--- pretty_name: KoTAU Development Data language: - ko - en tags: - travel - agents - tool-use - development configs: - config_name: rail_fares data_files: - split: development path: data/rail/fares.parquet - config_name: rail_inventory data_files: - split: development path: data/rail/inventory.parquet - config_name: rail_inventory_init data_files: - split: development path: data/rail/inventory_init.parquet - config_name: rail_meta data_files: - split: development path: data/rail/meta.parquet - config_name: rail_stations data_files: - split: development path: data/rail/stations.parquet - config_name: rail_stops data_files: - split: development path: data/rail/stops.parquet - config_name: rail_trains data_files: - split: development path: data/rail/trains.parquet - config_name: lodging_direct_site_pages data_files: - split: development path: data/lodging/direct_site_pages.parquet - config_name: lodging_direct_site_policy data_files: - split: development path: data/lodging/direct_site_policy.parquet - config_name: lodging_direct_sites data_files: - split: development path: data/lodging/direct_sites.parquet - config_name: lodging_engine_hotels data_files: - split: development path: data/lodging/engine_hotels.parquet - config_name: lodging_engine_open_dates data_files: - split: development path: data/lodging/engine_open_dates.parquet - config_name: lodging_engine_rate_plans data_files: - split: development path: data/lodging/engine_rate_plans.parquet - config_name: lodging_engine_rates data_files: - split: development path: data/lodging/engine_rates.parquet - config_name: lodging_engine_stay_hotels data_files: - split: development path: data/lodging/engine_stay_hotels.parquet - config_name: lodging_hotels data_files: - split: development path: data/lodging/hotels.parquet - config_name: lodging_meta data_files: - split: development path: data/lodging/meta.parquet - config_name: lodging_naver_booking data_files: - split: development path: data/lodging/naver_booking.parquet - config_name: lodging_stay_fee_pages data_files: - split: development path: data/lodging/stay_fee_pages.parquet - config_name: lodging_stay_homepages data_files: - split: development path: data/lodging/stay_homepages.parquet - config_name: lodging_stay_policy_quotes data_files: - split: development path: data/lodging/stay_policy_quotes.parquet - config_name: lodging_stay_ratings data_files: - split: development path: data/lodging/stay_ratings.parquet - config_name: lodging_stays data_files: - split: development path: data/lodging/stays.parquet - config_name: lodging_tourapi_areas data_files: - split: development path: data/lodging/tourapi_areas.parquet - config_name: lodging_tourapi_common data_files: - split: development path: data/lodging/tourapi_common.parquet - config_name: lodging_tourapi_images data_files: - split: development path: data/lodging/tourapi_images.parquet - config_name: lodging_tourapi_intro data_files: - split: development path: data/lodging/tourapi_intro.parquet - config_name: lodging_tourapi_pet data_files: - split: development path: data/lodging/tourapi_pet.parquet - config_name: lodging_tourapi_rooms data_files: - split: development path: data/lodging/tourapi_rooms.parquet - config_name: lodging_tourapi_stays data_files: - split: development path: data/lodging/tourapi_stays.parquet - config_name: lodging_yanolja_places data_files: - split: development path: data/lodging/yanolja_places.parquet - config_name: bus_routes data_files: - split: development path: data/bus/bus_routes.parquet - config_name: bus_stops data_files: - split: development path: data/bus/bus_stops.parquet - config_name: bus_route_stops data_files: - split: development path: data/bus/route_stops.parquet - config_name: bus_fares data_files: - split: development path: data/bus/bus_fares.parquet - config_name: bus_meta data_files: - split: development path: data/bus/meta.parquet - config_name: attraction_attractions data_files: - split: development path: data/attraction/attractions.parquet - config_name: attraction_intro data_files: - split: development path: data/attraction/attraction_intro.parquet - config_name: attraction_info data_files: - split: development path: data/attraction/attraction_info.parquet - config_name: attraction_cls_codes data_files: - split: development path: data/attraction/cls_codes.parquet - config_name: attraction_meta data_files: - split: development path: data/attraction/meta.parquet --- # KoTAU Development Data Working data for **KoTAU**, a Korean travel agent benchmark. Parquet tables support analysis; source captures and SQLite databases preserve the offline environment. [Code and tools](https://github.com/HAE-RAE/KoTAU/tree/feat/hf-data-migration) | [File inventory](https://huggingface.co/datasets/HAERAE-HUB/KoTau-dev-data/blob/main/manifest.json) | [Export report](https://huggingface.co/datasets/HAERAE-HUB/KoTau-dev-data/blob/main/artifacts/parquet-export.json) ## Data | Layer | Contents | | --- | --- | | `data/rail/` | Stations, schedules, fares, inventory, booking state | | `data/lodging/` | Properties, rooms, policies, ratings, dated prices | | `data/bus/` | Seoul city bus routes, stops, schedules, fares | | `data/attraction/` | Seoul tourist spots & cultural facilities, hours, fees | | `sources/` | Original documents, captures, and benchmark archives | | `databases/` | `rail/korail.db`, `lodging/lodging.db`, `bus/seoul_bus.db`, `attraction/attraction.db`, `seoul/kotau_seoul.db` | | `artifacts/`, `provenance/` | Runtime download bundle, checks, source provenance | The initial export contains **32 Parquet tables**. The 31 populated tables have separate configs with a `development` split. The empty `rail/reservations.parquet` preserves the booking-state schema. Relational table rows are not benchmark episodes. ## Load ```python from datasets import load_dataset stays = load_dataset( "HAERAE-HUB/KoTau-dev-data", "lodging_stays", split="development", token=True, ) ``` ```bash hf auth login hf download HAERAE-HUB/KoTau-dev-data --repo-type dataset \ --include "data/**" --local-dir . ``` Use a full commit hash with `revision` for reproducible analysis. For the offline tools, run `uv run python tools/data.py download` from the code checkout. It uses `data.lock.json`, verifies SHA-256, and restores source files and databases to their runtime paths. ## Schema and status SQLite table and column names are preserved in Parquet. Rail inventory is synthetic. Prices and availability reflect collection time, recorded with the sources. This is a private development repository. The paper release will use a separate repository with frozen data and experiment splits. Third-party source materials retain their original terms and licenses.