Datasets:

farabi-lab
/

State_Session_Context_Passing

	---
	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}
	}
	```