78]\\n- I also see a second pizza... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [],
"objects": [
"pizza_0",
"pizza_1",
"pizza_2",
"plate_0",
"plate_1",
"plate_2"
],
"original_answer": null,
"original_... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAwADAQEAAAAAAAAAAAAAAAECAwQFBgf/xABFEAABAwIDBAYHBgQEBQUA... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many pumpkin and peach can be seen in this task?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n- I can see a pumpkin located at [1... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"cup_noise0",
"bread_noise1"
],
"objects": [
"pumpkin_0",
"peach_0",
"cup_noise0",
"bread_noise1"
],
"original_answer"... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAwABAgQFBgf/xABGEAACAQMCAwYDBQYEBAMJ... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you calculate how many banana and bread are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first banana at [2, 92, 11, 101]\\n- I also see a second banana at [102... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [],
"objects": [
"banana_0",
"banana_1",
"bread_0",
"bread_1"
],
"original_answer": null,
"original_question": null,
"question... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGgAAAwEBAQEAAAAAAAAAAAAAAQIDAAQFBv/EAD8QAAIBAwMCBAQDBgQFBAMA... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many clothes_iron can be seen in this task?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a clothes located at [165, 89, 180, 131]\\n\\nNow examining the auxiliary perspectiv... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [
"fork_noise0",
"rock_noise1"
],
"objects": [
"clothes_iron_0",
"clothes_iron_1",
"fork_noise0",
"rock_noise1"
],
"orig... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAwADAQEAAAAAAAAAAAAAAAECAwQFBgf/xABEEAABAwIDBQUFBQUHBAMB... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you calculate how many shoe are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a shoe located at [198, 106, 208, 120]\\n\\nNow examining the auxiliary perspective (Im... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [
"fork_noise0",
"hammer_noise1"
],
"objects": [
"shoe_0",
"shoe_1",
"fork_noise0",
"hammer_noise1"
],
"original_answer"... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABLEAABAwIDBQQHBAkABwgD... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many wooden_cutting_board and pot are needed for this operation?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n\\nAnalyzing spatia... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [
"peach_noise0",
"pumpkin_noise1",
"pizza_noise2"
],
"objects": [
"peach_noise0",
"pumpkin_noise1",
"pizza_noise2"
],
"... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABHEAACAQIDBAUJBgQEBgEF... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you count the scissors?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first scissors at [126, 127, 143, 144]\\n- I also see a second scissors at [140, 95, 157, 103]\\n\\n... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"knife_noise0",
"hammer_noise1"
],
"objects": [
"scissors_0",
"scissors_1",
"scissors_2",
"knife_noise0",
"hammer_nois... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABDEAABAwIEAgcGBAUDAwMF... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many wooden_cutting_board can be seen in this task?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first wooden at [66, 22, 73, 27]\\n- I also see a second wooden at [26, ... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [
"hammer_noise0",
"bowl_noise1"
],
"objects": [
"wooden_cutting_board_0",
"wooden_cutting_board_1",
"hammer_noise0",
"bowl_... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAAcBAQAAAAAAAAAAAAAAAAECAwQFBgcI/8QAShAAAQMCBAQDBAgCBwYE... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Please identify the number of cup and hammer.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a cup located at [165, 73, 175, 81]\\n- There's a hammer positioned at coordinates [16... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"apple_noise0",
"scissors_noise1"
],
"objects": [
"cup_0",
"cup_1",
"hammer_0",
"apple_noise0",
"scissors_noise1"
],... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many banana and tomato are needed for this operation?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n- I can see a banana located a... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [
"cup_noise0",
"fork_noise1"
],
"objects": [
"banana_0",
"tomato_0",
"cup_noise0",
"fork_noise1"
],
"original_answer": ... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many apple are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a apple located at [311, 101, 325, 110]\\n\\nNow examining the auxiliary perspective (Image B):\\n- I ca... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 2,
"noise_objects": [
"cup_noise0",
"tomato_noise1",
"clothes_iron_noise2"
],
"objects": [
"apple_0",
"cup_noise0",
"tomato_noise1",
"clothe... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'What is the exact number of cup?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first cup at [2, 131, 29, 147]\\n- I also see a second cup at [133, 144, 151, 163]\\n\\nNow exa... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"hammer_noise0",
"kettle_noise1"
],
"objects": [
"cup_0",
"cup_1",
"hammer_noise0",
"kettle_noise1"
],
"original_answe... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many wooden_cutting_board are located here?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wooden located at [131, 140, 163, 161]\\n\\nNow examining the auxiliary perspectiv... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"fork_noise0",
"green_peas_noise1"
],
"objects": [
"wooden_cutting_board_0",
"wooden_cutting_board_1",
"fork_noise0",
"gre... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many pumpkin and hammer are visible in this location?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n- I can see a pumpkin located ... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [
"wooden_cutting_board_noise0",
"clothes_iron_noise1",
"spoon_noise2"
],
"objects": [
"pumpkin_0",
"wooden_cutting_board_noise0... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABJEAACAQIDBAYIAwYFAgMJ... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many scissors and pear are available for use?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a pear located at [0, 26, 4, 29]\\n\\nNow examining the auxiliary perspective (Ima... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"hammer_noise0",
"cardboardbox_noise1"
],
"objects": [
"scissors_0",
"pear_0",
"hammer_noise0",
"cardboardbox_noise1"
],... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAQIAAwQFBgf/xABBEAACAQIEAwYDBgQEBQUB... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Please identify the number of bread.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first bread at [48, 19, 52, 21]\\n- I also see a second bread at [47, 9, 52, 11]\\n\\nNow e... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [
"rock_noise0",
"pear_noise1"
],
"objects": [
"bread_0",
"bread_1",
"bread_2",
"rock_noise0",
"pear_noise1"
],
"ori... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAQACAwQFBgf/xABIEAABAwIEAwUFBQYEBAQH... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Please estimate the total number of cup.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a cup located at [37, 14, 39, 15]\\n\\nNow examining the auxiliary perspective (Image B):\\... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"wine_noise0",
"bowl_noise1",
"hammer_noise2"
],
"objects": [
"cup_0",
"wine_noise0",
"bowl_noise1",
"hammer_noise2"
... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgIDAQAAAAAAAAAAAAAAAAECBgQFBwP/xABIEAABAwIEAgcGAwYDBgUF... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you determine the number of scissors and pear?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a scissors located at [260, 58, 276, 88]\\n- There's a pear positioned at coordin... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [],
"objects": [
"scissors_0",
"scissors_1",
"scissors_2",
"pear_0",
"pear_1",
"pear_2"
],
"original_answer": null,
"ori... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABIEAACAQIEAwUEBwYFAgMJ... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many clothes_iron should be considered for the next task?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first clothes at [148, 71, 157, 92]\\n- I also see a second clothe... | {
"category": null,
"dataset_name": "ObjectCount_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"pear_noise0",
"apple_noise1"
],
"objects": [
"clothes_iron_0",
"clothes_iron_1",
"clothes_iron_2",
"pear_noise0",
"ap... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAgMBAQEBAAAAAAAAAAAAAQIAAwQFBgcI/8QAQxAAAgECBAMGAwYEBAQG... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Please identify the number of tomato.'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n\\nAnalyzing spatial correspondence between the tw... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [
"cup_noise0",
"bowl_noise1",
"wooden_cutting_board_noise2"
],
"objects": [
"cup_noise0",
"bowl_noise1",
"wooden_cutting_bo... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABCEAABAwIEAwUGBAUEAQIH... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you figure out how many bread are here?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first bread at [178, 88, 188, 95]\\n- I also see a second bread at [168, 34, 183, 39... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [
"cardboardbox_noise0",
"green_peas_noise1"
],
"objects": [
"bread_0",
"bread_1",
"bread_2",
"cardboardbox_noise0",
"gr... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABEEAABAwIEAwUFBgQEBQQD... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you determine the number of cup and hammer?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a cup located at [338, 115, 364, 132]\\n\\nNow examining the auxiliary perspective (... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [
"knife_noise0",
"tomato_noise1",
"rock_noise2"
],
"objects": [
"cup_0",
"knife_noise0",
"tomato_noise1",
"rock_noise2"... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABEEAABAwIEAgcFBgQEBQUB... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'What is the exact number of pear?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a pear located at [47, 20, 50, 24]\\n\\nNow examining the auxiliary perspective (Image B):\\n- I c... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [
"cooling_fan_noise0",
"green_peas_noise1"
],
"objects": [
"pear_0",
"pear_1",
"cooling_fan_noise0",
"green_peas_noise1"
... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAECBAUDBgf/xABDEAABAwIFAQYCBwcBBgcA... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many pizza are there?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a pizza located at [146, 106, 174, 116]\\n\\nNow examining the auxiliary perspective (Image B):\\n- I can ... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [
"shoe_noise0",
"hammer_noise1"
],
"objects": [
"pizza_0",
"pizza_1",
"shoe_noise0",
"hammer_noise1"
],
"original_answe... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABBEAACAQMCBAMGBAMGBQQD... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Please identify the number of clothes_iron.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a clothes located at [225, 94, 253, 116]\\n\\nNow examining the auxiliary perspective (I... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 2,
"noise_objects": [
"rock_noise0",
"meat_noise1"
],
"objects": [
"clothes_iron_0",
"clothes_iron_1",
"clothes_iron_2",
"rock_noise0",
"mea... |
[
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many clothes_iron do you observe?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a clothes located at [48, 18, 54, 22]\\n\\nNow examining the auxiliary perspective (Image B):\... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 2,
"noise_objects": [
"cup_noise0",
"kettle_noise1"
],
"objects": [
"clothes_iron_0",
"clothes_iron_1",
"clothes_iron_2",
"cup_noise0",
"ket... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many bread are located here?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n\\nAnalyzing spatial correspondence between the two per... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [
"cup_noise0",
"scissors_noise1",
"meat_noise2"
],
"objects": [
"cup_noise0",
"scissors_noise1",
"meat_noise2"
],
"orig... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you list how many pumpkin and green_peas are available?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a pumpkin located at [22, 10, 27, 15]\\n- There's a green positioned at ... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [],
"objects": [
"pumpkin_0",
"pumpkin_1",
"pumpkin_2",
"green_peas_0",
"green_peas_1",
"green_peas_2"
],
"original_answer... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you list how many hammer are available?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a hammer located at [198, 87, 210, 98]\\n\\nNow examining the auxiliary perspective (Ima... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [
"banana_noise0",
"fork_noise1"
],
"objects": [
"hammer_0",
"hammer_1",
"banana_noise0",
"fork_noise1"
],
"original_ans... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you determine the number of bowl?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n\\nAnalyzing spatial correspondence between the tw... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [
"cup_noise0",
"pear_noise1",
"pear_noise2"
],
"objects": [
"cup_noise0",
"pear_noise1",
"pear_noise2"
],
"original_ans... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'What is the count of cup and hammer in the scene?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a cup located at [149, 77, 159, 86]\\n- There's a hammer positioned at coordinates... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"wooden_cutting_board_noise0",
"apple_noise1"
],
"objects": [
"cup_0",
"cup_1",
"hammer_0",
"wooden_cutting_board_noise0",... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'What is the total number of wine and hammer?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wine located at [94, 56, 113, 83]\\n- There's a hammer positioned at coordinates [49,... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"banana_noise0",
"tomato_noise1"
],
"objects": [
"wine_0",
"wine_1",
"hammer_0",
"banana_noise0",
"tomato_noise1"
],... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAECAwQFBgf/xABCEAABAwIEAwUGBAUCAwkA... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many meat and pear are visible in this location?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a meat located at [50, 18, 51, 19]\\n- There's a pear positioned at coordinates... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [
"spoon_noise0",
"kettle_noise1"
],
"objects": [
"meat_0",
"meat_1",
"pear_0",
"spoon_noise0",
"kettle_noise1"
],
"... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'What is the count of pumpkin in the scene?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a pumpkin located at [177, 71, 193, 83]\\n\\nNow examining the auxiliary perspective (Ima... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"cup_noise0",
"plate_noise1",
"knife_noise2"
],
"objects": [
"pumpkin_0",
"cup_noise0",
"plate_noise1",
"knife_noise2"... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAAcBAQAAAAAAAAAAAAAAAAECAwQFBgcI/8QAShAAAQMCBAQDBAgDBAcH... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Could you specify how many peach there are?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first peach at [203, 66, 210, 74]\\n- I also see a second peach at [0, 198, 41, 215]... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [],
"objects": [
"peach_0",
"peach_1",
"peach_2",
"peach_3"
],
"original_answer": null,
"original_question": null,
"question_i... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAgABAwQFBgf/xABFEAACAQMCBAIHBwIEBAQH... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many fork are within your reach?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first fork at [333, 122, 383, 141]\\n- I also see a second fork at [199, 85, 217, 93]\\n- T... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [
"pizza_noise0",
"wooden_cutting_board_noise1"
],
"objects": [
"fork_0",
"fork_1",
"fork_2",
"pizza_noise0",
"wooden_cu... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAwEBAQEBAAAAAAAAAAAAAQIDAAQFBgf/xAA/EAACAQMDAgQEAwcCBAYD... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many bowl can be seen in this task?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a bowl located at [202, 100, 217, 114]\\n\\nNow examining the auxiliary perspective (Image B... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [
"rock_noise0",
"shoe_noise1"
],
"objects": [
"bowl_0",
"bowl_1",
"rock_noise0",
"shoe_noise1"
],
"original_answer": nu... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECBAUGAwf/xABMEAABAwIEAgYIAwQGCAUF... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many wine do you need to move?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wine located at [214, 63, 221, 89]\\n\\nNow examining the auxiliary perspective (Image B):\\n- ... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [
"cup_noise0",
"hammer_noise1"
],
"objects": [
"wine_0",
"wine_1",
"wine_2",
"cup_noise0",
"hammer_noise1"
],
"orig... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAIBAwQFBgf/xABHEAACAQIDBQQGCAMHAgYD... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'What is the count of kettle in the scene?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first kettle at [2, 121, 35, 146]\\n- I also see a second kettle at [137, 120, 157, 14... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"cardboardbox_noise0",
"cup_noise1"
],
"objects": [
"kettle_0",
"kettle_1",
"cardboardbox_noise0",
"cup_noise1"
],
"or... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAIBAwQFBgf/xAA8EAACAQIEAgcFBwMEAwEA... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'What is the quantity of banana and apple in this area?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a banana located at [344, 115, 383, 123]\\n- There's a apple positioned at co... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 2,
"noise_objects": [
"knife_noise0",
"rock_noise1"
],
"objects": [
"banana_0",
"apple_0",
"knife_noise0",
"rock_noise1"
],
"original_answer... |
[
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many banana are there in this space?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n- I can see a banana located at [152, 127, 156,... | {
"category": null,
"dataset_name": "ObjectCount_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
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"clothes_iron_noise1",
"wooden_cutting_board_noise2"
],
"objects": [
"banana_0",
"pear_noise0",
"clothes_ir... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Could you specify how many meat there are?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first meat at [288, 99, 294, 102]\\n- I also see a second meat at [240, 98, 246, 102]... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 2,
"noise_objects": [
"knife_noise0",
"cardboardbox_noise1"
],
"objects": [
"meat_0",
"meat_1",
"knife_noise0",
"cardboardbox_noise1"
],
"or... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many scissors and kettle should be considered for the next task?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n- I can see a sciss... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [
"green_peas_noise0",
"hammer_noise1"
],
"objects": [
"scissors_0",
"kettle_0",
"green_peas_noise0",
"hammer_noise1"
],
... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Please estimate the total number of banana.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first banana at [328, 87, 336, 91]\\n- I also see a second banana at [146, 110, 166,... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [
"rock_noise0",
"bowl_noise1"
],
"objects": [
"banana_0",
"banana_1",
"banana_2",
"rock_noise0",
"bowl_noise1"
],
"... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many meat and apple can be seen in this task?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a meat located at [24, 24, 28, 26]\\n- There's a apple positioned at coordinates [... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [],
"objects": [
"meat_0",
"meat_1",
"apple_0",
"apple_1"
],
"original_answer": null,
"original_question": null,
"question_id"... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Please identify the number of tomato.'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n- I can see a tomato located at [300, 122, 334, 14... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [
"cooling_fan_noise0",
"peach_noise1",
"green_peas_noise2"
],
"objects": [
"tomato_0",
"cooling_fan_noise0",
"peach_noise1"... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAECAwQFBgf/xABEEAABAwIEAwUFBgQEAwkA... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many meat and kettle do you need to move?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first meat at [325, 111, 333, 116]\\n- I also see a second meat at [176, 96, 184, ... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [],
"objects": [
"meat_0",
"meat_1",
"kettle_0",
"kettle_1"
],
"original_answer": null,
"original_question": null,
"question_i... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAwABAgQFBgf/xABCEAACAQMCBAMFBQYFAwMF... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Please identify the number of wooden_cutting_board.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first wooden at [32, 14, 35, 16]\\n- I also see a second wooden at [37, 4, 4... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"rock_noise0",
"banana_noise1"
],
"objects": [
"wooden_cutting_board_0",
"wooden_cutting_board_1",
"wooden_cutting_board_2",
... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABJEAACAQIEAwUEBwcCBAIL... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you identify all the cup?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first cup at [45, 13, 47, 15]\\n- I also see a second cup at [40, 3, 42, 4]\\n\\nNow examining the... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [],
"objects": [
"cup_0",
"cup_1",
"cup_2",
"cup_3"
],
"original_answer": null,
"original_question": null,
"question_id": null... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAgABAwQFBgf/xABHEAABAwMCBAMFBQQHBQkB... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you calculate how many shoe are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a shoe located at [45, 16, 46, 18]\\n\\nNow examining the auxiliary perspective (Image ... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [
"fork_noise0",
"bowl_noise1"
],
"objects": [
"shoe_0",
"shoe_1",
"shoe_2",
"fork_noise0",
"bowl_noise1"
],
"origin... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABEEAABAwIEAwUGBAQFAwIH... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many instances of fork and apple are in the area?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a fork located at [0, 19, 5, 20]\\n- There's a apple positioned at coordinates... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"pot_noise0",
"bread_noise1"
],
"objects": [
"fork_0",
"fork_1",
"apple_0",
"pot_noise0",
"bread_noise1"
],
"origi... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAMBAgQFBgf/xABGEAACAQIEAwQIAwYGAAMJ... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'What is the exact number of banana and peach?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first banana at [329, 109, 344, 122]\\n- I also see a second banana at [164, 110, ... | {
"category": null,
"dataset_name": "ObjectCount_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [
"scissors_noise0",
"cup_noise1"
],
"objects": [
"banana_0",
"banana_1",
"peach_0",
"scissors_noise0",
"cup_noise1"
]... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAgABAwQFBgf/xABKEAABBAAEAwYDBgMDCAkF... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you determine the number of scissors?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a scissors located at [182, 86, 191, 88]\\n\\nNow examining the auxiliary perspective (Ima... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [
"hammer_noise0",
"pumpkin_noise1"
],
"objects": [
"scissors_0",
"scissors_1",
"scissors_2",
"hammer_noise0",
"pumpkin_... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAgABAwQFBgf/xABDEAACAQIEBAMFBwQBAQUJ... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you assess how many pumpkin and clothes_iron are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a pumpkin located at [89, 129, 150, 175]\\n- There's a clothes positio... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [],
"objects": [
"pumpkin_0",
"pumpkin_1",
"clothes_iron_0",
"clothes_iron_1"
],
"original_answer": null,
"original_question": n... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAQIAAwQFBgf/xABAEAABAwMCAwYDBgQFBAID... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you determine the number of scissors?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first scissors at [45, 18, 48, 20]\\n- I also see a second scissors at [54, 9, 57, 10]... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [
"meat_noise0",
"cup_noise1"
],
"objects": [
"scissors_0",
"scissors_1",
"scissors_2",
"meat_noise0",
"cup_noise1"
],... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABHEAABAwIEBAMFBgQEBAMJ... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you count the hammer?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first hammer at [316, 111, 343, 126]\\n- I also see a second hammer at [162, 111, 167, 127]\\n- There'... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [
"pizza_noise0",
"bread_noise1"
],
"objects": [
"hammer_0",
"hammer_1",
"hammer_2",
"pizza_noise0",
"bread_noise1"
],... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABMEAABAwIEAgcGAwUDCwEJ... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many wooden_cutting_board and apple are located here?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wooden located at [207, 89, 224, 96]\\n\\nNow examining the auxiliary pe... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [
"shoe_noise0",
"peach_noise1",
"clothes_iron_noise2"
],
"objects": [
"wooden_cutting_board_0",
"shoe_noise0",
"peach_noise... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABGEAACAQIDBAYIBAUCBQMF... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many pear are visible in this location?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n\\nAnalyzing spatial correspondence between ... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"clothes_iron_noise0",
"knife_noise1",
"bowl_noise2"
],
"objects": [
"clothes_iron_noise0",
"knife_noise1",
"bowl_noise2"
... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABOEAACAAQEAgYFCQMICQQD... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many bread are available for use?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first bread at [95, 146, 136, 167]\\n- I also see a second bread at [114, 93, 145, 108]\\n... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"pizza_noise0",
"pot_noise1"
],
"objects": [
"bread_0",
"bread_1",
"bread_2",
"pizza_noise0",
"pot_noise1"
],
"ori... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAECAwQFBgcI/8QARRAAAgEDAgMGAwUGAwYF... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many scissors and kettle are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a scissors located at [118, 75, 130, 86]\\n\\nNow examining the auxiliary perspective (Ima... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"pear_noise0",
"wooden_cutting_board_noise1",
"clothes_iron_noise2"
],
"objects": [
"scissors_0",
"pear_noise0",
"wooden_c... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABEEAABAwIEAgcFBgUCBQQD... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you list how many wooden_cutting_board and tomato are available?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first wooden at [45, 21, 51, 25]\\n- I also see a second wo... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [],
"objects": [
"wooden_cutting_board_0",
"wooden_cutting_board_1",
"wooden_cutting_board_2",
"tomato_0",
"tomato_1"
],
"orig... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAEDBAUGAgcI/8QASBAAAQMDAwIEAwQHBgQF... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Could you specify how many wooden_cutting_board there are?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n\\nAnalyzing spatial correspo... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [
"shoe_noise0",
"fork_noise1",
"plate_noise2"
],
"objects": [
"shoe_noise0",
"fork_noise1",
"plate_noise2"
],
"original... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAwEBAQEBAAAAAAAAAAAAAAECAwUEBgf/xABBEAABAwMDAgMFBQQJBAMB... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many instances of meat are in the area?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n- I can see a meat located at [121, 130, 132... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [
"cooling_fan_noise0",
"pizza_noise1",
"bowl_noise2"
],
"objects": [
"meat_0",
"cooling_fan_noise0",
"pizza_noise1",
"b... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAgMAAQQFBgf/xAA+EAACAQIEAwUEBwcFAQEB... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you determine the number of pizza and hammer?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n- I can see a pizza located at [22, 25... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [
"bread_noise0",
"peach_noise1"
],
"objects": [
"pizza_0",
"hammer_0",
"bread_noise0",
"peach_noise1"
],
"original_answ... |
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