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---

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


![CrowdMind Bash+ SmolTalk Dataset Banner](https://cdn-uploads.huggingface.co/production/uploads/66e629438ce4fc3270d9a910/DxcDjlwX_0HtANBDktjqA.png)

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`.