datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tartanaviation-atc-labels
TartanAviation ATC ASR Labels
Machine transcripts and confidence scores for
twangodev/tartanaviation-atc-adsb-utterances.
A 1:1 labels-only add-on (no audio): one row per source utterance, same shards and row order, keyed
by utterance_id.
531,050 labels · 184 shards · 100% coverage · ensemble ASR + weighted ROVER + ADS-B
callsign snap · ~326 human-reviewed. Built with readback.
Usage
Join 1:1 onto the source. Rows are aligned and in the same order:
from datasets… See the full description on the dataset page: https://huggingface.co/datasets/twangodev/tartanaviation-atc-labels.atc-tree10-runs
ATC tree10 runs
Training artifacts for the Abstract Token Curriculum (ATC) twin-random-tree (size-10) experiment:
a 2x2x2x2 factorial over loss (CE vs sum-of-log), reset_optimizer (on/off),
staging (threshold/monotone vs revisit), and uniform_prob (0.1/0.5), plus related arms.
Each subfolder is one run and contains:
checkpoint_latest.pt - full resumable state (weights + optimizer + curriculum position)
checkpoint_<n>.pt - epoch-stamped snapshot(s)
config.json - the run… See the full description on the dataset page: https://huggingface.co/datasets/seyedparsa/atc-tree10-runs.atcoder_abc_contests
Notification
Atcoder is selling this data now. If you are interested in accessing it please contact them.
Dataset Summary
This dataset aims to facilitate the creation of sophisticated, multi-turn dialogue datasets focused on coding
that could be used for training reasoning Large Language Models (LLMs), particularly for Supervised Fine-Tuning (SFT) and Knowledge Distillation techniques.
It also serves as a robust foundation for problem-solving in Large Language… See the full description on the dataset page: https://huggingface.co/datasets/Nan-Do/atcoder_abc_contests.pbs_item_atc_relationshipsagentsim-atc
AgentSim Agent-Trace Corpus (ATC)
Grounded reasoning traces of retrieval-augmented question-answering agents,
generated by the AgentSim platform. 103,567 reasoning steps spanning
three established IR benchmarks (Quasar-T 38,915 + CausalQA 36,192 +
MSMARCO 28,460), with 20,548 supervised query-document-answer triples
extracted for fine-tuning, and 199,968 unique retrieved documents.
Every reasoning step traces back to specific documents in the source
corpus, enabling step-level… See the full description on the dataset page: https://huggingface.co/datasets/searchsim/agentsim-atc.atcoder_initialpbs_atc_codesatc-conflict-detection-resolution-coherence-risk-v0.1What this repo is for
Detect when conflict resolution happens too late relative to detection.
Signals:
predicted time to conflict
resolution timing
separation margins
vectoring
altitude change
This predicts near-miss risk before separation loss.
ATCO2_full_filesatc-track-flightplan-coherence-risk-v0.1What this repo is for
Detect when aircraft tracks diverge from filed intent.
Useful for:
workload prediction
reroute cascade detection
sector complexity forecasting
safety analytics
Signals include:
heading deviation
altitude deviation
speed deviation
controller interventions
reason for deviation
atc-handoff-coordination-coherence-risk-v0.1What this repo is for
Detect when inter-sector coordination starts to fail.
Signals:
late handoffs
readback errors
coordination call load
boundary conflicts
rising delays
This flags brittleness before incidents.
atc-weather-routing-coherence-risk-v0.1What this repo is for
Detect when routing adaptation lags weather disruption.
Signals:
storm proximity
convective severity
reroute rate
holding patterns
delays
diversions
This predicts delay cascades across the ATC network.
ATCO2_full_with_ASRATCO2_with_ASRatc-sector-load-controller-capacity-coherence-v0.1What this repo is for
Detect when airspace sector load exceeds controller capacity.
Signals include:
aircraft count
conflict alerts
handoffs
staffing
workload
vectoring frequency
This predicts overload before incidents.
atcosim_corpus-tts-tagsatcoder_arc_contests
Notification
Atcoder is selling this data now. If you are interested in accessing it please contact them.
Dataset Summary
This dataset aims to facilitate the creation of sophisticated, multi-turn dialogue datasets focused on coding
that could be used for training reasoning Large Language Models (LLMs), particularly for Supervised Fine-Tuning (SFT) and Knowledge Distillation techniques.
It also serves as a robust foundation for problem-solving in Large Language… See the full description on the dataset page: https://huggingface.co/datasets/Nan-Do/atcoder_arc_contests.atcoder_agc_contests
Notification
Atcoder is selling this data now. If you are interested in accessing it please contact them.
Dataset Summary
This dataset aims to facilitate the creation of sophisticated, multi-turn dialogue datasets focused on coding
that could be used for training reasoning Large Language Models (LLMs), particularly for Supervised Fine-Tuning (SFT) and Knowledge Distillation techniques.
It also serves as a robust foundation for problem-solving in Large Language… See the full description on the dataset page: https://huggingface.co/datasets/Nan-Do/atcoder_agc_contests.atc-ground-runway-flow-coherence-risk-v0.1What this repo is for
Detect when surface operations stop matching runway capacity.
Daily operational signals:
taxi-out minutes
departure queue size
runway occupancy
runway throughput
missed slots
gate holds
This predicts gridlock before the airport locks up.
ATCO2_Callsigns_NERATCO2_callsignsATCO2_with_NERatcoder_awc_contests
Notification
Atcoder is selling this data now. If you are interested in accessing it please contact them.
Dataset Summary
This dataset aims to facilitate the creation of sophisticated, multi-turn dialogue datasets focused on coding
that could be used for training reasoning Large Language Models (LLMs), particularly for Supervised Fine-Tuning (SFT) and Knowledge Distillation techniques.
It also serves as a robust foundation for problem-solving in Large Language… See the full description on the dataset page: https://huggingface.co/datasets/Nan-Do/atcoder_awc_contests.ATCO2ATCO2_callsign_in_listATCOSIM_formatted