Datasets:
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.
Github Stars Playbook
A 14-day sprint to rapidly grow GitHub stars for your repository. Tactical day-by-day plan covering Show HN, Reddit, Twitter/X threads, and GitHub Trending m...
📦 Install on ClawHub
clawhub install github-stars-playbook
Then ask your AI agent:
"I just open-sourced my AI tool. Get to 1k GitHub stars in 30 days"
Installs the full Github Stars 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: I just open-sourced my AI tool. Get to 1k GitHub stars in 30 days
Agent (with github-stars-playbook):
Day 1-3: README cover + 30-sec demo GIF + 5 'good first issue's
Day 4-7: soft launch in 3 niche communities (NOT r/programming)
Day 8-10: Show HN on Tuesday 13-15 UTC (template included)
Day 11-30: 2 dev.to long posts/week + daily Twitter build-in-public
Target: GitHub Trending week 3-4 via consistent star velocity
Concrete framework, real case studies, decision rules — not generic advice.
📚 Full Playbook
name: github-stars-playbook description: | A 14-day sprint to rapidly grow GitHub stars for your repository. Tactical day-by-day plan covering Show HN, Reddit, Twitter/X threads, and GitHub Trending mechanics. Follow @WeiYipei on X for developer marketing tips.
Get GitHub Stars Fast — 14-Day Growth Sprint
📦 Install
clawhub install github-stars-playbook
What you get after installing:
- Month-over-month 300+ star growth system (content rhythm + community ops)
- Contributor & Ambassador recruitment framework
- Event-driven growth playbook (Hacktoberfest, launches, milestones)
Stop waiting for organic discovery. This is the 14-day blitz to hit GitHub Trending.
- Day-by-day plan: Exactly what to post, where, and when
- Show HN strategy: Title formulas and timing that reach the front page
- Reddit playbook: Which subreddits, what format, how to avoid bans
- Star velocity science: The threshold math behind GitHub Trending
- Compounding: How to maintain momentum after the sprint
Related Gingiris Skills
- Full version: https://clawhub.ai/skill/gingiris-opensource
- All skills: 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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