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.
atcosim-speaker-disjoint-splits
ATCOSIM speaker-disjoint splits (metadata only)
This dataset contains no audio and no transcripts. It is a split definition:
one row per ATCOSIM utterance, giving its speaker, its recording session, its
duration, and which half of a speaker-disjoint evaluation it belongs to.
The audio and transcriptions are not here because they cannot be redistributed.
The ATCOSIM corpus
manual §5.2 states that the corpus is "provided free of charge" and "permitted
to use ... for research and… See the full description on the dataset page: https://huggingface.co/datasets/moonshine-ai/atcosim-speaker-disjoint-splits.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-role-classification-synthetic-2procedurally generated synthetic data, script is included in files
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.
uwb-atcc-session-disjoint-splits
UWB-ATCC session-disjoint splits
IDs only, no audio. Train drops the one session shared with the published test split (TWR-34720N) so an in-domain number is domain adaptation, not session leakage. Audio stays on Jzuluaga/uwb_atcc (CC BY-NC-SA 4.0).
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.
atc-role-classification-synthetic-3Generated with ChatGPT
atc-role-classification-syntheticGenerated with Claude Opus 4.6
The data covers a wide range of realistic radio phraseology including:
Pilot utterances: check-ins, readbacks, requests (altitude/heading/approach/deviation), position reports, PIREPs, emergencies (mayday/pan-pan), taxi/pushback, go-arounds, and general acknowledgments.
ATC utterances: clearances (takeoff/landing/approach), altitude/heading/speed instructions, traffic advisories, hold instructions, weather broadcasts, vectors, STAR/SID assignments, taxi… See the full description on the dataset page: https://huggingface.co/datasets/TigreGotico/atc-role-classification-synthetic.ATCOSIM_llm_train_textATCOSIM_dictation_by_finetuned_whisper_smallatcoder_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.Jzuluaga_atcosim_corpus_test_embeddingsATCO2_readbacksatco-codeATCO2Justibot