| ---
|
| pretty_name: Bash Instruct and Smol-SmolTalk
|
| license: other
|
| task_categories:
|
| - text-generation
|
| language:
|
| - en
|
| tags:
|
| - conversational
|
| - instruction-tuning
|
| - synthetic
|
| configs:
|
| - config_name: default
|
| default: true
|
| data_files:
|
| - split: train
|
| path: data/train-*.parquet
|
| - split: test
|
| path: data/test-*.parquet
|
| dataset_info:
|
| features:
|
| - name: messages
|
| list:
|
| - name: role
|
| dtype: string
|
| - name: content
|
| dtype: string
|
| - name: source_dataset
|
| dtype: string
|
| - name: source
|
| dtype: string
|
| - name: category
|
| dtype: string
|
| - name: utility
|
| dtype: string
|
| - name: variant_group
|
| dtype: string
|
| splits:
|
| - name: train
|
| num_examples: 514701
|
| - name: test
|
| num_examples: 24229
|
| ---
|
|
|
| # Bash Instruct and Smol-SmolTalk
|
|
|
|
|
| 
|
|
|
| This dataset combines `Frost2o24/bash-instruct-III-55k` and `HuggingFaceTB/smol-smoltalk`. The train split contains all rows from both source train splits and is globally shuffled with seed 42. The test split preserves the source test split from `HuggingFaceTB/smol-smoltalk`.
|
|
|
| | Split | Rows |
|
| |---|---:|
|
| | train | 514,701 |
|
| | test | 24,229 |
|
|
|
| The `messages` field is retained in chat format. `source_dataset` identifies the original dataset. Other columns preserve source metadata where available: `source`, `category`, `utility`, and `variant_group`; unavailable metadata is null.
|
|
|
| ```python
|
| from datasets import load_dataset
|
|
|
| dataset = load_dataset("CrowdMind/bash-smoltalk-merged")
|
| print(dataset)
|
| ```
|
|
|
| ## Sources and licenses
|
|
|
| - [`Frost2o24/bash-instruct-III-55k`](https://huggingface.co/datasets/Frost2o24/bash-instruct-III-55k) is licensed under MIT.
|
| - [`HuggingFaceTB/smol-smoltalk`](https://huggingface.co/datasets/HuggingFaceTB/smol-smoltalk) is licensed under Apache-2.0.
|
|
|
| This combined dataset contains material from both sources. Follow the applicable license and terms for each record, identified by `source_dataset`.
|
|
|
