datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
arc-agi-3-schema-traces
ARC-AGI-3 Schema Gameplay Trajectories
This release contains 50 ARC-AGI-3 gameplay trajectories and a dependency-free
scoring utility. The trajectories are split evenly across two collections:
gpt_5_6_sol/: 25 GPT-5.6 Sol trajectories.
claude_fable_opus/: 25 trajectories from Claude Opus 4.8 and Claude Fable 5.
Each trajectory directory includes run.json, a streamed events.jsonl event
log, sanitized session data, snapshots, and the shareable text/image files
produced during… See the full description on the dataset page: https://huggingface.co/datasets/schema-harness/arc-agi-3-schema-traces.arc-agi-3-schema-traces
ARC-AGI-3 Schema Gameplay Trajectories
This release contains 50 ARC-AGI-3 gameplay trajectories and a dependency-free
scoring utility. The trajectories are split evenly across two collections:
gpt_5_6_sol/: 25 GPT-5.6 Sol trajectories.
claude_fable_opus/: 25 trajectories from Claude Opus 4.8 and Claude Fable 5.
Each trajectory directory includes run.json, a streamed events.jsonl event
log, sanitized session data, snapshots, and the shareable text/image files
produced during… See the full description on the dataset page: https://huggingface.co/datasets/JBrightmanAI/arc-agi-3-schema-traces.arc_agi_2_human_testing
ARC-AGI-2 Human testing data
This file contains data from human testing sessions on ARC-AGI tasks.
Each row represents a single test attempt by a human participant on a specific task-test pair in the "Public Train" or "Public Eval" ARC-AGI-2 datasets. Not all tasks in the released "Public Train"
sets were tested, so these results are not comprehensive. This data does not include tasks from "Semi Private Evaluation" or "Private Evaluation"
Column Descriptions… See the full description on the dataset page: https://huggingface.co/datasets/arcprize/arc_agi_2_human_testing.arc-agi-3-schema-traces-gpt56
ARC-AGI-3 Schema Gameplay Trajectories — GPT-5.6 Sol
This release contains every gpt-5.6-sol gameplay trajectory produced on our
cluster with the world_model_v5 agent harness — 100 runs across the 25 public
ARC-AGI-3 games — plus a dependency-free scoring utility.
It is the GPT-5.6 Sol member of a family built by the same harness and the same
sanitizer, so trajectories can be compared game by game:
arc-agi-3-schema-traces-fable5 — Claude Fable 5, best per game (25)… See the full description on the dataset page: https://huggingface.co/datasets/guanning/arc-agi-3-schema-traces-gpt56.arc-agi-3-schema-traces-opus48
ARC-AGI-3 Schema Gameplay Trajectories — Claude Opus 4.8
This release contains the best claude-opus-4-8 / max trajectory for each of
the 25 public ARC-AGI-3 games, plus a dependency-free scoring utility. It is the
Opus 4.8 counterpart of
arc-agi-3-schema-traces-fable5,
produced by the same agent harness (world_model_v5) and the same sanitizer, so
the two collections can be compared game by game.
Each trajectory directory includes run.json, a streamed events.jsonl event
log… See the full description on the dataset page: https://huggingface.co/datasets/guanning/arc-agi-3-schema-traces-opus48.Nemotron-RL-ARC-AGI-v1-prompt-only
Nemotron-RL-ARC-AGI-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-ARC-AGI-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.
null_or_empty_rows.md: row indexes where prompt extraction… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-ARC-AGI-v1-prompt-only.Nemotron-SFT-ARC-AGI-v1-prompt-only
Nemotron-SFT-ARC-AGI-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-SFT-ARC-AGI-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.
null_or_empty_rows.md: row indexes where prompt extraction… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-SFT-ARC-AGI-v1-prompt-only.arc-agi-3-schema-traces-gpt56-xhigh
ARC-AGI-3 Schema Gameplay Trajectories — GPT-5.6 Sol (xhigh)
The best gpt-5.6-sol trajectory at xhigh reasoning effort for each of the
25 public ARC-AGI-3 games, produced with the world_model_v5 agent harness.
This release exists to make the cross-model comparison single-effort on all
sides. Its siblings are each one model at one effort, but the
gpt-5.6-sol collection in
arc-agi-3-schema-gameplay
is a mix of xhigh and max (16 games + 9 games), so it is not directly
comparable to… See the full description on the dataset page: https://huggingface.co/datasets/guanning/arc-agi-3-schema-traces-gpt56-xhigh.arc-agi