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Home/Extraction/Local Activity Booking Availability Query Tool-Use Trajectory Dataset

Local Activity Booking Availability Query Tool-Use Trajectory Dataset

#Tool argument generation #Function calling #Parameter extraction #Context understanding #Local activity booking #Activity availability queries #Booking assistants #Activity scheduling

3550
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-31

AI Analysis & Value Prop

This dataset contains tool-use trajectories for checking bookable time slots in local activity booking scenarios. It covers user requests and conversation context, along with parameters such as activity and session identifiers, dates, time ranges, participant counts, and time zones. The data supports training models to extract and organize availability-query arguments from natural-language requests, as well as developing and evaluating function-calling capabilities for booking assistants.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
timezone	string	The time zone used to interpret the requested date and time range, preferably as an IANA time zone identifier.
tool_name	string	The name of the availability tool called for the query.
session_id	string	The identifier of the activity session or scheduled instance when the query targets a specific session.
activity_id	string	The identifier of the activity whose availability is queried, when provided or resolved.
activity_name	string	The name of the local activity whose availability is queried.
requested_date	string	The date for which the user wants to check bookable time slots, represented in ISO 8601 date format when available.
time_range_end	string	The end of the requested local-time range, represented in 24-hour HH:MM format when available.
time_range_start	string	The beginning of the requested local-time range, represented in 24-hour HH:MM format when available.
participant_count	integer	The number of people for whom availability is being checked.
user_request_context	string	The user's original request and relevant conversation context for formulating the availability query.

Compliance Statement

Authorization Type	Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What does the dataset contain?: It includes user requests and relevant conversation context, the availability tool being called, and parameter fields such as activity and session identifiers, requested dates, start and end times, participant counts, and time zones.

Does the dataset provide actual bookable slots or query results?: The dataset focuses on generating tool arguments for availability queries; it should not be treated as live inventory or booking-result data. Actual availability must be checked and confirmed through an integrated activity booking service.

Which training and evaluation tasks does it support?: It supports extracting dates, times, participant counts, and other details from natural-language requests and context, generating tool arguments, and training or evaluating function calling and booking-assistant workflows.

How can I access and use the data?: Check the dataset page for available access methods, data formats, and licensing terms. Before use, verify the permitted scope and confirm field conventions such as date and time formats and IANA time zones.

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Cite this Work

@dataset{Mobiusi2026,
  title={Local Activity Booking Availability Query Tool-Use Trajectory Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/745928495554ed62db8398ed3a041f3c?dataset_task_cate_id=9},
  urldate={2026-10-26},
  keywords={local activity booking data,activity availability queries,availability query trajectories,tool use dataset,function calling training,argument generation data,booking assistant training,activity booking tools},
  version={1.0}
}

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