images listlengths 2 2 | data_source large_stringclasses 4
values | prompt listlengths 2 2 | ability large_stringclasses 4
values | reward_model dict | metadata dict |
|---|---|---|---|---|---|
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
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"layout_id": 1,
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],
"objects": [
"fork_0",
"fork_1",
"kettle_0",
"cardboardbox_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 'Can you assess how many apple are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a apple located at [39, 14, 41, 17]\\n\\nNow examining the auxiliary perspective (Image B... | {
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],
"objects": [
"apple_0",
"apple_1",
"green_peas_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 'Could you tell me how many banana and hammer exist?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first banana at [65, 84, 73, 90]\\n- I also see a second banana at [144, 174... | {
"category": null,
"dataset_name": "ObjectCount_5",
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"layout_id": 6,
"noise_objects": [
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"kettle_noise1"
],
"objects": [
"banana_0",
"banana_1",
"hammer_0",
"shoe_noise0",
"kettle_noise1"
],... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many pizza do you need to move?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first pizza at [0, 27, 5, 30]\\n- I also see a second pizza at [24, 28, 30, 33]\\n\\nNow exa... | {
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"layout_id": 0,
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],
"objects": [
"pizza_0",
"pizza_1",
"peach_noise0",
"spoon_noise1"
],
"original_answe... |
[
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many pizza and hammer are located here?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a pizza located at [36, 22, 39, 25]\\n- There's a hammer positioned at coordinates [45, ... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [
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"green_peas_noise1"
],
"objects": [
"pizza_0",
"hammer_0",
"wine_noise0",
"green_peas_noise1"
],
"origi... |
[
{
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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 wine are available?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first wine at [23, 21, 27, 28]\\n- I also see a second wine at [25, 10, 28, 19]\\n\\nN... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
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"cardboardbox_noise1"
],
"objects": [
"wine_0",
"wine_1",
"wine_2",
"apple_noise0",
"cardboardbox_nois... |
[
{
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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 hammer there are?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a hammer located at [334, 87, 352, 96]\\n\\nNow examining the auxiliary perspective (Im... | {
"category": null,
"dataset_name": "ObjectCount_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [
"meat_noise0",
"tomato_noise1",
"knife_noise2"
],
"objects": [
"hammer_0",
"meat_noise0",
"tomato_noise1",
"knife_nois... |
[
{
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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 pizza and peach?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first pizza at [232, 119, 260, 137]\\n- I also see a second pizza at [12, 125, 58, ... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [],
"objects": [
"pizza_0",
"pizza_1",
"peach_0",
"peach_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 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 [239, 88, 253, 103]\\n\\nNow examining the auxiliary perspective (... | {
"category": null,
"dataset_name": "ObjectCount_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [
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"knife_noise1"
],
"objects": [
"kettle_0",
"kettle_1",
"banana_noise0",
"knife_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 shoe are there in this space?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a shoe located at [278, 81, 292, 90]\\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": 7,
"noise_objects": [
"pizza_noise0",
"green_peas_noise1",
"scissors_noise2"
],
"objects": [
"shoe_0",
"pizza_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 'Can you identify all the pizza and shoe?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a pizza located at [122, 136, 150, 155]\\n- There's a shoe positioned at coordinates [152, ... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [],
"objects": [
"pizza_0",
"pizza_1",
"shoe_0",
"shoe_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 fork and bread do you need to move?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first fork at [295, 79, 304, 82]\\n- I also see a second fork at [160, 117, 163, 12... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"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 banana can be seen in this task?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a banana located at [190, 86, 199, 92]\\n\\nNow examining the auxiliary perspective (Image... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [
"cardboardbox_noise0",
"bowl_noise1"
],
"objects": [
"banana_0",
"banana_1",
"cardboardbox_noise0",
"bowl_noise1"
],
"... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many cup are visible in this location?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first cup at [222, 68, 231, 75]\\n- I also see a second cup at [177, 16, 190, 26]\\n\... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"clothes_iron_noise0",
"apple_noise1"
],
"objects": [
"cup_0",
"cup_1",
"cup_2",
"clothes_iron_noise0",
"apple_noise1"... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAECAwQFBgf/xABCEAABAwIFAQYCCQMDAgUF... | 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 pizza and pear?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first pizza at [76, 23, 77, 24]\\n- I also see a second pizza at [27, 24, 35, 28]\\n- T... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [],
"objects": [
"pizza_0",
"pizza_1",
"pizza_2",
"pear_0",
"pear_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 'Can you determine the number of scissors and bowl?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a scissors located at [186, 69, 195, 76]\\n- There's a bowl positioned at coordin... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [],
"objects": [
"scissors_0",
"scissors_1",
"bowl_0",
"bowl_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 'How many scissors are located here?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first scissors at [64, 22, 75, 26]\\n- I also see a second scissors at [45, 18, 46, 19]\\n\\... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 2,
"noise_objects": [
"pear_noise0",
"pot_noise1"
],
"objects": [
"scissors_0",
"scissors_1",
"scissors_2",
"pear_noise0",
"pot_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 list how many wine and kettle are available?'.\\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_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [
"bowl_noise0",
"cooling_fan_noise1",
"bowl_noise2"
],
"objects": [
"bowl_noise0",
"cooling_fan_noise1",
"bowl_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 'Can you identify all the banana and tomato?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a banana located at [147, 119, 162, 129]\\n- There's a tomato positioned at coordinates ... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [
"bowl_noise0",
"fork_noise1"
],
"objects": [
"banana_0",
"tomato_0",
"bowl_noise0",
"fork_noise1"
],
"original_answer"... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you assess how many clothes_iron are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a clothes located at [229, 78, 239, 97]\\n\\nNow examining the auxiliary perspecti... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [
"green_peas_noise0",
"bread_noise1"
],
"objects": [
"clothes_iron_0",
"clothes_iron_1",
"green_peas_noise0",
"bread_noise1... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'What is the count of wine in the scene?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first wine at [220, 87, 229, 111]\\n- I also see a second wine at [269, 17, 286, 50]\\n-... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [],
"objects": [
"wine_0",
"wine_1",
"wine_2",
"wine_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 'How many cup and clothes_iron can you find?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n- I can see a cup located at [43, 22, 48, 25... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [
"wooden_cutting_board_noise0",
"spoon_noise1",
"bowl_noise2"
],
"objects": [
"cup_0",
"wooden_cutting_board_noise0",
"spoo... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you assess how many fork are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a fork located at [212, 99, 228, 106]\\n\\nNow examining the auxiliary perspective (Image ... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 2,
"noise_objects": [
"pizza_noise0",
"scissors_noise1"
],
"objects": [
"fork_0",
"fork_1",
"pizza_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 'How many pear can you find?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a pear located at [255, 76, 264, 89]\\n\\nNow examining the auxiliary perspective (Image B):\\n- In this... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [
"shoe_noise0",
"tomato_noise1"
],
"objects": [
"pear_0",
"pear_1",
"pear_2",
"shoe_noise0",
"tomato_noise1"
],
"or... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAECAwUEBgf/xABAEAABAwIEAwYEBAMIAgID... | 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 bowl to be counted?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a bowl located at [250, 97, 258, 103]\\n\\nNow examining the auxiliary perspective (Image ... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [
"scissors_noise0",
"pot_noise1"
],
"objects": [
"bowl_0",
"bowl_1",
"scissors_noise0",
"pot_noise1"
],
"original_answe... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAECAwUEBgf/xABBEAABAwMCAwYCCAUDAwQD... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you calculate how many fork are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a fork located at [181, 97, 206, 100]\\n\\nNow examining the auxiliary perspective (Ima... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [
"clothes_iron_noise0",
"wine_noise1"
],
"objects": [
"fork_0",
"fork_1",
"clothes_iron_noise0",
"wine_noise1"
],
"orig... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAECBAUDBgf/xABGEAABAwMCBAMFBgMGAwcF... | 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 clothes_iron?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first clothes at [317, 78, 335, 93]\\n- I also see a second clothes at [123, 90, 153, 108]\\n\\n... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [
"scissors_noise0",
"pumpkin_noise1"
],
"objects": [
"clothes_iron_0",
"clothes_iron_1",
"clothes_iron_2",
"scissors_noise0... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAwADAQEAAAAAAAAAAAAAAAECAwQFBgf/xABFEAABAwIDBAYHBgQEBQUA... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many banana are located here?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first banana at [17, 135, 31, 148]\\n- I also see a second banana at [142, 138, 154, 158]\\n- ... | {
"category": null,
"dataset_name": "ObjectCount_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [],
"objects": [
"banana_0",
"banana_1",
"banana_2",
"banana_3"
],
"original_answer": null,
"original_question": null,
"questi... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAECAwQFBgcI/8QARxAAAQMCBAIHBQUECAYC... | 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 meat and kettle?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first meat at [284, 100, 290, 104]\\n- I also see a second meat at [227, 100, 234, ... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 2,
"noise_objects": [
"pot_noise0",
"fork_noise1"
],
"objects": [
"meat_0",
"meat_1",
"kettle_0",
"pot_noise0",
"fork_noise1"
],
"origin... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAECAwQFBgcI/8QARBAAAQMCBAMFBQYEBAYB... | 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 kettle are available?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first scissors at [366, 103, 383, 110]\\n- I also see a second scissors... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [
"clothes_iron_noise0",
"pumpkin_noise1"
],
"objects": [
"scissors_0",
"scissors_1",
"kettle_0",
"clothes_iron_noise0",
... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAAcBAQAAAAAAAAAAAAAAAAECAwQFBgcI/8QAShAAAQMCBAQDBAkBBgMF... | 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 shoe are there?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wine located at [34, 10, 35, 15]\\n- There's a shoe positioned at coordinates [22, 15, 24, 17]\\... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"clothes_iron_noise0",
"pumpkin_noise1"
],
"objects": [
"wine_0",
"wine_1",
"shoe_0",
"clothes_iron_noise0",
"pumpkin_... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many wooden_cutting_board and kettle do you need to move?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wooden located at [51, 84, 79, 95]\\n\\nNow examining the auxiliary ... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"clothes_iron_noise0",
"cup_noise1"
],
"objects": [
"wooden_cutting_board_0",
"kettle_0",
"clothes_iron_noise0",
"cup_nois... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAAcBAQAAAAAAAAAAAAAAAAECAwQFBgcI/8QASBAAAQMCBAMFBQYDBgUB... | 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 wine and apple exist?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wine located at [213, 71, 224, 102]\\n- There's a apple positioned at coordinates... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [
"scissors_noise0",
"green_peas_noise1"
],
"objects": [
"wine_0",
"wine_1",
"apple_0",
"scissors_noise0",
"green_peas_n... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABFEAABAwIEAwUFBgMGBgEF... | 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 shoe are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a fork located at [243, 121, 274, 151]\\n- There's a shoe positioned at coordinat... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [
"bowl_noise0",
"rock_noise1"
],
"objects": [
"fork_0",
"shoe_0",
"bowl_noise0",
"rock_noise1"
],
"original_answer": nu... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAgMBAQEBAAAAAAAAAAAAAAECBAUDBgcI/8QAQBAAAQMCBAMGBAQEBgEE... | 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 kettle.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first kettle at [196, 94, 211, 108]\\n- I also see a second kettle at [275, 42, 279, 49]\\... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [
"spoon_noise0",
"fork_noise1"
],
"objects": [
"kettle_0",
"kettle_1",
"kettle_2",
"spoon_noise0",
"fork_noise1"
],
... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAEDBAUGAgf/xABGEAABAwIEBAQCBwYEBQIH... | 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 needed for this operation?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first bowl at [126, 77, 136, 84]\\n- I also see a second bowl at [206, 16, 215, 23]... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"peach_noise0",
"wooden_cutting_board_noise1"
],
"objects": [
"bowl_0",
"bowl_1",
"bowl_2",
"peach_noise0",
"wooden_cu... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAgABAwQFBgf/xABFEAACAQMCBAIHBgUCBAMJ... | 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 hammer are available for use?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first pumpkin at [342, 130, 383, 158]\\n- I also see a second pumpkin at [137... | {
"category": null,
"dataset_name": "ObjectCount_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [],
"objects": [
"pumpkin_0",
"pumpkin_1",
"pumpkin_2",
"hammer_0",
"hammer_1",
"hammer_2"
],
"original_answer": null,
"... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAwADAQEAAAAAAAAAAAAAAAECAwQFBgf/xABFEAABAwIDBQUFBQUHBAID... | 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 peach?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first peach at [251, 89, 260, 96]\\n- I also see a second peach at [267, 40, 272, 48]\\n\\nNo... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [
"pear_noise0",
"scissors_noise1"
],
"objects": [
"peach_0",
"peach_1",
"peach_2",
"pear_noise0",
"scissors_noise1"
]... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAEDBAUGAgcI/8QARRAAAQMCBAMFBQYEBQIF... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many tomato are visible in this location?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n\\nAnalyzing spatial correspondence betwee... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"hammer_noise0",
"clothes_iron_noise1",
"kettle_noise2"
],
"objects": [
"hammer_noise0",
"clothes_iron_noise1",
"kettle_no... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAECBAUGAwcI/8QARBAAAQMCBAMFBQYEBQMD... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many scissors and bread can you find?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a scissors located at [189, 68, 198, 76]\\n\\nNow examining the auxiliary perspective (Ima... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"banana_noise0",
"pumpkin_noise1",
"hammer_noise2"
],
"objects": [
"scissors_0",
"banana_noise0",
"pumpkin_noise1",
"h... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgIDAQAAAAAAAAAAAAAAAAECBgMEBQf/xABHEAABAwIEAgcGAwYFAgQH... | 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 clothes_iron are available?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a clothes located at [234, 51, 251, 92]\\n\\nNow examining the auxiliary perspecti... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [
"pumpkin_noise0",
"pizza_noise1"
],
"objects": [
"clothes_iron_0",
"clothes_iron_1",
"pumpkin_noise0",
"pizza_noise1"
],... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABMEAABAwIEAgYJAQQFCwIH... | 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 plate?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a plate located at [215, 87, 236, 95]\\n\\nNow examining the auxiliary perspective (Image B):\\n- In... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [
"green_peas_noise0",
"pot_noise1"
],
"objects": [
"plate_0",
"plate_1",
"green_peas_noise0",
"pot_noise1"
],
"original... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABOEAACAAQEAgYFCQQGCQQD... | 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 clothes_iron.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first pizza at [0, 133, 35, 150]\\n- I also see a second pizza at [1... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"bread_noise0",
"tomato_noise1"
],
"objects": [
"pizza_0",
"pizza_1",
"clothes_iron_0",
"bread_noise0",
"tomato_noise1... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAECAwQFBgcI/8QAQRAAAQMCAwQIBAUCBQQC... | 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 pumpkin and bread in this area?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first pumpkin at [337, 88, 367, 101]\\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": [],
"objects": [
"pumpkin_0",
"pumpkin_1",
"pumpkin_2",
"bread_0",
"bread_1"
],
"original_answer": null,
"original_question"... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECBAUGAwf/xABIEAABAwIEAggDBQYCCQMF... | 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 [155, 85, 178, 92]\\n\\nNow examining the auxiliary perspective (Im... | {
"category": null,
"dataset_name": "ObjectCount_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [
"hammer_noise0",
"apple_noise1",
"bowl_noise2"
],
"objects": [
"bread_0",
"hammer_noise0",
"apple_noise1",
"bowl_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 scissors and green_peas are needed for this operation?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a scissors located at [160, 110, 185, 131]\\n\\nNow examining the au... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [
"shoe_noise0",
"hammer_noise1"
],
"objects": [
"scissors_0",
"scissors_1",
"green_peas_0",
"shoe_noise0",
"hammer_nois... |
[
{
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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 shoe can you find?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a fork located at [141, 138, 172, 142]\\n- There's a shoe positioned at coordinates [0, 135, 17... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"pizza_noise0",
"bread_noise1"
],
"objects": [
"fork_0",
"fork_1",
"shoe_0",
"pizza_noise0",
"bread_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 'What is the number of wooden_cutting_board and apple to be counted?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wooden located at [202, 87, 228, 111]\\n- There's a apple posi... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [],
"objects": [
"wooden_cutting_board_0",
"wooden_cutting_board_1",
"wooden_cutting_board_2",
"apple_0",
"apple_1"
],
"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 'Please estimate the total number of tomato.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first tomato at [187, 81, 195, 88]\\n- I also see a second tomato at [240, 82, 249, ... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [],
"objects": [
"tomato_0",
"tomato_1",
"tomato_2",
"tomato_3"
],
"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 'How many hammer are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first hammer at [67, 23, 73, 26]\\n- I also see a second hammer at [27, 23, 28, 26]\\n- There's als... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"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/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAECAwQFBgf/xABBEAABAwIEAwYDBgQEBQUA... | 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 are needed for this operation?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a cup located at [164, 99, 179, 111]\\n\\nNow examining the auxiliary perspective (Image... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [
"bread_noise0",
"pumpkin_noise1"
],
"objects": [
"cup_0",
"cup_1",
"bread_noise0",
"pumpkin_noise1"
],
"original_answe... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAgABAwQFBgf/xABFEAACAQMCBAIHBwIEBQMD... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many wooden_cutting_board and apple can you find?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wooden located at [333, 122, 372, 150]\\n- There's a apple positioned at coo... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [
"pear_noise0",
"cooling_fan_noise1"
],
"objects": [
"wooden_cutting_board_0",
"apple_0",
"pear_noise0",
"cooling_fan_noise... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABGEAACAQMCAwYDBQYFBAAE... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you calculate how many plate are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a plate located at [339, 123, 383, 150]\\n\\nNow examining the auxiliary perspective (... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [
"banana_noise0",
"cardboardbox_noise1",
"green_peas_noise2"
],
"objects": [
"plate_0",
"banana_noise0",
"cardboardbox_nois... |
[
{
"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 wine and apple can be seen in this task?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wine located at [199, 67, 204, 86]\\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": 7,
"noise_objects": [],
"objects": [
"wine_0",
"wine_1",
"apple_0",
"apple_1"
],
"original_answer": null,
"original_question": null,
"question_id"... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAAcBAQAAAAAAAAAAAAAAAAECAwQFBgcI/8QAShAAAQMCBAQDBAgDBQUG... | 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 do you observe?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first fork at [124, 78, 145, 83]\\n- I also see a second fork at [175, 20, 198, 24]\\n\\nNow exami... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"hammer_noise0",
"kettle_noise1"
],
"objects": [
"fork_0",
"fork_1",
"fork_2",
"hammer_noise0",
"kettle_noise1"
],
... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAECAwQFBgcI/8QAShAAAQMCBAIGCAIIAwcC... | 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 green_peas 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_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [
"bowl_noise0",
"banana_noise1",
"clothes_iron_noise2"
],
"objects": [
"bowl_noise0",
"banana_noise1",
"clothes_iron_noise2... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAECAwQFBgcI/8QAShAAAQMDAwEFBQUFBAgD... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Can you calculate how many wine and kettle are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n\\nAnalyzing spatial corresponde... | {
"category": null,
"dataset_name": "ObjectCount_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [
"hammer_noise0",
"peach_noise1",
"bowl_noise2"
],
"objects": [
"hammer_noise0",
"peach_noise1",
"bowl_noise2"
],
"orig... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABLEAABAwIDBQQGBgYGCQUA... | 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 pizza and bread to be counted?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a pizza located at [172, 84, 186, 88]\\n- There's a bread positioned at coordin... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [
"cardboardbox_noise0",
"cooling_fan_noise1"
],
"objects": [
"pizza_0",
"pizza_1",
"bread_0",
"cardboardbox_noise0",
"c... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAECAwQFBgf/xABBEAABAwIEBAQDBgUBBgcA... | 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 wine and bowl?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wine located at [183, 67, 193, 107]\\n\\nNow examining the auxiliary perspective (I... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [
"pizza_noise0",
"cooling_fan_noise1"
],
"objects": [
"wine_0",
"wine_1",
"bowl_0",
"pizza_noise0",
"cooling_fan_noise1... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgIDAQAAAAAAAAAAAAAAAAECBgQFBwP/xABGEAABAwIEAwUFBQYDBgcB... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many wooden_cutting_board and bread can be seen in this task?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wooden located at [182, 45, 204, 65]\\n\\nNow examining the auxi... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [
"knife_noise0",
"pizza_noise1"
],
"objects": [
"wooden_cutting_board_0",
"wooden_cutting_board_1",
"bread_0",
"knife_noise... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAwEBAQEBAAAAAAAAAAAAAAECAwUEBgf/xABEEAABAwMDAQUEBwUFBwUA... | 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 green_peas are needed for this operation?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n- I can see a wine located a... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [
"plate_noise0",
"pizza_noise1"
],
"objects": [
"wine_0",
"green_peas_0",
"plate_noise0",
"pizza_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 'What is the exact number of wooden_cutting_board and pear?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wooden located at [249, 95, 269, 106]\\n- There's a pear positioned at ... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [],
"objects": [
"wooden_cutting_board_0",
"wooden_cutting_board_1",
"pear_0",
"pear_1"
],
"original_answer": null,
"original_qu... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Please estimate the total number of apple.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a apple located at [205, 109, 213, 117]\\n\\nNow examining the auxiliary perspective (Ima... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [
"plate_noise0",
"wine_noise1",
"pumpkin_noise2"
],
"objects": [
"apple_0",
"plate_noise0",
"wine_noise1",
"pumpkin_noi... |
[
{
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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 hammer?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a hammer located at [30, 28, 34, 31]\\n\\nNow examining the auxiliary perspective (Image B):... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"bread_noise0",
"bowl_noise1"
],
"objects": [
"hammer_0",
"hammer_1",
"bread_noise0",
"bowl_noise1"
],
"original_answe... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many cup and hammer do you need to move?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a cup located at [0, 137, 10, 151]\\n\\nNow examining the auxiliary perspective (Image ... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"pear_noise0",
"bowl_noise1",
"scissors_noise2"
],
"objects": [
"cup_0",
"pear_noise0",
"bowl_noise1",
"scissors_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 'Can you calculate how many banana and bread are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first banana at [364, 97, 380, 106]\\n- I also see a second banana at [... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [],
"objects": [
"banana_0",
"banana_1",
"banana_2",
"bread_0",
"bread_1",
"bread_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 plate are there in this space?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n- I can see a plate located at [217, 145, 254, 1... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"wooden_cutting_board_noise0",
"shoe_noise1",
"pumpkin_noise2"
],
"objects": [
"plate_0",
"wooden_cutting_board_noise0",
"... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many wine can be seen in this task?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first wine at [69, 14, 73, 18]\\n- I also see a second wine at [29, 24, 33, 34]\\n\\nNow... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [
"rock_noise0",
"meat_noise1"
],
"objects": [
"wine_0",
"wine_1",
"rock_noise0",
"meat_noise1"
],
"original_answer": nu... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAECAwQFBgcI/8QAQBAAAQMCBAIIAwcDBAIB... | 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 plate.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a plate located at [46, 20, 50, 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": 9,
"noise_objects": [
"bowl_noise0",
"cooling_fan_noise1"
],
"objects": [
"plate_0",
"plate_1",
"bowl_noise0",
"cooling_fan_noise1"
],
"orig... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAECAwQFBgf/xABAEAABAwIEAwUGBAUDAgcA... | 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 kettle.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a meat located at [193, 108, 201, 113]\\n- There's a kettle positioned at coordinates... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [
"hammer_noise0",
"knife_noise1"
],
"objects": [
"meat_0",
"meat_1",
"kettle_0",
"hammer_noise0",
"knife_noise1"
],
... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAIBAwYFBAf/xABJEAABAwIDBAUIBgcGBgMA... | 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 pot.'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n\\nAnalyzing spatial correspondence between the two p... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"plate_noise0",
"hammer_noise1",
"shoe_noise2"
],
"objects": [
"pot_0",
"plate_noise0",
"hammer_noise1",
"shoe_noise2"... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAECAwQFBgf/xABCEAABAwIEAwUGAwYFAwUB... | 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 meat are available?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first meat at [38, 14, 39, 15]\\n- I also see a second meat at [42, 3, 44, 4]\\n\\nNow... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"cardboardbox_noise0",
"pot_noise1"
],
"objects": [
"meat_0",
"meat_1",
"meat_2",
"cardboardbox_noise0",
"pot_noise1"
... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABCEAABAwIEAwUFBgUDAgcB... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'Please estimate the total number of cup and shoe.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first cup at [29, 22, 33, 26]\\n- I also see a second cup at [34, 2, 37, 5]\\n... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [],
"objects": [
"cup_0",
"cup_1",
"cup_2",
"shoe_0",
"shoe_1"
],
"original_answer": null,
"original_question": null,
"que... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABJEAACAQIEAwUEBwcBBgMJ... | 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 peach.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first peach at [37, 14, 38, 15]\\n- I also see a second peach at [24, 41, 29, 43]\\n- There... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"bowl_noise0",
"green_peas_noise1"
],
"objects": [
"peach_0",
"peach_1",
"peach_2",
"bowl_noise0",
"green_peas_noise1"... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAAcBAQAAAAAAAAAAAAAAAAECAwQFBgcI/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 'How many wooden_cutting_board are there in this space?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wooden located at [40, 16, 44, 18]\\n\\nNow examining the auxiliary perspec... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [
"spoon_noise0",
"scissors_noise1"
],
"objects": [
"wooden_cutting_board_0",
"wooden_cutting_board_1",
"spoon_noise0",
"sci... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAECAwQFBgcI/8QARBAAAQMCBAMGAwYEBAUD... | 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 wine and pear exist?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first wine at [54, 11, 56, 15]\\n- I also see a second wine at [28, 17, 31, 25]\... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [],
"objects": [
"wine_0",
"wine_1",
"pear_0",
"pear_1"
],
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"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 'Could you tell me how many banana and hammer exist?'.\\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 [26,... | {
"category": null,
"dataset_name": "ObjectCount_2",
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"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [
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"green_peas_noise1"
],
"objects": [
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"hammer_0",
"clothes_iron_noise0",
"green_peas_nois... |
[
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many wooden_cutting_board and clothes_iron are there?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n- I can see a wooden located a... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 1,
"noise_objects": [
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"kettle_noise1",
"fork_noise2"
],
"objects": [
"wooden_cutting_board_0",
"peach_noise0",
"kettle_noise1",
... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many pizza are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first pizza at [37, 14, 39, 16]\\n- I also see a second pizza at [31, 31, 38, 40]\\n- There's also a... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"rock_noise0",
"wooden_cutting_board_noise1"
],
"objects": [
"pizza_0",
"pizza_1",
"pizza_2",
"rock_noise0",
"wooden_c... |
[
{
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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 kettle are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a kettle located at [242, 85, 256, 99]\\n\\nNow examining the auxiliary perspective (... | {
"category": null,
"dataset_name": "ObjectCount_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [
"spoon_noise0",
"spoon_noise1"
],
"objects": [
"kettle_0",
"kettle_1",
"spoon_noise0",
"spoon_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 'How many wine and pear are there in this space?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first wine at [133, 53, 145, 78]\\n- I also see a second wine at [179, 0, 187, 2... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [],
"objects": [
"wine_0",
"wine_1",
"wine_2",
"pear_0",
"pear_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 estimate the total number of cup.'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a cup located at [57, 17, 61, 19]\\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": 7,
"noise_objects": [
"bowl_noise0",
"wine_noise1"
],
"objects": [
"cup_0",
"cup_1",
"bowl_noise0",
"wine_noise1"
],
"original_answer": 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 'What is the number of apple to be counted?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first apple at [227, 93, 234, 99]\\n- I also see a second apple at [263, 45, 273, 54]... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [
"bread_noise0",
"pot_noise1"
],
"objects": [
"apple_0",
"apple_1",
"apple_2",
"bread_noise0",
"pot_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 'Can you assess how many banana and clothes_iron are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first banana at [17, 16, 19, 18]\\n- I also see a second banana at ... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [
"kettle_noise0",
"pizza_noise1"
],
"objects": [
"banana_0",
"banana_1",
"clothes_iron_0",
"kettle_noise0",
"pizza_nois... |
[
{
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{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many meat and clothes_iron are available for use?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first meat at [149, 143, 162, 151]\\n- I also see a second meat at [153, 9... | {
"category": null,
"dataset_name": "ObjectCount_4",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [],
"objects": [
"meat_0",
"meat_1",
"meat_2",
"clothes_iron_0",
"clothes_iron_1"
],
"original_answer": null,
"original_ques... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGgAAAgMBAQAAAAAAAAAAAAAAAAIBAwQFBv/EAEQQAAIBAgQDBQQIBQMCBQUA... | 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 bowl are there?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first meat at [142, 136, 164, 149]\\n- I also see a second meat at [177, 22, 189, 28]\\n- I no... | {
"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",
"bowl_0",
"bowl_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 'Can you identify all the pumpkin and pear?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first pumpkin at [319, 113, 357, 135]\\n- I also see a second pumpkin at [195, 84, 21... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [],
"objects": [
"pumpkin_0",
"pumpkin_1",
"pear_0",
"pear_1"
],
"original_answer": null,
"original_question": null,
"question... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABLEAABAwIDBQQGBgcECQUB... | 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 tomato are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a tomato located at [247, 83, 257, 91]\\n\\nNow examining the auxiliary perspective (Ima... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 7,
"noise_objects": [
"pot_noise0",
"scissors_noise1"
],
"objects": [
"tomato_0",
"tomato_1",
"pot_noise0",
"scissors_noise1"
],
"original_a... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAECAwQFBgcI/8QATRAAAQMCAwUEBggDBAgE... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'What is the quantity of banana and bread in this area?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n- I can see a banana located at [... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"hammer_noise0",
"cooling_fan_noise1"
],
"objects": [
"banana_0",
"bread_0",
"hammer_noise0",
"cooling_fan_noise1"
],
... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAECAwQFBgcI/8QARxAAAQMCBAQEAwYDBgMG... | 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 cup and apple?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first cup at [64, 22, 69, 25]\\n- I also see a second cup at [32, 20, 35, 23]\\n- There's also ... | {
"category": null,
"dataset_name": "ObjectCount_1",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 5,
"noise_objects": [],
"objects": [
"cup_0",
"cup_1",
"cup_2",
"apple_0",
"apple_1"
],
"original_answer": null,
"original_question": null,
"q... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAEDBAUGAgf/xABHEAABAwIDBQQIAwYDBwQD... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many wooden_cutting_board and pear are there?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a wooden located at [138, 77, 154, 87]\\n\\nNow examining the auxiliary perspectiv... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 6,
"noise_objects": [],
"objects": [
"wooden_cutting_board_0",
"wooden_cutting_board_1",
"pear_0",
"pear_1"
],
"original_answer": null,
"original_qu... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABEEAABAwIEAwYDBgQEBAYD... | 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 pumpkin and shoe?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a pumpkin located at [182, 71, 198, 83]\\n\\nNow examining the auxiliary perspective (... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [
"bread_noise0",
"bread_noise1",
"wine_noise2"
],
"objects": [
"pumpkin_0",
"bread_noise0",
"bread_noise1",
"wine_noise... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABGEAABAwIEAwUEBwUGBgID... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many instances of meat are in the area?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a meat located at [233, 113, 244, 121]\\n\\nNow examining the auxiliary perspective (Ima... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [
"green_peas_noise0",
"hammer_noise1",
"fork_noise2"
],
"objects": [
"meat_0",
"green_peas_noise0",
"hammer_noise1",
"f... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABHEAACAQIDBAYIAwcDAgQH... | 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 can you find?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a fork located at [8, 139, 30, 142]\\n\\nNow examining the auxiliary perspective (Image B):\\n- I can se... | {
"category": null,
"dataset_name": "ObjectCount_3",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"scissors_noise0",
"green_peas_noise1",
"peach_noise2"
],
"objects": [
"fork_0",
"scissors_noise0",
"green_peas_noise1",
... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAAAAECAwQFBgf/xABOEAACAAQEAgYFCAUJBwQD... | corl_l1_sim_val | [
{
"content": "You are analyzing two images from different robot perspectives viewing the same environment. These images represent two distinct robot viewpoints that may show overlapping or complementary parts of the scene. IMPORTANT FORMAT REQUIREMENTS:\n1. ALL reasoning must be enclosed within <think> </think>... | spatial_reasoning_object_counting | {
"ground_truth": "<think>\\nI need to analyze images from two robot perspectives to answer the question about 'How many wooden_cutting_board are there?'.\\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_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 0,
"noise_objects": [
"cup_noise0",
"bread_noise1",
"pot_noise2"
],
"objects": [
"cup_noise0",
"bread_noise1",
"pot_noise2"
],
"original_ans... |
[
{
"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 exact number of meat?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a meat located at [200, 75, 205, 79]\\n\\nNow examining the auxiliary perspective (Image B):\\n\\n... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 3,
"noise_objects": [
"apple_noise0",
"scissors_noise1",
"bowl_noise2"
],
"objects": [
"meat_0",
"apple_noise0",
"scissors_noise1",
"bowl_no... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAECAwQFBgf/xAA+EAABAwIDBgMFBQgCAgMA... | 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 peach are visible in this location?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see a peach located at [164, 122, 174, 133]\\n\\nNow examining the auxiliary perspective (I... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 9,
"noise_objects": [
"kettle_noise0",
"green_peas_noise1"
],
"objects": [
"peach_0",
"peach_1",
"kettle_noise0",
"green_peas_noise1"
],
"or... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAQBAgMFBgf/xABBEAABAwIDBAcFBwQBBAID... | 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 apple are available?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n\\nAnalyzing spatial correspondence between t... | {
"category": null,
"dataset_name": "ObjectCount_0",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 8,
"noise_objects": [
"apple_noise0",
"wooden_cutting_board_noise1",
"green_peas_noise2"
],
"objects": [
"apple_noise0",
"wooden_cutting_board_noise... |
[
{
"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 'How many pizza are present?'.\\n\\nLet me first examine the main perspective (Image A):\\n- I can see the first pizza at [185, 95, 205, 101]\\n- I also see a second pizza at [170, 18, 193, 31]\\n\\nNow exam... | {
"category": null,
"dataset_name": "ObjectCount_2",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 4,
"noise_objects": [],
"objects": [
"pizza_0",
"pizza_1",
"pizza_2",
"pizza_3"
],
"original_answer": null,
"original_question": null,
"question_i... |
[
{
"bytes": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCADYAYADASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAECAwQFBgf/xABBEAACAQMCAwYEBAMGBgEF... | 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 pot are visible in this location?'.\\n\\nLet me first examine the main perspective (Image A):\\n\\nNow examining the auxiliary perspective (Image B):\\n\\nAnalyzing spatial correspondence between t... | {
"category": null,
"dataset_name": "ObjectCount_5",
"grasping_instruction": null,
"image_name": null,
"init_pos": null,
"layout_id": 2,
"noise_objects": [
"knife_noise0",
"rock_noise1",
"bowl_noise2"
],
"objects": [
"knife_noise0",
"rock_noise1",
"bowl_noise2"
],
"original... |
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