M&A Due Diligence NDA Question Answering Dataset
#legal document question answering #contract clause interpretation #evidence-based reasoning #M&A due diligence #NDA compliance review #corporate confidentiality management
- 5000
- 0.4GB
- JSON
- CATL
MOBIUSI INC
Updated:2026-10-19
AI Analysis & Value Prop
Focused on non-disclosure agreements used in mergers and acquisitions, investments, and due diligence, this dataset covers topics such as whether a transaction exists, target companies and affiliates, advisers and prospective investors, information access, and permitted transaction purposes. Each question and answer uses the agreement text as its closed knowledge source and includes supporting clause excerpts and an analysis of confidentiality obligations. It supports legal question answering, clause retrieval, and training and evaluation of models for specialized transaction contexts.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| answer | string | An answer grounded strictly in the NDA text, without adding facts or inferences beyond the agreement. |
| question | string | A question about a professional transaction context that the model must answer using the NDA text. |
| evidence_text | string | An excerpt or key clause from the agreement that supports the answer and identifies its textual basis. |
| agreement_text | string | The original text or content of an M&A, investment, or due diligence non-disclosure agreement, used as the closed knowledge source. |
| question_category | string | A category for the NDA topic addressed by the question, such as transaction existence, target companies and affiliates, advisers and prospective investors, information access, or transaction purpose. |
| confidentiality_analysis | string | A structured semantic analysis of confidentiality obligations, permitted information recipients, allowed purposes, or covered parties under the relevant agreement clauses. |
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 NDA topics does the dataset cover?
- It covers confidentiality agreements used in M&A, investment, and due diligence, including transaction existence, target companies and affiliates, advisers and prospective investors, information access, and transaction purposes.
- How are answers grounded in the agreement text?
- Answers are based strictly on the agreement text and do not introduce facts or inferences from outside it. Supporting clause excerpts and confidentiality analyses are included to help trace the textual basis and interpret the relevant obligations.
- Which training and evaluation tasks is the dataset suited for?
- It supports closed-domain legal question answering, agreement comprehension, evidence-grounded answer generation, clause retrieval, and confidentiality obligation analysis. It can also be used for domain-specific supervised fine-tuning and capability evaluation.
- How can the dataset be obtained, and what are the usage rights?
- Refer to the product listing or provider's license terms for availability and permitted use. Confirm the source, copyright status, and commercial-use permissions for the agreement texts before use. The dataset is intended for model training or research and does not constitute legal advice.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={M&A Due Diligence NDA Question Answering Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/4f5d8b66288b257441fdd05d39992c99},
urldate={2026-10-13},
keywords={M&A NDA dataset,due diligence question answering,investment confidentiality obligations,legal text QA,agreement clause comprehension,closed-domain legal QA,NDA training data,transaction document analysis},
version={1.0}
}Using this in research? Please cite us.
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