Home Service Booking Ambiguity and Information Completion JSON Dataset
#ambiguity detection #missing information identification #structured JSON generation #home service booking #intelligent booking assistants #service request clarification
- 5000
- 0.3GB
- JSON
- CATL
MOBIUSI INC
Updated:2026-10-19
AI Analysis & Value Prop
This dataset covers home service booking requests with missing, ambiguous, or conflicting details about timing, service scope, or the property, along with structured JSON outputs for handling them. Outputs include processing status, extracted details, missing fields, clarification questions, conflict records, and whether processing can proceed, with an emphasis on using only information stated in the request rather than inventing booking details. It is designed for structured-output supervised fine-tuning (SFT), JSON generation, information-gap detection, and evaluation of booking clarification workflows.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| conflicts | array | Information in the request that is contradictory or cannot all be true at the same time. Use an empty array when there are no conflicts. |
| can_proceed | boolean | Whether there is enough information to continue processing the booking without further clarification from the user. |
| raw_request | string | The user's original home service booking request, provided as the source input for the record. |
| missing_fields | array | Information fields that are missing or need confirmation before the booking can be processed further. |
| extracted_details | object | Booking information explicitly stated or directly extractable from the original request. Use empty values for unknown or unstated details; do not invent information. |
| processing_status | string | The booking processing status based on the completeness and consistency of the request. |
| clarification_questions | array | Questions to ask the user about missing, ambiguous, or otherwise unconfirmed information. |
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 booking scenarios does the dataset cover?
- The data focuses on home service booking requests with missing, ambiguous, or conflicting information about timing, service scope, or the property, paired with structured outputs for handling each request.
- What information is included in the JSON outputs?
- Records include the raw request, processing status, extracted details, missing fields, clarification questions, conflicts, and whether processing can proceed. Unstated or unknown details should remain empty or use the agreed representation rather than being inferred without evidence.
- Which training and evaluation tasks are supported?
- The dataset can support structured-output SFT, JSON generation, booking information extraction, missing-detail detection, conflict identification, and clarification question generation. It can also help evaluate whether a model follows a defined schema without fabricating information.
- How can the dataset be obtained and used?
- Refer to the product page for the available file format, samples, and delivery details. Before using the data for training, evaluation, or commercial projects, review the applicable license, redistribution restrictions, and terms of use.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Home Service Booking Ambiguity and Information Completion JSON Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/7eefba30d851852884fd9a84cf189c31?dataset_task_cate_id=9},
urldate={2026-10-10},
keywords={home service booking dataset, booking ambiguity detection, information completion data, JSON generation training, structured output SFT, home services, clarification question generation, booking information extraction},
version={1.0}
}Using this in research? Please cite us.
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