data_summary_card.md

Data Summary for microsoft_Phi-3.5-mini-instruct, Phi-3.5-MoE-instruct,

1. General information

1.0.1 Version of the Summary: 1.0

1.0.2 Last update: 10-Dec-2025

1.1 Model Developer Identification

1.1.1 Model Developer name and contact details: Microsoft Corporation at One Microsoft Way, Redmond, WA 98052. Tel: 425-882-8080

1.2 Model Identification

1.2.1 Versioned model name(s): Phi-3.5-mini-instruct, Phi-3.5-MoE-instruct, Phi-3.5-mini-instruct

1.2.2 Model release date: August 2024

1.3 Overall training data size and characteristics

1.3.1 Size of dataset and characteristics

1.3.1.A Text training data size: 1 billion to 10 trillion tokens

1.3.1.B Text training data content: Our training data includes a wide variety of sources, and is a combination of publicly available documents selected for quality, selected educational data, and code; newly created synthetic, “textbook-like” data for the purpose of teaching math, coding, common sense reasoning, general knowledge of the world (science, daily activities, theory of mind, etc.); chat format supervised data covering various topics to reflect preferences on different aspects such as instruct-following, truthfulness, honesty and helpfulness.

1.3.1.C Image training data size: Not applicable

1.3.1.D Image training data content: Not applicable

1.3.1.E Audio training data size: Not applicable

1.3.1.F Audio training data content: Not applicable

1.3.1.G Video training data size: Not applicable

1.3.1.H Video training data content: Not applicable

1.3.1.I Other training data size: Not applicable

1.3.1.J Other training data content: Not applicable

1.3.2 Latest date of data acquisition/collection for model training: October 2023

1.3.3 Is data collection ongoing to update the model with new data collection after deployment? No

1.3.4 Date the training dataset was first used to train the model: June 2024

1.3.5 Rationale or purpose of data selection: Datasets include selected publicly available documents, educational data, code, and newly created synthetic textbook-like data to emphasize reasoning-dense content such as math, coding, common sense reasoning, and general knowledge, supporting strong reasoning and instruction-following

2. List of data sources

2.1 Publicly available datasets

2.1.1 Have you used publicly available datasets to train the model? Yes

2.2 Private non-publicly available datasets obtained from third parties

2.2.1 Datasets commercially licensed by rights holders or their representatives

2.2.1.A Have you concluded transactional commercial licensing agreement(s) with rights holder(s) or with their representatives? Not applicable

2.2.2 Private datasets obtained from other third-parties

2.2.2.A Have you obtained private datasets from third parties that are not licensed as described in Section 2.2.1, such as data obtained from providers of private databases, or data intermediaries? No

2.3 Personal Information

2.3.1 Was personal data used to train the model? Microsoft follows all relevant laws and regulations pertaining to personal information

2.4 Synthetic data

2.4.1 Was any synthetic AI-generated data used to train the model? Yes

3. Data processing aspects

3.1 Respect of reservation of rights from text and data mining exception or limitation

3.1.1 Does this dataset include any data protected by copyright, trademark, or patent? Microsoft follows all required regulations and laws for processing data protected by copyright, trademark, or patent

3.2 Other information

3.2.1 Does the dataset include information about consumer groups without revealing individual consumer identities? Microsoft follows all required regulations and laws for protecting consumer identities

3.2.2 Was the dataset cleaned or modified before model training? Yes