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---
dataset_info:
features:
- name: instruction
dtype: string
- name: context
dtype: string
- name: response
dtype: string
- name: category
dtype: string
splits:
- name: train
num_bytes: 3243541
num_examples: 4000
download_size: 2050955
dataset_size: 3243541
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: apache-2.0
task_categories:
- table-question-answering
- question-answering
- text-generation
language:
- en
size_categories:
- 1K<n<10K
---
# Databricks-Dolly-4k
The resulting dataset contains **4000 samples** of the [databricks/databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) dataset.
This split of an even smaller subset is provided for very fast experimentation and evaluation of models when computational resources are highly limited or for quick prototyping.
## Dataset Structure
The dataset is provided as a `DatasetDict` with the following splits:
* **`train`**: Contains 4000 samples.
Each split contains the following features, identical to the original dataset:
* `id`: The unique identifier for each sample.
* `instruction`: The instruction or prompt for the task.
* `response`: The response to the given instruction.
* `context`: Additional context or information related to the instruction.
* `source`: The source of the sample.
## Usage
You can easily load this split dataset using the `datasets` library:
```python
from datasets import load_dataset
databricks_dolly_4k = load_dataset("Vishva007/Databricks-Dolly-4k")
print(databricks_dolly_4k)
print(databricks_dolly_4k["train"][0])
```
## Example Usage
Here’s an example of how you might use this dataset in a Python script:
```python
from datasets import load_dataset
# Load the dataset
databricks_dolly_4k = load_dataset("Vishva007/Databricks-Dolly-4k")
# Print the first sample in the training set
print(databricks_dolly_4k["train"][0])
# Access specific fields from the first sample
sample = databricks_dolly_4k["train"][0]
print(f"ID: {sample['id']}")
print(f"Instruction: {sample['instruction']}")
print(f"Response: {sample['response']}")
print(f"Context: {sample['context']}")
print(f"Source: {sample['source']}")
```
## Dataset Info
### Features
- `id`: The unique identifier for each sample.
- `instruction`: The instruction or prompt for the task.
- `response`: The response to the given instruction.
- `context`: Additional context or information related to the instruction.
- `source`: The source of the sample.
### Splits
- **`train`**: Contains 4000 samples.
### Metadata
- **Download Size**: 1310809668 bytes
- **Dataset Size**: 1323148760.0 bytes
## License
This dataset is derived from the [databricks/databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) dataset, which is licensed under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0).
For more details about the original dataset, please refer to the [official documentation](https://huggingface.co/datasets/databricks/databricks-dolly-15k).
--- |