datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
twitter-airline-sentiment
Dataset Card for Twitter US Airline Sentiment
Dataset Summary
This data originally came from Crowdflower's Data for Everyone library.
As the original source says,
A sentiment analysis job about the problems of each major U.S. airline. Twitter data was scraped from February of 2015 and contributors were asked to first classify positive, negative, and neutral tweets, followed by categorizing negative reasons (such as "late flight" or "rude service").
The data we're… See the full description on the dataset page: https://huggingface.co/datasets/osanseviero/twitter-airline-sentiment.dot-airline-ontime
DOT Airline On-Time Performance 2018–2024
45,968,068 reported flight records across all 84 months, with all 109 BTS source fields, exact delay values and separate cancellation/diversion outcomes.
This repository contains the 1,000-row public sample, covering all 84 months.
The full package is a one-time $99 snapshot, with monthly CSV and Parquet files.
It has 111 Parquet columns: 109 BTS fields plus source_month and source_row.
The deterministic sample uses 12 evenly spaced rows… See the full description on the dataset page: https://huggingface.co/datasets/claritystorm/dot-airline-ontime.US_Airline_SentimentTau2-Bench-Airline-With-Code-Agents
Dataset Card for a Code Agent Version of Tau Bench 2 Airline
Dataset Summary
This dataset includes sample traces and associated metadata from multi-turn interactions between an code agent and AI assistant. The dataset is based on the Airline environment from Tau^2 Bench and contains traces from both the original version and a version made at Snorkel AI using code agents to solve the same tasks (indicator in the version field; details below).
Curated by: Snorkel AI… See the full description on the dataset page: https://huggingface.co/datasets/snorkelai/Tau2-Bench-Airline-With-Code-Agents.airline-satisfaction-analysis
Airline Passenger Satisfaction – EDA Report
This project analyzes the Airline Passenger Satisfaction Dataset, containing 103,904 rows and 25 columns describing passenger demographics, flight information, and service ratings.The goal is to understand which factors influence satisfaction, identify important service features,and compare satisfaction between different traveler types and flight classes.
Dataset Overview
The dataset includes:
Passenger demographics (age… See the full description on the dataset page: https://huggingface.co/datasets/drukeroni/airline-satisfaction-analysis.Tau2-Bench-Verified-Airline-With-Code-Agents
Dataset Card for a Code Agent Version of Tau Bench 2 Airline
Dataset Summary
This dataset includes sample traces and associated metadata from multi-turn interactions between an code agent and AI assistant, along with the original verion of the tasks with more bespoke tools.
The dataset is based on a verified version of the Airline environment from Sierra.ai's Tau^2 Bench with the verified version from Amazon AGI group here.
You can find an earlier version of the dataset… See the full description on the dataset page: https://huggingface.co/datasets/snorkelai/Tau2-Bench-Verified-Airline-With-Code-Agents.2019_Major_Indian_Airlines_Datatau2-airline-deepseek-distill
τ²-bench airline · DeepSeek teacher trajectories
Successful multi-turn agent trajectories on τ²-bench's
airline domain, generated by running DeepSeek V4 Flash as the agent through the real τ²-bench
harness — same system prompt, same 14 tool schemas, same dialogue loop, same evaluator.
Used to behavior-clone the RL warm start
yuyu0529nya/qwen2.5-7b-tau2-airline-sft-lora,
which is the step 0 of the tau2_airline verl recipe.
Why these exist
GRPO on τ²-bench-airline… See the full description on the dataset page: https://huggingface.co/datasets/yuyu0529nya/tau2-airline-deepseek-distill.aprm-sft-thoughts-tau2-airline-policy_best-adamw30-lp0
Act-PRM SFT thoughts — tau2-bench airline
Act-PRM (Action Process Reward Models) infers the latent thoughts behind
logged, action-only agent demonstrations via an offline EM. For each
logged action x in state s we sample G=4 candidate thoughts z,
score each by the length-penalized action likelihood
reward(z) = p(x | s, z)
(len_frac grows with the thought's token length), and mark the best thought
(argmax reward). The (thought + action) span is then what downstream SFT / RL… See the full description on the dataset page: https://huggingface.co/datasets/mzio/aprm-sft-thoughts-tau2-airline-policy_best-adamw30-lp0.airline-otp-datakaggle-airline-delayairline_satisfactionairline-delay
U.S. Airline On-Time Performance and Delay Causes, 2009-2018
This dataset contains backend-ready Parquet data derived exclusively from the
120 monthly Reporting Carrier On-Time Performance archives published by the
U.S. Department of Transportation, Bureau of Transportation Statistics (BTS),
for January 2009 through December 2018.
It provides two configurations:
aggregate (default): monthly reporting-carrier and destination-airport
aggregates for dashboards, APIs, and… See the full description on the dataset page: https://huggingface.co/datasets/Donny-Guo/airline-delay.aprm-sft-thoughts-tau2-airline-base_best-adamw30-lp0
Act-PRM SFT thoughts — tau2-bench airline
Act-PRM (Action Process Reward Models) infers the latent thoughts behind
logged, action-only agent demonstrations via an offline EM. For each
logged action x in state s we sample G=4 candidate thoughts z,
score each by the length-penalized action likelihood
reward(z) = p(x | s, z)
(len_frac grows with the thought's token length), and mark the best thought
(argmax reward). The (thought + action) span is then what downstream SFT / RL… See the full description on the dataset page: https://huggingface.co/datasets/mzio/aprm-sft-thoughts-tau2-airline-base_best-adamw30-lp0.basic-airline-9c620f
basic-airline-9c620f
Synthetic weather test data: 49 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/SableKiteA/basic-airline-9c620f.pet-airlines
Pet Air Travel Dataset (Japan Outbound)
A structured, machine-readable dataset of pet travel policies for major international airlines, focused on flights departing from Japan. Designed to be directly consumable by AI agents and downstream applications without scraping.
Overview
The web is full of human-readable pet travel guides; almost none are usable by an AI agent or a typed application without per-airline scraping. pet_airlines provides the missing structured… See the full description on the dataset page: https://huggingface.co/datasets/Aulvem/pet-airlines.airline-disruption-dataasia-owid-number-airline-passengers
Number Airline Passengers | Asia (Our World in Data)
🌏 2,142 observations · 46 Asia countries · 1970–2023 · Repackaged by Electric Sheep Asia
TL;DR
This dataset contains 2,142 observations of Number Airline Passengers data across 46 Asia countries, spanning 1970–2023.
About the source
Source: Our World in Data
Publisher: Our World in Data
License: cc-by-4.0
Topic: Number Airline Passengers
Geographic coverage
46 Asia countries… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-number-airline-passengers.aprm-thought-generations-tau2-airline
Act-PRM Thought Generations — tau2-bench Airline
Latent thoughts inferred behind logged, action-only agent demonstrations by the
Act-PRM offline EM (Action Process Reward Models), for the tau2-bench airline
domain. For each logged (state s, action x) the EM-trained generator samples
G=4 candidate thoughts z, and each candidate is scored by the
length-penalized action likelihood of the logged action:
likelihood = p(x | s, z) # policy per-action-token… See the full description on the dataset page: https://huggingface.co/datasets/mzio/aprm-thought-generations-tau2-airline.abdelazizel7or_airline-delay-cause
Airline Delay Cause
Why your flight was late: 20 years of U.S. airline delays
Dataset Info
Source: Kaggle
Original Size: 10.49 MB
Kaggle Downloads: 2,489
Files: 1
Files
Airline_Delay_Cause.csv
Mirrored from Kaggle
Airlines_Reviews_Neuronetcombined_airline_retail_datatwitter_airlines_pos_neg_smallafrica-owid-number-airline-passengers
Number Airline Passengers | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)
Size category: 1K<n<10K - Formats: parquet - Sector: other_unclassified - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-owid-number-airline-passengers.Airline_Reviewsaprm-tau2-airline-gpt5m_med-gs4-s0-train
Act-PRM Rollout Dataset
Run Metadata
env_config: tau2bench/airline
model_config: oai_gpt5m_med
model: gpt-5-mini
split: train
group_size: 8
seed: 0
num_samples: 32
num_trajectories: 256
accuracy: 63.3%
mean_reward: 0.266
run_cmd: main_api.py --env_config tau2bench/airline --model_config oai_gpt5m_med --split train --group_size 8 --max_concurrent 3 --checkpoint_every 100 --dataset_name mzio/aprm-tau2-airline-gpt5m_med-gs4-s0-train --seed 0 --verbose
europe-owid-number-airline-passengers
Number Airline Passengers | Europe (Our World in Data)
🇪🇺 1,705 observations · 40 Europe countries · 1970–2023 · Repackaged by Electric Sheep Europe
TL;DR
This dataset contains 1,705 observations of Number Airline Passengers data across 40 Europe countries, spanning 1970–2023.
About the source
Source: Our World in Data
Publisher: Our World in Data
License: cc-by-4.0
Topic: Number Airline Passengers
Geographic coverage
40… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-number-airline-passengers.airline_datasetaprm-sft_genthinkact-ENact_prm_taubench_airline_500_fs1-GEaprm_qwen3_ap-SE42-REv10-ap1-b029airline-disruption-data-phase1b