datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
appworld-qwen35-4b-9b-s_signal_6-epoch4-iter1
appworld-qwen35-4b-9b-s_signal_6-epoch4-iter1
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.3953125
Action score: 0.446875
Valid samples: 320/320
total-300-lambda02-s_signal_type6-jh-epoch4
total-300-lambda02-s_signal_type6-jh-epoch4
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.4046875
Action score: 0.4140625
Valid samples: 320/320
total-300-lambda00-s_signal_type6-jh-epoch4
total-300-lambda00-s_signal_type6-jh-epoch4
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.3875
Action score: 0.43125
Valid samples: 320/320
total-300-lambda05-s_signal_type6-jh-epoch4
total-300-lambda05-s_signal_type6-jh-epoch4
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.35703125
Action score: 0.4375
Valid samples: 320/320
total-300-lambda08-s_signal_type6-jh-epoch4
total-300-lambda08-s_signal_type6-jh-epoch4
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.38046875
Action score: 0.4078125
Valid samples: 320/320
total-300-lambda10-s_signal_type6-jh-epoch4
total-300-lambda10-s_signal_type6-jh-epoch4
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.36640625
Action score: 0.41875
Valid samples: 320/320
total-300noapp-lambda02-s_signal_type6-jh-epoch4
total-300noapp-lambda02-s_signal_type6-jh-epoch4
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.36640625
Action score: 0.409375
Valid samples: 320/320
total-300app-lambda02-s_signal_type6-jh-epoch4
total-300app-lambda02-s_signal_type6-jh-epoch4
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.3625
Action score: 0.4015625
Valid samples: 320/320
total-131-lambda02-residual-s_signal_type6-jh-epoch4
total-131-lambda02-residual-s_signal_type6-jh-epoch4
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.3765625
Action score: 0.4171875
Valid samples: 320/320
total-300-lambda02-s_signal_type6-jh-retry-epoch4
total-300-lambda02-s_signal_type6-jh-retry-epoch4
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.36953125
Action score: 0.3984375
Valid samples: 320/320
total-300-lambda02-s_signal_type6-jh-epoch4-reeval2
total-300-lambda02-s_signal_type6-jh-epoch4-reeval2
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.4125
Action score: 0.4265625
Valid samples: 320/320
total-300-lambda02-s_signal_type6-jh-epoch4-reeval1
total-300-lambda02-s_signal_type6-jh-epoch4-reeval1
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.38828125
Action score: 0.4234375
Valid samples: 320/320
appworld-qwen35-4b-9b-s_signal_5-epoch4-iter1-reeval1
appworld-qwen35-4b-9b-s_signal_5-epoch4-iter1-reeval1
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.41328125
Action score: 0.4359375
Valid samples: 320/320
appworld-qwen35-4b-9b-s_signal_5-epoch4-iter1
appworld-qwen35-4b-9b-s_signal_5-epoch4-iter1
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.41953125
Action score: 0.4515625
Valid samples: 320/320
qwen35-4b-filter-s_signal5-200-qwen38-27b-newprompt-4k-epoch4
qwen35-4b-filter-s_signal5-200-qwen38-27b-newprompt-4k-epoch4
Portable process-evaluation output. metadata.json is the lightweight source
for aggregate results; the JSONL files are directly loadable; and
artifacts.tar.gz losslessly preserves the original run directory.
Reasoning score: 0.3890625
Action score: 0.4359375
Valid samples: 320/320
russian-road-signs
Датасет размеченных знаков
Датасет размеченных дорожных знаков для задач компьютерного зрения и детекции объектов.
Загрузка
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="Dognellaf/russian-road-signs",
repo_type="dataset",
local_dir="./russian-road-signs"
)
Описание
Датасет содержит размеченные вручную кадры из видеозаписей с российскими дорожными знаками. Разметка в формате YOLO.
Изображений: 43 851 (JPEG)… See the full description on the dataset page: https://huggingface.co/datasets/Dognellaf/russian-road-signs.bit-signal-store
Bit Signal Store
A shared, append-only cache of raw time-series model outputs and OHLCV
prices, used by the Backtest Lab
Space.
The one rule
This store holds raw model outputs and prices. It never holds trade
decisions. No entries, no exits, no position sizes, no P&L. Trading rules,
costs, slippage and sizing are applied live, per request, by the Backtest
Lab's engine. That separation is what lets many different strategies be
compared against the same model… See the full description on the dataset page: https://huggingface.co/datasets/The-Bit-Trading-Company/bit-signal-store.world-signals
World Signals — a daily cross-country snapshot of attention
One folder per day under data/YYYY-MM-DD/, and the same files copied to latest/.
Built every morning (JST) by the EmpireOS world model. Nothing is generated by a model; every row is a measurement from a public source.
file
what
source
search_trends.csv
rising searches, 30 countries, with approximate traffic and the headline that drove them
Google Trends daily RSS
podcast_charts.csv
top-100 podcasts, 30… See the full description on the dataset page: https://huggingface.co/datasets/Lilambd/world-signals.popsign-images
PopSign Images Dataset
This dataset contains frame sequences extracted from PopSign ASL (American Sign Language) video clips, organized for sign language recognition tasks.
Dataset Description
The PopSign dataset consists of short video clips of isolated ASL signs. This version provides pre-extracted image frames from each video clip, suitable for training image-based or video-based models for sign language recognition.
Subsets
The dataset contains two subsets:… See the full description on the dataset page: https://huggingface.co/datasets/sign/popsign-images.sign-bibles
bible-nlp/sign-bibles
This dataset is still being generated and currently includes only test files
This dataset contains sign language videos from the Digital Bible Library (DBL), processed for machine learning applications. The dataset is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0).
Dataset Structure
Each sample contains:
["mp4"] the original video
["json"] Metadata, including bible reference, copyright information… See the full description on the dataset page: https://huggingface.co/datasets/bible-nlp/sign-bibles.traffic-sign-bench
Traffic Sign Bench
Official per-sign SUMO maps for TrafficRuleBench: real Moscow OSM
layouts, 25 signs, 2500 maps. Protocol size is
80 train + 20 test maps per sign.
Road geometry is derived from OpenStreetMap
© OpenStreetMap contributors and is released under ODbL 1.0.
Download
All scenes land under data/scenes/<sign>/<scene_id>/, which is what eval
expects:
huggingface-cli download emb-ai/traffic-sign-bench \
--repo-type dataset \… See the full description on the dataset page: https://huggingface.co/datasets/emb-ai/traffic-sign-bench.SIGNAL
SIGNAL
Dataset for Semantic and Inferred Grammar Neurological Analysis of Language
License: CC BY 4.0
Authors
Anna Komissarenko1,2,*,
Ekaterina Voloshina1,
Anastasia Cheveleva2,
Ilia Semenkov1,2,
Oleg Serikov3,
Alex Ossadtchi1,2,4,*
1 AIRI, Moscow, Russia2 Higher School of Economics, Moscow, Russia3 Center of Excellence for Generative AI, KAUST, KSA4 LIFT, Life Improvement by Future Technologies Institute, Moscow, Russia
*Corresponding authors… See the full description on the dataset page: https://huggingface.co/datasets/ContributorsSIGNAL/SIGNAL.telegram-financial-signalsv2
Financial Trading Signals Sentiment Dataset
Overview
This dataset contains 4,664 trading signals extracted from Telegram group chats, focused on financial instruments such as Forex pairs, commodities (Gold, Silver), stocks, and indices. Each signal is labeled with a sentiment value for use in financial sentiment analysis and machine learning applications.
Data Description
Each record represents a trading signal and includes fields for symbol, sentiment (both… See the full description on the dataset page: https://huggingface.co/datasets/ZombitX64/telegram-financial-signalsv2.gspc-signed-boards
GSPC signed boards — per-axis run records
SWIFT census (live): https://councilof.ai/api/swift
XRPL reader (live): https://councilof.ai/api/xrpl
Signed board archive. Printer language only.
Not a certificate. Hub is a printer of live GET, not a second engine. Fetch fail → UNCHECKABLE.
The live board is the authority
GET https://councilof.ai/api/gspc — quote totals.public_count. This Hub card is a printer of that GET, never a second
engine. If the fetch fails… See the full description on the dataset page: https://huggingface.co/datasets/csoai/gspc-signed-boards.clawhub-security-signals
ClawHub Security Signals
🦀 ClawHub | 📝 OpenClaw Blog | 🤗 Hugging Face Blog | 📄 Paper | 📄 Pre-Print
ClawHub Security Signals is a sanitized, MIT-licensed security-signals dataset for public OpenClaw agent skills. It captures how an agent-skill registry evaluates trust, provenance, bundled code, and scanner evidence at scale.
This dataset was presented in the paper ClawHub Security Signals: When VirusTotal, Static Analysis, and SkillSpector Disagree.
Paper snapshot: this… See the full description on the dataset page: https://huggingface.co/datasets/OpenClaw/clawhub-security-signals.german-traffic-sign-detection
Dataset Labels
['animals', 'construction', 'cycles crossing', 'danger', 'no entry', 'pedestrian crossing', 'school crossing', 'snow', 'stop', 'bend', 'bend left', 'bend right', 'give way', 'go left', 'go left or straight', 'go right', 'go right or straight', 'go straight', 'keep left', 'keep right', 'no overtaking', 'no overtaking -trucks-', 'no traffic both ways', 'no trucks', 'priority at next intersection', 'priority road', 'restriction ends', 'restriction ends -overtaking… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/german-traffic-sign-detection.signed-measurement-records
Signed measurement records
Council of AI measurement record. Measurement, not certification.
Living board: 22 axis · 22 measured. Jail is a measured floor (TIE), not a 16th pane.
Hub cells: GET https://councilof.ai/api/hub-cards → re-GET counts.* (typed Hub triples SUPERSEDED) (third-party Hub — not the board). Verify free: https://councilof.ai/gspc-verify
Do not freeze a score table here. Older axis counts are superseded by the living GET.
Jail is a measured floor, not a 16th… See the full description on the dataset page: https://huggingface.co/datasets/csoai/signed-measurement-records.sign-dictionary-isl
Dataset Card for Sign Dictionary Dataset
This dataset contains Indian sign language videos with one gloss per video. There are 3077 seperate lex items or glosses included.
The dataset is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0).
Dataset Details
There is a total of 2.5 hours of sign videos.
How to use
import webdataset as wds
import numpy as np
import json
import tempfile
import os
import cv2
def… See the full description on the dataset page: https://huggingface.co/datasets/bridgeconn/sign-dictionary-isl.signed-fleet-boards-v2
Signed fleet boards v2
SWIFT census (live): https://councilof.ai/api/swift
XRPL reader (live): https://councilof.ai/api/xrpl
Signed fleet boards v2 archive. VALID verify required.
Not a certificate. Hub is a printer of live GET, not a second engine. Fetch fail → UNCHECKABLE.
The live board is the authority
GET https://councilof.ai/api/gspc — quote totals.public_count. This Hub card is a printer of that GET, never a second
engine. If the fetch fails the… See the full description on the dataset page: https://huggingface.co/datasets/csoai/signed-fleet-boards-v2.vertical-signage
Vertical Signage
Dataset de señalización vertical con dos tareas independientes.
Detección por bounding boxes
El dataset YOLO está en detection/:
detection/images/
detection/labels/
detection/splits/train.txt
detection/splits/val.txt
detection/splits/test.txt
detection/dataset.yaml
Clases: regulamentacao, advertencia, indicacao y percurso.
Calidad
Clasificación boa/ruim en quality/, separada por train, val y test.
Anotaciones originales… See the full description on the dataset page: https://huggingface.co/datasets/paulinavelasquez/vertical-signage.