Omartificial-Intelligence-Space/Arabic-NLi-Triplet
Arabic NLI Triplet Dataset Summary The Arabic Version of SNLI and MultiNLI datasets. (Triplet Subset) Originally used for Natural Language Inference (NLI), Dataset may be used for training/finetuning an embedding model for semantic textual similarity. Triplet Subset Columns: "anchor", "positive", "negative" Column types: str, str, str Examples: { "anchor": "شخص على حصان يقفز فوق طائرة معطلة", "positive": "شخص في الهواء الطلق، على حصان."… See the full description on the dataset page: https://huggingface.co/datasets/Omartificial-Intelligence-Space/Arabic-NLi-Triplet.
| Author / organization | Omartificial-Intelligence-Space |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 136 (as reported by Hugging Face) |
| Likes | 6 |
| Created | 8 June 2024 |
| Last updated at source | 2 August 2024 |
Popularity, last 2 days
136 now (-5 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- Omartificial-Intelligence-Space/Arabert-all-nli-triplet-MatryoshkaModel · used to train
- Omartificial-Intelligence-Space/Arabic-labse-MatryoshkaModel · used to train
- Omartificial-Intelligence-Space/Arabic-MiniLM-L12-v2-all-nli-tripletModel · used to train
- Omartificial-Intelligence-Space/Arabic-all-nli-triplet-MatryoshkaModel · used to train
- Omartificial-Intelligence-Space/Arabic-mpnet-base-all-nli-tripletModel · used to train
- Omartificial-Intelligence-Space/Marbert-all-nli-triplet-MatryoshkaModel · used to train
Recent changes
- 16 Oct 2026 Description: Arabic NLI Triplet Dataset Summary The Arabic Version of SNLI and MultiNLI datasets. (Triplet Subset) Originally used for Natural Language Inference (NLI), Dataset may be used for training/finetuning an embedding model for semantic textual → Arabic NLI Triplet Dataset Summary The Arabic Version of SNLI and MultiNLI datasets. (Triplet Subset) Originally used for Natural Language Inference (NLI), Dataset may be used for training/finetuning an embedding model for semantic textual
Changes detected by Silytics between refreshes of the source.
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