datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
FrontierOR
Frontier-OR Benchmark
A benchmark of 179 literature-grounded OR tasks, each packaged as a
self-contained reproducible unit: natural-language problem description,
mathematical formulation, reference Gurobi implementation, test instances,
reference solutions, and an automated feasibility checker.
Designed for evaluating LLMs on the end-to-end task of turning a research
paper's OR problem into runnable, verifiably-correct optimization code.
Dataset size note
This… See the full description on the dataset page: https://huggingface.co/datasets/SmartOR/FrontierOR.Amazon_Sample_Metadata_2023
Dataset Card for Dataset Name
Original datasets can be found on: https://amazon-reviews-2023.github.io/
Dataset Details
This dataset was made as sample of several datasets from the link above.
Dataset Description
This dataset is a curated sample derived from seven filtered Amazon product category datasets(Amazon All Beauty, Amazon Fashion, Sports and Outdoors,
Health and Personal Care, Amazon Clothing Shoes and Jewlery,
Baby Products and Beauty and Personal… See the full description on the dataset page: https://huggingface.co/datasets/smartcat/Amazon_Sample_Metadata_2023.smart-home-energy-prediction
Smart Home Appliance Energy Prediction
Dataset Summary
A public, viewer-ready educational challenge dataset. Host-only scoring data and hidden targets are excluded.
Splits
Split
Examples
Description
train
15,882
Labeled training data
test
3,853
Public inputs with withheld target labels or annotations
Data Fields
Field
Type
date
object
lights
int64
T1
float64
RH_1
float64
T2
float64
RH_2
float64… See the full description on the dataset page: https://huggingface.co/datasets/hoangbang/smart-home-energy-prediction.mlb-player-props
SmartStake MLB Player Prop Odds and Results (2026)
Minute-by-minute MLB player prop odds from ~75 sportsbooks and exchanges over the
2026 season, with the graded outcome of each prop attached. Every row is one
book's price for one selection at one minute. This is the raw material behind
the study "Sharpest Sportsbooks for MLB Player Props".
Coverage
Odds: late March 2026 through early July 2026.
Graded outcomes: March through June (games that had settled at… See the full description on the dataset page: https://huggingface.co/datasets/SmartStake/mlb-player-props.attackdex-paldeaSingle pokemon datasets containing all the attacks (from levelling or TMs) learnable by the relative monster. All the data refer to the Paldea region and they come from the project discussed in https://medium.com/@virtualmartire/i-built-an-algorithm-that-finds-the-optimal-pokemon-team-01ea152824a9.
smart_contractlm-eval-results-bunnycore-SmartToxic-7B-private
Dataset Card for Evaluation run of bunnycore/SmartToxic-7B
Dataset automatically created during the evaluation run of model bunnycore/SmartToxic-7B
The dataset is composed of 62 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An… See the full description on the dataset page: https://huggingface.co/datasets/nyu-dice-lab/lm-eval-results-bunnycore-SmartToxic-7B-private.tabula-muris-senis-bladder-smartseq2
Bladder Tissue from Tabula Muris Senis
Tabula Muris Senis is a mammalian aging single-cell gene expression dataset, downloaded from https://cellxgene.cziscience.com/collections/0b9d8a04-bb9d-44da-aa27-705bb65b54eb. This dataset represents the Bladder tissue, using the SmartSeq2 full-length mRNA library preparation method for single cells.
Code to download and process this dataset is available in: https://github.com/seanome/2025-longevity-x-ai-hackathon
Ageing is characterized by a… See the full description on the dataset page: https://huggingface.co/datasets/longevity-db/tabula-muris-senis-bladder-smartseq2.indian-government-schemes-2025
Indian Government Schemes Dataset 2026
Dataset Description
The most comprehensive structured dataset of Indian central and state government schemes — 4,693 schemes across all ministries and states, with machine-readable eligibility fields.
Maintained by SmartDuke Technologies · Coimbatore, Tamil Nadu, India
This dataset powers SchemeFit — India's government scheme finder for citizens and businesses.
What Makes This Different
Most existing Indian… See the full description on the dataset page: https://huggingface.co/datasets/smartduketech/indian-government-schemes-2025.ovos-wake-word-bench-picovoice-smart-mirror
OVOS wake_word bench — picovoice-smart-mirror
Per-clip detection decisions predictions of the registered
OVOS Plugin Arena
wake_word fighters over
Picovoice/wake-word-benchmark.
One dedicated repo per modality; one dataset split per language; one JSONL
file per fighter under predictions/<lang>/<competitor_id>.jsonl. Rows follow
the arena §3.2 contract (pinned dataset_revision, plugin_version,
latency_ms). Produced by the reproducible benchmark script in the arena repo;
the… See the full description on the dataset page: https://huggingface.co/datasets/OpenVoiceOS/ovos-wake-word-bench-picovoice-smart-mirror.Amazon_Sports_and_Outdoors_2023
Dataset Card for Dataset Name
Original dataset can be found on: https://amazon-reviews-2023.github.io/
Dataset Details
This dataset is downloaded from the link above, the category Sports and Outdoors meta dataset.
Dataset Description
This dataset is a refined version of the Amazon Sports and Outdoors 2023 meta dataset, which originally contained product metadata for sports and outdoors products that are sold on Amazon. The dataset includes detailed information… See the full description on the dataset page: https://huggingface.co/datasets/smartcat/Amazon_Sports_and_Outdoors_2023.egocentric-manipulation-sample
SmartDeer — Egocentric Human Demonstration Data (Public Sample)
SmartDeer collects egocentric human demonstration data for embodied AI: real operators, real tasks, real environments. No teleoperation rigs, no lab mock-ups, no actors.
This repository is a small public sample, published so you can inspect our capture quality, annotation schema and file conventions. Production data is delivered under commercial terms.
This sample
Task twist_cap — bimanual bottle-cap… See the full description on the dataset page: https://huggingface.co/datasets/SmartDeer/egocentric-manipulation-sample.Amazon_Clothing_Shoes_and_Jewelry_2023
Amazon Clothing Shoes and Jewelry 2023 Dataset
Original dataset can be found on: https://amazon-reviews-2023.github.io/
Dataset Details
This dataset is downloaded from the link above, the category Clothing Shoes and Jewelry meta dataset.
Dataset Description
The Amazon Clothing Shoes and Jewelry 2023 dataset provides information on products from a diverse ranger of categories, including main attributes like ratings, price, and desciptions.
The table below… See the full description on the dataset page: https://huggingface.co/datasets/smartcat/Amazon_Clothing_Shoes_and_Jewelry_2023.mlb-lineup-reactions
SmartStake MLB Lineup Reactions (2026)
Full-resolution sportsbook odds movements around every Underdog MLB lineup post of
the 2026 season, for the six player-prop markets a batting-order change moves. Every
row is one book's price for one selection at one moment, in a window around a lineup
drop. This is the raw material behind the study
"MLB Lineup Drops", a companion to
SmartStake MLB Player Prop Odds and Results.
Coverage
Events: 2,456 Underdog MLB lineup… See the full description on the dataset page: https://huggingface.co/datasets/SmartStake/mlb-lineup-reactions.llm-smartrouter-benchmark
LLM SmartRouter & Agent Highway Latency & Cost Benchmark (v1.4.0)
Empirical performance benchmark dataset comparing direct model endpoints (OpenAI, Anthropic Claude, Google Gemini) against the PixelRouter / BLUN SmartRouter proxy layer and Autonomous Agent Web Highway (https://api.pixeloffice.eu/v1).
v1.4.0 Benchmark Highlights
Anthropic Claude Messages API: Sub-35ms proxy routing for native /v1/messages payloads with 94%+ cost savings.
Machine Web Highway… See the full description on the dataset page: https://huggingface.co/datasets/pixeloffice/llm-smartrouter-benchmark.Smart_Contract_HF_Tokenized
Dataset Card for "Smart_Contract_HF_Tokenized"
More Information needed
miniloop-o-smart60k-moss16rvq
MiniLoop-O Smart Full 1M — MOSS 16-RVQ preprocessed
Source: {SOURCE_REPO}
Rows: 1,000,000 (T2A 350k / A2A 250k / I2T 400k).
Old MiniMind-O Mimi targets were decoded and re-encoded with {MOSS_CODEC_ID} into 16-RVQ MOSS codes.
Binary fields are uint16 little-endian and reshape to (frames,16).
Smart_Home_Energy_UsagePrediction-Smartphone-Addiction-Submission-V2Here's the enhanced version, honest summary of what actually moved the needle:
What improved it:
Feature engineering was the real driver: missingness indicators for every column (missingness itself carries signal here), plus ratio/interaction features like social_to_screen, sleep_deficit, weekday_weekend_diff, screen_per_age, etc.
LightGBM with these new features: OOF AUC 0.9628 (up from 0.9620).
Result:
submission_v2.csv, same valid format (296,302 rows… See the full description on the dataset page: https://huggingface.co/datasets/Qamro/Prediction-Smartphone-Addiction-Submission-V2.omnimcp_smartenergy_iot_teaser
🔬 INSPECT THE DEEPSEEK-R1 REASONING CHAIN LIVE:
Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20!
📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_smartenergy_iot_teaser.smart_market_prototype_2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "omx_follower",
"total_episodes": 300,
"total_frames": 378133,
"total_tasks": 30,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:300"
},
"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/kdy93/smart_market_prototype_2.egostation-smartphone-raw-v1
EgoStation Smartphone Raw Catalog v1
Pre-processing catalog of smartphone egocentric video recordings. Most
episodes are exposed as metadata only; a small set of representative
sample episodes are shipped with full raw video + derived data so
partners can inspect data quality before signing up for the full corpus.
Built: 2026-05-12T19:05Z
Total episodes: 5962
Total recorded time: ~693.9 hours
Format: Apache Parquet (catalog) + raw media for sample episodes
Maintained by: ZenO Labs… See the full description on the dataset page: https://huggingface.co/datasets/zeno-labs/egostation-smartphone-raw-v1.so101_test2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101",
"total_episodes": 2,
"total_frames": 1782,
"total_tasks": 1,
"total_videos": 4,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:2"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/smartrichard/so101_test2.smart_market_v1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "omx_follower",
"total_episodes": 180,
"total_frames": 153779,
"total_tasks": 12,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:180"
},
"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/kdy93/smart_market_v1.smartgridbench-review-artifact
SmartGridBench Review Artifact
This anonymous reviewer artifact contains the paper-facing SmartGridBench scenario and evidence tables for a NeurIPS 2026 Evaluations & Datasets submission.
SmartGridBench evaluates tool-using language agents on Smart Grid transformer-maintenance workflows. The package includes 36 canonical scenario definitions (31 hand-authored plus 5 promoted generated scenarios), 5 negative schema fixtures, paper-grade evidence registries, summary tables, a compact… See the full description on the dataset page: https://huggingface.co/datasets/garn-garn/smartgridbench-review-artifact.smart-logistics-delay-split-v0
Smart Logistics delay split v0 (frozen)
The 1,000-row Kaggle Smart Logistics Supply Chain Dataset (user ziya07, listed as CC0 on
https://www.kaggle.com/datasets/ziya07/smart-logistics-supply-chain-dataset when read on
2026-09-03) together with the exact 800/200 ShareGPT-style JSONL split on which
Yuchiwang02/Llama-3.2-1B-DelaySentinel
was fine-tuned in September 2025.
What this dataset makes possible
A complete, worked example of label leakage, small enough to… See the full description on the dataset page: https://huggingface.co/datasets/Yuchiwang02/smart-logistics-delay-split-v0.egostation-smartphone-lerobot-sample
EgoStation Smartphone — playable sample
Five short first-person clips of everyday household work, one per task, laid out
in LeRobot v2.1 so they can be scrubbed directly in the
dataset visualiser.
This is a preview, not the corpus. It exists because
zeno-labs/egostation-smartphone-raw-v1
publishes its samples as loose video.mp4 / pose_keypoints.json files, which
no viewer knows how to open. Same footage, rearranged so it plays.
What is in it
Episodes… See the full description on the dataset page: https://huggingface.co/datasets/zeno-labs/egostation-smartphone-lerobot-sample.Amazon_Products_2023Amazon_Baby_Products_2023
Dataset Card for Dataset Name
Original dataset can be found on: https://amazon-reviews-2023.github.io/
Dataset Details
This dataset is downloaded from the link above, the category Baby Products meta dataset.
Dataset Description
This dataset is a refined version of the Amazon Baby Products 2023 meta dataset, which originally contained baby product metadata for product that are sold on Amazon. The dataset includes detailed information about products such as their… See the full description on the dataset page: https://huggingface.co/datasets/smartcat/Amazon_Baby_Products_2023.smart_market_prototype_4This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "omx_follower",
"total_episodes": 20,
"total_frames": 21971,
"total_tasks": 2,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"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/kdy93/smart_market_prototype_4.