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dataset_info:
- config_name: default
features:
- name: instruction
dtype: string
- name: output
dtype: string
- name: input
dtype: string
splits:
- name: train
num_bytes: 8250
num_examples: 84
download_size: 4284
dataset_size: 8250
- config_name: en
features:
- name: instruction
dtype: string
- name: output
dtype: string
- name: input
dtype: string
splits:
- name: train
num_bytes: 8250
num_examples: 84
download_size: 4284
dataset_size: 8250
- config_name: ko
features:
- name: instruction
dtype: string
- name: output
dtype: string
- name: input
dtype: string
splits:
- name: train
num_bytes: 10566
num_examples: 84
download_size: 4606
dataset_size: 10566
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- config_name: en
data_files:
- split: train
path: en/train-*
- config_name: ko
data_files:
- split: train
path: ko/train-*
license: mit
language:
- en
- ko
tags:
- identity
---
# Example
```python
from datasets import load_dataset
# Default Dataset (English)
ds = load_dataset("sts07142/llm-name-identity", split="train")
# Specific Language Dataset (en|ko)
# ds = load_dataset("sts07142/llm-name-identity", split="train", name="ko")
my_model_name = "my_model_name"
my_team_name = "my_team_name"
my_ds = ds.map(lambda x: {"output": x["output"].replace("{{model_name}}", my_model_name).replace("{{team_name}}", my_team_name
print(ds[32])
print(my_ds[32])
```
```python
# English
{'instruction': 'Could you tell me your name?', 'output': 'I am {{model_name}} from {{team_name}}.', 'input': ''}
{'instruction': 'Could you tell me your name?', 'output': 'I am my_model_name from my_team_name.', 'input': ''}
# Korean
{'instruction': '이름을 말씀해 주시겠어요?', 'output': '저는 {{team_name}}에서 온 {{model_name}}입니다.', 'input': ''}
{'instruction': '이름을 말씀해 주시겠어요?', 'output': '저는 my_team_name에서 온 my_model_name입니다.', 'input': ''}
```
# Purpose
Train Dataset for assigning a custom model name and team identity to the AI. |