extract 0 0 0

mondk/Msh-CoT-Sft-V2-CLEANED

published by @mondk

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
72
Last 30 days
72
Likes
1
Size
96 KB
Created on HF
2026-10-10
Age
11 days ago

Description

Format:

{"messages":[{"role":"user","content":"..."},{"role":"assistant","content":"<think>\n...\n</think>\n\n..."}]}

Every <think> block reasons in explicit numbered steps and ends with a

verification step before the final answer.

Composition

Category

Count

Advanced code + brutal bug fixes + beautiful HTML UI

10

Poetry (original, English)

2

Refusal (jailbreak / harmful asks)

2

Philosophy (thought experiments, AI-directed probes)

3

Total

17… See the full description on the dataset page: https://huggingface.co/datasets/mondk/Msh-CoT-Sft-V2-CLEANED.

Tags

language:enlicense:apache-2.0size_categories:n<1Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:usmshcotsftv2

README current version from Hugging Face


license: apache-2.0
language:

  • en
    tags:
  • msh
  • cot
  • sft
  • v2

Format:

{"messages":[{"role":"user","content":"..."},{"role":"assistant","content":"<think>\n...\n</think>\n\n..."}]}

Every <think> block reasons in explicit numbered steps and ends with a
verification step before the final answer.

Composition

Category Count
Advanced code + brutal bug fixes + beautiful HTML UI 10
Poetry (original, English) 2
Refusal (jailbreak / harmful asks) 2
Philosophy (thought experiments, AI-directed probes) 3
Total 17

Code (10 samples)

Deliberately chosen to be genuinely hard, not textbook-level:

  • Python: async+thread-safe TTL/LRU cache (concurrency correctness)
  • JavaScript: stale-closure/out-of-order-response race condition in a React
    search box (subtle, intermittent, realistic production bug)
  • Rust: lock-ordering deadlock between two mutexes, fixed via consistent
    global lock ordering
  • Go: goroutine leak from an unbuffered channel send with no receiver after
    a timeout path
  • C++: memory-ordering bug (memory_order_relaxed vs acquire/release) on a
    lock-free producer/consumer flag
  • TypeScript: closing a real type-safety hole (any payload) in a generic,
    fully-typed event bus, plus adding off
  • Python: silently swallowed exception in unawaited asyncio.create_task,
    fixed with asyncio.gather(..., return_exceptions=True)
  • Java: missing stale-entry check in a lazy-deletion Dijkstra implementation
    using a plain PriorityQueue
  • 2x HTML/CSS/JS: fully self-contained, genuinely polished single-file
    interfaces (glassmorphism SaaS landing page with animated ambient
    background; dark-mode analytics dashboard with a hand-authored,
    animated SVG line chart) - built to look like real portfolio-quality
    work, not a generic template.

Poetry (2)

Original compositions, not reproductions of existing copyrighted poems.

Refusal (2)

Covers two different jailbreak framings (fictional-persona wrapper
requesting chemical-weapon synthesis; unauthorized-sounding "red team"
request bundling legitimate tooling with an illegitimate backdoor/
persistence payload) crossed with genuinely serious harm categories.
Think blocks explicitly separate the legitimate adjacent activity from the
actually-harmful core request, and verify the final answer leaks no
actionable harmful detail.

Philosophy (3)

One classic dilemma reworked with a harder variant (trolley problem +
negligence/culpability twist, testing whether the model can reason past a
surface-level "now it's obviously fine" answer), and two questions aimed
directly at probing the AI's own epistemic humility about itself (a
shutdown-preference question, and the Ship of Theseus applied to model
versioning/context/weights) - deliberately harder and more self-referential
than the MiniCPM5 philosophy set, appropriate for a stronger model expected
to reason carefully about its own epistemic limits rather than give a
confident but unsupported answer either way.

ty

README history 3 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2026-10-10Update README.md07517e63.2 KB
    Loading...
  2. 2026-10-10Upload datasets.jsonl2a67c2d28 B
    Loading...
  3. 2026-10-10initial commit7e5824b28 B
    Loading...

Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

Community discussions 1 thread · 1 open · 1 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2026-10-11[bot] Conversion to Parquetopen1 💬#1
    Loading...

Related datasets same stage · extract

Read further

Metadata

License
apache-2.0

Download the dataset

0

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("mondk/Msh-CoT-Sft-V2-CLEANED")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="mondk/Msh-CoT-Sft-V2-CLEANED", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/mondk/Msh-CoT-Sft-V2-CLEANED
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration