--- license: other pretty_name: GLM-5.2 — CoT Library language: - en - zh task_categories: - text-generation size_categories: - 10K

# GLM-5.2 — CoT Library A maintained mirror of publicly-available GLM-5.2 chain-of-thought datasets on Hugging Face — content-verified, deduplicated, and attributed to their original authors.

[`Dataset Viewer`](https://huggingface.co/datasets/Crownelius/GLM-5.2-CoT-Library/viewer/default/train) | [`Parquet`](data/)

// what this is

A maintained library — a community mirror of publicly-available GLM-5.2 CoT datasets, aggregated, validity-filtered and content-verified, with per-row source attribution in first_source_dataset. It is not Crownelius' own data — every row belongs to the uploader credited below. Reasoning, science and logic-puzzle chain-of-thought plus agentic coding traces.

41,333
verified rows

7
contributing datasets

12
rejected in verification

## 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.

📜 Citations & attribution — 7 contributing datasets _{(please cite the original authors, not this mirror)}

| Rows | Original author & 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 |

total 41,333 content-verified rows

🚫 Rejected in verification — 12 datasets _{(every one linked so you can check the call)}

| Verdict | Dataset | Why | | --- | --- | --- | | CARD-ONLY | [`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 | | CARD-ONLY | [`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 | | CARD-ONLY | [`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 | | CARD-ONLY | [`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 | | CARD-ONLY | [`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 | | UNVERIFIABLE | [`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) | | UNVERIFIABLE | [`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) | | CARD-ONLY | [`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 | | CARD-ONLY | [`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 | | FAILS GATE | [`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 | | FAILS GATE | [`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 | | CARD-ONLY | [`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 |

## Provenance & 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"]) ``` ---

_{Maintained mirror · content-verified · all credit to the original uploaders}