knowledgator/gliclass-v3-logic-dataset
GLiClass‑V3 Logic Dataset Rows 7 776 | Split train only | Format Parquet | Language EN | License Apache‑2.0 What it is A length‑balanced corpus of single‑sentence prompts built purely for inducing reasoning in language models. Why it helps Teaches symbolic‑logic patterns and multi‑label behaviour. Buckets cover 15 word‑length ranges (4 → 1,024) in equal proportions, exposing models to both tiny and very long inputs. Each example has 1‑50… See the full description on the dataset page: https://huggingface.co/datasets/knowledgator/gliclass-v3-logic-dataset.
| Author / organization | knowledgator |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 173 (as reported by Hugging Face) |
| Likes | 10 |
| Created | 18 July 2025 |
| Last updated at source | 12 August 2025 |
Popularity, last 2 days
173 now (+1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- knowledgator/gliclass-multilang-ultraModel · used to train
- knowledgator/gliclass-multilang-miniModel · used to train
- knowledgator/gliclass-instruct-base-v1.0Model · used to train
- knowledgator/gliclass-modern-large-v3.0Model · used to train
- knowledgator/gliclass-base-v3.0Model · used to train
- knowledgator/gliclass-instruct-large-v1.0Model · used to train
- knowledgator/gliclass-modern-base-v3.0Model · used to train
- knowledgator/gliclass-large-v3.0Model · used to train
- knowledgator/gliclass-multilang-edgeModel · used to train
- knowledgator/gliclass-instruct-edge-v1.0Model · used to train
- knowledgator/gliclass-edge-v3.0Model · used to train
Recent changes
- 16 Oct 2026 Description: GLiClass‑V3 Logic Dataset Rows 7 776 | Split train only | Format Parquet | Language EN | License Apache‑2.0 What it is A length‑balanced corpus of single‑sentence prompts built purely for inducing reasoning in language models. Why it helps → GLiClass‑V3 Logic Dataset Rows 7 776 | Split train only | Format Parquet | Language EN | License Apache‑2.0 What it is A length‑balanced corpus of single‑sentence prompts built purely for inducing reasoning in language models. Why it helps
Changes detected by Silytics between refreshes of the source.
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.