mradermacher/HyWe-35B-GGUF
35B • Updated • 422
Datasets:
Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: TypeError
Message: Value.__init__() missing 1 required positional argument: 'dtype'
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 692, in get_module
config_name: DatasetInfo.from_dict(dataset_info_dict)
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 284, in from_dict
return cls(**{k: v for k, v in dataset_info_dict.items() if k in field_names})
File "<string>", line 20, in __init__
File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 170, in __post_init__
self.features = Features.from_dict(self.features)
~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2023, in from_dict
obj = generate_from_dict(dic)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1602, in generate_from_dict
return {key: generate_from_dict(value) for key, value in obj.items()}
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1621, in generate_from_dict
return class_type(**{k: v for k, v in obj.items() if k in field_names})
TypeError: Value.__init__() missing 1 required positional argument: 'dtype'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.
HyWe-Search-SFT-Data
Text-only, multi-turn training data for search agents. Conversations combine reasoning, web search, page reading, code execution and final answers in a consistent tool-use format.
At a glance
| Property | Value |
|---|---|
| Split | train |
| Training samples | 10,012 |
| Modality | Text |
| Record format | JSONL containing multi-turn messages |
| Context format | 128K |
| Context-fold watermarks | 131,072 / 65,536 tokens |
| Tool names | search, visit, code_sandbox |
| Language | English |
| License | Apache-2.0 |
Training file
train_aquila_v2_multiturn_128k.jsonl contains one conversation per line.
The file is approximately 3.35 GB; stream records when inspecting it.
Conversation format
Each record contains a messages list. Every message has a role and text
content:
system Search-agent instructions and tool definitions
user Task, plus earlier interaction history when applicable
assistant <think>...</think> and <tool_call>{...}</tool_call>
user Tool observation
assistant Next reasoning and tool call
... Additional interaction turns
assistant <think>...</think> and <answer>...</answer>
The assistant uses the same tool names and argument structure throughout:
| Tool | Arguments |
|---|---|
search |
query: a list of search queries |
visit |
url, goal |
code_sandbox |
language, code |
Long interactions are split at context boundaries. Earlier history is included in the next record, with older observations folded and recent context retained. The final part contains the answer. Records can be used for supervised fine-tuning on their assistant turns.
Download and read
hf download yzxjb/HyWe-Search-SFT-Data train_aquila_v2_multiturn_128k.jsonl \
--repo-type dataset --local-dir hywe-search-data
import json
from pathlib import Path
path = Path("hywe-search-data/train_aquila_v2_multiturn_128k.jsonl")
with path.open(encoding="utf-8") as handle:
sample = json.loads(next(handle))
messages = sample["messages"]
print(len(messages), messages[0]["role"])
💻 Training and message-format tools
License
Apache-2.0.
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