Create README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
language:
|
| 4 |
+
- en
|
| 5 |
+
size_categories:
|
| 6 |
+
- 1K<n<10K
|
| 7 |
+
---
|
| 8 |
+
|
| 9 |
+
[sablo/oasst2_curated](https://huggingface.co/datasets/sablo/oasst2_curated) in ChatML format, ready to use in [HuggingFace TRL's SFT Trainer](https://huggingface.co/docs/trl/main/en/sft_trainer).
|
| 10 |
+
|
| 11 |
+
Python code used for conversion:
|
| 12 |
+
|
| 13 |
+
```python
|
| 14 |
+
from datasets import load_dataset
|
| 15 |
+
from transformers import AutoTokenizer
|
| 16 |
+
|
| 17 |
+
tokenizer = AutoTokenizer.from_pretrained("Felladrin/Llama-160M-Chat-v1")
|
| 18 |
+
|
| 19 |
+
dataset = load_dataset("sablo/oasst2_curated", split="train")
|
| 20 |
+
|
| 21 |
+
def format(columns):
|
| 22 |
+
return { "text": tokenizer.apply_chat_template(columns["messages"], tokenize=False) }
|
| 23 |
+
|
| 24 |
+
dataset.map(format).select_columns(['text']).to_parquet("train.parquet")
|
| 25 |
+
```
|