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.
Product Hunt Launch Playbook
30x Daily #1 | 3x Weekly #1 | 1x Monthly #1
📦 Install on ClawHub
clawhub install product-hunt-playbook
Then ask your AI agent:
"Plan our PH launch for next Tuesday" or "Draft maker comments that don't sound like marketing"
Installs the #1-Day Product Hunt playbook — ranking algorithm explained, hunter outreach scripts, hour-by-hour launch-day timeline, maker comment templates, post-launch momentum tactics. Distilled from 30+ Product Hunt #1 wins including Manus, Devin, AFFiNE.
🔗 View on ClawHub · Full launch suite: gingiris-launch · All 39 Gingiris skills
🚀 30-Second Preview
You: Launching our AI document agent on PH next Tuesday. Plan launch day hour-by-hour.
Agent (with product-hunt-playbook):
Launch Day Timeline (Pacific Time):
00:01 PT — Submit to PH (NOT 00:00, prevents race condition)
00:05 PT — Maker comment #1 posted (technical reasoning, not pitch)
00:15 PT — First upvote network ping (tier 1: 8 closest supporters)
01:00 PT — Twitter/X launch thread + tag 5 relevant accounts
03:00 PT — Tier 2 upvote ping (30 supporters; never auto-blast)
06:00 PT — LinkedIn post (founder voice, why we built it)
09:00 PT — Discord/Slack community posts (5 niches)
12:00 PT — Maker comment #2 (different angle: customer use case)
15:00 PT — Email list blast (rotate subject per segment)
18:00 PT — Maker comment #3 (community Q&A invitation)
21:00 PT — Final hour: respond to every PH comment in <2min
Pre-launch checklist (do night before, not morning of):
☐ Product GIF × 2 uploaded
☐ 5 screenshots in right order (cover → problem → solution → result → CTA)
☐ Maker bio approved by team
☐ Pre-launch upvote network mapped (3 tiers, 50 supporters)
☐ Backup hunter on standby
Concrete timing + real tactics — not "make sure to engage with comments."
What You Get
- 📅 24-hour battle plan — hour-by-hour tactics for launch day
- 🎯 Ranking algorithm insights — how PH ranking actually works
- 👥 Community mobilization — activate your network without violating rules
- 💬 Maker comments strategy — engaging with voters effectively
- 📊 Post-launch momentum — converting PH traffic to users
📚 Free Resources
GitHub Playbook (Free):
clawdhub install gingiris-launch
Or read: Gingiris Launch Playbook
💎 Premium Deep-Dive
Product Hunt Launch Action Guide — ¥99
- Complete hour-by-hour timeline
- Hunter selection framework
- Community mobilization templates
- Post-launch conversion playbook
Complete Launch Bundle — All 4 playbooks
🎯 1-on-1 Launch Coaching
Work directly with Iris (30x PH #1 Winner, AFFiNE Co-founder):
| Service | Price | Best For |
|---|---|---|
| 30 min session | ¥800 | Quick launch review |
| 60 min session | ¥1500 | Full strategy session |
| Monthly retainer | ¥7000/mo | Ongoing launch support |
👉 Book now: gingiris.com/services
Related Skills
- gingiris-launch — Full GTM playbook
- gingiris-opensource — OSS marketing
- gingiris-b2b-growth — B2B SaaS growth
Author: Iris (生姜iris) | gingiris.com
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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