---
language:
- kk
license: cc-by-nc-4.0
task_categories:
- text-generation
- question-answering
tags:
- kazakh
- agentic-ai
- tool-use
- function-calling
- stateful-agents
- session-context
- context-management
- multi-tool-use
- news-search
- wikipedia-search
- llm-agents
pretty_name: Kazakh Stateful Session Context and Multi-Tool Agent Dataset
size_categories:
- 1K<n<10K
---

# 🇰🇿 Kazakh Stateful Session Context and Multi-Tool Agent Dataset

## Dataset Summary

**Kazakh Stateful Session Context and Multi-Tool Agent Dataset** is a Kazakh-language dataset designed for training and evaluating Large Language Models (LLMs) in agentic AI workflows that require session context handling, multi-tool coordination, and state-aware response generation.

The dataset contains user requests, available tool schemas, expected tool calls, mock tool outputs, and full multi-turn interaction traces. It focuses on cases where an assistant must understand the user’s request, preserve relevant context, call multiple tools in sequence, and combine different information sources into a coherent final answer in Kazakh.


---

## 📊 Dataset Statistics

### General Metrics

| Metric | Count |
| :--- | :--- |
| **Total Samples** | 3,280 |
| **Total Words** (approx.) | 918,829 |
| **Avg. Words per Sample** | 280 |

### Word Count Distribution Per Field

The following table details the distribution of word counts across different fields in the dataset.

| Field | Mean | Median | Min | Max | Total Words |
| :--- | :--- | :--- | :--- | :--- | :--- |
| **answers** | 23.5 | 23.0 | 6 | 322 | 77,118 |
| **category** | 1.0 | 1.0 | 1 | 1 | 3,280 |
| **difficulty** | 1.0 | 1.0 | 1 | 1 | 3,280 |
| **id** | 1.0 | 1.0 | 1 | 1 | 3,280 |
| **query** | 12.9 | 12.0 | 3 | 41 | 42,226 |
| **tools** | 80.1 | 81.0 | 24 | 140 | 262,643 |
| **turns** | 160.7 | 157.0 | 62 | 689 | 527,002 |


![image](https://cdn-uploads.huggingface.co/production/uploads/64f75f7bd04a890f5347d436/hrvckiV4gxaLKanvZdnF7.png)

---

## Dataset Structure

Each dataset instance represents a complete state-aware tool-use interaction. A sample usually includes a Kazakh user query, available tools, expected tool calls, simulated tool outputs, and the final assistant answer.

### Data Fields

- **`id`**: A unique identifier for the sample.

- **`query`**: The original user request in Kazakh. The query may require combining recent updates, background information, previous context, or multiple external sources.

- **`category`**: The task category. For example, `06_state_session_context` indicates that the sample focuses on session state, context handling, and context-aware tool use.

- **`tools`**: A list of tools available to the assistant. Each tool contains:
  - `name`: the tool name;
  - `description`: the tool’s purpose;
  - `parameters`: the expected argument schema.

- **`difficulty`**: The difficulty level of the sample.

- **`answers`**: The target tool calls expected from the assistant. This field may include one or more tool calls that represent the intended action sequence.

- **`turns`**: The full interaction trajectory, including:
  - user request;
  - assistant planning step;
  - assistant tool calls;
  - mock tool responses;
  - final answer based on the retrieved information.

---

## Data Instance

Below is one representative example from the dataset.

```json
{
        "id": "sara_context_1",
        "category": "06_state_session_context",
        "query": "Назарбаев Университеті жайлы соңғы жаңалықтарды айтып бер және ол университет туралы мәлімет бер.",
        "tools": [
            {
                "name": "news.search",
                "description": "Search recent news articles",
                "parameters": {
                    "query": {
                        "type": "string",
                        "description": "Search topic",
                        "required": true
                    },
                    "language": {
                        "type": "string",
                        "description": "Language code",
                        "required": false
                    },
                    "pageToken": {
                        "type": "string",
                        "description": "Pagination token",
                        "required": false
                    }
                }
            },
            {
                "name": "wiki.search",
                "description": "Search Wikipedia articles",
                "parameters": {
                    "query": {
                        "type": "string",
                        "description": "Search term",
                        "required": true
                    },
                    "language": {
                        "type": "string",
                        "description": "Language code like kk, ru, en",
                        "required": false
                    }
                }
            }
        ],
        "difficulty": "hard",
        "answers": [
            {
                "name": "news.search",
                "arguments": "{\"query\": \"Назарбаев Университеті\", \"language\": \"kk\", \"pageToken\": \"??\"}"
            },
            {
                "name": "wiki.search",
                "arguments": "{\"query\": \"Назарбаев Университеті\", \"language\": \"kk\"}"
            }
        ],
        "turns": [
            {
                "role": "user",
                "content": "Назарбаев Университеті жайлы соңғы жаңалықтарды айтып бер және ол университет туралы мәлімет бер."
            },
            {
                "role": "assistant",
                "content": "жаңалықтан іздеу → wiki-ден іздеу деректерін өндеу",
                "meta": {
                    "plan": "news.search → wiki.search",
                    "tags": [],
                    "difficulty": "hard"
                }
            },
            {
                "role": "assistant",
                "content": "",
                "tool_call": {
                    "name": "news.search",
                    "arguments": "{\"query\": \"Назарбаев Университеті\", \"language\": \"kk\", \"pageToken\": \"??\"}"
                }
            },
            {
                "role": "tool",
                "content": "{\"articles\": [{\"source\": \"informburo.kz\", \"title\": \"Назарбаев Университетінде жас ғалымдар форумы өтті\", \"date\": \"2024-06-10\", \"url\": \"https://informburo.kz/kaz/new-nazarbayev-university-forum\"}]}"
            },
            {
                "role": "assistant",
                "content": "",
                "tool_call": {
                    "name": "wiki.search",
                    "arguments": "{\"query\": \"Назарбаев Университеті\", \"language\": \"kk\"}"
                }
            },
            {
                "role": "tool",
                "content": "{\"title\": \"Назарбаев Университеті\", \"summary\": \"Назарбаев Университеті — Қазақстан Республикасының жетекші зерттеу университеті, Астанада орналасқан, 2010 жылы құрылған.\", \"page_url\": \"https://kk.wikipedia.org/wiki/Назарбаев_Университеті\"}"
            },
            {
                "role": "assistant",
                "content": "Соңғы жаңалықтар бойынша, Назарбаев Университетінде жас ғалымдар форумы өтті (2024-06-10). Бұл туралы толығырақ informburo.kz сайтынан оқи аласыз: https://informburo.kz/kaz/new-nazarbayev-university-forum  \n    Назарбаев Университеті — Қазақстандағы жетекші зерттеу университеті, 2010 жылы Астанада құрылған. Университет жайлы қосымша ақпаратты мына сілтемеден қарауға болады: https://kk.wikipedia.org/wiki/Назарбаев_Университеті\n   (Дерек көзі: news.search + wiki.search)"
            }
        ]
    }
```

## Funding

This dataset was developed as part of the project funded by the Ministry of Science and Higher Education of the Republic of Kazakhstan under Grant No. BR24993001, “Creation of a Large Language Model (LLM) to Support the Kazakh Language and Advance Technological Development.”

## Citation

If you use this dataset in your research, please cite the following article:

### APA

Kadyrbek, N., Tuimebayev, Z., Mansurova, M., & Viegas, V. (2025). The development of small-scale language models for low-resource languages, with a focus on Kazakh and direct preference optimization. *Big Data and Cognitive Computing, 9*(5), 137. [https://doi.org/10.3390/bdcc9050137](https://doi.org/10.3390/bdcc9050137)

### BibTeX

```bibtex
@article{kadyrbek2025development,
  title     = {The Development of Small-Scale Language Models for Low-Resource Languages, with a Focus on Kazakh and Direct Preference Optimization},
  author    = {Kadyrbek, Nurgali and Tuimebayev, Zhanseit and Mansurova, Madina and Viegas, Vitor},
  journal   = {Big Data and Cognitive Computing},
  volume    = {9},
  number    = {5},
  pages     = {137},
  year      = {2025},
  publisher = {MDPI},
  doi       = {10.3390/bdcc9050137},
  url       = {https://www.mdpi.com/2504-2289/9/5/137}
}
```