apple/CLaRa_multi_stage
CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning This is the official dataset for the CLaRa paper which contains training and evaluation data for the CLaRa model, organized into three main categories: pretraining, instruction tuning, and end-to-end tuning. Dataset Structure 1. Pretraining Data pretraining: Large-scale pretraining data for the compressor learning Format: JSONL with fields: data_type… See the full description on the dataset page: https://huggingface.co/datasets/apple/CLaRa_multi_stage.
| Author / organization | apple |
|---|---|
| License (as declared) | mit |
| Downloads | 1.3K (as reported by Hugging Face) |
| Likes | 13 |
| Created | 11 December 2025 |
| Last updated at source | 16 December 2025 |
Popularity, last 2 days
1,304 now (-12 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning This is the official dataset for the CLaRa paper which contains training and evaluation data for the CLaRa model, organized into three main categories: pretraining, i → CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning This is the official dataset for the CLaRa paper which contains training and evaluation data for the CLaRa model, organized into three main categories: pretraining, i
Changes detected by Silytics between refreshes of the source.
More from apple
- apple/DataCompDR-1BDataset
- apple/TiC-DataCompDataset
- apple/GSM-SymbolicDataset
- apple/DFNDR-12MDataset
- apple/DataCompDR-12MDataset
- apple/mkqaDataset
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 Information may be incomplete or out of date.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.