Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: ReadTimeout
Message: The read operation timed out
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/httpx/_transports/default.py", line 101, in map_httpcore_exceptions
yield
File "/usr/local/lib/python3.14/site-packages/httpx/_transports/default.py", line 127, in __iter__
for part in self._httpcore_stream:
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/httpcore/_sync/connection_pool.py", line 407, in __iter__
raise exc from None
File "/usr/local/lib/python3.14/site-packages/httpcore/_sync/connection_pool.py", line 403, in __iter__
for part in self._stream:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/httpcore/_sync/http11.py", line 342, in __iter__
raise exc
File "/usr/local/lib/python3.14/site-packages/httpcore/_sync/http11.py", line 334, in __iter__
for chunk in self._connection._receive_response_body(**kwargs):
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/httpcore/_sync/http11.py", line 203, in _receive_response_body
event = self._receive_event(timeout=timeout)
File "/usr/local/lib/python3.14/site-packages/httpcore/_sync/http11.py", line 217, in _receive_event
data = self._network_stream.read(
self.READ_NUM_BYTES, timeout=timeout
)
File "/usr/local/lib/python3.14/site-packages/httpcore/_backends/sync.py", line 126, in read
with map_exceptions(exc_map):
~~~~~~~~~~~~~~^^^^^^^^^
File "/usr/local/lib/python3.14/contextlib.py", line 162, in __exit__
self.gen.throw(value)
~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
raise to_exc(exc) from exc
httpcore.ReadTimeout: The read operation timed out
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 179, in _generate_tables
training_examples = convert_traces_to_training_data(trace_file)
File "/usr/local/lib/python3.14/site-packages/teich/converter.py", line 3635, in convert_traces_to_training_data
rows.extend(_convert_jsonl_file_to_training_rows(path))
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/teich/converter.py", line 3596, in _convert_jsonl_file_to_training_rows
rows = load_trace_file(jsonl_file)
File "/usr/local/lib/python3.14/site-packages/teich/converter.py", line 3025, in load_trace_file
for raw_line in handle:
^^^^^^
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_file_system.py", line 1238, in read
return super().read(length)
~~~~~~~~~~~~^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/fsspec/spec.py", line 1897, in read
out = self.cache._fetch(self.loc, self.loc + length)
File "/usr/local/lib/python3.14/site-packages/fsspec/caching.py", line 234, in _fetch
self.cache = self.fetcher(start, end) # new block replaces old
~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_file_system.py", line 1194, in _fetch_range
r = http_backoff("GET", url, headers=headers, timeout=constants.HF_HUB_DOWNLOAD_TIMEOUT)
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/utils/_http.py", line 559, in http_backoff
return next(
_http_backoff_base(
...<9 lines>...
)
)
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/utils/_http.py", line 479, in _http_backoff_base
raise err
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/utils/_http.py", line 467, in _http_backoff_base
response = client.request(method=method, url=url, **kwargs)
File "/usr/local/lib/python3.14/site-packages/httpx/_client.py", line 825, in request
return self.send(request, auth=auth, follow_redirects=follow_redirects)
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/httpx/_client.py", line 928, in send
raise exc
File "/usr/local/lib/python3.14/site-packages/httpx/_client.py", line 922, in send
response.read()
~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/httpx/_models.py", line 881, in read
self._content = b"".join(self.iter_bytes())
~~~~~~~~^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/httpx/_models.py", line 897, in iter_bytes
for raw_bytes in self.iter_raw():
~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/httpx/_models.py", line 951, in iter_raw
for raw_stream_bytes in self.stream:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/httpx/_client.py", line 153, in __iter__
for chunk in self._stream:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/httpx/_transports/default.py", line 126, in __iter__
with map_httpcore_exceptions():
~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/contextlib.py", line 162, in __exit__
self.gen.throw(value)
~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/httpx/_transports/default.py", line 118, in map_httpcore_exceptions
raise mapped_exc(message) from exc
httpx.ReadTimeout: The read operation timed outNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
OptiQ Lab Traces
Research and tool-calling sessions produced by OptiQ Lab, the local web UI that ships with mlx-optiq. Each session is a complete run: a deep-research report built from live web sources, or a multi-turn agent loop driving the Lab's own sandboxed tools.
The dataset is 866 sessions in HuggingFace Session-Traces format (the agent-traces viewer). Each .jsonl file is one session: a header line carrying the run's metadata, then one message per turn.
The two halves
| sessions | what a trace contains | |
|---|---|---|
| Deep research | 605 | plan → first draft → rounds of draft-driven search → cited report |
| Chat | 261 | a tool-calling agent loop over web_search, python and terminal |
Deep research runs the TTD-DR loop: the model plans, writes a noisy first draft, and then each round searches against the draft's own gaps and folds the retrieved sources back in. Every model call in that loop appears as the prompt sent and the completion returned.
Chat is a genuine agent loop. The model chooses a tool, the Lab executes it in a sandboxed container, the result returns, and the model decides again. These traces carry real toolCalls and toolCallId records.
Session header
Every session line carries mode (deep_research or chat), model, domain, ok, and elapsed_s.
Research sessions add:
| field | meaning |
|---|---|
sources |
pages actually retrieved and read |
citations |
distinct source markers used in the report body |
report_chars |
length of the final report |
model_calls |
model calls the loop made |
Chat sessions add:
| field | meaning |
|---|---|
turns_used |
assistant turns |
tool_calls |
tool calls issued |
tools_used |
which of the three tools appeared |
citations counts markers in the prose, not the appended reference list, so a run that retrieved five sources and cited none reads as sources: 5, citations: 0.
Loading
from datasets import load_dataset
ds = load_dataset("mlx-community/optiq-lab-traces", split="train")
# one session = one file; the header line carries the metadata
sessions = [r for r in ds if r["type"] == "session"]
research = [s for s in sessions if s["mode"] == "deep_research"]
Generation
Research traces were generated against a local OpenAI-compatible endpoint served by optiq serve; chat traces against deepseek/deepseek-v4-flash-0731. The model field records which, per session. Questions and tasks span 43 domains for research and 25 for chat, from ML systems and cryptography through epidemiology and public policy.
The chat tools ran in the Lab's own sandbox: a container with no network and the Python standard library, which is why those traces use math, statistics, json, csv and itertools rather than numpy or pandas.
Related
- OptiQ Code Traces — agentic software-engineering trajectories in the same format
- mlx-optiq — the toolkit that produced these
- OptiQ Lab — quantize, fine-tune, research and chat, locally
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