nvidia/Nemotron-RL-ARC-AGI-v1 · Datasets at Hugging Face

responses_create_params dict	train listlengths 2 5	test_input listlengths 1 30	expected_output listlengths 1 30	problem_id stringlengths 8 17	task_id stringlengths 8 17	variant stringclasses 1 value	difficulty float64 0 1	difficulty_bucket stringclasses 3 values	augmentation dict	original_problem dict	metadata dict	agent_ref dict	used_in listlengths 1 1
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, ...	[ [ 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2 ], [ 2, 9, 2, 9, 2, 1, 2, 3, 2, 3, 2, 1, 2, 3, 2, 3, 2, 2 ], [ 2, 9, 2, 9, 2, 1, ...	[ [ 5, 2, 5, 2, 5, 1, 5, 2, 5, 2, 5, 1, 2, 5, 2, 5, 2, 5 ], [ 2, 9, 2, 9, 2, 1, 2, 3, 2, 3, 2, 1, 2, 2, 3, 2, 3, 2 ], [ 2, 9, 2, 9, 2, 1, ...	9bbf930d_825aa9e9	9bbf930d_825aa9e9	python_inductive	0.913	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,...	{ "uuid": "2366fb66-e07d-462c-9fa7-a4ba0cd0538e", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 3}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 3, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 3, 0, ...	b27ca6d3_b1948b0a	b27ca6d3_b1948b0a	python_inductive	0.7778	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...	{ "uuid": "3870253f-e87e-46fa-9c36-4ee1db628a02", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/deepseek-ai/DeepSeek-V3.2?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 2}", "{\"name\": \"permute_pre...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 1, 3 ], [ 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 9, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	f0afb749_5c0a986e	f0afb749_5c0a986e	python_inductive	0.7692	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 1, 3 ], [ 0, 0, 0, 0, 0, 0...	{ "uuid": "62e6f230-96b0-411b-9fab-6a2b18541556", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 6}", "{\"name\": \"permute_preserve...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, ...	[ [ 1, 1, 1, 1, 1, 3, 3, 3, 3, 3, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7 ], [ 1, 1, 1, 1, 1, 3, 3, 3, 3, 3, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7 ], [ 1, 1, ...	581f7754_97239e3d	581f7754_97239e3d	python_inductive	0.5	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, ...	{ "uuid": "c4cf0be2-b2a3-4d22-9fef-4a3ee3976749", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 5}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 6, 6, 6, 6, 6, 8, 8, 8, 8, 8, 7, 7, 7, 7, 7, 3, 3, 3, 3, 3, 9, 9, 9, 9, 9, 7, ...	[ [ 2, 2, 2, 2, 2, 8, 8, 8, 8, 8, 1, 1, 1, 1, 1, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 8, 8, 8, 8, 8 ], [ 2, 2, 2, 2, 2, 8, 8, 8, 8, 8, 1, 1, 1, 1...	[ [ 2, 0, 0, 0, 9, 8 ], [ 3, 9, 3, 6, 8, 8 ], [ 3, 8, 9, 4, 4, 4 ], [ 0, 3, 8, 0, 7, 1 ], [ 0, 0, 0, 4, 0, 9 ], [ 0, 0, 0, 0, 6, 0 ] ]	71e489b6_e57337a4	71e489b6_e57337a4	python_inductive	0.5	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 6, 6, 6, 6, 6, 8, 8, 8, 8, 8, 7, 7, 7, 7, 7, 3, 3, 3, 3, 3, 9,...	{ "uuid": "69508b27-2ca6-4167-a27f-71c0f458ab51", "dataset_name": "nvarc", "llm_uri": "vllm-http://100.66.99.123:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 1}", "{\"name\": ...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, ...	e6721834_c0f76784	e6721834_c0f76784	python_inductive	0.5	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...	{ "uuid": "9bb73da9-facc-44dc-b5e6-673c225d6d00", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-3:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 6}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 2, 0, 0 ], [ 0, 2, 0, 0, 0 ], [ 2, 0, 0, 0, 0 ], [ 0, 2, 0, 0, 0 ], [ ...	[ [ 0, 0, 0, 0, 0, 2, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 2 ], [ 0, 0, 0, 0, 2, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 2, 0, 0, 0, 0, 0, 0 ], [ ...	[ [ 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0 ], [ 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2 ], [ 0, 0, ...	8be77c9e_d406998b	8be77c9e_d406998b	python_inductive	0.375	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 2, 0, 0 ], [ 0, 2, 0, 0, 0 ], [ 2, 0, 0, 0, 0 ], [ 0, ...	{ "uuid": "92fdf698-8b13-455f-8d2b-b935620fe454", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 7}", "{\"name\": \"scale\", \"scale...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 2, 0, 0, 0, 0, 2, 0 ], [ 0, 0, 2, 0, 0, 0, 0, 2, 0 ], [ 2, 2, 2, 2, 2, ...	[ [ 0, 0, 2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2 ], [ 0, 0, 2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	c62e2108_1f876c06	c62e2108_1f876c06	python_inductive	0.3333	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 2, 0, 0, 0, 0, 2, 0 ], [ 0, 0, 2, 0, 0, 0, 0, 2, 0 ], ...	{ "uuid": "27809e81-0223-4144-9a3b-5c814bedbdcd", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/deepseek-ai/DeepSeek-V3.2?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 7}", "{\"name\": \"permute_pre...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 4, 4, 4, 0, 0, 0, 8, 8 ], ...	[ [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0...	[ [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0...	694f12f3_b190f7f5	694f12f3_b190f7f5	python_inductive	0.8462	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 4, 4, 4, ...	{ "uuid": "eda03154-54e6-4ca8-98a7-59376ff5b959", "dataset_name": "nvarc", "llm_uri": "vllm-http://100.66.99.123:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 4}", "{\"name\": ...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 4, 4 ], [ 4, 4, 4, 4, 4, 4, 4, 4, ...	[ [ 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4 ], [ 4, 4, 4, 4, 4, 4, 4, 4, 2, 4, 4, 4, 4, 4 ], [ 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4 ], ...	[ [ 4, 4, 4, 4, 4, 4, 4, 4, 5, 4, 4, 4, 4, 4 ], [ 4, 4, 4, 4, 4, 4, 4, 4, 8, 4, 4, 4, 4, 4 ], [ 4, 4, 4, 4, 4, 4, 4, 4, 5, 4, 4, 4, 4, 4 ], ...	53fb4810_c6141b15	53fb4810_c6141b15	python_inductive	0.5833	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 4, 4 ], [ 4, 4, ...	{ "uuid": "c8e28d48-193f-473c-8e0f-14c3243dfc14", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/deepseek-ai/DeepSeek-V3.2?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 4}", "{\"name\": \"permute_pre...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6 ], [ ...	[ [ 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7 ], [ 7, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 7...	[ [ 3, 0, 0, 0, 3 ], [ 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0 ], [ 2, 0, 0, 0, 5 ], [ 9, 0, 0, 0, 1 ], [ 0, 0, 0, 0, 0 ], [ 0, 0,...	38007db0_66e6c45b	38007db0_66e6c45b	python_inductive	0.4286	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,...	{ "uuid": "9007ed5b-cab8-4e93-891c-a1536246566b", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 4}", "{\"name\": \"permute_preserve...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 7, 4, 4, 3, 7, 4, 4, 3 ], [ 4, 1, 1, 4, 4, 1, 1, 4 ], [ 4, 1, 1, 4, 4, 1, 1, 4 ], [ 3, 4, 4, 7, 3, 4, 4, 7 ], [ 7, 4, 4, 3, 7, 4, 4, 3 ]...	9a4bb226_f8c80d96	9a4bb226_f8c80d96	python_inductive	0	easy	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, ...	{ "uuid": "c4157a56-b52f-40db-9406-7d9809631a79", "dataset_name": "nvarc", "llm_uri": "vllm-http://100.66.99.123:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 0}", "{\"name\": ...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 6, 0, 0, 0, 1, 0, 0, 1, 0, 3, 3, 0, 6, 0, 0, 3, 3, 9, 9, 9, 0, 8, 0 ], [ 6, ...	[ [ 0, 0, 1, 0, 0, 1, 0, 8, 0, 0, 0, 1, 0, 0, 0, 0, 6, 0, 0, 6, 0, 0, 3, 3 ], [ 0, 1, 0, 0, 1, 0, 0, 8, 0, 0, 1, 0, 0, 5, 0, 6, 6, 6, 6, 6...	[ [ 1, 1, 1, 1, 1, 1, 8, 8, 8, 1, 1, 1, 5, 5, 5, 6, 6, 6, 6, 6, 6, 3, 3, 3 ], [ 1, 1, 1, 1, 1, 1, 8, 8, 8, 1, 1, 1, 5, 5, 5, 6, 6, 6, 6, 6...	782b5218_27a28665	782b5218_27a28665	python_inductive	0.375	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 6, 0, 0, 0, 1, 0, 0, 1, 0, 3, 3, 0, 6, 0, 0, 3, 3, 9, 9, 9,...	{ "uuid": "43c221a5-42fc-4b8f-8e52-dbb749af70ca", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-3:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 4}", "{\"name\": \"permut...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 8, 8, 8, 8, 4, 8, 8, 8, 8, 8, 8, 4, 8, 8, 8, 8 ], [ 4, 4, 4, 4, 4, 4, 4, 4, 4, ...	[ [ 2, 2, 2, 2, 2, 2, 8, 2, 2, 2, 2, 2, 8, 2, 2, 2, 2, 2, 8, 2 ], [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8 ], [ 2, 2, ...	[ [ 2, 2, 2, 2 ], [ 2, 1, 1, 2 ], [ 1, 1, 2, 2 ], [ 2, 1, 2, 2 ], [ 2, 1, 9, 2 ], [ 9, 2, 2, 2 ], [ 1, 2, 2, 2 ], [ 1, 2, 2, 2 ] ]	db695cfb_7039b2d7	db695cfb_7039b2d7	python_inductive	0.4444	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 8, 8, 8, 8, 4, 8, 8, 8, 8, 8, 8, 4, 8, 8, 8, 8 ], [ 4, 4, 4, ...	{ "uuid": "c43a3035-39cc-43bd-98ee-c1ecb3d90b19", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-3:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 5}", "{\"name\": \"permut...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 5, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 9, 9, 9, 9 ], [ 5, 5, 0, 0, 0, 0, 5, 5, 5, 9, ...	[ [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 0, 0, 0, 5, 5, 5, 5 ], [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5...	[ [ 3 ] ]	d0f5fe59_a8d7556c	d0f5fe59_a8d7556c	python_inductive	0.7	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 5, 5, 5, 5, 5, 5, 5, 5, 9, 9, 9, 9, 9, 9, 9 ], [ 5, 5, 0, 0, ...	{ "uuid": "681cc1ce-013b-4d23-84be-3a023f7a71b1", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-3:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 3}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 2, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 2, 0, 0, 0, 9, 0, 0, 0 ], [ 0, 0, 2, 0, 2, 0, 0, 0, 9, 0, 0 ], [ 0, 0, 2, 0, 0, 0, 0, 9, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, ...	dc46ea44	dc46ea44	python_inductive	0.9776	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 2, 0, 0, 0, 0, 0, 0, ...	{ "uuid": "be7927ca-8fe9-455d-a978-4eb99dd77509", "dataset_name": "arc_agi_2", "llm_uri": "vllm-http://10.109.27.133:8000/deepseek-ai/DeepSeek-V3.2?enable_thinking=true&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 2}", "{\"name\": \"smart_permute\", \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, ...	[ [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], [ 2, 0, 0, 4, 2, 0, 0, 4, 2, 0, 0, 4, 2, 0, 0...	[ [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], [ 2, 0, 0, 4, 2, 0, 0, 4, 2, 0, 0, 4, 2, 0, 0...	8a371977_b8cdaf2b	8a371977_b8cdaf2b	python_inductive	0.5833	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,...	{ "uuid": "b05c46ba-d4f9-4164-8923-865db09a7de3", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/deepseek-ai/DeepSeek-V3.2?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 3}", "{\"name\": \"permute_pre...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 4, 4, 4, 0, 0, 3, 0, 0, 3, 0 ], [ 4, 4, 4, 0, 0, 3, 0, 0, 3, 0 ], [ 4, 4, 4, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1 ], [ 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0 ], [ 0, 1, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1 ], [ 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0 ], [ 0, 1, ...	a416b8f3_42918530	a416b8f3_42918530	python_inductive	0.1667	easy	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 4, 4, 4, 0, 0, 3, 0, 0, 3, 0 ], [ 4, 4, 4, 0, 0, 3, 0, 0, 3, ...	{ "uuid": "ede37731-b297-4c89-a929-b82c143c9f58", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/deepseek-ai/DeepSeek-V3.2?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 3}", "{\"name\": \"permute_pre...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 5, 5 ] ], "output": [ [ 5, 5, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 5, 5, 0, 0, 0, 0, 0, 0, ...	[ [ 3, 0, 0, 1, 0, 0 ], [ 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 3 ], [ 2, 0, 0, 0, 0, 0 ] ]	[ [ 3, 1, 3, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 3, 1, 3, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, ...	4c4377d9_feca6190	4c4377d9_feca6190	python_inductive	0.2857	easy	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 5, 5 ] ], "output": [ [ 5, 5, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 5, 5, 0...	{ "uuid": "4c47d6ac-b02e-4a27-9a24-a512d102ba98", "dataset_name": "nvarc", "llm_uri": "vllm-http://100.66.99.123:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 0}", "{\"name\": ...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, ...	d2acf2cb_d19f7514	d2acf2cb_d19f7514	python_inductive	0.7857	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...	{ "uuid": "78c1d685-a809-4e70-94d6-67334b198f90", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 5}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 1, 7, 0, 0, 0, 7, 1, 0, 7, 7, 0, 7, 7, 0, 0, 3, 3, 0, 0, 7, 0, 7, 5, 0, ...	[ [ 7, 7, 7, 7, 0, 7, 3, 0, 6, 7, 7, 7, 0, 0, 7, 3, 2, 3, 3, 1, 0, 7, 0, 7, 7 ], [ 0, 6, 7, 8, 7, 0, 7, 7, 3, 0, 0, 3, 5, 5, 7, 7, 2, 7, 3...	[ [ 6, 7, 0, 0, 7, 0, 0, 0, 7 ], [ 0, 1, 0, 7, 0, 0, 3, 6, 7 ], [ 0, 3, 7, 0, 7, 0, 0, 7, 7 ], [ 0, 3, 0, 0, 0, 7, 5, 8, 7 ], [ 7, 7, 3, 0, ...	78332cb0_bcb3040b	78332cb0_bcb3040b	python_inductive	0.7647	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 1, 7, 0, 0, 0, 7, 1, 0, 7, 7, 0, 7, 7, 0, 0, 3, 3, 0, 0,...	{ "uuid": "0a79dbc4-d0c2-453e-8b7c-f8617fd17a61", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-2:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 0}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], [ 5, 5, 5, 5, 5, 5, 5, 5, 5, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 8, 8, 8, 8, 8, 8, 0 ], [ 0, 8, 8, 8, 8, 8, 8, 0 ], [ 0, 8, 8, 8, 8, 8, 8, 0 ]...	[ [ 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 1, 1, 1, 6, 6, 6, 0 ], [ 0, 1, 1, 1, 6, 6, 6, 0 ], [ 0, 1, 1, 1, 6, 6, 6, 0 ]...	67a3c6ac_639f5a19	67a3c6ac_639f5a19	python_inductive	0.6667	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], [ 5, 5, 5, ...	{ "uuid": "5c0120a6-1da0-4571-8818-0008f1dc5566", "dataset_name": "nvarc", "llm_uri": "vllm-http://localhost:8001/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=32768&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"slice_train\", \"selected_indices\": [9, 13, 18, 23, 27], \"max_examples\":...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 3, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 5, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	[ [ 5, 3 ] ]	20a9e565_48d8fb45	20a9e565_48d8fb45	python_inductive	0.6364	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...	{ "uuid": "029e675e-49c2-4abd-9ef8-0446b10e8a4c", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-3:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 0}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 1, 1, 0, 3, 6, 3, 4, 4, 3, 0 ], [ 1, 1, 1, 1, 1, 6, 3, 4, 0, 4, 0 ], [ 1, ...	[ [ 1, 1, 0, 1, 0, 6, 0, 4, 4, 4, 4 ], [ 0, 0, 0, 1, 1, 6, 4, 4, 3, 4, 4 ], [ 1, 1, 1, 1, 1, 6, 0, 4, 4, 4, 0 ], [ 1, 1, 0, 3, 1, 6, 4, 4, ...	[ [ 1, 4, 4, 4, 4 ], [ 4, 4, 8, 4, 4 ], [ 1, 4, 4, 4, 1 ], [ 4, 4, 4, 5, 4 ], [ 4, 8, 4, 4, 8 ] ]	a68b268e_e0fb7511	a68b268e_e0fb7511	python_inductive	0.4444	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 1, 1, 0, 3, 6, 3, 4, 4, 3, 0 ], [ 1, 1, 1, 1, 1, 6, 3, 4, ...	{ "uuid": "a340c073-4712-485d-9018-f6d00f69351a", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-3:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 4}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 7, 7, 7, 7, 7, 7 ], [ 7, 7, 7, 7, 7, 7 ], [ 7, 7, 7, 7, 7, 7 ], [ 7, 6, 7, 7, ...	[ [ 7, 7, 7, 7, 7, 7 ], [ 7, 7, 7, 7, 7, 7 ], [ 7, 7, 6, 7, 7, 7 ], [ 7, 7, 7, 7, 7, 7 ], [ 7, 7, 7, 7, 7, 7 ], [ 7, 7, 7, 7, 7, 7 ] ]	[ [ 0, 7, 0, 7, 0, 7, 0, 7, 0, 7, 0, 7, 0, 7, 0, 7 ], [ 7, 0, 7, 0, 7, 0, 7, 0, 7, 0, 7, 0, 7, 0, 7, 0 ], [ 0, 7, 0, 7, 0, 7, 0, 7, 0, 7, ...	eee78d87_b7955b3c	eee78d87_b7955b3c	python_inductive	0.1111	easy	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 7, 7, 7, 7, 7, 7 ], [ 7, 7, 7, 7, 7, 7 ], [ 7, 7, 7, 7, 7, 7...	{ "uuid": "8381c6bd-1986-4da2-b581-f4a395aefa8f", "dataset_name": "nvarc", "llm_uri": "vllm-http://localhost:8001/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=32768&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"slice_train\", \"selected_indices\": [1, 3, 5, 11, 20], \"max_examples\": 5...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 6, 6, 6, 6, 6, 6 ], [ 6, 7, 9, 6, 6, 6 ], [ 6, 0, 7, 6, 6, 6 ], [ 6, 6, 6, 6, ...	[ [ 6, 6, 6, 6, 6, 6 ], [ 6, 9, 7, 6, 6, 6 ], [ 6, 0, 9, 6, 6, 6 ], [ 6, 3, 6, 6, 6, 6 ], [ 6, 6, 6, 6, 6, 6 ], [ 6, 6, 6, 6, 6, 6 ] ]	[ [ 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0 ], [ 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6 ], [ 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, ...	eee78d87_484b58aa	eee78d87_484b58aa	python_inductive	0.5556	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 6, 6, 6, 6, 6, 6 ], [ 6, 7, 9, 6, 6, 6 ], [ 6, 0, 7, 6, 6, 6...	{ "uuid": "94f91254-1e7a-4be1-8b28-d9804c2a5d00", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-3:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 2}", "{\"name\": \"permut...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 7, 0, 7, 0, 7, 0, 7, 0 ], [ 7, 5, 9, 9, 7, 5, 9, 9 ], [ 0, 0, 7, 9, 0, 0, 7, ...	[ [ 0, 0, 7, 0, 0, 0, 7, 0 ], [ 7, 7, 7, 7, 7, 7, 7, 7 ], [ 7, 7, 9, 7, 7, 7, 9, 7 ], [ 7, 7, 7, 9, 7, 7, 7, 9 ], [ 0, 0, 7, 0, 0, 0, 7, 0 ]...	[ [ 0, 0, 1, 0 ], [ 1, 1, 1, 1 ], [ 1, 1, 9, 1 ], [ 1, 1, 1, 9 ] ]	7b7f7511_94f9d214	7b7f7511_94f9d214	python_inductive	0.375	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 7, 0, 7, 0, 7, 0, 7, 0 ], [ 7, 5, 9, 9, 7, 5, 9, 9 ], [ 0, 0...	{ "uuid": "977052c3-98bc-4817-8673-3fbcbfdeede6", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 7}", "{\"name\": \"scale\", \"scale...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 4, 0, 0, 4, 0, 0, 0, 0, 4, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 4, 0, 0, 4, 0, 0, 0, 0, 4, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	20981f0e_f3e62deb	20981f0e_f3e62deb	python_inductive	0.2857	easy	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...	{ "uuid": "839e0f30-33bb-4940-a3e7-d4cdbba01971", "dataset_name": "nvarc", "llm_uri": "vllm-http://100.66.99.123:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 5}", "{\"name\": ...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8 ], [ 8, ...	[ [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8...	[ [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8...	136b0064_484b58aa	136b0064_484b58aa	python_inductive	0.4286	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8,...	{ "uuid": "05f1e383-af47-49fe-a1e8-dc5981666048", "dataset_name": "nvarc", "llm_uri": "vllm-http://100.66.99.123:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 7}", "{\"name\": \"scale\", \"scale...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, ...	[ [ 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, ...	[ [ 6, 6, 6 ], [ 6, 5, 6 ], [ 6, 6, 6 ] ]	ce22a75a_bf699163	ce22a75a_bf699163	python_inductive	0.5714	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...	{ "uuid": "e53d34d0-094f-4a47-b692-c9f28c0fa47b", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 0}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 0, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, ...	[ [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 0, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8 ], [ 6, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 6, 0...	[ [ 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 2, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7 ], [ 7, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 7, 2...	da2b0fe3_bda2d7a6	da2b0fe3_bda2d7a6	python_inductive	0.1667	easy	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 0, 3, 3, 3, 3, 3, 3,...	{ "uuid": "0fc7fa5b-839f-49fc-9f0e-985325f45ca2", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-3:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 2}", "{\"name\": \"permut...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 9, 9, 9, 9, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 9, 9, 9, 7, 9, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 9, 9, 9, 9, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, ...	[ [ 8, 8, 8, 8, 8 ], [ 8, 0, 0, 8, 8 ], [ 8, 8, 8, 8, 8 ] ]	abc82100_b9b7f026	abc82100_b9b7f026	python_inductive	0.4286	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 9, 9, 9, 9, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 9, ...	{ "uuid": "156bc667-e957-42f5-b86d-4cb925705a1b", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-3:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 7}", "{\"name\": \"permut...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 6, 0, 0, ...	[ [ 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	[ [ 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 4, 0 ], [ 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0...	221dfab4_a5313dff	221dfab4_a5313dff	python_inductive	0.8462	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...	{ "uuid": "24db7eb3-ce41-421c-aa9b-65834b77b3b4", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 6}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 8, 8, 8, 8, 8 ], [ 8, 8, 8, 8, 8 ], [ 8, 8, 8, 8, 8 ], [ 1, 1, 1, 1, 1 ], [ ...	[ [ 5, 5, 5, 5 ], [ 6, 6, 6, 6 ], [ 5, 5, 5, 5 ] ]	[ [ 5, 5, 5, 5, 5, 5, 5, 5 ], [ 6, 6, 6, 6, 6, 6, 6, 6 ], [ 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0 ], [ 5, 5, 5, 5, 5, 5, 5, 5 ]...	746b3537_c3e719e8	746b3537_c3e719e8	python_inductive	0.4444	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 8, 8, 8, 8, 8 ], [ 8, 8, 8, 8, 8 ], [ 8, 8, 8, 8, 8 ], [ 1, ...	{ "uuid": "3c262a12-c760-4336-973a-3768b0e2b9e6", "dataset_name": "nvarc", "llm_uri": "vllm-http://100.66.99.123:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 1}", "{\"name\": ...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 7, 4, 4, 0, 7, 7, 9, 8, 5, 7, 8, 8, 7, 8, 0, 5, 0, 0, 1, 3, 5 ], [ 4, 8, 6, 8, ...	[ [ 7, 2, 2, 8, 7, 8, 1, 9, 9 ], [ 7, 0, 9, 9, 7, 8, 0, 1, 8 ], [ 7, 0, 6, 9, 9, 8, 7, 8, 3 ], [ 9, 6, 7, 9, 0, 8, 0, 9, 1 ], [ 7, 9, 4, 6, ...	[ [ 9, 9, 9 ], [ 9, 9, 9 ], [ 7, 9, 9 ], [ 9, 9, 9 ], [ 9, 9, 9 ], [ 9, 9, 9 ], [ 9, 9, 9 ], [ 9, 9, 9 ] ]	c8f0f002_5d2a5c43	c8f0f002_5d2a5c43	python_inductive	0.75	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 7, 4, 4, 0, 7, 7, 9, 8, 5, 7, 8, 8, 7, 8, 0, 5, 0, 0, 1, 3, 5 ...	{ "uuid": "14736c10-388f-4ab3-b983-119d79d3bae2", "dataset_name": "nvarc", "llm_uri": "vllm-http://100.66.99.123:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 5}", "{\"name\": \"permute_preserve...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 1, 0, 5, 0, 0, 0, 0, 0, 0, 0 ], [ ...	[ [ 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 1, 0, 5, 0, 0, 0, 0, 0, 0, 0 ], [ ...	1e32b0e9_22eb0ac0	1e32b0e9_22eb0ac0	python_inductive	0.6	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0 ...	{ "uuid": "b961066b-58b1-4da0-832b-5cf3bbd273b2", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-3:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 2}", "{\"name\": \"permut...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 4, 4, 4, 4, 4, 4, 2 ], [ 0, 1, 4, 4, 4, 4, 4, 4, 2 ], [ 0, 0, 4, 4, 4, ...	[ [ 0, 0, 4, 4, 4, 4, 4, 4, 0, 0, 0 ], [ 0, 0, 4, 4, 4, 4, 4, 4, 3, 0, 0 ], [ 0, 0, 4, 4, 4, 4, 4, 4, 0, 0, 0 ], [ 0, 0, 4, 4, 4, 4, 4, 4, ...	[ [ 0, 0, 6, 6, 6, 6, 6, 6, 0, 0, 0 ], [ 0, 0, 6, 6, 6, 6, 6, 6, 3, 0, 0 ], [ 0, 0, 6, 6, 6, 6, 6, 6, 0, 0, 0 ], [ 0, 0, 6, 6, 6, 6, 6, 6, ...	7ed72f31_37d3e8b2	7ed72f31_37d3e8b2	python_inductive	0.6364	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 4, 4, 4, 4, 4, 4, 2 ], [ 0, 1, 4, 4, 4, 4, 4, 4, 2 ], ...	{ "uuid": "b40ac852-bf37-4b13-9124-ae047c90bd45", "dataset_name": "nvarc", "llm_uri": "vllm-http://100.66.99.123:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 7}", "{\"name\": \"permute_preserve...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, ...	[ [ 5 ] ]	e12f9a14_1a2e2828	e12f9a14_1a2e2828	python_inductive	0.5	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, ...	{ "uuid": "e3981c52-72e9-4943-a956-e74a847039e0", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 3}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0 ], [ 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0 ], ...	[ [ 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0 ], [ 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0 ], [ 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0 ], [ 0, 0, 0, 0, 3, ...	[ [ 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0 ], [ 0, 8, 0, 0, 3, 8, 0, 0, 3, 8, 0, 0 ], [ 0, 0, 8, 0, 3, 0, 8, 0, 3, 0, 8, 0 ], [ 0, 0, 0, 0, 3, ...	d0f5fe59_2546ccf6	d0f5fe59_2546ccf6	python_inductive	0.6	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0 ], [ 0, 0, 0, 0, 3, 0, 0, ...	{ "uuid": "8d6070b2-b085-495e-8179-1f085f7d1a65", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"scale\", \"scale_factor\": 2}", "{\"name\": \"smart_permute\", \"pe...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 5, 2, 2 ], [ 0, 0, 0, 0, 0, 0, 5, 0, 0 ], [ 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 5, 2, 2, 3, 2, 2, 2, 2, 2, 2, 2 ], [ 0, 0, 0, 5, 0, 6, 0, 6, 0, 4, 4, 0, 0, 0 ], [ 0, 0, 0, 5, 0, 6, 0, 3, 4, 0, 0, 0, 0, 0 ], ...	[ [ 0, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0 ], [ 0, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0, 5, 0...	dd2401ed_963e52fc	dd2401ed_963e52fc	python_inductive	0.8182	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 5, 2, 2 ], [ 0, 0, 0, 0, 0, 0, 5, 0, 0 ], ...	{ "uuid": "fd68798d-7a2d-46dd-8059-d1849875b266", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/deepseek-ai/DeepSeek-V3.2?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 4}", "{\"name\": \"slice_train...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ 6, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, ...	[ [ 0, 2, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0 ], [ 0, 2, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 6...	[ [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	ce8d95cc_42a50994	ce8d95cc_42a50994	python_inductive	0.6364	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ 6, 0, 0, 0, 0, ...	{ "uuid": "d8ff3a8f-0b99-4540-9e84-980910563764", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/deepseek-ai/DeepSeek-V3.2?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 1}", "{\"name\": \"scale\", \"...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 7, 7, 7, 9, 9, 7, 7, 7, 9, 9, 7, 7, 7, 9, 9, 7, 7, 7, 9, 9, 7, 7, 7, 9, 9, 7, ...	[ [ 7, 7, 7, 9, 9, 7, 7, 7, 9, 9, 7, 7, 7, 9, 9, 7, 7, 7, 9, 9, 7, 7, 7, 9, 9, 7, 7, 7, 9, 9 ], [ 7, 7, 7, 9, 9, 7, 7, 7, 9, 9, 7, 7, 7, 9...	[ [ 7, 7, 7, 7, 7, 7 ], [ 7, 7, 7, 7, 7, 7 ], [ 8, 7, 7, 8, 7, 7 ], [ 7, 7, 7, 7, 7, 7 ], [ 7, 7, 7, 7, 7, 7 ] ]	1818057f_e1baa8a4	1818057f_e1baa8a4	python_inductive	0.125	easy	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 7, 7, 7, 9, 9, 7, 7, 7, 9, 9, 7, 7, 7, 9, 9, 7, 7, 7, 9, 9, 7,...	{ "uuid": "b7e485cd-41ab-41ad-9ec3-26ee066740f4", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 4}", "{\"name\": \"permute_preserve...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, ...	[ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ 3, 3, ...	83302e8f_868de0fa	83302e8f_868de0fa	python_inductive	0.2857	easy	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ...	{ "uuid": "ce82b3a1-e524-4727-8cf2-d55ec582577e", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-3:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 2}", "{\"name\": \"permut...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 1, 3, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], [ 1, 3, 1, 1, 1, 3, ...	[ [ 1, 1, 1, 1, 3, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1 ], [ 1, 1, 1, 1, 3, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1 ], [ 1, 1, 1, 1, 3, 1, 1, 1, ...	[ [ 1, 1, 1, 8 ], [ 1, 1, 1, 4 ], [ 1, 1, 1, 4 ], [ 1, 1, 1, 4 ], [ 1, 1, 1, 7 ], [ 1, 1, 1, 7 ], [ 1, 1, 1, 5 ], [ 1, 1, 1, 5 ], [ 2, 2, 2, 2...	7b3084d4_25c199f5	7b3084d4_25c199f5	python_inductive	0.7059	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 1, 3, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], [ ...	{ "uuid": "73d6c8ed-921e-47bf-8ecf-86f7c7f32cd9", "dataset_name": "nvarc", "llm_uri": "vllm-http://100.66.99.123:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 4}", "{\"name\": ...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 1, 0, 0, 0, 0, 0, 0 ], [ 1, 1, 1, 0, 0, 6, 6, 6 ], [ 1, 9, 1, 0, 0, 6, 3, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 6, 5, 0, 0, 0...	[ [ 6, 4 ] ]	070dd51e_d9fac9be	070dd51e_d9fac9be	python_inductive	0	easy	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 1, 0, 0, 0, 0, 0, 0 ], [ 1, 1, 1, 0, 0, 6, 6, 6 ], [ 1, 9...	{ "uuid": "fb2e9e8c-bd3b-478f-bd38-eafe2c3ac731", "dataset_name": "nvarc", "llm_uri": null, "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 2}", "{\"name\": \"permute_preserve_background\", \"permutation\": [0, 6, 4, 1, 8, 7, 2, 5, 9, 3]}", "{\"name\": \"shuffle_train_boards...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 2, 5, 1, 0, 0, 0 ], [ 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 6, 4, 2, 2, 4, 2, 0, 0, 0, 0 ], [ 0, 0, 5, 1, 6, 2, 1, 6, 0, 0, 0, 0 ], [ 0, 0, 1, 3, 3, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 1, 7, 7, 6, 9, 2, 0, 0, 0, 0 ], [ 0, 0, 8, 6, 1, 3, 9, 7, 0, 0, 0, 0 ], [ 0, 0, 9, 5, 5, ...	7468f01a_3c9b0459	7468f01a_3c9b0459	python_inductive	0.1429	easy	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 2, 5, 1, ...	{ "uuid": "358b821e-b767-4962-8fa2-741a334268cc", "dataset_name": "nvarc", "llm_uri": "openai-http://cpu-2:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 1}", "{\"name\": \"permute_preserve_background\", \"permutation\": [0, 9, 7, 5...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	[ [ 5, 5, 9 ], [ 0, 0, 8 ], [ 0, 0, 8 ] ]	c074846d_2013d3e2	c074846d_2013d3e2	python_inductive	0.2222	easy	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...	{ "uuid": "7e140927-bdda-422e-87e1-6791de55dbe5", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-3:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 4}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9 ], [ 8, 4, 3, 0, 5, 8, 9, 4, 3, 0, 5, 9 ], [ 8, 0, 0, 4, 4, 8, 9, 0, 0, 4, 4, 9 ], [ 8, 2, 0, 3, 0, ...	6f8cd79b_28bf18c6	6f8cd79b_28bf18c6	python_inductive	0.125	easy	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...	{ "uuid": "0efd79f4-27eb-4e99-8ac2-8ba4011cecc1", "dataset_name": null, "llm_uri": "openai-http://cpu-2:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 3}", "{\"name\": \"permute_preserve_background\", \"permutation\": [0, 8, 7, 6, 9...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 9, 3, ...	[ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ 3, 3, 3, 3, 3, 9, 3, 3, 3, 3, 3, 3 ], [ 3, 3, 3, 3, 3, 7, 8, 8, 3, 3, 3, 3 ], [ 3, 3, 3, 3, 3, ...	[ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ 3, 3, 3, 3, 3, 5, 5, 5, 5, 3, 3, 3 ], [ 3, 3, 3, 3, 3, 5, 1, 4, 5, 3, 3, 3 ], [ 3, 3, 3, 3, 3, ...	cb2d8a2c_103eff5b	cb2d8a2c_103eff5b	python_inductive	0.7692	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,...	{ "uuid": "95b16096-ed10-4cae-aff8-d1ce56679369", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 2}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9, 0, 0, 0, 6, 5 ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9, 0, 0, 0, 6, 5 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9, 0, 0, 0, 0, 5...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...	a32d8b75_bb52a14b	a32d8b75_bb52a14b	python_inductive	0.4286	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9,...	{ "uuid": "fe387089-26fc-41ac-b7f1-8fee2808c68b", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 2}", "{\"name\": \"smart_permute\",...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7 ], [ 0, 0, 2, 0, 0, 0, 0, 0, 1, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 7 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0 ], [ 0, 0, 0, 1, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 7 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 7, 0 ], [ 0, 0, 0, 0, ...	9dfd6313_25ff71a9	9dfd6313_25ff71a9	python_inductive	0.4	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7 ], [ 0, 0, 2, ...	{ "uuid": "33ae0536-8feb-413a-81c9-b4a205256d83", "dataset_name": "nvarc", "llm_uri": "vllm-http://100.66.111.181:8000/inclusionAI/Ring-1T-FP8?enable_thinking=true&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 4}", "{\"name\": \"scale\", \"scale_factor\": 2}...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 5, 5, 0 ], [ 8, 0, 8 ], [ 0, 5, 4 ], [ 0, 6, 0 ], [ 0, 8, 5 ], [ 0, 3, 1 ], ...	[ [ 0, 1, 0 ], [ 2, 0, 0 ], [ 2, 0, 0 ], [ 1, 1, 5 ], [ 1, 2, 2 ], [ 4, 1, 3 ], [ 0, 0, 8 ], [ 0, 3, 1 ], [ 2, 5, 2 ], [ 0, 4, 6 ], [ 2, 3, 0 ],...	[ [ 1, 1, 5 ], [ 1, 2, 2 ], [ 4, 7, 3 ] ]	aedd82e4_a87f7484	aedd82e4_a87f7484	python_inductive	0.6364	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 5, 5, 0 ], [ 8, 0, 8 ], [ 0, 5, 4 ], [ 0, 6, 0 ], [ 0, 8, ...	{ "uuid": "b8c398fd-6f2e-44eb-babb-1ede81950b59", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.31.144:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 2}", "{\"name\": \"permute_preserve...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 5, 5, 5, 5, 5, 5, 5, 5 ], [ 5, 5, 5, 5, 5, 5, 5, 5 ], [ 5, 5, 5, 5, 5, 5, 5, ...	[ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ 3, 3, 3, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3 ], [ 3, 3, 3, 0, 3, 3, 3, 0, 3, 3, 3, 3, 3, 3 ], ...	[ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ 3, 3, 3, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3 ], [ 3, 3, 3, 0, 9, 9, 9, 0, 3, 3, 3, 3, 3, 3 ], ...	4c416de3_e3f79277	4c416de3_e3f79277	python_inductive	0.5	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 5, 5, 5, 5, 5, 5, 5, 5 ], [ 5, 5, 5, 5, 5, 5, 5, 5 ], [ 5, 5...	{ "uuid": "48b87877-d013-4728-8a6e-8e6783b36a61", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 2}", "{\"name\": \"permute_preserve...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 2, 2, 0, 0 ], [ 2, 0, 2, 0, 0 ], [ 0, 2, 2, 0, 0 ], [ 2, 0, 2, 0, 0 ], [ ...	[ [ 0, 2, 2, 0 ], [ 2, 0, 2, 0 ], [ 0, 2, 2, 0 ], [ 2, 0, 2, 0 ], [ 0, 2, 2, 0 ], [ 2, 0, 2, 0 ], [ 0, 2, 2, 0 ], [ 2, 0, 2, 0 ], [ 0, 2, 2, 0...	[ [ 1, 1, 1, 1 ], [ 4, 4, 4, 4 ], [ 4, 4, 4, 4 ], [ 1, 1, 1, 1 ], [ 4, 4, 4, 4 ], [ 4, 4, 4, 4 ], [ 1, 1, 1, 1 ], [ 4, 4, 4, 4 ], [ 4, 4, 4, 4...	ba26e723_28e73c20	ba26e723_28e73c20	python_inductive	0.3333	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 2, 2, 0, 0 ], [ 2, 0, 2, 0, 0 ], [ 0, 2, 2, 0, 0 ], [ 2, ...	{ "uuid": "d628e3d0-9cff-46c6-a8d6-a65699586fdd", "dataset_name": "nvarc", "llm_uri": "vllm-http://100.66.99.123:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 3}", "{\"name\": \"permute_preserve...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0 ], [ 5, 0, 0, 0, 0, 0, 0 ], [ 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 5, 5 ], [ 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, ...	f8be4b64_6d0aefbc	f8be4b64_6d0aefbc	python_inductive	0.7647	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0 ], [ 5, 0, 0, 0...	{ "uuid": "c404d851-7e79-4392-bd32-74b9b3d0854f", "dataset_name": "nvarc", "llm_uri": "vllm-http://100.66.99.123:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 0}", "{\"name\": ...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 5, 5, 5, 5, 3, 3, 5, 5, 5, 5, 5, 5 ], [ 5, 5, 5, 5, 3, 3, 5, 5, 5, 5, 5, 5 ], ...	[ [ 5, 5, 5, 3, 5, 5, 5, 5, 3, 5, 5, 5 ], [ 5, 5, 5, 3, 5, 5, 5, 5, 3, 5, 5, 5 ], [ 5, 5, 5, 3, 5, 5, 5, 5, 3, 5, 5, 5 ], [ 5, 5, 5, 3, 5, ...	[ [ 5, 5, 5, 5, 5, 5, 3, 3, 5, 5, 5, 5, 5, 5, 5, 5, 3, 3, 5, 5, 5, 5, 5, 5 ], [ 5, 5, 5, 5, 5, 5, 3, 3, 5, 5, 5, 5, 5, 5, 5, 5, 3, 3, 5, 5...	eee78d87_7ee1c6ea	eee78d87_7ee1c6ea	python_inductive	0.5455	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 5, 5, 5, 5, 3, 3, 5, 5, 5, 5, 5, 5 ], [ 5, 5, 5, 5, 3, 3, 5, ...	{ "uuid": "5a9eaf1f-6a20-4fd3-91e3-4d849727dbef", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/deepseek-ai/DeepSeek-V3.2?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 1}", "{\"name\": \"smart_permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], [ 5, ...	[ [ 5, 5, 5, 5, 5, 5, 5, 0 ], [ 5, 5, 5, 5, 5, 5, 5, 0 ], [ 5, 5, 5, 5, 5, 5, 5, 0 ], [ 5, 5, 5, 5, 5, 5, 5, 2 ], [ 5, 5, 5, 5, 5, 5, 5, 2 ]...	[ [ 5, 5, 5, 5, 5, 5, 5, 0, 8, 5, 5, 5, 5, 5, 5, 5 ], [ 5, 5, 5, 5, 5, 5, 5, 0, 8, 5, 5, 5, 5, 5, 5, 5 ], [ 5, 5, 5, 5, 5, 5, 5, 0, 8, 5, ...	695367ec_6f473927	695367ec_6f473927	python_inductive	0.8421	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], [ 5, 5, 5, 5, 5, 5, 5, 5, ...	{ "uuid": "27208430-fac1-4228-beaa-4c553f40aaea", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"shuffle_boards\", \"permutation\": [1, 29, 2, 27, 5, 11, 12, 21, 7, 18,...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 1, 0, 0, 0, 0, 7, 0, 0, 0, 0, 1, 7, 4, 0, 0, 0, 0, 7, 9, 0, 0, 0, 0, 7, 0, 2, ...	[ [ 0, 0, 2, 0, 0, 7, 0, 0, 0, 0, 3, 7, 0, 0, 0, 5, 0, 7, 0, 0, 0, 0, 9, 7, 0, 0, 6, 0, 0 ], [ 7, 0, 7, 0, 7, 7, 7, 0, 7, 0, 7, 7, 7, 0, 7...	[ [ 0, 2, 3, 2, 0, 3, 3, 3, 3, 3, 0, 0, 3, 0, 0, 0, 9, 3, 9, 0, 0, 0, 3, 0, 0 ], [ 0, 0, 3, 0, 0, 0, 0, 3, 0, 0, 0, 0, 3, 0, 0, 9, 9, 3, 9...	65b59efc_2b01abd0	65b59efc_2b01abd0	python_inductive	0.2222	easy	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 1, 0, 0, 0, 0, 7, 0, 0, 0, 0, 1, 7, 4, 0, 0, 0, 0, 7, 9, 0, 0,...	{ "uuid": "513038df-dfde-48c5-a926-321938de1e3b", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-3:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 2}", "{\"name\": \"permut...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	[ [ 4, 4, 4, 4 ], [ 4, 4, 4, 4 ], [ 4, 4, 4, 4 ], [ 0, 0, 0, 0 ] ]	9aaea919_281123b4	9aaea919_281123b4	python_inductive	0.4444	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...	{ "uuid": "17994a64-2010-4b91-bf20-eac3ffb68938", "dataset_name": "nvarc", "llm_uri": "openai-http://cpu-2:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 0}", "{\"name\": \"permute_preserve_background\", \"permutation\": [0, 1, 7, 9...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...	[ [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], [ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	[ [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], [ 1, 0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0...	2dee498d_b7fb29bc	2dee498d_b7fb29bc	python_inductive	0.6364	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,...	{ "uuid": "308258f9-90c3-4ce4-86b6-510eca8d277c", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-3:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 3}", "{\"name\": \"permut...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0 ], [ 0, 0, ...	[ [ 0, 1, 1, 0, 0, 1 ], [ 1, 1, 1, 0, 1, 1 ], [ 0, 1, 1, 0, 0, 1 ], [ 1, 1, 1, 0, 1, 1 ], [ 0, 1, 1, 0, 0, 1 ], [ 1, 1, 1, 0, 1, 1 ], [ 0, 1, ...	97d7923e_8eb1be9a	97d7923e_8eb1be9a	python_inductive	0.4444	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...	{ "uuid": "34f094ae-934b-4a82-949a-33d8d77c52e0", "dataset_name": "nvarc", "llm_uri": "vllm-http://100.66.99.123:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 4}", "{\"name\": ...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 5, 5, 5, 1, 1, 1, 5, 5, 5, 1, 1, 1, 5, 7, 5, 1, 1, 1, 5, 5, 5, 1, 1, 1, 5, 5, ...	[ [ 5, 5, 5, 1, 1, 1, 5, 5, 5, 1, 1, 1, 5, 7, 5, 1, 1, 1, 5, 5, 5, 1, 1, 1, 5, 5, 5 ], [ 5, 5, 5, 1, 1, 1, 5, 5, 5, 1, 1, 1, 5, 7, 5, 1, 1...	[ [ 3, 2, 0 ], [ 3, 6, 3 ], [ 6, 0, 6 ] ]	b10624e5_7837ac64	b10624e5_7837ac64	python_inductive	0.5	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 5, 5, 5, 1, 1, 1, 5, 5, 5, 1, 1, 1, 5, 7, 5, 1, 1, 1, 5, 5, 5,...	{ "uuid": "1ab8e142-2a74-4660-b346-a9b7d1785619", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 7}", "{\"name\": \"permute_preserve...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 1, 0, 0, 1, 0, 0, 0, ...	[ [ 0, 4, 4, 4, 4, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	[ [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], [ 4, 4, 4, 4, 4, ...	2ba387bc_73ccf9c2	2ba387bc_73ccf9c2	python_inductive	0.4	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 1, ...	{ "uuid": "da826797-e004-40a5-9498-c24f2bacf032", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-3:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 7}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 9, 0, 6, 0, 0, 7, 0 ], [ 0, 9, 9, 0, 6, 0, 0, 0, 0 ], [ 0, 9, 0, 0, 6, ...	[ [ 0, 0, 0, 0, 0, 0, 9, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0 ], [ 9, 0, 0, 0, 9, 9, 9, 9, 9, 0, 6, 0, 0, 0, 0, 0, 0, 0, 7, 7, 0 ], [ ...	[ [ 0, 0, 0, 0, 0, 0, 4, 0, 3, 0 ], [ 4, 0, 0, 0, 4, 4, 4, 3, 3, 0 ], [ 0, 0, 0, 4, 4, 0, 0, 0, 3, 3 ], [ 0, 0, 0, 4, 0, 4, 0, 3, 3, 0 ] ]	b0039139_18286ef8	b0039139_18286ef8	python_inductive	0.6667	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 9, 0, 6, 0, 0, 7, 0 ], [ 0, 9, 9, 0, 6, 0, 0, 0, 0 ], ...	{ "uuid": "3f89f900-c651-40e0-8978-8b4f071115bf", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 0}", "{\"name\": \"permute_preserve...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 4, 0, 1, 0 ], [ 5, 2, 5, 5, 5, 0, 5, 0, 5 ], [ 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 6, 0, 0, 0, 8, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 6, 0, 0, 0, 8, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 6, 0, 0, 0, 8, 0, 0, 0, 0 ], [ 0, 0, ...	[ [ 0, 6, 8, 0 ], [ 7, 6, 8, 7 ], [ 4, 6, 8, 4 ], [ 0, 6, 8, 0 ] ]	faa9f03d_a61ba2ce	faa9f03d_a61ba2ce	python_inductive	0.5556	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 4, 0, 1, 0 ], [ 5, 2, 5, 5, 5, 0, 5, 0, 5 ], ...	{ "uuid": "9060703e-6130-4bcf-aeaa-1bd8a5aea3ef", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/deepseek-ai/DeepSeek-V3.2?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 2}", "{\"name\": \"permute_pre...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 1, 1, 1, 1, 1, 7, 1, 3 ], [ 1, 1, 1, 1, 7, 7, 1, 6 ], [ 1, 1, 1, 1, 1, 2, 2, ...	[ [ 1, 1, 1, 1, 1, 1, 1, 6 ], [ 1, 1, 1, 1, 1, 1, 1, 3 ], [ 1, 1, 1, 1, 7, 2, 2, 6 ], [ 1, 1, 1, 1, 7, 2, 2, 3 ], [ 1, 1, 1, 1, 1, 1, 1, 6 ]...	[ [ 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0 ], [ 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1...	eee78d87_c7d4e6ad	eee78d87_c7d4e6ad	python_inductive	0.2	easy	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 1, 1, 1, 1, 1, 7, 1, 3 ], [ 1, 1, 1, 1, 7, 7, 1, 6 ], [ 1, 1...	{ "uuid": "78e15601-2075-48d8-8133-64a4f4af2e07", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-3:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 4}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 8, 7, 8, 0, 0, 0, 0, 0, 0, 9, 7, 9, 0, 0, 0, 0, 0, 0...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	247ef758_45737921	247ef758_45737921	python_inductive	0.7857	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, ...	{ "uuid": "ed27be8b-1da7-4603-a15f-5b79ca76253e", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 6}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 4, 1, 1, 1, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], [ 4, 1, 1, 1, 1, 4, 4, 4, 4, 4, ...	[ [ 4, 4, 4, 4, 4, 4, 4 ], [ 4, 0, 0, 0, 0, 0, 4 ], [ 4, 0, 0, 0, 0, 0, 4 ], [ 4, 0, 0, 0, 0, 0, 4 ], [ 4, 0, 0, 0, 0, 0, 4 ], [ 4, 4, 9, 9, ...	[ [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], [ 4, 0, 0, 0, 0, 0, 4, 4, 4, 4, 4, 4, 4, 4 ], [ 4, 0, 0, 0, 0, 0, 4, 4, 4, 4, 4, 4, 4, 4 ], ...	dbff022c_48f8583b	dbff022c_48f8583b	python_inductive	0.75	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 4, 1, 1, 1, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], [ 4, 1, 1, 1, ...	{ "uuid": "055b3d40-10a1-4c16-a15f-f5867ff7e323", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/deepseek-ai/DeepSeek-V3.2?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"smart_permute\", \"permutation\": [4, 3, 9, 2, 8, 1, 5, 0, 6, 7], ...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	009d5c81_b2862040	009d5c81_b2862040	python_inductive	0.878	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...	{ "uuid": "9324e576-3b38-46c1-a702-016d6bc38694", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8001/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=32768&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"slice_train\", \"selected_indices\": [11, 12, 18, 21, 26], \"max_exampl...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 6, 0, 0, 0, 6, 0, 0, 0, 6, 0, 0, 0 ], [ 0, 0, 0, 6, 0, 0, 0, 6, 0, 0, ...	[ [ 0, 0, 0, 6, 0, 0, 0, 6, 0, 0, 0, 6, 0, 0, 0 ], [ 0, 0, 0, 6, 0, 0, 0, 6, 0, 0, 0, 6, 0, 0, 0 ], [ 0, 0, 0, 6, 0, 0, 0, 6, 0, 0, 0, 6, ...	[ [ 8, 8, 8 ], [ 7, 7, 7 ], [ 2, 2, 2 ], [ 3, 3, 3 ], [ 9, 9, 9 ], [ 8, 8, 8 ], [ 7, 7, 7 ], [ 2, 2, 2 ], [ 3, 3, 3 ], [ 9, 9, 9 ], [ 8, 8, 8 ],...	1ae2feb7_351d6448	1ae2feb7_351d6448	python_inductive	0.6667	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 6, 0, 0, 0, 6, 0, 0, 0, 6, 0, 0, 0 ], [ 0, 0, 0, 6, ...	{ "uuid": "588ce504-7a9c-46fc-8743-cd0064d66162", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/deepseek-ai/DeepSeek-V3.2?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 7}", "{\"name\": \"permute_pre...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], [ 2, 0, 0, 0, 0, 2, 2, 0, 0, 0, 0, 2 ], ...	[ [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], [ 2, 0, 7, 6, 6, 2, 2, 0, 7, 6, 6, 2 ], [ 2, 0, 6, 6, 7, 2, 2, 0, 6, 6, 7, 2 ], [ 2, 0, 6, 6, 7, ...	[ [ 6, 6, 7 ], [ 6, 6, 6 ], [ 7, 7, 6 ] ]	2013d3e2_2dee498d	2013d3e2_2dee498d	python_inductive	0.4444	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], [ 2, 0, 0, 0, 0, 2, 2, ...	{ "uuid": "c5c35be2-b413-4025-879a-78a58eb3f0a0", "dataset_name": "nvarc", "llm_uri": "vllm-http://100.66.99.123:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 7}", "{\"name\": \"scale\", \"scale...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 7, 0, 0, 1, 1, 1, 0, 0, 0 ], [ 8, ...	[ [ 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 7, 0, 0, 0, 0, 0, 0, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0...	[ [ 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 7, 0, 0, 0, 0, 0, 0, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0...	8b7bacbf_7447852a	8b7bacbf_7447852a	python_inductive	0.5455	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 7, 0, 0, 1, 1, 1, ...	{ "uuid": "83663a74-b0f3-44f3-953e-baa660a7e303", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/deepseek-ai/DeepSeek-V3.2?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 6}", "{\"name\": \"permute_pre...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ ...	[ [ 8, 2, 2, 1, 8, 8, 7 ], [ 8, 7, 7, 1, 8, 7, 8 ], [ 8, 8, 8, 1, 7, 2, 2 ], [ 1, 1, 1, 1, 1, 1, 1 ], [ 2, 8, 2, 1, 2, 8, 8 ], [ 7, 8, 8, 1, ...	edb79dae_a8c38be5	edb79dae_a8c38be5	python_inductive	0.5	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...	{ "uuid": "ceed411b-088f-4824-bc6f-0e26030099ee", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 3}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 4, 6, 7, 7, 7, 6, 6, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6 ], [ 0, 0, 0, 0, 0, 0, ...	[ [ 0, 5, 0 ], [ 4, 5, 3 ], [ 5, 5, 5 ] ]	2b83f449_5117e062	2b83f449_5117e062	python_inductive	0.6364	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 4, ...	{ "uuid": "7c83d9da-bb46-450c-826b-e31c3fed8f02", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-3:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 0}", "{\"name\": \"permut...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0 ], [ 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 9, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 9, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 9, 0, 0, 0, 0, ...	45bbe264_d23f8c26	45bbe264_d23f8c26	python_inductive	0.4444	medium	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0...	{ "uuid": "bcabc584-886f-4e66-b6c7-6bdefef00393", "dataset_name": "nvarc", "llm_uri": "vllm-http://100.66.99.123:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 4}", "{\"name\": \"permute_preserve...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]

{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...

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python_inductive

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...

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38007db0_27a77e38

python_inductive

0.1667

easy

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71e489b6_91714a58

python_inductive

0.4286

medium

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39e1d7f9_281123b4

python_inductive

0.4

medium

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9bbf930d_825aa9e9

python_inductive

0.913

hard

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dfadab01_3a301edc

python_inductive

0.7

hard

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b27ca6d3_b1948b0a

python_inductive

0.7778

hard

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7b3084d4_d037b0a7

python_inductive

0.4444

medium

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f0afb749_5c0a986e

python_inductive

0.7692

hard

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581f7754_97239e3d

python_inductive

0.5

medium

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71e489b6_e57337a4

python_inductive

0.5

medium

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e6721834_c0f76784

python_inductive

0.5

medium

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8be77c9e_d406998b

python_inductive

0.375

medium

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c62e2108_1f876c06

python_inductive

0.3333

medium

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694f12f3_b190f7f5

python_inductive

0.8462

hard

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python_inductive

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medium

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python_inductive

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medium

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python_inductive

0

easy

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782b5218_27a28665

python_inductive

0.375

medium

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python_inductive

0.4444

medium

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d0f5fe59_a8d7556c

python_inductive

0.7

hard

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dc46ea44

python_inductive

0.9776

hard

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8a371977_b8cdaf2b

python_inductive

0.5833

medium

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a416b8f3_42918530

python_inductive

0.1667

easy

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{ "name": "nvarc_inductive_simple_agent" }

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4c4377d9_feca6190

python_inductive

0.2857

easy

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cbebaa4b_9b2a60aa

python_inductive

0.6154

medium

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8e5c0c38_68b67ca3

python_inductive

0.375

medium

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{ "name": "nvarc_inductive_simple_agent" }

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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...

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7491f3cf_dae9d2b5

python_inductive

0.375

medium

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{ "name": "nvarc_inductive_simple_agent" }

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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...

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d2acf2cb_d19f7514

python_inductive

0.7857

hard

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python_inductive

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hard

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python_inductive

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medium

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python_inductive

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medium

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python_inductive

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medium

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python_inductive

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medium

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2dee498d_b60334d2

python_inductive

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medium

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python_inductive

0.9048

hard

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31f7f899_8eb1be9a

python_inductive

0.4444

medium

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eee78d87_b7955b3c

python_inductive

0.1111

easy

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dd2401ed_08ed6ac7

python_inductive

0.2857

easy

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1818057f_1acc24af

python_inductive

0

easy

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eee78d87_484b58aa

python_inductive

0.5556

medium

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python_inductive

0.375

medium

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20981f0e_f3e62deb

python_inductive

0.2857

easy

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python_inductive

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hard

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python_inductive

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medium

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python_inductive

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medium

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python_inductive

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medium

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python_inductive

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medium

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python_inductive

0.1667

easy

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python_inductive

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medium

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221dfab4_a5313dff

python_inductive

0.8462

hard

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python_inductive

0.1667

easy

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746b3537_c3e719e8

python_inductive

0.4444

medium

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c8f0f002_5d2a5c43

python_inductive

0.75

hard

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python_inductive

0.5455

medium

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1e32b0e9_22eb0ac0

python_inductive

0.6

medium

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7ed72f31_37d3e8b2

python_inductive

0.6364

medium

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{ "name": "nvarc_inductive_simple_agent" }

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e12f9a14_1a2e2828

python_inductive

0.5

medium

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

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d0f5fe59_2546ccf6

python_inductive

0.6

medium

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{ "name": "nvarc_inductive_simple_agent" }

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dd2401ed_963e52fc

python_inductive

0.8182

hard

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{ "name": "nvarc_inductive_simple_agent" }

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ce8d95cc_42a50994

python_inductive

0.6364

medium

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{ "name": "nvarc_inductive_simple_agent" }

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1818057f_e1baa8a4

python_inductive

0.125

easy

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{ "name": "nvarc_inductive_simple_agent" }

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83302e8f_868de0fa

python_inductive

0.2857

easy

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...

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7b3084d4_25c199f5

python_inductive

0.7059

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

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070dd51e_d9fac9be

python_inductive

0

easy

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{ "train": [ { "input": [ [ 0, 1, 0, 0, 0, 0, 0, 0 ], [ 1, 1, 1, 0, 0, 6, 6, 6 ], [ 1, 9...

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...

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7468f01a_3c9b0459

python_inductive

0.1429

easy

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{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 2, 5, 1, ...

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...

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[ [ 5, 5, 9 ], [ 0, 0, 8 ], [ 0, 0, 8 ] ]

c074846d_2013d3e2

python_inductive

0.2222

easy

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...

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6f8cd79b_28bf18c6

python_inductive

0.125

easy

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{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...

{ "uuid": "0efd79f4-27eb-4e99-8ac2-8ba4011cecc1", "dataset_name": null, "llm_uri": "openai-http://cpu-2:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 3}", "{\"name\": \"permute_preserve_background\", \"permutation\": [0, 8, 7, 6, 9...

{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...

[ { "input": [ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 9, 3, ...

[ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ 3, 3, 3, 3, 3, 9, 3, 3, 3, 3, 3, 3 ], [ 3, 3, 3, 3, 3, 7, 8, 8, 3, 3, 3, 3 ], [ 3, 3, 3, 3, 3, ...

[ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ 3, 3, 3, 3, 3, 5, 5, 5, 5, 3, 3, 3 ], [ 3, 3, 3, 3, 3, 5, 1, 4, 5, 3, 3, 3 ], [ 3, 3, 3, 3, 3, ...

cb2d8a2c_103eff5b

python_inductive

0.7692

hard

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{ "train": [ { "input": [ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,...

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...

[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9, 0, 0, 0, 6, 5 ...

[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9, 0, 0, 0, 6, 5 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9, 0, 0, 0, 0, 5...

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a32d8b75_bb52a14b

python_inductive

0.4286

medium

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{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9,...

{ "uuid": "fe387089-26fc-41ac-b7f1-8fee2808c68b", "dataset_name": "nvarc", "llm_uri": "vllm-http://10.109.27.133:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 2}", "{\"name\": \"smart_permute\",...

{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...

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medium

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python_inductive

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python_inductive

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medium

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python_inductive

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medium

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python_inductive

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python_inductive

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medium

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python_inductive

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hard

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python_inductive

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easy

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python_inductive

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python_inductive

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medium

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python_inductive

0.4444

medium

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python_inductive

0.5

medium

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python_inductive

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medium

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python_inductive

0.6667

medium

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python_inductive

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python_inductive

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hard

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python_inductive

0.4444

medium

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python_inductive

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hard

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python_inductive

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hard

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python_inductive

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medium

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python_inductive

0.375

medium

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python_inductive

0.878

hard

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python_inductive

0.6667

medium

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python_inductive

0.4444

medium

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python_inductive

0.5455

medium

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python_inductive

0.5

medium

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python_inductive

0.6364

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