mradermacher/AdaReasoner-7B-GGUF
8B
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Updated
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415
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1
data_source
stringclasses 5
values | prompt
listlengths 2
2
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listlengths 1
4
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stringclasses 4
values | env_name
stringclasses 4
values | reward_model
dict | extra_info
dict | randomized_to_original
stringlengths 614
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jigsaw_coco
|
[
{
"content": "\nYou are a visual assistant capable of solving visual reasoning problems. You can rely on your own capabilities or use external tools to assist in solving. \n\nAvailable Tools \nIn your response, you can use the following tools: \n{\"type\": \"function\", \"function\": {\"name\": \"eyg3zd\", \"description\": \"Perform pathfinding between two pixel coordinates while bypassing blocked areas\", \"parameters\": {\"type\": \"object\", \"properties\": {\"lmxdrh\": {\"type\": \"array\", \"description\": \"Initial pixel location where the search begins\"}, \"ctr7vp\": {\"type\": \"array\", \"description\": \"Final [x,y] coordinate the algorithm must reach\"}, \"itnw9a\": {\"type\": \"array\", \"description\": \"Array of obstacle coordinates [[x1, y1], [x2, y2], ...] in pixels\"}, \"y45ka1\": {\"type\": \"integer\", \"description\": \"Size of each grid cell in pixels (default is 64)\"}}, \"required\": [\"lmxdrh\", \"ctr7vp\", \"itnw9a\"]}, \"returns\": {\"type\": \"object\", \"properties\": {\"status\": {\"type\": \"string\", \"description\": \"Status of the pathfinding operation ('success' or 'failed')\"}, \"path\": {\"type\": \"string\", \"description\": \"Control sequence as comma-separated uppercase directions (L,R,U,D), e.g., 'R,R,U,L,D,D'\"}, \"error_code\": {\"type\": \"integer\", \"description\": \"Error code (0 for success)\"}}}}}\n{\"type\": \"function\", \"function\": {\"name\": \"xk0r8g\", \"description\": \"Paint a visual representation of step-by-step path traversal on an image\", \"parameters\": {\"type\": \"object\", \"properties\": {\"fpctiy\": {\"type\": \"string\", \"description\": \"Visual surface where movement lines will appear\"}, \"4hjswf\": {\"type\": \"array\", \"description\": \"Initial [x,y] from which the path expands\"}, \"hgws4x\": {\"type\": \"string\", \"description\": \"A string of moves like 'uuddlr' or 'U,U,D,D,L,R'\"}, \"dpocne\": {\"type\": \"integer\", \"description\": \"How many pixels to move for each step in the directions string\"}, \"898dgp\": {\"type\": \"boolean\", \"description\": \"Flag determining whether coordinates are pixel-based or grid-based\"}, \"obkqw0\": {\"type\": \"integer\", \"description\": \"Pixel thickness of the rendered stroke\"}, \"zkve63\": {\"type\": \"string\", \"description\": \"Visual color representing the trajectory\"}}, \"required\": [\"fpctiy\", \"4hjswf\", \"hgws4x\"]}}}\n{\"type\": \"function\", \"function\": {\"name\": \"utnznw\", \"description\": \"Locate and measure black zones in the provided image\", \"parameters\": {\"type\": \"object\", \"properties\": {\"fpctiy\": {\"type\": \"string\", \"description\": \"Picture to scan for low-brightness regions\"}, \"lwgtmd\": {\"type\": \"integer\", \"description\": \"Grayscale threshold defining dark region segmentation\"}, \"qn0x0p\": {\"type\": \"integer\", \"description\": \"Lower bound of area size to consider in detection\"}, \"ttctsj\": {\"type\": \"number\", \"description\": \"Threshold for rectangle similarity (0.0-1.0). Higher value means stricter rectangle detection (default: 0.85)\"}}, \"required\": [\"fpctiy\"]}}}\n{\"type\": \"function\", \"function\": {\"name\": \"hynfh4\", \"description\": \"Embed one image into another at defined coordinates\", \"parameters\": {\"type\": \"object\", \"properties\": {\"ole75h\": {\"type\": \"string\", \"description\": \"Underlying image acting as host for insertion\"}, \"4d58ph\": {\"type\": \"string\", \"description\": \"The ID of the foreground image to be placed\"}, \"caitjd\": {\"type\": \"string\", \"description\": \"Placement coordinates specifying where to embed the image\"}, \"0hz4hm\": {\"type\": \"boolean\", \"description\": \"Option to automatically adjust image size for bounding box\"}}, \"required\": [\"ole75h\", \"4d58ph\", \"caitjd\"]}}}\n{\"type\": \"function\", \"function\": {\"name\": \"x41agu\", \"description\": \"Detect text content and positions within image\", \"parameters\": {\"type\": \"object\", \"properties\": {\"fpctiy\": {\"type\": \"string\", \"description\": \"Source image containing text to extract\"}}, \"required\": [\"fpctiy\"]}}}\n{\"type\": \"function\", \"function\": {\"name\": \"u7f2ut\", \"description\": \"Trim the image to the area defined by given coordinates\", \"parameters\": {\"type\": \"object\", \"properties\": {\"fpctiy\": {\"type\": \"string\", \"description\": \"Original image providing the crop target area\"}, \"caitjd\": {\"type\": \"string\", \"description\": \"Coordinates delimiting the cropping boundaries\"}}, \"required\": [\"fpctiy\", \"caitjd\"]}}}\n{\"type\": \"function\", \"function\": {\"name\": \"87ym8i\", \"description\": \"Pinpoint a visually described spot within the image frame\", \"parameters\": {\"type\": \"object\", \"properties\": {\"fpctiy\": {\"type\": \"string\", \"description\": \"The canvas image used for identifying the described area\"}, \"m0d3o7\": {\"type\": \"string\", \"description\": \"A natural language description of the point of interest\"}}, \"required\": [\"fpctiy\", \"m0d3o7\"]}}}\n\nSteps for Each Turn\n1. **Think:** First, silently analyze the user's request to understand the goal. This thinking process should be enclosed in <think> and </think> tags.\n2. **Decide Action:** Based on your thinking, decide on one of the following two actions:\n - **If you need to use a tool:** Generate your tool call, enclosed between <tool_call> and </tool_call> tags. **Do not** generate a `<response>` in this turn.\n - **If you have enough information to answer:** Generate your final, user-facing answer, enclosed between <response> and </response> tags. **Do not** generate a `<tool_call>` in this turn.\n\nOutput Format:\nYour output must always begin with your thought process. After the `<think>` block, you must provide **either** a `<tool_call>` or a `<response>`, but **never both** in the same turn.\n**Case 1: Tool Use is Required**\n<think> Your thoughts and reasoning </think> \n<tool_call> \n{\"name\": \"Tool name\", \"parameters\": {\"Parameter name\": \"Parameter content\", \"...\": \"...\"}}\n</tool_call> \n**Case 2: Ready to Respond to the User**\n<think> Your thoughts and reasoning </think> \n<response> Your final response </response>\n\nImportant Notes \n1. You must always include the <think> field to outline your reasoning. Provide one of <tool_call> or <response>. You must not include both <tool_call> and <response> in the same turn because they are mutually exclusive. If tool usage is required, you must instead include both <think> and <tool_call>, and omit <response> for that turn. If no further tool usage is required and ready to answer the user's question, you can then use <think> to summarize your reasoning and include <response> with your final answer, and this indicates the ends of the conversation.\n\n2. You can only invoke a single tool call at a time in the <tool_call> fields. The tool call should be a JSON object with a \"name\" field and a \"parameters\" field containing a dictionary of parameters. If no parameters are needed, leave the \"parameters\" field an empty dictionary. All images have their coordinate origin at the top-left corner.\n\n3. Some tools require image input. You do not need to generate or upload the actual image data simply refer to an image using a placeholder in the form of \"img_n\". There may be multiple images present in the dialogue. Besides the original image, additional images may appear as a result of prior tool calls (e.g., edited images returned by visual editing tools). You are free to select which image to use as input for the next tool.\nThe index \"n\" in \"img_n\" refers to the image's position in the dialogue history:\n- The original image is always referred to as \"img_1\".\n- Each subsequent image, including those returned from tools, is assigned \"img_2\", \"img_3\", and so on, in the order they appear in the dialogue.\nFor example:{{\"parameters\": {{\"image\": \"img_1\", \"other_params\": \"other_values\"}}}}\n\n4. All image coordinates used must be in absolute pixel values, not relative or normalized coordinates. \n\n5. At the end, provide your final answer by placing it inside \\boxed{}, and wrap the entire final output inside <response></response> tags.\n",
"role": "system"
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{
"content": "Given the first image (img_1) with one part missing, can you tell which one of the second (img_2), third (img_3) or the fourth (img_4) images is the missing part? Imagine which image would be more appropriate to place in the missing spot. You can also carefully observe and compare the edges of the images.\n\nSelect from the following choices.\n\n(A) The second image (img_2)\n(B) The third image (img_3)\n(C) The fourth image (img_4)\nYour final answer should be formatted as \\boxed{Your Choice}, for example, \\boxed{A} or \\boxed{B} or \\boxed{C}.\n<image>\n<image>\n<image>\n<image>",
"role": "user"
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] |
visual_reasoning
|
jigsaw
|
{
"ground_truth": "b",
"style": "model"
}
|
{
"answer": "B",
"index": "COCO_rl_3672_000000108826",
"question": "",
"split": "rl"
}
|
{"eyg3zd": "AStarWithPixelCoordinate", "u7f2ut": "Crop", "utnznw": "DetectBlackArea", "xk0r8g": "Draw2DPath", "hynfh4": "InsertImage", "x41agu": "OCR", "87ym8i": "Point", "ole75h": "base_image", "y45ka1": "cell_size", "caitjd": "coordinates", "m0d3o7": "description", "hgws4x": "directions", "ctr7vp": "goal", "fpctiy": "image", "4d58ph": "image_to_insert", "zkve63": "line_color", "obkqw0": "line_width", "qn0x0p": "min_area", "itnw9a": "obstacles", "898dgp": "pixel_coordinate", "ttctsj": "rect_similarity", "0hz4hm": "resize", "lmxdrh": "start", "4hjswf": "start_point", "dpocne": "step", "lwgtmd": "threshold"}
|
jigsaw_coco
|
[
{
"content": "\nYou are a visual assistant capable of solving visual reasoning problems. You can rely on your own capabilities or use external tools to assist in solving. \n\nAvailable Tools \nIn your response, you can use the following tools: \n{\"type\": \"function\", \"function\": {\"name\": \"8csoor\", \"description\": \"Navigate from point A to B avoiding obstacles with A* pathfinding algorithm\", \"parameters\": {\"type\": \"object\", \"properties\": {\"i8igra\": {\"type\": \"array\", \"description\": \"The origin [x, y] coordinates for the pathfinder\"}, \"skuenh\": {\"type\": \"array\", \"description\": \"Terminal location in pixel coordinate system\"}, \"2ko5uz\": {\"type\": \"array\", \"description\": \"List of forbidden points representing barriers\"}, \"yvbdmc\": {\"type\": \"integer\", \"description\": \"Size of each grid cell in pixels (default is 64)\"}}, \"required\": [\"i8igra\", \"skuenh\", \"2ko5uz\"]}, \"returns\": {\"type\": \"object\", \"properties\": {\"status\": {\"type\": \"string\", \"description\": \"Status of the pathfinding operation ('success' or 'failed')\"}, \"path\": {\"type\": \"string\", \"description\": \"Control sequence as comma-separated uppercase directions (L,R,U,D), e.g., 'R,R,U,L,D,D'\"}, \"error_code\": {\"type\": \"integer\", \"description\": \"Error code (0 for success)\"}}}}}\n{\"type\": \"function\", \"function\": {\"name\": \"vwowll\", \"description\": \"Draw a path on an image following a sequence of directional commands\", \"parameters\": {\"type\": \"object\", \"properties\": {\"ajex8y\": {\"type\": \"string\", \"description\": \"The background image to overlay the path onto\"}, \"l5fis4\": {\"type\": \"array\", \"description\": \"Base position for the first movement step\"}, \"nq3sif\": {\"type\": \"string\", \"description\": \"Sequence of direction codes guiding the drawing\"}, \"ej208g\": {\"type\": \"integer\", \"description\": \"Stride length in pixels per navigation step\"}, \"oca8ih\": {\"type\": \"boolean\", \"description\": \"Determines whether position is defined in pixel space or logical grid\"}, \"b8exm3\": {\"type\": \"integer\", \"description\": \"Line size for trajectory visualization\"}, \"p71iz5\": {\"type\": \"string\", \"description\": \"Stroke color value for rendering\"}}, \"required\": [\"ajex8y\", \"l5fis4\", \"nq3sif\"]}}}\n{\"type\": \"function\", \"function\": {\"name\": \"frwd4o\", \"description\": \"Search the image for black pixel clusters exceeding minimum area size\", \"parameters\": {\"type\": \"object\", \"properties\": {\"ajex8y\": {\"type\": \"string\", \"description\": \"The image to analyze (image identifier)\"}, \"vj0n2h\": {\"type\": \"integer\", \"description\": \"Parameter controlling how dark a pixel must be to count as black\"}, \"4oyrva\": {\"type\": \"integer\", \"description\": \"Minimum number of pixels for a valid detected area\"}, \"i10x6m\": {\"type\": \"number\", \"description\": \"Threshold for rectangle similarity (0.0-1.0). Higher value means stricter rectangle detection (default: 0.85)\"}}, \"required\": [\"ajex8y\"]}}}\n{\"type\": \"function\", \"function\": {\"name\": \"ucpg5j\", \"description\": \"Place an image inside another at a specific location\", \"parameters\": {\"type\": \"object\", \"properties\": {\"1w9u5j\": {\"type\": \"string\", \"description\": \"The ID of the background image\"}, \"padduf\": {\"type\": \"string\", \"description\": \"Overlay image being added into the base\"}, \"jhlldx\": {\"type\": \"string\", \"description\": \"The target rectangle [xmin, ymin, xmax, ymax] for the insertion\"}, \"tnqr8y\": {\"type\": \"boolean\", \"description\": \"Flag controlling whether to stretch or fit the content\"}}, \"required\": [\"1w9u5j\", \"padduf\", \"jhlldx\"]}}}\n{\"type\": \"function\", \"function\": {\"name\": \"zcu5fz\", \"description\": \"Detect text content and positions within image\", \"parameters\": {\"type\": \"object\", \"properties\": {\"ajex8y\": {\"type\": \"string\", \"description\": \"The ID of the image from which to read text\"}}, \"required\": [\"ajex8y\"]}}}\n{\"type\": \"function\", \"function\": {\"name\": \"g9exkp\", \"description\": \"Cut out a portion of image based on boundary values\", \"parameters\": {\"type\": \"object\", \"properties\": {\"ajex8y\": {\"type\": \"string\", \"description\": \"Original image providing the crop target area\"}, \"jhlldx\": {\"type\": \"string\", \"description\": \"Bounding box coordinates '[x_min, y_min, x_max, y_max]' for cropping\"}}, \"required\": [\"ajex8y\", \"jhlldx\"]}}}\n{\"type\": \"function\", \"function\": {\"name\": \"yalaso\", \"description\": \"Find coordinates of described feature in the image\", \"parameters\": {\"type\": \"object\", \"properties\": {\"ajex8y\": {\"type\": \"string\", \"description\": \"The visual source used for point extraction\"}, \"3aqxjs\": {\"type\": \"string\", \"description\": \"Textual hint about the location to identify\"}}, \"required\": [\"ajex8y\", \"3aqxjs\"]}}}\n\nSteps for Each Turn\n1. **Think:** First, silently analyze the user's request to understand the goal. This thinking process should be enclosed in <think> and </think> tags.\n2. **Decide Action:** Based on your thinking, decide on one of the following two actions:\n - **If you need to use a tool:** Generate your tool call, enclosed between <tool_call> and </tool_call> tags. **Do not** generate a `<response>` in this turn.\n - **If you have enough information to answer:** Generate your final, user-facing answer, enclosed between <response> and </response> tags. **Do not** generate a `<tool_call>` in this turn.\n\nOutput Format:\nYour output must always begin with your thought process. After the `<think>` block, you must provide **either** a `<tool_call>` or a `<response>`, but **never both** in the same turn.\n**Case 1: Tool Use is Required**\n<think> Your thoughts and reasoning </think> \n<tool_call> \n{\"name\": \"Tool name\", \"parameters\": {\"Parameter name\": \"Parameter content\", \"...\": \"...\"}}\n</tool_call> \n**Case 2: Ready to Respond to the User**\n<think> Your thoughts and reasoning </think> \n<response> Your final response </response>\n\nImportant Notes \n1. You must always include the <think> field to outline your reasoning. Provide one of <tool_call> or <response>. You must not include both <tool_call> and <response> in the same turn because they are mutually exclusive. If tool usage is required, you must instead include both <think> and <tool_call>, and omit <response> for that turn. If no further tool usage is required and ready to answer the user's question, you can then use <think> to summarize your reasoning and include <response> with your final answer, and this indicates the ends of the conversation.\n\n2. You can only invoke a single tool call at a time in the <tool_call> fields. The tool call should be a JSON object with a \"name\" field and a \"parameters\" field containing a dictionary of parameters. If no parameters are needed, leave the \"parameters\" field an empty dictionary. All images have their coordinate origin at the top-left corner.\n\n3. Some tools require image input. You do not need to generate or upload the actual image data simply refer to an image using a placeholder in the form of \"img_n\". There may be multiple images present in the dialogue. Besides the original image, additional images may appear as a result of prior tool calls (e.g., edited images returned by visual editing tools). You are free to select which image to use as input for the next tool.\nThe index \"n\" in \"img_n\" refers to the image's position in the dialogue history:\n- The original image is always referred to as \"img_1\".\n- Each subsequent image, including those returned from tools, is assigned \"img_2\", \"img_3\", and so on, in the order they appear in the dialogue.\nFor example:{{\"parameters\": {{\"image\": \"img_1\", \"other_params\": \"other_values\"}}}}\n\n4. All image coordinates used must be in absolute pixel values, not relative or normalized coordinates. \n\n5. At the end, provide your final answer by placing it inside \\boxed{}, and wrap the entire final output inside <response></response> tags.\n",
"role": "system"
},
{
"content": "Given the first image (img_1) with one part missing, can you tell which one of the second (img_2), third (img_3) or the fourth (img_4) images is the missing part? Imagine which image would be more appropriate to place in the missing spot. You can also carefully observe and compare the edges of the images.\n\nSelect from the following choices.\n\n(A) The second image (img_2)\n(B) The third image (img_3)\n(C) The fourth image (img_4)\nYour final answer should be formatted as \\boxed{Your Choice}, for example, \\boxed{A} or \\boxed{B} or \\boxed{C}.\n<image>\n<image>\n<image>\n<image>",
"role": "user"
}
] |
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visual_reasoning
|
jigsaw
|
{
"ground_truth": "c",
"style": "model"
}
|
{
"answer": "C",
"index": "COCO_rl_4950_000000059367",
"question": "",
"split": "rl"
}
|
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|
visual_cot
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| [{"bytes":"/9j/4AAQSkZJRgABAQEA8ADwAAD/4gxYSUNDX1BST0ZJTEUAAQEAAAxITGlubwIQAABtbnRyUkdCIFhZWiAHzgACA(...TRUNCATED)
|
visual_search
|
visual_search
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{
"ground_truth": "monitor",
"style": "model"
}
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| "{\"scqw6v\": \"AStarWithPixelCoordinate\", \"pkwxna\": \"Crop\", \"ub58m9\": \"DetectBlackArea\", \(...TRUNCATED)
|
jigsaw_coco
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|
visual_reasoning
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jigsaw
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{
"ground_truth": "a",
"style": "model"
}
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{
"answer": "A",
"index": "COCO_rl_3026_000000198631",
"question": "",
"split": "rl"
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|
path_nav
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forzenlake
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forzenlake
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| "{\"43puge\": \"AStarWithPixelCoordinate\", \"iliybi\": \"Crop\", \"sclood\": \"DetectBlackArea\", \(...TRUNCATED)
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web_guichat
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|
web_guichat
|
web_guichat
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| {"answer":"The article titled \"Quel est le début et fin du moyen âge?\" can be found under the \"(...TRUNCATED)
| "{\"u8ww6v\": \"AStarWithPixelCoordinate\", \"6l5fwf\": \"Crop\", \"xpclwz\": \"DetectBlackArea\", \(...TRUNCATED)
|
visual_cot
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| [{"bytes":"/9j/4AAQSkZJRgABAQEASABIAAD/4gxYSUNDX1BST0ZJTEUAAQEAAAxITGlubwIQAABtbnRyUkdCIFhZWiAHzgACA(...TRUNCATED)
|
visual_search
|
visual_search
|
{
"ground_truth": "grapes",
"style": "model"
}
| {"answer":"grapes","index":"04265","question":"What fruits are to the right of the plates that are o(...TRUNCATED)
| "{\"sebweo\": \"AStarWithPixelCoordinate\", \"3n93zp\": \"Crop\", \"5mp1j8\": \"DetectBlackArea\", \(...TRUNCATED)
|
path_nav
| [{"content":"\nYou are a visual assistant capable of solving visual reasoning problems. You can rely(...TRUNCATED)
| [{"bytes":"iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAIAAAB7GkOtAABCBElEQVR4nO29b6xl13mf9xvh8Gp0qdEMqUuLNwhI0(...TRUNCATED)
|
forzenlake
|
forzenlake
| {"ground_truth":"[['F', 'F', 'F', 'H', 'H', 'F', 'F', 'F'], ['F', 'F', 'F', 'F', 'F', 'F', 'F', 'F'](...TRUNCATED)
| {"answer":"[['F', 'F', 'F', 'H', 'H', 'F', 'F', 'F'], ['F', 'F', 'F', 'F', 'F', 'F', 'F', 'F'], ['F'(...TRUNCATED)
| "{\"l0ljdo\": \"AStarWithPixelCoordinate\", \"wodxa7\": \"Crop\", \"hv8qrz\": \"DetectBlackArea\", \(...TRUNCATED)
|
path_nav
| [{"content":"\nYou are a visual assistant capable of solving visual reasoning problems. You can rely(...TRUNCATED)
| [{"bytes":"iVBORw0KGgoAAAANSUhEUgAAAYAAAAGACAIAAAArpSLoAAAruUlEQVR4nO2df4xdx3XfvzQe1/RKNH+IssSiIE1XS(...TRUNCATED)
|
forzenlake
|
forzenlake
| {"ground_truth":"[['F', 'F', 'F', 'F', 'F', 'F'], ['G', 'F', 'F', 'F', 'H', 'H'], ['F', 'F', 'F', 'F(...TRUNCATED)
| {"answer":"[['F', 'F', 'F', 'F', 'F', 'F'], ['G', 'F', 'F', 'F', 'H', 'H'], ['F', 'F', 'F', 'F', 'F'(...TRUNCATED)
| "{\"hkj3qj\": \"AStarWithPixelCoordinate\", \"t0e1gz\": \"Crop\", \"zb30bb\": \"DetectBlackArea\", \(...TRUNCATED)
|
path_nav
| [{"content":"\nYou are a visual assistant capable of solving visual reasoning problems. You can rely(...TRUNCATED)
| [{"bytes":"iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAIAAADTED8xAAAiUklEQVR4nO2df4xd1XHHv0bPD7Nm8Y/YAVeVwamVU(...TRUNCATED)
|
forzenlake
|
forzenlake
| {"ground_truth":"[['F', 'H', 'F', 'F'], ['H', 'F', 'F', 'F'], ['F', 'G', 'F', 'H'], ['S', 'H', 'F', (...TRUNCATED)
| {"answer":"[['F', 'H', 'F', 'F'], ['H', 'F', 'F', 'F'], ['F', 'G', 'F', 'H'], ['S', 'H', 'F', 'F']]"(...TRUNCATED)
| "{\"9msakh\": \"AStarWithPixelCoordinate\", \"r1njfm\": \"Crop\", \"6vyz04\": \"DetectBlackArea\", \(...TRUNCATED)
|
End of preview. Expand
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Size of downloaded dataset files:
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Number of rows:
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