Update README.md

README.md

@@ -1,3 +1,53 @@
 ---
 license: cc-by-sa-3.0
+task_categories:
+- question-answering
+- text-generation
+language:
+- en
+size_categories:
+- 10K<n<100K
 ---
+
+[databricks/databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) in ChatML format.
+
+Python code used for conversion:
+
+```python
+from datasets import load_dataset
+import pandas
+from transformers import AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained(
+    pretrained_model_name_or_path="Felladrin/Llama-160M-Chat-v1"
+)
+
+dataset = load_dataset("databricks/databricks-dolly-15k", split="train")
+
+
+def format(columns):
+    instruction = columns["instruction"].strip()
+    context = columns["context"].strip()
+    response = columns["response"].strip()
+
+    if context:
+        user_message = f"{instruction}\n\nContext:\n{context}"
+    else:
+        user_message = instruction
+
+    messages = [
+        {
+            "role": "user",
+            "content": user_message,
+        },
+        {
+            "role": "assistant",
+            "content": response,
+        },
+    ]
+
+    return tokenizer.apply_chat_template(messages, tokenize=False)
+
+
+pandas.DataFrame({"text": [format(columns) for columns in dataset]}).to_parquet("train.parquet", index=False)
+```