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 | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many fork and bread can you find?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first fork at [338, 124, 358, 131]\\n- I also see a second fork at [174, 109, 176, 111]\\n... | {
"category": null,
"dataset_name": "ObjectCount_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [],
"objects": [
"fork_0",
"fork_1",
"bread_0",
"bread_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 'How many wooden_cutting_board do you need to move?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wooden located at [143, 117, 164, 135]\\n\\nNow examining the auxiliary perspec... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [
"tomato_noise0",
"green_peas_noise1"
],
"objects": [
"wooden_cutting_board_0",
"wooden_cutting_board_1",
"tomato_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 count of fork and bread in the scene?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a fork located at [233, 88, 254, 90]\\n\\nNow examining the auxiliary perspective ... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [
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"peach_noise1",
"wooden_cutting_board_noise2"
],
"objects": [
"fork_0",
"spoon_noise0",
"peach_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 total number of tomato?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first tomato at [196, 67, 203, 73]\\n- I also see a second tomato at [0, 129, 25, 144]\\n\\n... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [
"cooling_fan_noise0",
"scissors_noise1"
],
"objects": [
"tomato_0",
"tomato_1",
"cooling_fan_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 'Could you specify how many meat there are?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a meat located at [27, 24, 29, 25]\\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": 9,
"noise_objects": [
"pumpkin_noise0",
"tomato_noise1"
],
"objects": [
"meat_0",
"meat_1",
"pumpkin_noise0",
"tomato_noise1"
],
"original_a... |
[
{
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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 cup and tomato should be considered for the next task?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a cup located at [330, 117, 355, 134]\\n- There's a tomato positione... | {
"category": null,
"dataset_name": "ObjectCount_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [
"cooling_fan_noise0",
"kettle_noise1"
],
"objects": [
"cup_0",
"tomato_0",
"cooling_fan_noise0",
"kettle_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 'What is the exact number of meat and kettle?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first meat at [182, 92, 191, 96]\\n- I also see a second meat at [178, 22, 190, 28]... | {
"category": null,
"dataset_name": "ObjectCount_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [],
"objects": [
"meat_0",
"meat_1",
"meat_2",
"kettle_0",
"kettle_1"
],
"original_answer": null,
"original_question": null,... |
[
{
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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 pumpkin and peach.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a pumpkin located at [46, 16, 50, 19]\\n- There's a peach positioned at coordinates... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [
"spoon_noise0",
"plate_noise1"
],
"objects": [
"pumpkin_0",
"pumpkin_1",
"peach_0",
"spoon_noise0",
"plate_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 peach to be counted?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a peach located at [319, 82, 332, 90]\\n\\nNow examining the auxiliary perspective (Image... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [
"scissors_noise0",
"knife_noise1",
"banana_noise2"
],
"objects": [
"peach_0",
"scissors_noise0",
"knife_noise1",
"bana... |
[
{
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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 apple?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a apple located at [210, 82, 217, 90]\\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": [
"kettle_noise0",
"cup_noise1",
"pot_noise2"
],
"objects": [
"apple_0",
"kettle_noise0",
"cup_noise1",
"pot_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 'What is the quantity of banana and bowl in this area?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n\\nAnalyzing spatial correspondenc... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [
"meat_noise0",
"pear_noise1",
"peach_noise2"
],
"objects": [
"meat_noise0",
"pear_noise1",
"peach_noise2"
],
"original... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwABAAIDAQEAAAAAAAAAAAAAAAECAwQFBgf/xAA9EAABAwIEAgcGBAYCAwEB... | 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 pear.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first pear at [57, 18, 60, 21]\\n- I also see a second pear at [45, 17, 47, 20]\\n\\nNow exa... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 2,
"noise_objects": [
"fork_noise0",
"banana_noise1"
],
"objects": [
"pear_0",
"pear_1",
"pear_2",
"fork_noise0",
"banana_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 banana and green_peas are there?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first banana at [272, 74, 276, 77]\\n- I also see a second banana at [142, 81, 154, 86... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [],
"objects": [
"banana_0",
"banana_1",
"green_peas_0",
"green_peas_1"
],
"original_answer": null,
"original_question": null,
... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAQACAwQFBgcI/8QASBAAAQMCBAMFBQYDBgQE... | 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 scissors and hammer are available?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a scissors located at [9, 86, 28, 95]\\n\\nNow examining the auxiliary pers... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"knife_noise0",
"shoe_noise1",
"wine_noise2"
],
"objects": [
"scissors_0",
"knife_noise0",
"shoe_noise1",
"wine_noise2... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAIBAwQFBgf/xABIEAABAwICBgUJBgQEBAcA... | 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 banana and apple are there in this space?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a banana located at [5, 26, 8, 29]\\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": 0,
"noise_objects": [
"wine_noise0",
"pizza_noise1"
],
"objects": [
"banana_0",
"apple_0",
"wine_noise0",
"pizza_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 'Can you identify all the cup and tomato?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a cup located at [338, 106, 361, 117]\\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": 2,
"noise_objects": [
"wine_noise0",
"rock_noise1"
],
"objects": [
"cup_0",
"tomato_0",
"wine_noise0",
"rock_noise1"
],
"original_answer": n... |
[
{
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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 wine and clothes_iron are available for use?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wine located at [345, 104, 383, 131]\\n\\nNow examining the auxiliary perspe... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [
"shoe_noise0",
"scissors_noise1",
"pizza_noise2"
],
"objects": [
"wine_0",
"shoe_noise0",
"scissors_noise1",
"pizza_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 'Can you calculate how many meat and clothes_iron are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first meat at [283, 74, 289, 77]\\n- I also see a second meat at [... | {
"category": null,
"dataset_name": "ObjectCount_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [
"kettle_noise0",
"plate_noise1"
],
"objects": [
"meat_0",
"meat_1",
"clothes_iron_0",
"kettle_noise0",
"plate_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 pizza to be counted?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first pizza at [63, 22, 69, 25]\\n- I also see a second pizza at [34, 18, 38, 20]\\n\... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [
"cooling_fan_noise0",
"bowl_noise1"
],
"objects": [
"pizza_0",
"pizza_1",
"cooling_fan_noise0",
"bowl_noise1"
],
"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 'What is the exact number of pumpkin 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 pumpkin located at [64, 14... | {
"category": null,
"dataset_name": "ObjectCount_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [
"kettle_noise0",
"green_peas_noise1"
],
"objects": [
"pumpkin_0",
"hammer_0",
"kettle_noise0",
"green_peas_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 wine and peach are within your reach?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wine located at [214, 61, 224, 88]\\n- There's a peach positioned at coordinates [2... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [
"bread_noise0",
"pumpkin_noise1"
],
"objects": [
"wine_0",
"wine_1",
"peach_0",
"bread_noise0",
"pumpkin_noise1"
],
... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAIDBAUGAQcI/8QAShAAAQMCBAMFBAcFBQUI... | 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 banana and plate are available for use?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a banana located at [52, 17, 56, 18]\\n- There's a plate positioned at coordinates ... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [
"cooling_fan_noise0",
"bowl_noise1"
],
"objects": [
"banana_0",
"banana_1",
"plate_0",
"cooling_fan_noise0",
"bowl_noi... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAECAwQFBgf/xABBEAACAQMCAwYEBQIDBwQD... | 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 bowl are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n\\nAnalyzing spatial correspondence between th... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 2,
"noise_objects": [
"bread_noise0",
"hammer_noise1",
"scissors_noise2"
],
"objects": [
"bread_noise0",
"hammer_noise1",
"scissors_noise2"
],... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAEDBAUGAgf/xABFEAABAwIEAwUFBgQFAgUF... | 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 number of wooden_cutting_board and shoe to be counted?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wooden located at [136, 76, 152, 85]\\n\\nNow examining the aux... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"peach_noise0",
"banana_noise1",
"pumpkin_noise2"
],
"objects": [
"wooden_cutting_board_0",
"peach_noise0",
"banana_noise1... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAEDBAUGAgf/xABEEAABAwIEAwUFBQcDAwMF... | 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 meat and pot.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a meat located at [36, 14, 37, 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": [
"cooling_fan_noise0",
"bowl_noise1"
],
"objects": [
"meat_0",
"pot_0",
"cooling_fan_noise0",
"bowl_noise1"
],
"origina... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAABAABAgMFBgf/xABBEAACAQIEAwUECAUEAgEF... | 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 tell me how many plate exist?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a plate located at [194, 103, 222, 122]\\n\\nNow examining the auxiliary perspective (Image ... | {
"category": null,
"dataset_name": "ObjectCount_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [
"apple_noise0",
"wine_noise1"
],
"objects": [
"plate_0",
"plate_1",
"apple_noise0",
"wine_noise1"
],
"original_answer"... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAQIAAwQFBgf/xABEEAABAwIDBAYGCAUDBAMB... | 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 kettle are in the area?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a kettle located at [151, 122, 168, 146]\\n\\nNow examining the auxiliary perspective ... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"bread_noise0",
"bread_noise1"
],
"objects": [
"kettle_0",
"kettle_1",
"bread_noise0",
"bread_noise1"
],
"original_ans... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAECAwQFBgcI/8QARBAAAQMCBAMGAwYEAwcE... | 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 number of wine and pot to be counted?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wine located at [283, 62, 294, 77]\\n\\nNow examining the auxiliary perspective ... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [
"meat_noise0",
"bowl_noise1"
],
"objects": [
"wine_0",
"pot_0",
"meat_noise0",
"bowl_noise1"
],
"original_answer": nul... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgIDAQAAAAAAAAAAAAAAAQIAAwQFBgf/xABJEAACAQIEAwYCBwYEAwUJ... | 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 bowl in the scene?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first bowl at [143, 134, 156, 145]\\n- I also see a second bowl at [147, 93, 160, 101]\\... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"cooling_fan_noise0",
"cardboardbox_noise1"
],
"objects": [
"bowl_0",
"bowl_1",
"bowl_2",
"cooling_fan_noise0",
"cardb... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgIDAQAAAAAAAAAAAAAAAAECBgMEBwX/xABHEAABAwIEAwQHBQUGAwkA... | 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 hammer are here?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a hammer located at [24, 19, 27, 22]\\n\\nNow examining the auxiliary perspective (Imag... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [
"bread_noise0",
"spoon_noise1"
],
"objects": [
"hammer_0",
"hammer_1",
"bread_noise0",
"spoon_noise1"
],
"original_ans... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABDEAABAwIEAwUFBgMHBAID... | 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 are visible in this location?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first bowl at [61, 21, 64, 22]\\n- I also see a second bowl at [43, 19, 44, 20]\\n\\... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 2,
"noise_objects": [],
"objects": [
"bowl_0",
"bowl_1",
"bowl_2",
"bowl_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 'Please estimate the total number of pizza and peach.'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n\\nAnalyzing spatial correspondence... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [
"cardboardbox_noise0",
"shoe_noise1",
"cardboardbox_noise2"
],
"objects": [
"cardboardbox_noise0",
"shoe_noise1",
"cardboa... |
[
{
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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 peach are located here?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first banana at [65, 21, 69, 24]\\n- I also see a second banana at [30, 23, 32, 27]\... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [],
"objects": [
"banana_0",
"banana_1",
"banana_2",
"peach_0",
"peach_1",
"peach_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 fork and pear are needed for this operation?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a fork located at [191, 95, 225, 100]\\n- There's a pear positioned at coordin... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [],
"objects": [
"fork_0",
"fork_1",
"pear_0",
"pear_1"
],
"original_answer": null,
"original_question": null,
"question_id": ... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwABAAIDAQEAAAAAAAAAAAAAAAECAwQFBgf/xAA9EAABAwIEAgcGBAYCAwEB... | 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 tell me how many cup and pear exist?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a cup located at [295, 99, 311, 108]\\n\\nNow examining the auxiliary perspective (Im... | {
"category": null,
"dataset_name": "ObjectCount_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 2,
"noise_objects": [
"meat_noise0",
"meat_noise1",
"apple_noise2"
],
"objects": [
"cup_0",
"meat_noise0",
"meat_noise1",
"apple_noise2"
]... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgIDAQAAAAAAAAAAAAAAAAECAwQFBgf/xABHEAABAwIEAgcFBgUCBAQH... | 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 and green_peas?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a scissors located at [270, 74, 278, 77]\\n\\nNow examining the auxiliary perspective (Im... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [
"peach_noise0",
"bread_noise1",
"green_peas_noise2"
],
"objects": [
"scissors_0",
"peach_noise0",
"bread_noise1",
"gre... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAEDBAUGAgcI/8QARRAAAgEDAgQDBQUHAQcC... | 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 shoe.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first shoe at [11, 83, 40, 97]\\n- I also see a second shoe at [119, 181, 144, 215]\\n- Ther... | {
"category": null,
"dataset_name": "ObjectCount_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"cardboardbox_noise0",
"pot_noise1"
],
"objects": [
"shoe_0",
"shoe_1",
"shoe_2",
"cardboardbox_noise0",
"pot_noise1"
... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAECAwQFBgcI/8QARhAAAQMCBAIHBAYGCgID... | 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 needed for this operation?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a bread located at [206, 104, 232, 117]\\n\\nNow examining the auxiliary perspective (... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 2,
"noise_objects": [
"rock_noise0",
"green_peas_noise1"
],
"objects": [
"bread_0",
"bread_1",
"rock_noise0",
"green_peas_noise1"
],
"origin... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAEDBAUGAgf/xABGEAACAQMCAwUFBQYEBQEJ... | 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 peach are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first peach at [123, 76, 133, 85]\\n- I also see a second peach at [105, 205, 130, 21... | {
"category": null,
"dataset_name": "ObjectCount_2",
"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/8QAHAAAAgMBAQEBAAAAAAAAAAAAAQIAAwQFBgcI/8QAQhAAAgECBAMGAwYEBAUE... | 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?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a pizza located at [49, 17, 52, 19]\\n\\nNow examining the auxiliary perspective (Image B):\\n- I... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [
"shoe_noise0",
"bowl_noise1"
],
"objects": [
"pizza_0",
"pizza_1",
"shoe_noise0",
"bowl_noise1"
],
"original_answer": ... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAgIDAQEAAAAAAAAAAAAAAAECAwQFBgcI/8QARBAAAQMCBAIHBgMGBgED... | 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 and peach can you find?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a fork located at [171, 112, 193, 121]\\n- There's a peach positioned at coordinates [236, 96,... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [],
"objects": [
"fork_0",
"fork_1",
"peach_0",
"peach_1"
],
"original_answer": null,
"original_question": null,
"question_id"... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABFEAACAQIEAwQGBwcDAwQD... | 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 are available for use?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a meat located at [142, 144, 155, 152]\\n- There's a apple positioned at coordinates ... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [],
"objects": [
"meat_0",
"meat_1",
"apple_0",
"apple_1"
],
"original_answer": null,
"original_question": null,
"question_id"... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABBEAABAwIEAwYDBQYFAwUA... | 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 fork and peach are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a fork located at [143, 127, 187, 137]\\n\\nNow examining the auxiliary perspect... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [
"pumpkin_noise0",
"banana_noise1"
],
"objects": [
"fork_0",
"fork_1",
"peach_0",
"pumpkin_noise0",
"banana_noise1"
]... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAEDBAUGAgcI/8QAQxAAAgEDAgMFBgQEBAUE... | 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 number of bread to be counted?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first bread at [255, 95, 274, 106]\\n- I also see a second bread at [214, 97, 235, 10... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 2,
"noise_objects": [
"scissors_noise0",
"plate_noise1"
],
"objects": [
"bread_0",
"bread_1",
"scissors_noise0",
"plate_noise1"
],
"original... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAgMBAQEBAAAAAAAAAAAAAAECAwQFBgcI/8QAQxAAAQQABAIIAwUGBgED... | 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 [221, 108, 233, 118]\\n\\nNow examining the auxiliary perspective (Image... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [
"pot_noise0",
"cardboardbox_noise1",
"bread_noise2"
],
"objects": [
"cup_0",
"pot_noise0",
"cardboardbox_noise1",
"bre... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAIBAwQFBgf/xAA9EAACAQIEAwUFBwMEAgMB... | 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 cup and shoe can be seen in this task?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first cup at [337, 110, 362, 122]\\n- I also see a second cup at [240, 96, 247, ... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 2,
"noise_objects": [
"cooling_fan_noise0",
"meat_noise1"
],
"objects": [
"cup_0",
"cup_1",
"shoe_0",
"cooling_fan_noise0",
"meat_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 figure out how many apple are here?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a apple located at [302, 85, 313, 94]\\n\\nNow examining the auxiliary perspective (Imag... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [
"cup_noise0",
"cardboardbox_noise1",
"cardboardbox_noise2"
],
"objects": [
"apple_0",
"cup_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 'What is the exact number of banana and peach?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a banana located at [318, 106, 336, 124]\\n\\nNow examining the auxiliary perspective ... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [
"pizza_noise0",
"bowl_noise1",
"pizza_noise2"
],
"objects": [
"banana_0",
"pizza_noise0",
"bowl_noise1",
"pizza_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 pear exist?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a pear located at [219, 103, 228, 114]\\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": 9,
"noise_objects": [
"knife_noise0",
"rock_noise1"
],
"objects": [
"pear_0",
"pear_1",
"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 pizza and pear are present?'.\\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 [162, 96, 184, 105]\... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [
"meat_noise0",
"kettle_noise1",
"bread_noise2"
],
"objects": [
"pizza_0",
"meat_noise0",
"kettle_noise1",
"bread_noise... |
[
{
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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 bowl can you find?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a bowl located at [337, 88, 345, 94]\\n\\nNow examining the auxiliary perspective (Image B):\\n- I can s... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [
"shoe_noise0",
"cardboardbox_noise1",
"cardboardbox_noise2"
],
"objects": [
"bowl_0",
"shoe_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 'Can you figure out how many pizza and hammer are here?'.\\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 [1... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"pumpkin_noise0",
"scissors_noise1"
],
"objects": [
"pizza_0",
"hammer_0",
"pumpkin_noise0",
"scissors_noise1"
],
"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 fork and peach are in the area?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a fork located at [193, 65, 199, 70]\\n- There's a peach positioned at coordin... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [
"banana_noise0",
"cardboardbox_noise1"
],
"objects": [
"fork_0",
"peach_0",
"banana_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 'What is the total number of cup?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a cup located at [75, 81, 90, 91]\\n\\nNow examining the auxiliary perspective (Image B):\\n- In th... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"tomato_noise0",
"cardboardbox_noise1"
],
"objects": [
"cup_0",
"cup_1",
"tomato_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 'Can you identify all the pizza?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first pizza at [322, 115, 354, 131]\\n- I also see a second pizza at [198, 86, 215, 94]\\n\\nNow... | {
"category": null,
"dataset_name": "ObjectCount_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [
"rock_noise0",
"plate_noise1"
],
"objects": [
"pizza_0",
"pizza_1",
"rock_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 'Can you calculate how many cup and pear are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a cup located at [207, 85, 217, 93]\\n\\nNow examining the auxiliary perspectiv... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [
"rock_noise0",
"scissors_noise1",
"bread_noise2"
],
"objects": [
"cup_0",
"rock_noise0",
"scissors_noise1",
"bread_noi... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAECAwQFBgf/xABBEAABAwMCAwYDBwMEAQEJ... | 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 clothes_iron are in the area?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first clothes at [176, 85, 193, 110]\\n- I also see a second clothes at [165... | {
"category": null,
"dataset_name": "ObjectCount_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [
"spoon_noise0",
"scissors_noise1"
],
"objects": [
"clothes_iron_0",
"clothes_iron_1",
"clothes_iron_2",
"spoon_noise0",
... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAEDBAUGAgcI/8QASRAAAQMDAgQDBQUFBQYD... | 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 pumpkin and bread.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first pumpkin at [253, 68, 266, 76]\\n- I also see a second pumpkin at [1... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [
"bowl_noise0",
"bowl_noise1"
],
"objects": [
"pumpkin_0",
"pumpkin_1",
"bread_0",
"bowl_noise0",
"bowl_noise1"
],
... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwABAAIDAQEAAAAAAAAAAAAAAAECAwQGBQf/xAA+EAABAwIEAgcGBAYBBQEB... | 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 fork and clothes_iron?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first fork at [302, 101, 310, 109]\\n- I also see a second fork at [235, ... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 2,
"noise_objects": [],
"objects": [
"fork_0",
"fork_1",
"fork_2",
"clothes_iron_0",
"clothes_iron_1",
"clothes_iron_2"
],
"original_answer": ... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECBAUGAwf/xABIEAABAwIEAwUFBQYDBQgD... | 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 tell me how many pear exist?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a pear located at [52, 15, 54, 16]\\n\\nNow examining the auxiliary perspective (Image B):\\n... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [
"green_peas_noise0",
"cup_noise1"
],
"objects": [
"pear_0",
"pear_1",
"green_peas_noise0",
"cup_noise1"
],
"original_a... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAQACAwQFBgf/xABHEAABAwIEAwYCCAMHAgQH... | 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 meat and hammer.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a meat located at [3, 92, 17, 98]\\n\\nNow examining the auxiliary perspective (Image... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [],
"objects": [
"meat_0",
"meat_1",
"hammer_0",
"hammer_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 fork and tomato are needed for this operation?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a fork located at [51, 14, 54, 15]\\n- There's a tomato positioned at coordi... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [
"pear_noise0",
"scissors_noise1"
],
"objects": [
"fork_0",
"tomato_0",
"pear_noise0",
"scissors_noise1"
],
"original_a... |
[
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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 cup and kettle?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a cup located at [246, 85, 258, 92]\\n- There's a kettle positioned at coordinates [... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [
"pumpkin_noise0",
"bowl_noise1"
],
"objects": [
"cup_0",
"kettle_0",
"pumpkin_noise0",
"bowl_noise1"
],
"original_answ... |
[
{
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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 fork and pear?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a fork located at [34, 19, 39, 20]\\n- There's a pear positioned at coordinates [37, 16, ... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [],
"objects": [
"fork_0",
"fork_1",
"pear_0",
"pear_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 'Can you identify all the meat?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a meat located at [344, 120, 349, 125]\\n\\nNow examining the auxiliary perspective (Image B):\\n- I ... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [
"pizza_noise0",
"peach_noise1",
"green_peas_noise2"
],
"objects": [
"meat_0",
"pizza_noise0",
"peach_noise1",
"green_p... |
[
{
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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 fork are present?'.\\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_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [
"rock_noise0",
"plate_noise1",
"scissors_noise2"
],
"objects": [
"rock_noise0",
"plate_noise1",
"scissors_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 pumpkin and plate do you observe?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first pumpkin at [327, 117, 368, 140]\\n- I also see a second pumpkin at [174, 92, 18... | {
"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",
"plate_0",
"plate_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 list how many fork and pear are available?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n- I can see a fork located at [58, 24... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [
"rock_noise0",
"meat_noise1"
],
"objects": [
"fork_0",
"pear_0",
"rock_noise0",
"meat_noise1"
],
"original_answer": nu... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwABAQACAwEAAAAAAAAAAAAAAQACBgMEBwX/xABHEAABAwIEAwQIAwYEBAUF... | 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 hammer?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a hammer located at [162, 52, 179, 66]\\n\\nNow examining the auxiliary perspective (Image B... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [],
"objects": [
"hammer_0",
"hammer_1",
"hammer_2",
"hammer_3"
],
"original_answer": null,
"original_question": null,
"questi... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAQIAAwQFBgf/xABBEAABBAAEBAQDBwMDAgQH... | 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 scissors?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a scissors located at [186, 89, 197, 96]\\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": 4,
"noise_objects": [
"peach_noise0",
"kettle_noise1"
],
"objects": [
"scissors_0",
"scissors_1",
"peach_noise0",
"kettle_noise1"
],
"origin... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAwABAgQFBgf/xABEEAACAQMBBQUFBgUCBAUF... | 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 and bread are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a fork located at [45, 22, 50, 27]\\n- There's a bread positioned at coordinates [37, 11, 39, 1... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [
"pot_noise0",
"clothes_iron_noise1"
],
"objects": [
"fork_0",
"fork_1",
"bread_0",
"pot_noise0",
"clothes_iron_noise1"... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAECAwQFBgcI/8QARBAAAQMDAwIEAwYEBAQF... | 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 scissors?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first scissors at [339, 115, 360, 128]\\n- I also see a second scissors at [202, 81, 217, 91]... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [
"cup_noise0",
"hammer_noise1"
],
"objects": [
"scissors_0",
"scissors_1",
"scissors_2",
"cup_noise0",
"hammer_noise1"
... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAgABAwQFBgf/xABCEAACAQMDAgQDBgMGBQMF... | 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 apple?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a apple located at [42, 9, 44, 12]\\n\\nNow examining the auxiliary perspective (Image B):\\n- In th... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [
"bread_noise0",
"pot_noise1"
],
"objects": [
"apple_0",
"apple_1",
"apple_2",
"bread_noise0",
"pot_noise1"
],
"ori... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAECAwQFBgf/xAA9EAABBAAEAwYDBwMCBgMA... | 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 pizza and bread in this area?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a pizza located at [54, 19, 58, 20]\\n- There's a bread positioned at coordina... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 2,
"noise_objects": [
"knife_noise0",
"spoon_noise1"
],
"objects": [
"pizza_0",
"bread_0",
"knife_noise0",
"spoon_noise1"
],
"original_answe... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABCEAACAQIEAwUGBAQFAwMF... | 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 wooden_cutting_board are in the area?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first wooden at [340, 91, 369, 99]\\n- I also see a second wooden at... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [
"kettle_noise0",
"peach_noise1"
],
"objects": [
"wooden_cutting_board_0",
"wooden_cutting_board_1",
"kettle_noise0",
"peac... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAABAABAgMFBgf/xABBEAACAQIEAwUECAYBBAEF... | 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 kettle?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a kettle located at [40, 14, 43, 18]\\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": 3,
"noise_objects": [
"cooling_fan_noise0",
"pot_noise1"
],
"objects": [
"kettle_0",
"kettle_1",
"cooling_fan_noise0",
"pot_noise1"
],
"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 'How many bowl 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\\nAnalyzing spatial correspondence between the ... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [
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"pizza_noise1",
"knife_noise2"
],
"objects": [
"kettle_noise0",
"pizza_noise1",
"knife_noise2"
],
"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 tomato are available for use?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first tomato at [136, 108, 154, 124]\\n- I also see a second tomato at [173, 13, 187, 28]... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [
"clothes_iron_noise0",
"rock_noise1"
],
"objects": [
"tomato_0",
"tomato_1",
"tomato_2",
"clothes_iron_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 pumpkin should be considered for the next task?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first pumpkin at [353, 93, 383, 108]\\n- I also see a second pumpkin at... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [
"wine_noise0",
"knife_noise1"
],
"objects": [
"pumpkin_0",
"pumpkin_1",
"wine_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 'What is the total number of tomato?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a tomato located at [326, 116, 347, 128]\\n\\nNow examining the auxiliary perspective (Image B):... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [
"kettle_noise0",
"pear_noise1",
"scissors_noise2"
],
"objects": [
"tomato_0",
"kettle_noise0",
"pear_noise1",
"scissor... |
[
{
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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 wine and kettle.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first wine at [272, 77, 281, 97]\\n- I also see a second wine at [226, 76, ... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 2,
"noise_objects": [],
"objects": [
"wine_0",
"wine_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 'What is the total number of wooden_cutting_board and bowl?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a bowl located at [2, 140, 27, 152]\\n\\nNow examining the auxiliary pers... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"green_peas_noise0",
"cup_noise1"
],
"objects": [
"wooden_cutting_board_0",
"bowl_0",
"green_peas_noise0",
"cup_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 shoe do you need to move?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a shoe located at [41, 16, 45, 18]\\n\\nNow examining the auxiliary perspective (Image B):\\n- I ... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [
"meat_noise0",
"cup_noise1"
],
"objects": [
"shoe_0",
"shoe_1",
"meat_noise0",
"cup_noise1"
],
"original_answer": null... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAQACAwQFBgcI/8QARRAAAQMCBAMFBQUFBwME... | 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 scissors and peach in this area?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a scissors located at [190, 69, 205, 72]\\n- There's a peach positioned at ... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [],
"objects": [
"scissors_0",
"scissors_1",
"peach_0",
"peach_1"
],
"original_answer": null,
"original_question": null,
"ques... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAwADAQEAAAAAAAAAAAAAAAECAwUHBAb/xABDEAABAwIDBAgDBQYDCQEA... | 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 banana?'.\\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 [25, 25, 27, 27]\\n\\nA... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [
"clothes_iron_noise0",
"meat_noise1",
"pear_noise2"
],
"objects": [
"banana_0",
"clothes_iron_noise0",
"meat_noise1",
... |
[
{
"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 scissors?'.\\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": 5,
"noise_objects": [
"kettle_noise0",
"apple_noise1",
"tomato_noise2"
],
"objects": [
"kettle_noise0",
"apple_noise1",
"tomato_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 and shoe can you find?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a scissors located at [131, 127, 148, 148]\\n\\nNow examining the auxiliary perspective (Im... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"fork_noise0",
"apple_noise1"
],
"objects": [
"scissors_0",
"scissors_1",
"shoe_0",
"fork_noise0",
"apple_noise1"
],... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAECAwQFBgf/xABHEAABAwMBBQUFBQUECAcA... | 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 banana can you find?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a banana located at [320, 84, 328, 90]\\n\\nNow examining the auxiliary perspective (Image B):\\n- I c... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [
"scissors_noise0",
"shoe_noise1",
"pear_noise2"
],
"objects": [
"banana_0",
"scissors_noise0",
"shoe_noise1",
"pear_no... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAECAwQFBgcI/8QARxAAAQMCBAMFBQYEAwcC... | 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 pizza are here?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a pizza located at [124, 79, 141, 87]\\n\\nNow examining the auxiliary perspective (Imag... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"cup_noise0",
"banana_noise1",
"tomato_noise2"
],
"objects": [
"pizza_0",
"cup_noise0",
"banana_noise1",
"tomato_noise... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAECAwQFBgcI/8QAQRAAAQMCBAIIAggEBQQD... | 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 and apple can be seen in this task?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first wine at [30, 21, 32, 25]\\n- I also see a second wine at [54, 3, 57, 9]\... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [],
"objects": [
"wine_0",
"wine_1",
"wine_2",
"apple_0",
"apple_1"
],
"original_answer": null,
"original_question": null,
... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAgMAAQQFBgf/xABBEAACAQMDAgQDBgMHAwQC... | 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\\nNow examining the auxiliary perspective (Image B):\\n- I can see a meat located at [85, ... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [
"spoon_noise0",
"pizza_noise1"
],
"objects": [
"meat_0",
"pear_0",
"spoon_noise0",
"pizza_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 'Can you count the banana and clothes_iron?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a banana located at [39, 17, 40, 19]\\n- There's a clothes positioned at coordinates [31,... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [],
"objects": [
"banana_0",
"banana_1",
"clothes_iron_0",
"clothes_iron_1"
],
"original_answer": null,
"original_question": nul... |
[
{
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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 pear.'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n\\nAnalyzing spatial correspondence between th... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"bread_noise0",
"bread_noise1",
"peach_noise2"
],
"objects": [
"bread_noise0",
"bread_noise1",
"peach_noise2"
],
"orig... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAECAwQFBgcI/8QARhAAAQMCBAQEAwYDBgMH... | 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 cup and apple are there in this space?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a cup located at [333, 122, 360, 140]\\n\\nNow examining the auxiliary perspective (... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [
"pizza_noise0",
"pumpkin_noise1",
"plate_noise2"
],
"objects": [
"cup_0",
"pizza_noise0",
"pumpkin_noise1",
"plate_noi... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAgIDAQEAAAAAAAAAAAAAAQIAAwUGBwQI/8QASRAAAQMCBAIIAgYGCAMJ... | 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 pizza and bowl.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a pizza located at [21, 16, 26, 21]\\n- There's a bowl positioned at coordinates... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [],
"objects": [
"pizza_0",
"pizza_1",
"bowl_0",
"bowl_1"
],
"original_answer": null,
"original_question": null,
"question_id"... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAECBAUDBgf/xABFEAABAwMCAwUFBgQEBAUF... | 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 pear are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first pumpkin at [343, 92, 376, 106]\\n- I also see a second pumpkin at [120, 102, 144, 1... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [],
"objects": [
"pumpkin_0",
"pumpkin_1",
"pumpkin_2",
"pear_0",
"pear_1"
],
"original_answer": null,
"original_question": ... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAECAwQFBgf/xABCEAABAwIEAwcABwYEBQUA... | 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 cup and hammer are located here?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a cup located at [31, 20, 34, 23]\\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": 4,
"noise_objects": [
"spoon_noise0",
"spoon_noise1"
],
"objects": [
"cup_0",
"cup_1",
"hammer_0",
"spoon_noise0",
"spoon_noise1"
],
"or... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgIDAQAAAAAAAAAAAAAAAQIAAwQFBgf/xAA+EAABAwIEAwYEBAQHAAID... | 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 pear are available?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first pear at [366, 107, 383, 123]\\n- I also see a second pear at [219, 90, 228, 104]... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 2,
"noise_objects": [
"cooling_fan_noise0",
"peach_noise1"
],
"objects": [
"pear_0",
"pear_1",
"pear_2",
"cooling_fan_noise0",
"peach_noise1... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAECAwQFBgf/xABBEAABAwIEAwYEBAYBAwIH... | 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 pumpkin and green_peas?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a pumpkin located at [227, 101, 244, 114]\\n- There's a green positioned at coor... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [
"pizza_noise0",
"apple_noise1"
],
"objects": [
"pumpkin_0",
"pumpkin_1",
"green_peas_0",
"pizza_noise0",
"apple_noise1... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAgMBAQEBAAAAAAAAAAAAAQIAAwQFBgcI/8QAQhAAAgECBAMGAwYEBAUE... | 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 cup and kettle should be considered for the next task?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a cup located at [44, 19, 46, 21]\\n- There's a kettle positioned at... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [],
"objects": [
"cup_0",
"cup_1",
"kettle_0",
"kettle_1"
],
"original_answer": null,
"original_question": null,
"question_id"... |
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