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 README Writing System — 3-Second Conversion Framework
Craft a README that converts visitors to stars in <3 seconds. Built from AFFiNE's 0→60K star journey.
Install
npx skills add Gingiris-1031/gr-readme
Works with Claude Code, Cursor, Windsurf, and any AI agent that supports the skills protocol.
What It Does
This skill guides you through writing a README that converts visitors into stars within the first 3 seconds of landing. It covers:
- Tagline engineering — write a one-line description that sticks
- First-screen law — what must appear above the fold
- Section-by-section copywriting — Features, Quick Start, Architecture, Contributing
- Star CTA GIF — placement and timing (front 3 screens, inline with hero or after Quick Start)
- Claude Code AI Agent Integration — dedicated section for AI-native projects
- Anti-patterns — 8 common README mistakes that kill conversions
- 30-item pre-publish checklist — covers content, visuals, links, SEO, AI-era signals
Based On
Real-world experience as ex-COO of AFFiNE (0→60K GitHub stars, $10M Pre-A). The patterns in this skill are what actually worked.
Links
- 🌐 gingiris.tools/skills/ — Browse all Gingiris skills
- 📦 GitHub standalone repo
- 🔧 skills.sh
- 📚 All skills monorepo
License
MIT-0 — free to use, modify, and distribute.
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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