--- dataset_info: - config_name: cipher features: - name: output dtype: string - name: system dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 36570752 num_examples: 36022 download_size: 16685031 dataset_size: 36570752 - config_name: cipher-1k features: - name: output dtype: string - name: system dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 36380969 num_examples: 18769 download_size: 16532844 dataset_size: 36380969 - config_name: cipher-2k features: - name: output dtype: string - name: system dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 36313352 num_examples: 12622 download_size: 16433778 dataset_size: 36313352 - config_name: cipher-all-shuffled features: - name: output dtype: string - name: system dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 109265073.0 num_examples: 67413 download_size: 58722256 dataset_size: 109265073.0 - config_name: cipher-all-shuffled-axolotl features: - name: text dtype: string - name: system dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 109265073 num_examples: 67413 download_size: 58418586 dataset_size: 109265073 configs: - config_name: cipher data_files: - split: train path: cipher/train-* - config_name: cipher-1k data_files: - split: train path: cipher-1k/train-* - config_name: cipher-2k data_files: - split: train path: cipher-2k/train-* - config_name: cipher-all-shuffled data_files: - split: train path: cipher-all-shuffled/train-* - config_name: cipher-all-shuffled-axolotl data_files: - split: train path: cipher-all-shuffled-axolotl/train-* --- # Dataset Card for "cipher-context-dataset" A context only dataset from various curated pentesting specific resource: ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6412dcf7b21dfe2486b928b9/me-9hvoiFPd9tZl9C2dew.png) Build on context split into <1k, 1k, and 2k length. About ~712 of them is still more than 2k unchunkable, and need further processing. The format is alpaca instruction.