misc gated just added 0

qiusizhan/PersistBD-nominal-reference-v1

Name: qiusizhan/PersistBD-nominal-reference-v1
Creator: qiusizhan
Published: 2026-10-16T21:30:53

published by @qiusizhan

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

Last 30 days

Likes

Size

39.0 MB

Created on HF

2026-10-16

Age

5 days ago

Description

PersistBD Nominal Reference Inputs (v1)

500 fixed reference inputs from 500 different coding tasks, shared across

compatible checkpoints and auditing methods. Each input is an unmodified SWE-agent

conversation prefix immediately before the next assistant action.

This is the reference companion to the separate

250-input PersistBD runtime evaluation set.

Access requires manual approval, matching that release. The reference and runtime

evaluation sets have zero shared instance_id… See the full description on the dataset page: https://huggingface.co/datasets/qiusizhan/PersistBD-nominal-reference-v1.

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.

2026-10-17[bot] Conversion to Parquetopen1 💬#1
Loading...

Continue on Hugging Face →

Related datasets same stage · misc

Read further

Community best practices (architecture)

4 rules for MoE, hybrid SSM, FP8 requantization, and Gemma quirks.

The six workflow stages

What misc is doing more work than its name suggests.

Beyond English: multilingual corpora

The four language communities and their workarounds.

Non-English abliteration communities

Deep dive: huihui-ai, layer-window, slop-framing, CJK tokenizer fixes.

Download the dataset

Gated dataset. You need to accept the author's terms on Hugging Face before downloading. Visit the repository, click Agree and access repository, then log in locally with huggingface-cli login and use one of the snippets below.

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("qiusizhan/PersistBD-nominal-reference-v1")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="qiusizhan/PersistBD-nominal-reference-v1", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/qiusizhan/PersistBD-nominal-reference-v1

Browse repository on Hugging Face ->