datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tartanaviation-atc-adsb-utterances
TartanAviation ATC + ADS-B (Utterances)
Speech utterances split from twangodev/tartanaviation-atc-adsb
by voice-activity detection (pyannote/segmentation-3.0).
Each row is one speech segment (16 kHz mono) with the ADS-B from its parent clip.
531,050 utterances · ~398 h speech · 16 kHz mono · 67% carry ADS-B. From 40,899 of 41,823 clips
(silent clips have no utterances). Built with squawk.
Usage
from datasets import load_dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/twangodev/tartanaviation-atc-adsb-utterances.tartanaviation-atc-adsb
TartanAviation ATC + ADS-B
Paired ATC audio and ADS-B for Pittsburgh KAGC and KBTP, aligned from CMU
TartanAviation. Each row is one ADS-B-triggered
audio capture (16 kHz mono) plus the aircraft tracks present during it.
41,823 clips · 16 kHz mono · 67% carry ADS-B. Built with squawk.
Usage
from datasets import load_dataset
ds = load_dataset("twangodev/tartanaviation-atc-adsb", split="train", streaming=True)
ex = next(iter(ds))
ex["audio"] # {'array': ...… See the full description on the dataset page: https://huggingface.co/datasets/twangodev/tartanaviation-atc-adsb.atcosim_corpus
Dataset Card for ATCOSIM corpus
Dataset Summary
The ATCOSIM Air Traffic Control Simulation Speech corpus is a speech database of air traffic control (ATC) operator speech, provided by Graz University of Technology (TUG) and Eurocontrol Experimental Centre (EEC). It consists of ten hours of speech data, which were recorded during ATC real-time simulations using a close-talk headset microphone. The utterances are in English language and pronounced by ten non-native… See the full description on the dataset page: https://huggingface.co/datasets/Jzuluaga/atcosim_corpus.atcoder-problemsuwb_atcc
Dataset Card for UWB-ATCC corpus
Dataset Summary
The UWB-ATCC Corpus is provided provided by University of West Bohemia, Department of Cybernetics. The corpus contains recordings of communication between air traffic controllers and pilots. The speech is manually transcribed and labeled with the information about the speaker (pilot/controller, not the full identity of the person). The corpus is currently small (20 hours) but we plan to search for additional data next year.… See the full description on the dataset page: https://huggingface.co/datasets/Jzuluaga/uwb_atcc.atco2_corpus_1h
Dataset Card for ATCO2 test set corpus (1hr set)
Dataset Summary
ATCO2 project aims at developing a unique platform allowing to collect, organize and pre-process air-traffic control (voice communication) data from air space. This project has received funding from the Clean Sky 2 Joint Undertaking (JU) under grant agreement No 864702. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and the Clean Sky 2 JU members other than… See the full description on the dataset page: https://huggingface.co/datasets/Jzuluaga/atco2_corpus_1h.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.atco2-asr-atcosim
Dataset Card for "atco2-asr-atcosim"
This is a dataset constructed from two datasets: ATCO2-ASR and ATCOSIM.
It is divided into 80% train and 20% validation by selecting files randomly. Some of the files have additional information that is presented in the 'info' file.
atc-testatc-dataset
Deprecation Notice (June 16, 2025)
This dataset is deprecated. A newer version is available on Hugging Face Datasets, featuring higher data quality and reliability, although with fewer overall samples.
View the updated dataset on Hugging Face
ATC Dataset - Fine-Tuning Whisper
This dataset was created to fine-tune OpenAI's Whisper model for improving transcription accuracy in Air Traffic Control (ATC) communications. The dataset contains transcriptions and corresponding… See the full description on the dataset page: https://huggingface.co/datasets/jacktol/atc-dataset.atcosimThis is an ATM dataset for the use of automatic speech recognition. The original source of the data is from the ATCOSIM project.
atco2-asr
Dataset Card for "ATCO2-ASR"
This is audio data used for automatic speech recognition. The original source of the data is the ATCO2 project, specifically the ASR part of the public speech corpus.
atcoder_cot
Dataset Card for Atcoder-CoT
Dataset Description
Atcoder-CoT is a proof-of-concept dataset designed to demonstrate how a dataset like the one found here can be used to generate synthetic datasets for training reasoning models, particularly for Supervised Fine-Tuning (SFT) and Knowledge Distillation. It leverages human-created and debugged solutions, combined with LLM-generated text to create conversational turns. The approach can also be easily adapted to simulate human… See the full description on the dataset page: https://huggingface.co/datasets/Nan-Do/atcoder_cot.ATC_combined
Dataset Card for UWB-ATCC corpus
Dataset Summary
The UWB-ATCC Corpus is provided provided by University of West Bohemia, Department of Cybernetics. The corpus contains recordings of communication between air traffic controllers and pilots. The speech is manually transcribed and labeled with the information about the speaker (pilot/controller, not the full identity of the person). The corpus is currently small (20 hours) but we plan to search for additional data next year.… See the full description on the dataset page: https://huggingface.co/datasets/Shiry/ATC_combined.ATC-ASR-Dataset
ATC ASR Dataset
ATC ASR Dataset is a high-quality, fine-tuning-ready speech recognition dataset constructed from two real-world Air Traffic Control (ATC) corpora: the UWB ATC Corpus and the ATCO2 1-Hour Test Subset.
The dataset consists of cleanly segmented audio + transcript pairs at the utterance level, specifically curated for Automatic Speech Recognition (ASR) training and fine-tuning in the ATC domain.
Contents
This dataset includes:
Audio files (.wav, 16kHz… See the full description on the dataset page: https://huggingface.co/datasets/jacktol/ATC-ASR-Dataset.atcosim_dataset_for_finetune_whisper_smalluwb_atcosim_split_by_person_6_2_2
UWB-ATCC + ATCOSIM — combined ATC ASR dataset (ATCOSIM 6-2-2, gender-balanced)
A combined air-traffic-control ASR dataset built from Jzuluaga/uwb_atcc and Jzuluaga/atcosim_corpus, re-split with leakage-free (group-disjoint) train/validation/test splits. UWB-ATCC is split recording-disjoint (80/10/10) and ATCOSIM is split speaker-disjoint and gender-balanced, putting 1 male + 1 female speaker in each of validation and test (6 train / 2 / 2 speakers), with a fixed seed (42) and 16… See the full description on the dataset page: https://huggingface.co/datasets/mmonzel/uwb_atcosim_split_by_person_6_2_2.uwb_atcosim_split_by_person_8-1-1
UWB-ATCC + ATCOSIM — combined ATC ASR dataset (ATCOSIM 8-1-1)
A combined air-traffic-control ASR dataset built from Jzuluaga/uwb_atcc and Jzuluaga/atcosim_corpus, re-split with leakage-free (group-disjoint) train/validation/test splits. UWB-ATCC is split recording-disjoint (80/10/10) and ATCOSIM is split speaker-disjoint into 8 train / 1 validation / 1 test speakers, with a fixed seed (42) and 16 kHz audio. Columns: id, audio, text, segment_start_time, segment_end_time… See the full description on the dataset page: https://huggingface.co/datasets/mmonzel/uwb_atcosim_split_by_person_8-1-1.ATC_combined
Dataset Card for UWB-ATCC corpus
Dataset Summary
The UWB-ATCC Corpus is provided provided by University of West Bohemia, Department of Cybernetics. The corpus contains recordings of communication between air traffic controllers and pilots. The speech is manually transcribed and labeled with the information about the speaker (pilot/controller, not the full identity of the person). The corpus is currently small (20 hours) but we plan to search for additional data next year.… See the full description on the dataset page: https://huggingface.co/datasets/Tabys/ATC_combined.atcosim_converted_prepared_whisper_baseatcosim_converted_prepared_whisper_smallatcosim_prepared_whisper_baseatcosim_inputatcosim_pruned_hubertatcosim_pruned_xlsratcoder_abc_contests_small
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 Models (LLMs).
The dataset includes both accepted and failed solutions from Atcoders's (ABC) contests.
In total, it features… See the full description on the dataset page: https://huggingface.co/datasets/Nan-Do/atcoder_abc_contests_small.pbs_item_atc_relationshipsatco2_normalized_augmentedatco2_only_augmentednormalized_train_ATC_dataset