GLM-5.2-CoT-Library / README.md
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GLM-5.2 — CoT Library — 41,333 content-verified rows, card + banner
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---
license: other
pretty_name: GLM-5.2 CoT Library
language:
- en
- zh
task_categories:
- text-generation
size_categories:
- 10K<n<100K
tags:
- glm
- glm-5.2
- zhipu
- chain-of-thought
- reasoning
- content-verified
- maintained-mirror
- deduplicated
configs:
- config_name: default
data_files:
- split: train
path: data/train-*.parquet
---
<p align="center">
<img src="https://huggingface.co/datasets/Crownelius/GLM-5.2-CoT-Library/resolve/main/assets/glm-5.2_banner.png" alt="GLM-5.2 — CoT Library" width="100%">
</p>
<div align="center">
# GLM-5.2 — CoT Library
<strong>A maintained mirror of publicly-available <em>GLM-5.2</em> chain-of-thought datasets on Hugging Face — content-verified, deduplicated, and attributed to their original authors.</strong>
<img src="https://img.shields.io/badge/rows-41%2C333-28b7ff?style=for-the-badge&labelColor=04141f">
<img src="https://img.shields.io/badge/vendor-Zhipu%20AI-8fe6ff?style=for-the-badge&labelColor=04141f">
<img src="https://img.shields.io/badge/type-maintained%20mirror-39ff14?style=for-the-badge&labelColor=04141f">
[`Dataset Viewer`](https://huggingface.co/datasets/Crownelius/GLM-5.2-CoT-Library/viewer/default/train) | [`Parquet`](data/)
</div>
<div style="background:#04141f;border:1px solid #28b7ff;border-radius:12px;padding:16px 18px;margin:18px 0;color:#8fe6ff;">
<div style="font-size:12px;text-transform:uppercase;letter-spacing:.2em;color:#28b7ff;">// what this is</div>
<p style="margin:8px 0 0;"><strong>A maintained library — a community mirror of publicly-available GLM-5.2 CoT datasets</strong>, aggregated, validity-filtered and content-verified, with per-row source attribution in <code>first_source_dataset</code>. <strong>It is not Crownelius' own data</strong> — every row belongs to the uploader credited below. Reasoning, science and logic-puzzle chain-of-thought plus agentic coding traces.</p>
</div>
<div style="display:flex;flex-wrap:wrap;gap:10px;margin:14px 0;">
<div style="flex:1;min-width:150px;border-left:3px solid #28b7ff;background:#04141f;padding:12px 14px;"><strong style="font-size:24px;color:#8fe6ff;">41,333</strong><br><span style="font-size:12px;color:#8fb2bd;">verified rows</span></div>
<div style="flex:1;min-width:150px;border-left:3px solid #28b7ff;background:#04141f;padding:12px 14px;"><strong style="font-size:24px;color:#8fe6ff;">7</strong><br><span style="font-size:12px;color:#8fb2bd;">contributing datasets</span></div>
<div style="flex:1;min-width:150px;border-left:3px solid #28b7ff;background:#04141f;padding:12px 14px;"><strong style="font-size:24px;color:#8fe6ff;">12</strong><br><span style="font-size:12px;color:#8fb2bd;">rejected in verification</span></div>
</div>
## How a dataset gets in
Every candidate is **downloaded and inspected** — never judged by its name:
1. **Readable** — it actually downloads and parses.
2. **Structurally valid** — rows are QA / chain-of-thought / agent traces with a real question **and** a substantive response.
3. **Right model** — content or an in-row `model` field ties it to GLM-5.2; sets dominated by a rival model are rejected.
4. **Not a duplicate** — dedup by `sha256(row_json)` **and** a payload fingerprint that ignores metadata wrappers.
<details open>
<summary><strong>&#128220;&nbsp; Citations &amp; attribution — 7 contributing datasets</strong> <sub>(please cite the original authors, not this mirror)</sub></summary>
| Rows | Original author &amp; dataset | License |
| ---: | --- | --- |
| 26,407 | **ianncity** — [`GLM-5.2-Conversation`](https://huggingface.co/datasets/ianncity/GLM-5.2-Conversation) | apache-2.0 |
| 6,402 | **ianncity** — [`GLM-5.2-Logic-Puzzles`](https://huggingface.co/datasets/ianncity/GLM-5.2-Logic-Puzzles) | apache-2.0 |
| 4,308 | **Jimbock** — [`GLM_5.2_Dataset`](https://huggingface.co/datasets/Jimbock/GLM_5.2_Dataset) | apache-2.0 |
| 1,960 | **ianncity** — [`GLM-5.2-Science`](https://huggingface.co/datasets/ianncity/GLM-5.2-Science) | apache-2.0 |
| 1,744 | **greghavens** — [`glm-5.2-coding-and-debugging-traces`](https://huggingface.co/datasets/greghavens/glm-5.2-coding-and-debugging-traces) | cc-by-4.0 |
| 319 | **AletheiaResearch** — [`GLM-5.2-Agent`](https://huggingface.co/datasets/AletheiaResearch/GLM-5.2-Agent) | see upstream |
| 193 | **AletheiaResearch** — [`GLM-5.2-Bench`](https://huggingface.co/datasets/AletheiaResearch/GLM-5.2-Bench) | see upstream |
<div style="text-align:right;font-size:12px;color:#8fb2bd;">total <strong>41,333</strong> content-verified rows</div>
</details>
<details>
<summary><strong>&#128683;&nbsp; Rejected in verification — 12 datasets</strong> <sub>(every one linked so you can check the call)</sub></summary>
| Verdict | Dataset | Why |
| --- | --- | --- |
| <span style="display:inline-block;padding:2px 10px;border-radius:99px;font-size:11px;font-weight:600;letter-spacing:.05em;background:#1a0a2a;color:#c9a7ff;border:1px solid #5a3f8a;white-space:nowrap;">CARD-ONLY</span> | [`clzoro/GLM-5.1-1000000x`](https://huggingface.co/datasets/clzoro/GLM-5.1-1000000x) | no in-row model field and no model signal in content — provenance is card-asserted only |
| <span style="display:inline-block;padding:2px 10px;border-radius:99px;font-size:11px;font-weight:600;letter-spacing:.05em;background:#1a0a2a;color:#c9a7ff;border:1px solid #5a3f8a;white-space:nowrap;">CARD-ONLY</span> | [`ianncity/GLM-5.2-Conversation`](https://huggingface.co/datasets/ianncity/GLM-5.2-Conversation) | no in-row model field and no model signal in content — provenance is card-asserted only |
| <span style="display:inline-block;padding:2px 10px;border-radius:99px;font-size:11px;font-weight:600;letter-spacing:.05em;background:#1a0a2a;color:#c9a7ff;border:1px solid #5a3f8a;white-space:nowrap;">CARD-ONLY</span> | [`hotdogs/uka-glm-5.2`](https://huggingface.co/datasets/hotdogs/uka-glm-5.2) | no in-row model field and no model signal in content — provenance is card-asserted only |
| <span style="display:inline-block;padding:2px 10px;border-radius:99px;font-size:11px;font-weight:600;letter-spacing:.05em;background:#1a0a2a;color:#c9a7ff;border:1px solid #5a3f8a;white-space:nowrap;">CARD-ONLY</span> | [`ianncity/GLM-5.2-Science`](https://huggingface.co/datasets/ianncity/GLM-5.2-Science) | no in-row model field and no model signal in content — provenance is card-asserted only |
| <span style="display:inline-block;padding:2px 10px;border-radius:99px;font-size:11px;font-weight:600;letter-spacing:.05em;background:#1a0a2a;color:#c9a7ff;border:1px solid #5a3f8a;white-space:nowrap;">CARD-ONLY</span> | [`ianncity/GLM-5.2-Logic-Puzzles`](https://huggingface.co/datasets/ianncity/GLM-5.2-Logic-Puzzles) | no in-row model field and no model signal in content — provenance is card-asserted only |
| <span style="display:inline-block;padding:2px 10px;border-radius:99px;font-size:11px;font-weight:600;letter-spacing:.05em;background:#161616;color:#c9c9c9;border:1px solid #5a5a5a;white-space:nowrap;">UNVERIFIABLE</span> | [`mgoin/open-perfectblend-glm5.2-regen`](https://huggingface.co/datasets/mgoin/open-perfectblend-glm5.2-regen) | could not be downloaded or parsed (parse_err:ArrowInvalid) |
| <span style="display:inline-block;padding:2px 10px;border-radius:99px;font-size:11px;font-weight:600;letter-spacing:.05em;background:#161616;color:#c9c9c9;border:1px solid #5a5a5a;white-space:nowrap;">UNVERIFIABLE</span> | [`ianncity/GLM-5.2-Finance-80000x`](https://huggingface.co/datasets/ianncity/GLM-5.2-Finance-80000x) | could not be downloaded or parsed (info_http=None) |
| <span style="display:inline-block;padding:2px 10px;border-radius:99px;font-size:11px;font-weight:600;letter-spacing:.05em;background:#1a0a2a;color:#c9a7ff;border:1px solid #5a3f8a;white-space:nowrap;">CARD-ONLY</span> | [`shreyan35/Project-Axiom-1.0-Opus4.7-Kimi2.6-GLM5.2-Deepseek4-Mythos5-Fable5-Qwen3.7`](https://huggingface.co/datasets/shreyan35/Project-Axiom-1.0-Opus4.7-Kimi2.6-GLM5.2-Deepseek4-Mythos5-Fable5-Qwen3.7) | no in-row model field and no model signal in content — provenance is card-asserted only |
| <span style="display:inline-block;padding:2px 10px;border-radius:99px;font-size:11px;font-weight:600;letter-spacing:.05em;background:#1a0a2a;color:#c9a7ff;border:1px solid #5a3f8a;white-space:nowrap;">CARD-ONLY</span> | [`DavidrPatton/Fable-5-GLM-5.2-Traces`](https://huggingface.co/datasets/DavidrPatton/Fable-5-GLM-5.2-Traces) | no in-row model field and no model signal in content — provenance is card-asserted only |
| <span style="display:inline-block;padding:2px 10px;border-radius:99px;font-size:11px;font-weight:600;letter-spacing:.05em;background:#2a1204;color:#ffc078;border:1px solid #8a5a1f;white-space:nowrap;">FAILS GATE</span> | [`mgoin/GLM-5.2-FP8-magpie-ultrachat`](https://huggingface.co/datasets/mgoin/GLM-5.2-FP8-magpie-ultrachat) | fails the content gate — only 0/50 sampled rows have a real question **and** a substantive response |
| <span style="display:inline-block;padding:2px 10px;border-radius:99px;font-size:11px;font-weight:600;letter-spacing:.05em;background:#2a1204;color:#ffc078;border:1px solid #8a5a1f;white-space:nowrap;">FAILS GATE</span> | [`JessieWei/GLM-5.2-FP8-nemotron-codealpaca`](https://huggingface.co/datasets/JessieWei/GLM-5.2-FP8-nemotron-codealpaca) | fails the content gate — only 0/50 sampled rows have a real question **and** a substantive response |
| <span style="display:inline-block;padding:2px 10px;border-radius:99px;font-size:11px;font-weight:600;letter-spacing:.05em;background:#1a0a2a;color:#c9a7ff;border:1px solid #5a3f8a;white-space:nowrap;">CARD-ONLY</span> | [`Jimbock/GLM_5.2_Dataset`](https://huggingface.co/datasets/Jimbock/GLM_5.2_Dataset) | no in-row model field and no model signal in content — provenance is card-asserted only |
</details>
## Provenance &amp; honesty
Every retained row is **content-verified** as genuine GLM-5.2-family data. That provenance is **source-asserted and content-verified — it cannot be cryptographically certified by Zhipu AI.** No method exists to prove a block of text came from a specific model. What is guaranteed is narrower and checkable: keyword matches are removed, every row carries a real question and response, cross-model contamination is rejected, and everything excluded is listed above with a reason.
## Schema
| Column | Type | Meaning |
| --- | --- | --- |
| `row_hash` | string | `sha256(row_json)` — de-duplication key |
| `first_source_dataset` | string | upstream dataset / original author |
| `first_source_config` | string | upstream config |
| `first_source_split` | string | upstream split |
| `first_source_row_index` | int64 | index within the upstream source |
| `seen_count` | int64 | times this canonical row was seen |
| `row_json` | string | the full source row as JSON |
## Loading
```python
from datasets import load_dataset
ds = load_dataset("Crownelius/GLM-5.2-CoT-Library", split="train")
import json
row = json.loads(ds[0]["row_json"])
```
---
<p align="center"><sub>Maintained mirror &#183; content-verified &#183; all credit to the original uploaders</sub></p>