Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: KeyError
Message: 'name'
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
config_names = get_dataset_config_names(
path=dataset,
token=hf_token,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
path,
...<4 lines>...
**download_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1182, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1157, in dataset_module_factory
).get_module()
~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 614, in get_module
dataset_infos = DatasetInfosDict.from_dataset_card_data(dataset_card_data)
File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 399, in from_dataset_card_data
dataset_info = DatasetInfo._from_yaml_dict(dataset_card_data["dataset_info"])
File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 317, in _from_yaml_dict
yaml_data["features"] = Features._from_yaml_list(yaml_data["features"])
~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2230, in _from_yaml_list
return cls.from_dict(from_yaml_inner(yaml_data))
~~~~~~~~~~~~~~~^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2226, in from_yaml_inner
return {name: from_yaml_inner(_feature) for name, _feature in zip(names, obj)}
~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2221, in from_yaml_inner
return from_yaml_inner(obj["dtype"])
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2225, in from_yaml_inner
names = [_feature.pop("name") for _feature in obj]
~~~~~~~~~~~~^^^^^^^^
KeyError: 'name'Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Laya Training Data — Agent Trace Decisions
Finetuning data derived from LocalLLaMA/typed-decisions, formatted for training laya, a decision model that scores AI agent traces and decides how an observability system should handle them.
What is this dataset?
Each example corresponds to a single AI agent trace and asks five typed decision questions about how an observability system should handle that trace:
- action (choice): What should the observability system do with this trace? (
continue,human_review,observe,stop) - needs_review (noul): Does this trace require human attention? (
true/false) - outcome (choice): How did the agent run turn out? (
success,partial,failure,harmful) - risk (score 0–3): How risky was the agent's behaviour?
- urgency (score 0–3): How quickly does the trace need attention?
Structure
state: context describing the agent run — model, autonomy level, constraints, task, and a numeric trace summary (steps, duration, tool errors, irreversible actions, constraint violations).questions: per-question instructions, response criteria and the question type (choice,score,noul).gold: gold labels with calibrated probabilities, confidence, and (for scores) the mean score across annotators.
Data format
The dataset is stored as JSONL (.jsonl): one JSON object per line, with the fields state, questions and gold.
Splits
| Split | Examples |
|---|---|
| train | 1,200 |
| test | 400 |
Usage
from datasets import load_dataset
ds = load_dataset("json", data_files="data/train.jsonl")
example = ds["train"][0]
License
MIT. Derived from LocalLLaMA/typed-decisions.
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