datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ps4mas-castle-oracle
PS4MAS CASTLE oracle
Current CASTLE / oracle experiment catalog
This generated section is authoritative. Older tables above are historical.
Each experiments/<name>/ contains unified episodes.parquet, meta.json, and an unmodified summary.json when available. Raw full-hop traces.jsonl and run_config.json are separate files; scores are never injected into raw traces.
Partial snapshots have immutable content-derived names. Existing experiments are skipped unless… See the full description on the dataset page: https://huggingface.co/datasets/yinita/ps4mas-castle-oracle.ps4mas-ps-oracle
PS4MAS PS oracle
Current PS / oracle experiment catalog
This generated section is authoritative. Older tables above are historical.
Each experiments/<name>/ contains unified episodes.parquet, meta.json, and an unmodified summary.json when available. Raw full-hop traces.jsonl and run_config.json are separate files; scores are never injected into raw traces.
Partial snapshots have immutable content-derived names. Existing experiments are skipped unless… See the full description on the dataset page: https://huggingface.co/datasets/yinita/ps4mas-ps-oracle.compare_oraclepolymarket-canary-tape
polymarket-canary-tape
Continuous tape from Scribe (Bot E / bot_e_recorder), a single always-on VPS node. Captures co-located CEX trades and Polymarket market-channel WebSocket events over a fixed UTC window for microstructure and lead-lag research.
Where this came from: released alongside polymarket-bot-lab
(11 open-source Polymarket trading bot candidates, Apache-2.0) by the team behind
OracleMangle, which builds dispute-risk scoring for
prediction-market questions. Both… See the full description on the dataset page: https://huggingface.co/datasets/oraclemangle/polymarket-canary-tape.mo-lottery-oracleR2E-Gym-Subset-Oraclescryfall-oracle-cards
Scryfall Oracle Cards
Raw bulk data dump of scryfall oracle-cards available here
A JSON file containing one Scryfall card object for each Oracle ID on Scryfall. The chosen sets for the cards are an attempt to return the most up-to-date recognizable version of the card.
Usage
from datasets import load_dataset
dataset = load_dataset("nishtahir/scryfall-oracle-cards")
bottleneck-oracle-graphsif_oracle_sft
IF Oracle SFT
Oracle instruction-following SFT data built by rejection sampling from
willhx/Qwen3-8B-Base-IF.
How it was made
Policy: willhx/Qwen3-8B-Base-IF (a trained IF RL checkpoint).
Prompts: the full allenai/IF_multi_constraints_upto5-derived training set
(IF_multi_constraints_upto5_ifbench_en, 88,832 prompts covered).
Sampling: 8 responses per prompt, temperature 1.0, max 8192 response tokens
(rollout via slime + SGLang, --debug-rollout-only).
Reward:… See the full description on the dataset page: https://huggingface.co/datasets/willhx/if_oracle_sft.SWE-smith-oracle-4k-context-1k-diffOracleEconLab-Oracle-Incentives-v1
OracleEconLab Oracle Incentives and Accountability v1
This review-sized draft turns fixed, public UMA protocol evidence into complete
or right-censored economic lifecycles. It is a release candidate for the paper
Who Verifies Decentralized Information? Economic Incentives, Accountability,
and Trustworthy AI Across Oracle Protocols.
Dataset configurations
Configuration
Rows
Observation unit
Purpose
abc_dictionary
28
economic variable
Formulas, units… See the full description on the dataset page: https://huggingface.co/datasets/Oracle4CEG/OracleEconLab-Oracle-Incentives-v1.SWE-bench_Lite_oracle_easyfrom datasets import load_dataset
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-4B")
ds = load_dataset("princeton-nlp/SWE-bench_Verified", split="test")
ds_lite = load_dataset("princeton-nlp/SWE-bench_Lite_oracle", split="test")
def count_tokens(text):
return len(tokenizer.encode(text))
ds_easy = ds.filter(lambda x: x["difficulty"] == "<15 min fix")
ds_easy_lite = ds_lite.filter(lambda x: x["instance_id"] in ds_easy["instance_id"])… See the full description on the dataset page: https://huggingface.co/datasets/rasdani/SWE-bench_Lite_oracle_easy.mo-lottery-oracle-ancestor-diffRoboLab-FoodPacking1Cans-soft-capx-oracle-260812This dataset was created using LeRobot.
Dataset Description
Simulated manipulation demonstrations generated in RoboLab (Isaac Lab) by a deterministic waypoint oracle with privileged state access (no cameras used for control). Task: FoodPacking1Cans, difficulty level soft.
What this is
Part of a 3 task x 3 difficulty grid of oracle datasets. The oracle replays a fixed waypoint recipe solved with rest-cost IK (pyroki) and is rate-limited to match the arm-speed cap… See the full description on the dataset page: https://huggingface.co/datasets/DAVIAN-Robotics/RoboLab-FoodPacking1Cans-soft-capx-oracle-260812.RoboLab-MustardInRightBin-hard-capx-oracle-260812This dataset was created using LeRobot.
Dataset Description
Simulated manipulation demonstrations generated in RoboLab (Isaac Lab) by a deterministic waypoint oracle with privileged state access (no cameras used for control). Task: MustardInRightBin, difficulty level hard.
What this is
Part of a 3 task x 3 difficulty grid of oracle datasets. The oracle replays a fixed waypoint recipe solved with rest-cost IK (pyroki) and is rate-limited to match the arm-speed cap… See the full description on the dataset page: https://huggingface.co/datasets/DAVIAN-Robotics/RoboLab-MustardInRightBin-hard-capx-oracle-260812.cot-oracle-convqa-chunked
2026-05-12 — target_response_distractor column added
A second per-row column was added: target_response_distractor — a context-aware plausible-but-wrong alternative to target_response, generated by Haiku 4.5 with explicit instructions to:
match the length (token count) of the correct answer within ±10%
mirror the structure (markdown, opening phrase, sentence count, bold/list markup)
match the vocabulary register (math/ethics/etc.)
flip exactly one substantive fact (verdict, number… See the full description on the dataset page: https://huggingface.co/datasets/cds-jb/cot-oracle-convqa-chunked.RoboLab-MustardInRightBin-medium-capx-oracle-260812This dataset was created using LeRobot.
Dataset Description
Simulated manipulation demonstrations generated in RoboLab (Isaac Lab) by a deterministic waypoint oracle with privileged state access (no cameras used for control). Task: MustardInRightBin, difficulty level medium.
What this is
Part of a 3 task x 3 difficulty grid of oracle datasets. The oracle replays a fixed waypoint recipe solved with rest-cost IK (pyroki) and is rate-limited to match the arm-speed… See the full description on the dataset page: https://huggingface.co/datasets/DAVIAN-Robotics/RoboLab-MustardInRightBin-medium-capx-oracle-260812.dynavla-libero-goal-t7-frictionloss-oracle-stall-unseenThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "panda",
"total_episodes": 20,
"total_frames": 2369,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 20,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/vpraise00/dynavla-libero-goal-t7-frictionloss-oracle-stall-unseen.RoboLab-FoodPacking1Cans-hard-capx-oracle-260812This dataset was created using LeRobot.
Dataset Description
Simulated manipulation demonstrations generated in RoboLab (Isaac Lab) by a deterministic waypoint oracle with privileged state access (no cameras used for control). Task: FoodPacking1Cans, difficulty level hard.
What this is
Part of a 3 task x 3 difficulty grid of oracle datasets. The oracle replays a fixed waypoint recipe solved with rest-cost IK (pyroki) and is rate-limited to match the arm-speed cap… See the full description on the dataset page: https://huggingface.co/datasets/DAVIAN-Robotics/RoboLab-FoodPacking1Cans-hard-capx-oracle-260812.RoboLab-FoodPacking1Cans-medium-capx-oracle-260812This dataset was created using LeRobot.
Dataset Description
Simulated manipulation demonstrations generated in RoboLab (Isaac Lab) by a deterministic waypoint oracle with privileged state access (no cameras used for control). Task: FoodPacking1Cans, difficulty level medium.
What this is
Part of a 3 task x 3 difficulty grid of oracle datasets. The oracle replays a fixed waypoint recipe solved with rest-cost IK (pyroki) and is rate-limited to match the arm-speed cap… See the full description on the dataset page: https://huggingface.co/datasets/DAVIAN-Robotics/RoboLab-FoodPacking1Cans-medium-capx-oracle-260812.simpler-sim-oracle-action-interventions
SIM Oracle Working Interventions v1
This is the simulator-oracle edition of the action-patching pipeline. It
uses privileged simulator metrics and is not deployment eligible. It does not
use metric estimators. The repository also describes the non-oracle,
metric-estimator path; these videos must not be represented as evidence that
those estimators recovered the same signals.
The dataset contains 132 of 132 exposed paired
episodes (complete). Every row
has a full baseline MP4… See the full description on the dataset page: https://huggingface.co/datasets/lsnu/simpler-sim-oracle-action-interventions.dynavla-libero-goal-t7-frictionloss-oracle-stall-valThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "panda",
"total_episodes": 20,
"total_frames": 2223,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 20,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/vpraise00/dynavla-libero-goal-t7-frictionloss-oracle-stall-val.cot-oracle-truthfulqa-hint-admission-unverbalized
TruthfulQA Hint Admission — Unverbalized
Eval dataset for the CoT Oracle project. Tests whether an activation oracle can detect hint influence from model internals when the model does not verbalize the hint in its chain-of-thought.
What is this?
Qwen3-8B is given TruthfulQA multiple-choice questions with planted hints (correct or wrong). This dataset contains only the rollouts where the model did not mention the hint in its reasoning — the oracle must read… See the full description on the dataset page: https://huggingface.co/datasets/ceselder/cot-oracle-truthfulqa-hint-admission-unverbalized.RoboLab-MustardInRightBin-soft-capx-oracle-260812This dataset was created using LeRobot.
Dataset Description
Simulated manipulation demonstrations generated in RoboLab (Isaac Lab) by a deterministic waypoint oracle with privileged state access (no cameras used for control). Task: MustardInRightBin, difficulty level soft.
What this is
Part of a 3 task x 3 difficulty grid of oracle datasets. The oracle replays a fixed waypoint recipe solved with rest-cost IK (pyroki) and is rate-limited to match the arm-speed cap… See the full description on the dataset page: https://huggingface.co/datasets/DAVIAN-Robotics/RoboLab-MustardInRightBin-soft-capx-oracle-260812.dynavla-libero-goal-t7-frictionloss-oracle-gated-trainThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "panda",
"total_episodes": 160,
"total_frames": 12720,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 20,
"splits": {
"train": "0:160"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/vpraise00/dynavla-libero-goal-t7-frictionloss-oracle-gated-train.dynavla-libero-goal-t7-frictionloss-oracle-gated-valThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "panda",
"total_episodes": 20,
"total_frames": 1544,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 20,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/vpraise00/dynavla-libero-goal-t7-frictionloss-oracle-gated-val.dynavla-libero-goal-t7-frictionloss-oracle-stall-trainThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "panda",
"total_episodes": 160,
"total_frames": 18035,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 20,
"splits": {
"train": "0:160"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/vpraise00/dynavla-libero-goal-t7-frictionloss-oracle-stall-train.ai-oracle-2026oracle-results-olmo2-1b-qer-matched-v2lego_stack_openpi_oracle_success_flat_goalimage_lerobot_v3_1000This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "ur5_wsg50_lego_stack",
"total_episodes": 1000,
"total_frames": 562160,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 20,
"splits": {
"train": "0:1000"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/ajaysri/lego_stack_openpi_oracle_success_flat_goalimage_lerobot_v3_1000.