Public Summary of Training Content for DeepSeek-V4 - Version V 1 - Last update - 4/08/2026

Oct 22, 2026

Uploaded by Ophelia

Public Summary of Training Content for DeepSeek-V4 provides general training-content disclosures, including provider and model identification details, overall training-data modalities, and characteristics of the training corpus. It states the estimated training data scale for text, highlights multilingual coverage with strong Chinese and English representation, and clarifies that the corpus is designed for a text-output model. The document lists public datasets such as Common Crawl and Stack Exchange, plus other third-party multi-domain text and code corpora processed with quality screening, deduplication, language identification, and safety filtering.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages5

Reading Time13 min

AccessFree to download

1. General information

1.1 Provider identification

1.2 Model identification

1.3 Modalities, overall training data size and other characteristics

2. List of data sources

2.1 Publicly available datasets

2.2 Private non-publicly available datasets obtained from third parties

2.3 User data

2.4 Synthetic data

Public Summary of Training Content for DeepSeek-V4 Version of the Summary: V 1 Last update: 4/08/2026 1. General information 1. 1. Provider identification Provider name and contact details: Authorised representative name and contact details: Hangzhou DeepSeek Artificial Intelligence Co., Ltd.Room 1201, Building Xi 1, Galaxy International Building, No. 169 North Huancheng Road, Gongshu District, Hangzhou, Zhejiang, China. We have appointed Prighter Group with its local partners as our authorised representative in the European Union. Please visit: [https://app.prighter.com/portal/17162496076](https://app.prighter.com/portal/17162496076) 1.2. Model identification Versioned model name(s): Model dependencies: Date ofplacement of the model on the Union market: | DeepSeek-V4（including DeepSeek-V4-Pro and DeepSeek-V4-Flash.） | | --- | | None | | 24 April 2026 | 1.3 Modalities, overall training data size and other characteristics | Modality
Select the modalities present in the training data, to the extent that they are identifiable | Training data size
For each selected modality, select the range within which the estimated total training data size for that modalityfalls. Dynamic datasets may be excluded from the estimation. | Types of content
For each selected modality, provide a general description ofthe type ofcontent that has been included in the training data. | | --- | --- | --- | | ☒ Text | ☐ Less than 1 billion tokens ☐ 1billion to 10 trillions tokens ☒ More than 10 trillions tokens | Publicly available internet information, licensed datasets, and diverse textual content including mathematical texts, source code, multilingual materials, long-form documents and text used for agentic and domainspecific training. | | ☐ Image | ☐ Less than 1 million images ☐ 1Million to1 billion images ☐ More than 1 billion images | N/A | | ☐ Audio | ☐ Less than 10 000 hours ☐ 10 000 to1 million hours ☐ More than 1 million hours | N/A | | ☐ Video | ☐ Less than 10 000 hours ☐ 10 000 to1 million hours ☐ More than 1 million hours | N/A | | --- | --- | --- | | ☐ Other | Specify the modality and for each one indicate approximate size and unit of measurement | N/A | Latest date of data acquisition/collection for model training: Description of the linguistic characteristics of the overall training data: Other relevant characteristics of the overall training data: Additional comments (optional): The data used to train DeepSeek V4 includes different datasets from varying time periods, with some data collected approximately no later than May 2025. | Multilingual, with strong coverage in Chinese and English. | | --- | | The training corpus is designed as a whole for the text output model. | | N/A | 2. List of data sources 2. 1. Publicly available datasets Have you used publicly available datasets to train the model? ☒ Yes ☐ No If yes, specify the modality(ies) of the content covered by the datasets concerned: List of large publicly available datasets: General description of other publicly available datasets not listed above: Additional comments (optional): | ☒ Text ☐ Image ☐ Video ☐ Audio
☐ Other | | --- | | The training data includes text from Common Crawl and Stack Exchange. Prior to training, they are processed through quality screening, deduplication, language identification, and safety filtering. | | Other publicly available datasets include extensive multi-domain text and code corpora released by third parties through public repositories, online platforms, open data portals, and dedicated websites, including encompass long documents, scientific and technical materials, and source code. Prior to training, they are processed through quality screening, deduplication, language identification, and safety filtering. These datasets cover diverse subject areas worldwide and support multiple languages. | | N/A | 2.2 Private non-publicly available datasets obtained from third parties 2.2

FAQs

What model does this public summary cover, and what version is stated?

The summary covers DeepSeek-V4 and states the summary version as V 1.

What modalities and overall training-data scale are described?

The document selects text as the modality and indicates the estimated text training-data size is more than 10 trillion tokens.

Which public datasets are mentioned and how are they processed before training?

It mentions Common Crawl and Stack Exchange, and describes processing steps including quality screening, deduplication, language identification, and safety filtering. It also references other third-party multi-domain text and code corpora with similar preprocessing steps.

Oct 22, 2026

Uploaded by Ophelia