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-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.ML-KEM-SideChannel-Traces
ML-KEM Side Channel Traces
Dataset Description
This dataset contains power traces captured from the Post-Quantum Cryptography (PQC) ML-KEM implementation of the PQM4[1] library (commit: a24bb4b), running on an STM32 Nucleo-L4R5ZI development board equipped with an ARM Cortex-M4 processor.
The traces were collected using a Rohde & Schwarz RTC1002 100 MHz digital oscilloscope. The purpose of this dataset is to evaluate the ML-KEM implementation for side-channel… See the full description on the dataset page: https://huggingface.co/datasets/ai-eldorado/ML-KEM-SideChannel-Traces.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.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.FM-Pochi-32B-Reasoning-Tracesnpcsh-traces
enpisi-coder RL dataset
Judge-rated npcsh agent traces and derived RL training data for the
enpisi-coder model family.
Produced by scripts/rate_traces.py (LLM-as-judge) and
scripts/analyze_ratings.py; built into SFT/DPO/GRPO/PPO splits by
scripts/train_from_csv.py.
Splits
Split
Rows
Description
rated_traces
38388
Per-trace judge scores (correctness, tool_selection, efficiency, clarity, partial_credit, composite)
tasks
100
Benchmark task definitions… See the full description on the dataset page: https://huggingface.co/datasets/npc-worldwide/npcsh-traces.chatgpt_filtered_sft_traces_context_awarecotempqa_for_sft_r1_traceshighway_fast_v0_reasoning_tracessonnet_filtered_sft_traces_simplified_reasoninggemini_filtered_sft_traces_simplified_reasoningchatgpt_filtered_sft_traces_simplified_reasoningsynthetic_cot_traces_cyphercotempqa_for_sft_4o_mini_summarized_r1_tracescotempqa_for_sft_r1_set_custom_incorrect_tracessynthetic_cot_traces_clintoncotempqa_for_sft_r1_set_custom_traces