Update README.md

README.md

@@ -11,13 +11,100 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 6414373
-    num_examples: 8000
-  download_size: 4061209
-  dataset_size: 6414373
+    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-8k
+
+The resulting dataset contains **8000 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 8000 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_8k = load_dataset("Vishva007/Databricks-Dolly-8k")
+
+print(databricks_dolly_8k)
+print(databricks_dolly_8k["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_8k = load_dataset("Vishva007/Databricks-Dolly-8k")
+
+# Print the first sample in the training set
+print(databricks_dolly_8k["train"][0])
+
+# Access specific fields from the first sample
+sample = databricks_dolly_8k["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 8000 samples.
+
+## 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).
+
+---