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