yrlyrl/lvr-latentum-pet-p24-checkpoints
Updated
image_list listlengths 2 2 | instruction_list listlengths 1 1 | output_text_list listlengths 2 2 | num_input_images int64 1 1 |
|---|---|---|---|
["iVBORw0KGgoAAAANSUhEUgAABAAAAAQACAIAAADwf7zUAAEAAElEQVR4nOz9abM1W3Iehj2Zuar2PtM73KmH290YG90gZhCAgA(...TRUNCATED) | ["\nLet's think step by step to answer the question. For text-based thinking, enclose the process wi(...TRUNCATED) | ["<think>Let me imagine what the view looks like from the target position.</think><image_start>","<i(...TRUNCATED) | 1 |
["iVBORw0KGgoAAAANSUhEUgAABAAAAAQACAIAAADwf7zUAAEAAElEQVR4nOz92a8tS3ofiP2+iMy11h7OeIeqYg1UkU1SnCmYFG(...TRUNCATED) | ["\nLet's think step by step to answer the question. For text-based thinking, enclose the process wi(...TRUNCATED) | ["<think>Let me imagine what the view looks like from the target position.</think><image_start>","<i(...TRUNCATED) | 1 |
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["iVBORw0KGgoAAAANSUhEUgAABAAAAAQACAIAAADwf7zUAAEAAElEQVR4nJz9S6+t27IlBrUW0b8x1z7n5L2ZMhibdBo7DbZsYU(...TRUNCATED) | ["\nLet's think step by step to answer the question. For text-based thinking, enclose the process wi(...TRUNCATED) | ["<think>Let me imagine what the view looks like from the target position.</think><image_start>","<i(...TRUNCATED) | 1 |
["iVBORw0KGgoAAAANSUhEUgAABAAAAAQACAIAAADwf7zUAAEAAElEQVR4nMT92a91y5YfCP3GGBFzrmbv/e2vOeee22ZeO22cYJ(...TRUNCATED) | ["\nLet's think step by step to answer the question. For text-based thinking, enclose the process wi(...TRUNCATED) | ["<think>Visualizing the novel viewpoint to determine the spatial relation.</think><image_start>","<(...TRUNCATED) | 1 |
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["iVBORw0KGgoAAAANSUhEUgAABAAAAAQACAIAAADwf7zUAAEAAElEQVR4nOz9+/NuTXYXhn3W6t7POe9oJM2MmBEa3QkgJIEEAg(...TRUNCATED) | ["\nLet's think step by step to answer the question. For text-based thinking, enclose the process wi(...TRUNCATED) | ["<think>Let me imagine what the view looks like from the target position.</think><image_start>","<i(...TRUNCATED) | 1 |
["iVBORw0KGgoAAAANSUhEUgAABAAAAAQACAIAAADwf7zUAAEAAElEQVR4nOz9+7s3yVEfCH4i6nS3JK+QuIiLMZLA6AbIRgJsZr(...TRUNCATED) | ["\nLet's think step by step to answer the question. For text-based thinking, enclose the process wi(...TRUNCATED) | ["<think>Let me imagine what the view looks like from the target position.</think><image_start>","<i(...TRUNCATED) | 1 |
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lvr-data-pet_ipt-p24
The IPT PET training set (weikaih/imaginative-perception-token-pet-ipt, 20,531 rows) converted to the interleaved training schema with patch P24 of github.com/yangruoliu/mmcot-spatial: the question text now carries its answer options ("\n(A) Closer\n(B) Further"), which the released converter dropped. Built on 2026-09-21 from commit 3e5bdce; 11 chunks x 2048 rows, 64-row row groups, parquet_info.json included.
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