datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
gr1_arms_waist-PlaceBottleToCabinetplace_bottlePlaceboBench
Dataset Card
Dataset Description
PlaceboBench is a hallucination benchmark for retrieval-augmented generation (RAG) in the pharmaceutical domain. It is based on real clinical questions submitted by healthcare professionals to Swedish and Norwegian drug information centers (SVELIC/RELIS), answered by seven state-of-the-art LLMs using retrieved European Medicines Agency (EMA) product information documents as context.
The dataset contains 69 questions spanning 23 drugs, with… See the full description on the dataset page: https://huggingface.co/datasets/blue-guardrails/PlaceboBench.place_box_in_cup_datasetThis dataset was created using LeRobot.
Dataset Structure
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"total_episodes": 10,
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"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/versag/place_box_in_cup_dataset.place_bottle_lid_oodThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/lbxa/place_bottle_lid_ood.place_bottle_lidThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"total_episodes": 5,
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"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/lbxa/place_bottle_lid.place_box_into_a_bowl_b_20260723_131048This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
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"wrist_roll.pos",
"gripper.pos"
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"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/Zach-zyz/place_box_into_a_bowl_b_20260723_131048.place_box_white_base_from_trayThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"splits": {
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"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/lyl472324464/place_box_white_base_from_tray.place_box_white_base_from_black_baseThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
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"robot_type": "aloha",
"total_episodes": 52,
"total_frames": 36400,
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"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/lyl472324464/place_box_white_base_from_black_base.clinical-placebo-contextual-expectation-modulation-mapping-v0.1What this dataset tests
Whether a model can map how context shifts expectation.
Required outputs
expectation_gain_or_penalty_-50_to_50
placebo_amplification_index_0_100
nocebo_risk_index_0_100
Typical failures
ignoring trust and ritual intensity
calling risk disclosure placebo
outputting scores without directional justification
Suggested prompt wrapper
System
You estimate contextual expectation modulation.
User
Baseline expectation{baseline_expectation_0_100}
Clinician… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-placebo-contextual-expectation-modulation-mapping-v0.1.clinical-placebo-biochemical-meaning-signal-decomposition-v0.1What this dataset tests
Whether a model can separate outcome signalinto biochemical and meaning-response components.
It penalizes
attributing everything to biology
ignoring belief and context
failing to admit uncertainty
Required outputs
projected_biochemical_effect_0_100
projected_meaning_response_0_100
residual_uncertainty_0_100
Suggested prompt wrapper
System
You decompose clinical outcomes into biochemical and meaning components.
User
Intervention{intervention}… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-placebo-biochemical-meaning-signal-decomposition-v0.1.clinical-quad-blinding-integrity-placebo-response-expectancy-drift-effect-inflation-v0.1Clinical Quad Blinding Placebo Expectancy Effect Inflation v0.1
Each row is a site week snapshot.
Core quad
Blinding integrityPlacebo responseExpectancy driftEffect inflation
Target
label_phase3_fail_risk_next_90d
Files
data/train.csvdata/tester.csvscorer.py
Evaluation
Run model on data/tester.csvReturn predictions row alignedScore with scorer.py
License
MIT