hermes-agent-reasoning-traces

id stringlengths 36 36	conversations listlengths 9 51	tools stringclasses 6 values	category stringclasses 8 values	subcategory stringclasses 23 values	task stringlengths 51 100
1b510b01-5892-4810-8663-8f457280d904	[ { "from": "system", "value": "You are a function calling AI model. You are provided with function signatures within <tools> </tools> XML tags. You may call one or more functions to assist with the user query. If available tools are not relevant in assisting with user query, just respond in natural conversat...	[{"name": "patch", "description": "Targeted find-and-replace edits in files. Use this instead of sed/awk in terminal. Uses fuzzy matching (9 strategies) so minor whitespace/indentation differences won't break it. Returns a unified diff. Auto-runs syntax checks after editing.\n\nReplace mode (default): find a unique str...	Terminal & Coding	Terminal Tasks	Write a Python script that reads a CSV file, cleans the data by removing duplicates and fixing forma
58be3f1e-49bf-4ec6-846e-041c6f9aac7f	[ { "from": "system", "value": "You are a function calling AI model. You are provided with function signatures within <tools> </tools> XML tags. You may call one or more functions to assist with the user query. If available tools are not relevant in assisting with user query, just respond in natural conversat...	[{"name": "patch", "description": "Targeted find-and-replace edits in files. Use this instead of sed/awk in terminal. Uses fuzzy matching (9 strategies) so minor whitespace/indentation differences won't break it. Returns a unified diff. Auto-runs syntax checks after editing.\n\nReplace mode (default): find a unique str...	Terminal & Coding	Terminal Tasks	Search for Python memory usage techniques, profile the current code, and apply relevant optimization
e8c4ab8d-42c7-4c30-b249-adde1cee4b4c	[ { "from": "system", "value": "You are a function calling AI model. You are provided with function signatures within <tools> </tools> XML tags. You may call one or more functions to assist with the user query. If available tools are not relevant in assisting with user query, just respond in natural conversat...	[{"name": "patch", "description": "Targeted find-and-replace edits in files. Use this instead of sed/awk in terminal. Uses fuzzy matching (9 strategies) so minor whitespace/indentation differences won't break it. Returns a unified diff. Auto-runs syntax checks after editing.\n\nReplace mode (default): find a unique str...	Terminal & Coding	Terminal Tasks	Write a Python script that reads a CSV file, cleans the data by removing duplicates and fixing forma
6641e310-6062-47fc-acc2-89c7d66829f9	[{"from":"system","value":"You are a function calling AI model. You are provided with function signa(...TRUNCATED)	"[{\"name\": \"patch\", \"description\": \"Targeted find-and-replace edits in files. Use this instea(...TRUNCATED)	Terminal & Coding	Terminal Tasks	"Search for Python memory usage techniques, profile the current code, and apply relevant optimizatio(...TRUNCATED)
0c5f862a-7601-4b73-83c1-06c617f20ec6	[{"from":"system","value":"You are a function calling AI model. You are provided with function signa(...TRUNCATED)	"[{\"name\": \"patch\", \"description\": \"Targeted find-and-replace edits in files. Use this instea(...TRUNCATED)	File Operations	File Tasks	Write a Redis caching layer for API responses with configurable TTL.
393d522d-4ff3-44c8-8f06-de798f6bfe22	[{"from":"system","value":"You are a function calling AI model. You are provided with function signa(...TRUNCATED)	"[{\"name\": \"patch\", \"description\": \"Targeted find-and-replace edits in files. Use this instea(...TRUNCATED)	Terminal & Coding	Terminal Tasks	Look up the pytest documentation, install it, configure it for our project, and run it.
8efb11fe-4610-49cb-94ce-96cb6b8c1abd	[{"from":"system","value":"You are a function calling AI model. You are provided with function signa(...TRUNCATED)	"[{\"name\": \"patch\", \"description\": \"Targeted find-and-replace edits in files. Use this instea(...TRUNCATED)	Terminal & Coding	Terminal Tasks	Write unit tests for a Python function that calculates shipping costs. Use pytest.
0a6a4c9a-1993-4dd0-9ec4-d7debea9de50	[{"from":"system","value":"You are a function calling AI model. You are provided with function signa(...TRUNCATED)	"[{\"name\": \"patch\", \"description\": \"Targeted find-and-replace edits in files. Use this instea(...TRUNCATED)	Terminal & Coding	Terminal Tasks	"Write a Rust program that creates a simple chat server and client. Compile/run it and show the outp(...TRUNCATED)
66a5b2ab-d0c2-4bbd-b092-aa9ed1e6995b	[{"from":"system","value":"You are a function calling AI model. You are provided with function signa(...TRUNCATED)	"[{\"name\": \"patch\", \"description\": \"Targeted find-and-replace edits in files. Use this instea(...TRUNCATED)	Terminal & Coding	Terminal Tasks	"Remember that my preferred test framework is pytest with fixtures. Then help me with writing a new (...TRUNCATED)
b6c9ba44-3dd6-4023-8de6-df00decb4d00	[{"from":"system","value":"You are a function calling AI model. You are provided with function signa(...TRUNCATED)	"[{\"name\": \"patch\", \"description\": \"Targeted find-and-replace edits in files. Use this instea(...TRUNCATED)	Terminal & Coding	Terminal Tasks	Use the Docker/Modal skill to set up a cloud environment for large-scale data processing.

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Hermes Agent Reasoning Traces

Multi-turn tool-calling trajectories for training AI agents using the Hermes Agent harness. Each sample is a real agent conversation with step-by-step reasoning (<think> blocks) and actual tool execution results.

This dataset has two configs, one per source model:

Config	Model	Samples
kimi	Moonshot AI Kimi-K2.5	7,646
glm-5.1	ZhipuAI GLM-5.1-FP8	7,055

Loading

from datasets import load_dataset

# Kimi-K2.5 traces
ds = load_dataset("lambda/hermes-agent-reasoning-traces", "kimi", split="train")

# GLM-5.1 traces
ds = load_dataset("lambda/hermes-agent-reasoning-traces", "glm-5.1", split="train")

Schema

Both configs share the same schema:

Field	Type	Description
`id`	string	UUID identifier
`conversations`	list	Multi-turn dialogue (system, human, gpt, tool messages)
`tools`	string	JSON tool definitions available to the agent
`category`	string	High-level task category
`subcategory`	string	Fine-grained task type
`task`	string	Task description (from user prompt)

Conversation messages use ShareGPT format:

{"from": "system|human|gpt|tool", "value": "..."}

<think> blocks contain chain-of-thought reasoning
<tool_call> blocks contain function invocations
<tool_response> blocks contain real execution results

Statistics

Metric	kimi	glm-5.1
Samples	7,646	7,055
Total turns	185,798	134,918
Total tool calls	106,222	68,328
Avg turns per sample	24.3	19.1
Avg tool calls per sample	13.9	9.7
Avg `<think>` depth (words)	414	70

Category	kimi	glm-5.1
Terminal & Coding	2,010	2,237
Agent Tools	1,474	2,775
Repository Tasks	1,109	1,022
Browser Automation	1,048	639
Multi-Tool	807	52
File Operations	757	134
Scheduling	204	104
Planning & Organization	201	92
Conversational	36	0

Generation Details

Kimi-K2.5

Model: moonshotai/Kimi-K2.5 (MoE)
Inference: vLLM with --tool-call-parser kimi_k2 --reasoning-parser kimi_k2 --enable-auto-tool-choice

GLM-5.1

Model: zai-org/GLM-5.1-FP8
Inference: vLLM with --tool-call-parser glm47 --reasoning-parser glm45 --enable-auto-tool-choice
Serving: 3x 8xH100 nodes via load-balanced gateway
Context: 202,752 tokens max, MTP speculative decoding

Both datasets were generated using the hermes-agent-generator pipeline with real tool execution (terminal commands, file operations, browser actions) — not synthetic outputs.

Data Sources

Both datasets include trajectories across the same task categories:

Terminal & Coding — script writing, debugging, environment setup, data processing, testing, documentation
Browser Automation — Playwright-based navigation, scraping, form filling, screenshot analysis
Agent Tools — Hermes-specific capabilities: memory persistence, task delegation, skill management, todo planning, code execution, session recall
Repository Tasks — real codebase work across GitHub repos: bug fixes, feature implementation, test writing, code review, refactoring

License

Apache 2.0

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