Datasets:

DJLougen
/

Talos-kimi-k2.6-Hermes-synthetic

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
conversations: list<item: struct<from: string, value: string>>
  child 0, item: struct<from: string, value: string>
      child 0, from: string
      child 1, value: string
messages: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
thinking: string
format_version: string
source_session_id: string
trace_length: int64
quality_score: double
error_class: string
tags: list<item: string>
  child 0, item: string
to
{'messages': List({'role': Value('string'), 'content': Value('string')}), 'thinking': Value('string'), 'quality_score': Value('float64'), 'error_class': Value('string'), 'format_version': Value('string'), 'source_session_id': Value('string'), 'trace_length': Value('int64'), 'tags': List(Value('string'))}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              conversations: list<item: struct<from: string, value: string>>
                child 0, item: struct<from: string, value: string>
                    child 0, from: string
                    child 1, value: string
              messages: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              thinking: string
              format_version: string
              source_session_id: string
              trace_length: int64
              quality_score: double
              error_class: string
              tags: list<item: string>
                child 0, item: string
              to
              {'messages': List({'role': Value('string'), 'content': Value('string')}), 'thinking': Value('string'), 'quality_score': Value('float64'), 'error_class': Value('string'), 'format_version': Value('string'), 'source_session_id': Value('string'), 'trace_length': Value('int64'), 'tags': List(Value('string'))}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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messages list	quality_score float64	error_class string	format_version string	source_session_id string	trace_length int64	tags list
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Write a haiku about debugging code." }, { "role": "assistant", "content": "Red ...	0.64	none	ornstein-v2	20260422_112308_001	254	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Implement a basic LRU cache in Python with O(1) get/put." }, { "role": "assistant",...	0.78	none	ornstein-v2	20260422_112336_002	3,316	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "If a train leaves at 8 AM traveling 60 mph and another leaves at 9 AM at 90 mph, when does ...	0.76	none	ornstein-v2	20260422_112358_003	918	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Write a shell script that backs up a directory with rotation." }, { "role": "assist...	0.78	syntax_error	ornstein-v2	20260422_112402_004	5,798	[ "general", "syntax_error" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Explain the halting problem in simple terms." }, { "role": "assistant", "conten...	0.78	reasoning_error	ornstein-v2	20260422_112501_005	2,053	[ "general", "reasoning_error" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Look up the difference between HTTP/2 and HTTP/3." }, { "role": "assistant", "c...	0.78	reasoning_error	ornstein-v2	20260422_112513_006	5,151	[ "general", "reasoning_error" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Create a FastAPI endpoint that accepts a file upload and validates MIME type." }, { ...	0.78	syntax_error	ornstein-v2	20260422_112530_007	6,470	[ "general", "syntax_error" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Search for a healthy vegetarian dinner recipe." }, { "role": "assistant", "cont...	0.78	none	ornstein-v2	20260422_112609_008	2,597	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Write a SQL query to find the second highest salary per department." }, { "role": "...	0.78	none	ornstein-v2	20260422_112622_009	2,404	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "I want to learn about LLMs. Ask my current ML knowledge level." }, { "role": "assis...	0.73	none	ornstein-v2	20260422_112648_010	1,108	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Create a Python script that monitors a directory for new files." }, { "role": "assi...	0.78	syntax_error	ornstein-v2	20260422_112652_011	5,858	[ "general", "syntax_error" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "A cube has volume 64. What's the surface area?" }, { "role": "assistant", "cont...	0.68	none	ornstein-v2	20260422_112742_012	391	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Draft a README.md for a fictional Python library called 'quantum-cats'." }, { "role...	0.78	none	ornstein-v2	20260422_112745_013	5,790	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Find the release date of the next GTA game." }, { "role": "assistant", "content...	0.78	none	ornstein-v2	20260422_112807_014	1,532	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Implement binary search in Python with recursive and iterative versions." }, { "rol...	0.78	none	ornstein-v2	20260422_112820_015	3,145	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Create a Docker Compose file for a PostgreSQL + Redis stack." }, { "role": "assista...	0.78	reasoning_error	ornstein-v2	20260422_112834_016	2,614	[ "general", "reasoning_error" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Write a job posting for a senior MLOps engineer." }, { "role": "assistant", "co...	0.78	none	ornstein-v2	20260422_112914_017	5,362	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Find the melting point of gallium." }, { "role": "assistant", "content": "The m...	0.69	none	ornstein-v2	20260422_112933_018	530	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Look up the population of Canada and compare it to Australia." }, { "role": "assist...	0.75	none	ornstein-v2	20260422_112938_019	1,354	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "I need to improve my team's CI/CD. Ask about current stack and pain points." }, { "...	0.78	none	ornstein-v2	20260422_112947_020	2,267	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Solve: 3x + 7 = 2(x - 1) + 15. Show your work." }, { "role": "assistant", "cont...	0.72	none	ornstein-v2	20260422_112955_021	714	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Draft a tweet thread (3 tweets) explaining neural networks simply." }, { "role": "a...	0.71	none	ornstein-v2	20260422_113000_022	809	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Build a Python generator that yields Fibonacci numbers indefinitely." }, { "role": ...	0.75	none	ornstein-v2	20260422_113020_023	1,207	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Look up the rules of Cricket in 3 sentences." }, { "role": "assistant", "conten...	0.7	none	ornstein-v2	20260422_113027_024	692	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Build a simple REST API in Flask with CRUD for a Todo list." }, { "role": "assistan...	0.78	none	ornstein-v2	20260422_113034_025	3,666	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Write a recipe for 'Error 404 Soup' in a humorous style." }, { "role": "assistant",...	0.78	syntax_error	ornstein-v2	20260422_113050_026	4,170	[ "general", "syntax_error" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Implement merge sort in Python and explain the time complexity." }, { "role": "assi...	0.78	none	ornstein-v2	20260422_113116_027	3,086	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Help me choose a laptop. Ask about my use case and budget." }, { "role": "assistant...	0.72	none	ornstein-v2	20260422_113129_028	839	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Create a comparison table: Python vs Rust for systems programming." }, { "role": "a...	0.78	syntax_error	ornstein-v2	20260422_113135_029	2,661	[ "general", "syntax_error" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "I want to start a blog. Ask questions to help me pick a niche." }, { "role": "assis...	0.63	none	ornstein-v2	20260422_113152_030	1,943	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Draft a professional email requesting a deadline extension." }, { "role": "assistan...	0.78	none	ornstein-v2	20260422_113205_031	2,042	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Look up the chemical formula for caffeine." }, { "role": "assistant", "content"...	0.68	none	ornstein-v2	20260422_113218_032	516	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Help me plan a 3-day trip to New York. Ask what I like to do first." }, { "role": "...	0.73	none	ornstein-v2	20260422_113223_033	1,063	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "I want to learn a new programming language. Recommend one and ask about my background." }...	0.72	none	ornstein-v2	20260422_113229_034	984	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "I want to build a mobile app. Ask about platform and feature requirements." }, { "r...	0.78	none	ornstein-v2	20260422_113238_035	1,650	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "I need to refactor legacy code. Ask about the codebase details." }, { "role": "assi...	0.78	none	ornstein-v2	20260422_113246_036	1,942	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Look up the definition of 'antidisestablishmentarianism'." }, { "role": "assistant"...	0.74	none	ornstein-v2	20260422_113254_037	1,266	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Find the current weather in Tokyo and suggest what to wear." }, { "role": "assistan...	0.76	none	ornstein-v2	20260422_113300_038	1,412	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Search for the plot summary of 'Dune: Part Two'." }, { "role": "assistant", "co...	0.78	reasoning_error	ornstein-v2	20260422_113308_039	4,491	[ "general", "reasoning_error" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "I need a database for my app. Ask about scale and requirements to suggest the right one." ...	0.78	none	ornstein-v2	20260422_113323_040	1,757	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "If it takes 5 machines 5 minutes to make 5 widgets, how long for 100 machines to make 100 w...	0.69	none	ornstein-v2	20260422_113331_041	580	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Look up the top 3 programming languages in 2024 by popularity." }, { "role": "assis...	0.78	reasoning_error	ornstein-v2	20260422_113335_042	1,653	[ "general", "reasoning_error" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Help me pick a cloud provider. Ask about workload and compliance needs." }, { "role...	0.78	none	ornstein-v2	20260422_113349_043	1,928	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "A rope burns in 60 minutes. You have two ropes. Measure 45 minutes." }, { "role": "...	0.74	none	ornstein-v2	20260422_113357_044	1,079	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Help me design a logo. Ask about brand values and style preferences." }, { "role": ...	0.77	none	ornstein-v2	20260422_113408_045	1,484	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Explain the difference between correlation and causation with examples." }, { "role...	0.78	reasoning_error	ornstein-v2	20260422_113414_046	4,711	[ "general", "reasoning_error" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Write a dialogue between a skeptic and an AI researcher." }, { "role": "assistant",...	0.78	reasoning_error	ornstein-v2	20260422_113427_047	5,707	[ "general", "reasoning_error" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Write a limerick about machine learning." }, { "role": "assistant", "content": ...	0.66	none	ornstein-v2	20260422_113456_048	304	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "If you flip a fair coin 4 times, what's the probability of at least 3 heads?" }, { ...	0.72	none	ornstein-v2	20260422_113625_049	864	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "A farmer has 17 sheep and all but 9 die. How many are left?" }, { "role": "assistan...	0.68	none	ornstein-v2	20260422_113631_050	397	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Implement a Bloom filter in Python and explain false positives." }, { "role": "assi...	0.78	syntax_error	ornstein-v2	20260422_113633_051	6,397	[ "general", "syntax_error" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Create a Makefile target that runs linting, tests, and builds a wheel." }, { "role"...	0.78	syntax_error	ornstein-v2	20260422_113708_052	2,510	[ "general", "syntax_error" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Search for a summary of the 2024 Nobel Prize in Physics." }, { "role": "assistant",...	0.74	none	ornstein-v2	20260422_113721_053	1,204	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Search for the tallest building in the world and its height." }, { "role": "assista...	0.71	none	ornstein-v2	20260422_113729_054	883	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Help me set up a home server. Ask about use cases and hardware budget." }, { "role"...	0.78	none	ornstein-v2	20260422_113733_055	1,806	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Help me meal prep for the week. Ask dietary restrictions and preferences." }, { "ro...	0.76	reasoning_error	ornstein-v2	20260422_113741_056	1,271	[ "general", "reasoning_error" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Write a Python context manager that temporarily changes the working directory." }, { ...	0.78	syntax_error	ornstein-v2	20260422_113749_057	2,843	[ "general", "syntax_error" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "I need help with a project. Ask me clarifying questions to figure out what I need." }, ...	0.76	none	ornstein-v2	20260422_113801_058	1,488	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Solve the tower of Hanoi for 4 disks step by step." }, { "role": "assistant", "...	0.78	none	ornstein-v2	20260422_113809_059	2,060	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "I want to contribute to open source. Ask about my skills and interests." }, { "role...	0.78	none	ornstein-v2	20260422_113833_060	1,861	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Write a resignation letter that is polite but firm." }, { "role": "assistant", ...	0.78	none	ornstein-v2	20260422_113839_061	1,922	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Create a marketing slogan for a time-travel app." }, { "role": "assistant", "co...	0.7	none	ornstein-v2	20260422_113846_062	709	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Explain the pigeonhole principle and give a surprising application." }, { "role": "...	0.78	reasoning_error	ornstein-v2	20260422_113853_063	2,445	[ "general", "reasoning_error" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Build a GitHub Actions workflow that runs pytest on push." }, { "role": "assistant"...	0.78	none	ornstein-v2	20260422_113915_064	2,450	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "I need a resume review. Ask about target roles and experience level." }, { "role": ...	0.71	none	ornstein-v2	20260422_113927_065	861	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Explain Gödel's incompleteness theorems at a high level." }, { "role": "assistant",...	0.78	none	ornstein-v2	20260422_113933_066	3,640	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Search for the distance between Earth and Mars right now." }, { "role": "assistant"...	0.61	none	ornstein-v2	20260422_113956_067	1,472	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Help me debug a slow query. Ask about the schema and indexes." }, { "role": "assist...	0.78	none	ornstein-v2	20260422_114005_068	1,563	[ "general" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Explain the Monty Hall problem and why switching is optimal." }, { "role": "assista...	0.78	reasoning_error	ornstein-v2	20260422_114010_069	3,964	[ "general", "reasoning_error" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Implement a thread-safe producer-consumer queue in Python." }, { "role": "assistant...	0.78	syntax_error	ornstein-v2	20260422_114026_070	7,705	[ "general", "syntax_error" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Write a TypeScript function that debounces user input." }, { "role": "assistant", ...	0.78	syntax_error	ornstein-v2	20260422_114105_071	2,682	[ "general", "syntax_error" ]
[ { "role": "system", "content": "You are Hermes Agent, a helpful and creative AI agent capable of reasoning, tool use, and multi-turn collaboration. Think step by step.‌‍" }, { "role": "user", "content": "Find the current exchange rate USD to EUR." }, { "role": "assistant", "content"...	0.74	none	ornstein-v2	20260422_114204_072	1,074	[ "general" ]

End of preview.

Talos Curated — kimi-k2.6 Hermes Synthetic

A curated, error-masked dataset of 993 synthetic agentic traces generated by kimi-k2.6 via cloud API and processed through the Talos trace curation pipeline.

Pipeline source code: github.com/DJLougen/TALOS-trace-curator

Provenance

Attribute	Value
Generator model	kimi-k2.6 (via cloud API)
Generation harness	Hermes Agent synthetic scenario pipeline
Scenarios	Coding, reasoning, creative writing, tool use, science, history, business, philosophy, general knowledge
Curated by	`trace_processor.py` (Talos pipeline)
Pipeline source	github.com/DJLougen/TALOS-trace-curator
Pipeline steps	Anonymization → Quality scoring → 5-factor error classification → Lexical deduplication
PII redaction	Regex-based + optional LLM pass (enabled for this dataset)

Collection Methodology

Scenario generation: 1,000 diverse multi-turn prompts were generated covering 10+ domains (coding, reasoning, creative writing, science, history, business, philosophy, tool use, general knowledge, and safety edge cases).
Trace generation: Each scenario was fed to kimi-k2.6 via cloud API to produce synthetic agentic conversation traces.
Format normalization: Raw traces were converted into a unified Axolotl-native messages format with thinking, quality_score, error_class, and tags fields.
Quality scoring: Every trace was scored on a 0.0–1.0 composite scale across 6 dimensions (see Quality Scoring).
Error classification: Each trace was classified into one of six error categories (see Error Taxonomy).
Deduplication: Exact lexical duplicates were removed (7 duplicates dropped).
Error masking: data_clean.jsonl contains only traces with error_class == "none", suitable for clean supervised fine-tuning.

Dataset Structure

Files

File	Rows	Description
`data.jsonl`	993	Full curated dataset (Axolotl `messages` format)
`data_clean.jsonl`	761	Error-masked subset — only clean traces
`sharegpt.jsonl`	993	Classic ShareGPT `conversations` format
`README.md`	—	This dataset card
`plots.png`	—	Distribution visualizations

Schema (Axolotl format)

{
  "messages": [
    {"role": "system", "content": "You are Hermes Agent..."},
    {"role": "user", "content": "..."},
    {"role": "assistant", "content": "..."}
  ],
  "thinking": "<thinking>optional reasoning chain</thinking>",
  "quality_score": 0.78,
  "error_class": "none",
  "format_version": "ornstein-v2",
  "source_session_id": "20260422_112308_001",
  "trace_length": 254,
  "tags": ["coding"]
}

Field	Type	Description
`messages`	list[dict]	Multi-turn conversation in Axolotl `messages` format
`thinking`	str	Extracted reasoning / chain-of-thought blocks (if present)
`quality_score`	float	Composite quality score (0.0–1.0)
`error_class`	str	One of `none`, `tool_failure`, `syntax_error`, `reasoning_error`, `safety_refusal`, `timeout_stall`
`format_version`	str	Pipeline version fingerprint
`source_session_id`	str	Original trace UUID
`trace_length`	int	Estimated token count
`tags`	list[str]	Scenario category tags

Statistics

Overall

Metric	Value
Total traces	993
Raw traces before dedup	1,000
Exact duplicates removed	7
Error-free traces	761 (76.6%)
Average quality score	0.76
Quality range	0.51 – 0.79
Average messages per trace	3.0
Average tokens per trace	2,919
Token range	184 – 15,574

Quality Score Distribution

Bucket	Count
0.50 – 0.60	6
0.60 – 0.70	85
0.70 – 0.80	902

Error Class Distribution

Class	Count	Percentage
`none`	761	76.6%
`reasoning_error`	120	12.1%
`syntax_error`	78	7.9%
`timeout_stall`	18	1.8%
`tool_failure`	15	1.5%
`safety_refusal`	1	0.1%

Quality Scoring

Each trace receives a composite quality_score (0.0–1.0) computed as a weighted sum across six independent dimensions. The score is reported but never used to filter — every trace is retained so downstream users can set their own thresholds.

Composite Formula

quality_score = (reasoning_depth  × 0.20)
                + (structure        × 0.20)
                + (tool_calls       × 0.15)
                + (coherence        × 0.15)
                + (length           × 0.15)
                + (refusal          × 0.15)

All six sub-scores are themselves bounded [0.0, 1.0]. The final composite is also clamped to [0.0, 1.0].

Dimension Breakdown

1. Reasoning Depth (20%)

Measures whether the trace contains explicit reasoning blocks and substantial messages.

thinking_hits = count of <thinking>, <reasoning>, <thought>, <analyze> tags in trace
substantial   = count of messages with >100 characters
score = min(1.0, thinking_hits × 0.15 + substantial × 0.10)

A trace with 4 thinking tags and 6 substantial messages scores min(1.0, 0.6 + 0.6) = 1.0.
A bare system→user→assistant turn with no thinking blocks scores ~0.1–0.2.
Why kimi traces cluster at 0.70–0.80: Most generated traces have substantial assistant turns but few explicit <thinking> blocks, so they score in the 0.60–0.80 range.

2. Structural Integrity (20%)

Checks the presence of core conversational elements. This is a step-function score built from four boolean checks:

Check	Contribution	Condition
Messages present	+0.30	At least one message in the `messages` array
Thinking tags	+0.30	Any `<thinking>`, `<reasoning>`, `<thought>`, or `<analyze>` block
Tool ecosystem	+0.20	Both `<tool_call>` and `<tool_result>` present, or no tool tags at all (non-tool traces get full credit)
Assistant reply	+0.20	At least one message with role `assistant` or `gpt`

score = min(1.0, sum of contributions above)

Traces missing an assistant turn max out at 0.80.
Traces with tool calls but no results (orphaned calls) max out at 0.80.

3. Tool-Call Validity (15%)

Validates JSON syntax inside tool invocation blocks.

if no <tool_call> or <invoke> tags:
    score = 1.0  # non-tool trace gets full credit
else:
    blocks = extract content between <tool_call>...</tool_call>
    if no blocks found:
        score = 0.5  # tags present but empty/malformed
    else:
        valid = count of blocks that parse as JSON
        score = valid / len(blocks)

All valid JSON blocks → 1.0
Mixed valid/invalid → proportional (e.g., 2 valid / 4 blocks = 0.5)
Why pi-mono scores lower here: Many coding-agent traces contain <tool_call> blocks with Python code instead of JSON, or truncated JSON, dragging the average down.

4. Multi-Turn Coherence (15%)

Measures conversation flow via turn alternation and length balance.

if fewer than 2 messages:
    score = 0.3
if no user messages or no assistant messages:
    score = 0.3
if avg_assistant_length < 20 chars and avg_user_length > 50 chars:
    score = 0.2  # penalty for very short assistant replies

# Turn alternation
switches = count of adjacent message pairs with different roles
ratio    = switches / (total_messages - 1)
score    = 0.5 + (ratio × 0.5)

Perfect alternation (user→assistant→user→assistant) → ratio = 1.0 → score = 1.0
All same role → ratio = 0.0 → score = 0.5
Short assistant replies relative to user prompts → 0.2 (common in stalls/refusals)

5. Length Filter (15%)

Penalizes traces outside the 256–32,768 token window.

tokens = len(all_text.split())  # rough word-count heuristic
if tokens < 256:
    score = tokens / 256
elif tokens > 32768:
    score = max(0.0, 1.0 - ((tokens - 32768) / 32768))
else:
    score = 1.0

A 128-token trace scores 0.5
A 65,536-token trace scores 0.0
Pi-mono has massive variance: One trace hits 661K tokens (likely a file dump), scoring near 0.0 on this dimension alone.

6. Refusal Detection (15%)

Penalizes traces where the assistant refuses to engage.

refusal_patterns = [
    r"i\s+can'?t?\s+(?:help|do|assist)",
    r"i'?m\s+sorry",
    r"i\s+(?:don't|do not)\s+know",
    r"unable\s+to",
    r"not\s+(?:able|allowed)\s+to",
]

refusal_count = assistant messages matching any pattern
ratio         = refusal_count / len(assistant_messages)
if ratio > 0.5:
    score = 0.0
else:
    score = 1.0 - ratio

No refusals → 1.0
1 refusal in 4 assistant turns → 0.75
More than 50% refusals → 0.0
Why this matters for synthetic data: Some generators default to refusals on edge-case prompts; this dimension surfaces them without deleting the trace.

Interpreting Scores in This Dataset

Range	What It Means	Count (kimi)	Count (pi-mono)
0.30 – 0.50	Severely truncated, very short, or mostly refusals	0	20
0.50 – 0.60	Below-average length or structure issues	6	119
0.60 – 0.70	Decent but missing thinking blocks or has minor tool errors	85	263
0.70 – 0.80	Good structure, substantial content, clean execution	902	209
0.80 – 1.00	Excellent (rare in this pipeline due to strict thresholds)	0	0

Why the ceiling is ~0.79: Achieving 1.0 requires perfect tool JSON, thinking blocks, perfect alternation, and no refusals — simultaneously. The scoring is intentionally strict so that even "good" traces score in the 0.70s, leaving headroom for truly exceptional traces.

Recommended thresholds:

Conservative clean training: quality_score >= 0.70 + error_class == "none"
Balanced mix: quality_score >= 0.60 + error_class == "none"
Research / full diversity: Use all traces, weight by quality_score during training

Error Taxonomy

Each trace is assigned exactly one label (first match wins):

Label	Trigger Patterns
`tool_failure`	HTTP errors, connection refused, API timeout, rate limits, SSL/DNS errors
`syntax_error`	Malformed JSON in tool calls, code syntax failures, parsing errors
`reasoning_error`	Logical contradictions, wrong answers despite valid execution, hallucinations
`safety_refusal`	Policy violation, inappropriate content, "I can't help" refusals
`timeout_stall`	Trace ended prematurely, empty assistant replies, stalled execution
`none`	Clean trace — no error indicators detected

Plots

Figure 1 — Dataset distributions. Left: Quality score histogram with mean (red dashed line). Center: Error class breakdown (green = clean, red = errors). Right: Messages per trace distribution.

Usage

Load with HuggingFace `datasets`

from datasets import load_dataset

# Full dataset
ds = load_dataset("DJLougen/Talos-kimi-k2.6-Hermes-synthetic", split="train")

# Error-masked clean subset
ds_clean = load_dataset(
    "DJLougen/Talos-kimi-k2.6-Hermes-synthetic",
    data_files={"train": "data_clean.jsonl"},
    split="train"
)

Filter by quality score

high_quality = ds.filter(lambda x: x["quality_score"] >= 0.75)
print(f"Kept {len(high_quality)} / {len(ds)} traces")

Inspect error classes

from collections import Counter
errors = Counter(ds["error_class"])
print(errors)
# Counter({'none': 761, 'reasoning_error': 120, ...})

Convert to ShareGPT format

# Already provided as sharegpt.jsonl, or convert on the fly:
sharegpt_entries = [{
    "conversations": entry["messages"],
    "quality_score": entry["quality_score"],
    "error_class": entry["error_class"],
} for entry in ds]

Intended Use & Limitations

Best for:

General supervised fine-tuning (SFT) of conversational/agentic models
Domain-specific fine-tuning across coding, reasoning, creative writing, and tool use
Training data augmentation alongside other datasets
Research on synthetic data quality and error taxonomy

Not recommended for:

Replacement of real human-generated conversation data
Safety-critical applications without additional red-teaming (synthetic data may not capture all real-world edge cases)
Scenarios requiring strict factual grounding (some traces may contain hallucinations, flagged as reasoning_error)

Known limitations:

Traces are synthetic; distribution may not match real user behavior
Thinking blocks are not guaranteed in every trace (0 present in this dataset due to generation format)
Tool calls are simulated; actual tool execution was not performed during generation
Single-turn bias: all traces have exactly 3 messages (system + user + assistant)

Axolotl / Unsloth Config

Axolotl YAML snippet

datasets:
  - path: DJLougen/Talos-kimi-k2.6-Hermes-synthetic
    ds_type: json
    type: messages
    conversation: messages
    # Source: Synthetic traces generated by kimi-k2.6 via Talos pipeline

split: train
val_size: 0.05

Unsloth quick-start

from unsloth import FastLanguageModel
from datasets import load_dataset

model, tokenizer = FastLanguageModel.from_pretrained(
    model_name="unsloth/Llama-3.2-3B-Instruct",
    max_seq_length=32768,
)

ds = load_dataset("DJLougen/Talos-kimi-k2.6-Hermes-synthetic", split="train")
# Use ds["messages"] for conversational SFT

License & Citation

License: MIT — synthetic data generated for training purposes.

Suggested citation:

@dataset{talos_kimi_2026,
  author    = {DJLougen},
  title     = {Talos Curated — kimi-k2.6 Hermes Synthetic},
  year      = {2026},
  publisher = {HuggingFace},
  url       = {https://huggingface.co/datasets/DJLougen/Talos-kimi-k2.6-Hermes-synthetic}
}

Contact: Created by DJLougen as part of the Talos agentic trace curation pipeline.

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