datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
us-dot-flight-delays-2015
US DOT Flight Delays — 2015 (Parquet Version)
This dataset contains 5,819,079 records of commercial flights in the United States during 2015.It has been converted to Parquet for efficient analytics in Python, DuckDB, Ibis, Spark, and Polars.
Files included
flights.parquet (main fact table)
airlines.parquet (carrier info)
airports.parquet (airport geolocation & metadata)
cancellation_codes.parquet (mapping table)
Source
U.S. Department of Transportation —… See the full description on the dataset page: https://huggingface.co/datasets/hsanchezp/us-dot-flight-delays-2015.us-dot-flight-delays-2015
US DOT Flight Delays — 2015 (Parquet Version)
This dataset contains 5,819,079 records of commercial flights in the United States during 2015.It has been converted to Parquet for efficient analytics in Python, DuckDB, Ibis, Spark, and Polars.
Files included
flights.parquet (main fact table)
airlines.parquet (carrier info)
airports.parquet (airport geolocation & metadata)
cancellation_codes.parquet (mapping table)
Source
U.S. Department of… See the full description on the dataset page: https://huggingface.co/datasets/Phoenix05003/us-dot-flight-delays-2015.us-dot-flight-delays-2015
US DOT Flight Delays — 2015 (Parquet Version)
This dataset contains 5,819,079 records of commercial flights in the United States during 2015.It has been converted to Parquet for efficient analytics in Python, DuckDB, Ibis, Spark, and Polars.
Files included
flights.parquet (main fact table)
airlines.parquet (carrier info)
airports.parquet (airport geolocation & metadata)
cancellation_codes.parquet (mapping table)
Source
U.S. Department of… See the full description on the dataset page: https://huggingface.co/datasets/librown/us-dot-flight-delays-2015.us-dot-flight-delays-2015
US DOT Flight Delays — 2015 (Parquet Version)
This dataset contains 5,819,079 records of commercial flights in the United States during 2015.It has been converted to Parquet for efficient analytics in Python, DuckDB, Ibis, Spark, and Polars.
Files included
flights.parquet (main fact table)
airlines.parquet (carrier info)
airports.parquet (airport geolocation & metadata)
cancellation_codes.parquet (mapping table)
Source
U.S. Department of… See the full description on the dataset page: https://huggingface.co/datasets/binayak777/us-dot-flight-delays-2015.