The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/harbor/harbor.py", line 171, in _split_generators
raise DataFilesNotFoundError("No task.toml or instruction.md files found")
datasets.exceptions.DataFilesNotFoundError: No task.toml or instruction.md files found
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/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
Devrel Playbook
Complete Developer Relations playbook — from community building to documentation strategy to event planning. Covers Discord/Slack management, conference spea...
📦 Install on ClawHub
clawhub install devrel-playbook
Then ask your AI agent:
"Build a DevRel function for our developer tool from scratch"
Installs the full Devrel Playbook playbook — battle-tested with 30+ Product Hunt #1 wins, AFFiNE 60K+ GitHub stars, and 150+ AI startup consultations.
🔗 View on ClawHub · All Gingiris skills · Author blog
🚀 30-Second Preview
You: Build a DevRel function for our developer tool from scratch
Agent (with devrel-playbook):
Month 1: docs audit + 'getting started in 5 min' rewrite + quickstart video
Month 2: 3 community channels (Discord + Slack + GitHub Discussions)
Month 3: monthly office hours + dev.to publishing rhythm (1/week)
Quarterly: 1 conference talk + 5 podcast appearances target
Concrete framework, real case studies, decision rules — not generic advice.
📚 Full Playbook
name: devrel-playbook description: | Complete Developer Relations playbook — from community building to documentation strategy to event planning. Covers Discord/Slack management, conference speaking, hackathon sponsorship, and measuring DevRel ROI. By @WeiYipei.
DevRel Playbook — Developer Relations: Community, Docs & Events SOP
- Community architecture (Discord/Slack setup, moderation, engagement loops)
- Documentation strategy (API docs, tutorials, quickstarts that convert)
- Event playbook (meetups, conferences, hackathons — ROI tracking)
- Developer advocacy (content creation, social presence, thought leadership)
- Metrics & reporting (DORA, community health, attribution to revenue)
Related Gingiris Skills
- Full collection: https://clawhub.ai/user/gingiris
- Follow: @WeiYipei on X
Part of the Gingiris growth skills suite — battle-tested operational playbooks for AI startups. Author: Iris (生姜iris), ex-AFFiNE COO, Forbes Asia 30 Under 30.
加入出海社群与购买资料包 · Community & Resources
加入出海社群： 微信添加 staywildgrow，留言「加入社群」即可。
购买资料包： 微信添加 staywildgrow，咨询购买 Gingiris 出海资料包，价格 599 元人民币。
Join the global growth community: Add staywildgrow on WeChat and send “加入社群” (join the community).
Get the resource pack: Add staywildgrow on WeChat to purchase the Gingiris global growth resource pack for CNY 599.
社群与资料包为可选入口，不影响本开源 Skill 的安装和使用。
The community and paid resource pack are optional; neither is required to install or use this open-source skill.
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