dutch-tokenizer-arena / examples.py
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examples = {
"en": [
["spaces: 2spaces 8spaces\t1tab\t\t2tab\n1newline", "llama", "chatglm_6b"], # chatglm 有blank_n,
# !?。"#$%&'()*+,-/:;<=>@[\]^_`{|}~⦅⦆「」、、〃》「」『』【】〔〕〖〗〘〙〚〛〜〝〞〟〰〾〿–—‘’‛“”„‟…‧﹏.
["punctuations: ,.:/?+=\",。!?;【】〔〕〖〗", "baichuan", "llama"],
["symbols: 🦙❤❥웃유♋☮✊☏☢☚✔☑♚▢♪✈✞÷↑↓▤▥⊙■□▣▽¿─│♥❣▬▫☿Ⓐ ✋✉☣☤", "baichuan", "llama"],
["digits: (10086 + 98) = 100184", "baichuan", "llama"]
]
,
"zh": [
["空格测试: 2个空格 8个空格", "llama", "chatglm_6b"], # chatglm 有blank_n,
["标点测试:,。!?;", "baichuan_7b", "llama"],
["符号测试:🦙❤❥웃유♋☮✊☏☢☚✔☑♚▢♪✈✞÷↑↓▤▥⊙■□▣▽¿─│♥❣▬▫☿Ⓐ ✋✉☣☤", "baichuan_7b", "llama"],
["数字测试:(10086 + 98) = 100184", "baichuan_7b", "llama"],
["中文简体:宽带,繁体:樂來", "baichuan_7b", "llama"],
]
}
more_examples = [
# bert VS clue
# bert系列
("bert_base_cased", "bert_base_uncased", ""), # # clue VS kplug, bert VS clue
# llama系列 (基于sentencepiece)
("baichuan", "baichuan2", "baichuan2支持多空格 ,多个换行\n\n\n,do not add dummy prefix as Baichuan1"),
("llama", "baichuan2", "baichuan2支持多空格 ,多个换行\n\n"),
("llama", "chinese_llama2", ""),
("chinese_llama", "chinese_llama2", ""),
# glm系列 (基于sentencepiece)
("glm", "chatglm1", ""),
("chatglm1", "chatglm2", ""),
# gpt2系列
("gpt2", "moss", ""),
("", "", ""),
# openai系列 (tiktoken)
("qwen", "gpt_35_turbo", ""),
]
def example_fn(example_idx):
return examples["en"][example_idx]
def get_more_example():
import urllib.parse
url_prefix = "https://huggingface.co/spaces/eson/tokenizer-arena"
for tokenizer1, tokenizer2, text in more_examples:
full_url = f'{url_prefix}?tokenizer1={tokenizer1}&tokenizer2={tokenizer2}&text={urllib.parse.quote(text)}'
print(full_url)
if __name__ == "__main__":
get_more_example()