datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.atcoder_initialatc-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.
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.
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-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
atcoder_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.
atc-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.
atcoder_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.ATCO2
