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README.md
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---
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license: mit
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tags:
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- infinite-dataset-hub
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- synthetic
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---
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# LegalMLPractitioner
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tags: legal documents, ML, classification
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_Note: This is an AI-generated dataset so its content may be inaccurate or false_
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**Dataset Description:**
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The 'LegalMLPractitioner' dataset is curated for machine learning practitioners interested in classifying legal documents related to mergers and acquisitions (M&A) and venture capital (VC) founding activities. Each document in the dataset is labeled based on its relevance to these topics, with the goal of enabling ML models to accurately predict the domain of the document. The labels are anonymized and do not directly correspond to the keywords.
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**CSV Content Preview:**
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```
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filename,text,label
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document_001,"Licensing agreement for technology transfer between two companies involved in an M&A deal",M&A_Document
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document_002,"Term Sheet for venture capital funding in a tech startup's Series A round",VC_Founding_Document
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document_003,"Memorandum of understanding for a strategic partnership between corporations",Non_M&A_Non_VC_Document
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document_004,"Non-disclosure agreement between a VC firm and a potential startup acquisition target",VC_Related_Document
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document_005,"Confidentiality agreement in the context of an M&A transaction",M&A_Document
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```
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**Source of the data:**
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The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query 'laywer legal documents (m&a, vc founding, etc)':
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- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=laywer+legal+documents+(m&a,+vc+founding,+etc)&dataset=LegalMLPractitioner&tags=legal+documents,+ML,+classification
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- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
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- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
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