deepvk/GeRaCl_synthethic_dataset
CLAZER (CLAssification in a ZERo-shot scenario) CLAZER is a freely available dataset of texts taken from allenai/c4 and labeled with positive and hard negative classes. They were labeled using meta-llama/Llama-3.3-70B-Instruct with the aim to provide high-quality classification samples to enhance understanding of zero-shot classification task by sentence encoders. Dataset Structure There are 4 subdatasets: synthetic_positives. This subdataset contains: train… See the full description on the dataset page: https://huggingface.co/datasets/deepvk/GeRaCl_synthethic_dataset.
| Author / organization | deepvk |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 138 (as reported by Hugging Face) |
| Likes | 7 |
| Created | 20 January 2025 |
| Last updated at source | 16 May 2025 |
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Connected in the knowledge graph
- deepvk/GeRaCl-USER2-baseModel · used to train
Recent changes
- 16 Oct 2026 Description: CLAZER (CLAssification in a ZERo-shot scenario) CLAZER is a freely available dataset of texts taken from allenai/c4 and labeled with positive and hard negative classes. They were labeled using meta-llama/Llama-3.3-70B-Instruct with the aim → CLAZER (CLAssification in a ZERo-shot scenario) CLAZER is a freely available dataset of texts taken from allenai/c4 and labeled with positive and hard negative classes. They were labeled using meta-llama/Llama-3.3-70B-Instruct with the aim
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