Spaces:
Running
Running
File size: 3,160 Bytes
a6c67ec 9495a4f 24b4aa5 9495a4f 24b4aa5 d27a756 1b7fc74 a6c67ec 9495a4f a37f943 9495a4f f4973d4 480ae5d f4973d4 480ae5d f4973d4 1f833af 9495a4f 1f833af f4973d4 480ae5d f4973d4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 |
"""
## characters
- alphanumeric characters
- numeric characters
- special characters: A special character is a character that is not an alphabetic or numeric character.
- ASCII control characters
- punctuation marks
- accent marks
- 数学符号
- whitespace:
- https://en.wikipedia.org/wiki/Whitespace_character
- https://emptycharacter.com/
https://www.computerhope.com/jargon/s/specchar.htm
"""
examples = {
"en": [
["number: (10086 + 98) = 100184", "llama", "bloom"], #
["whitespace: 2spaces 8spaces\t1tab\t\t2tab\n1newline", "llama", "bert_base_cased"], # chatglm 有blank_n, bert丢掉了空格，
# ！？｡＂＃＄％＆＇（）＊＋，－／：；＜＝＞＠［＼］＾＿｀｛｜｝～｟｠｢｣､、〃》「」『』【】〔〕〖〗〘〙〚〛〜〝〞〟〰〾〿–—‘’‛“”„‟…‧﹏.
["punctuation: ,.:/?+=\"，。！？；【】〔〕〖〗", "gemma_7b", "llama"], # llama词典有点小
["symbol: 🦙❤❥웃유♋☮✊☏☢☚✔☑♚▢♪✈✞÷↑↓▤▥⊙■□▣▽¿─│♥❣▬▫☿Ⓐ ✋✉☣☤", "baichuan", "llama"],
# ["special: [PAD] [UNK] [CLS] [SEP] [MASK] <|system|> <|user|> <|assistant|> <|endoftext|>", "", ""],
],
"zh": [
["空格测试： 2个空格 8个空格", "llama", "chatglm2_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系列
("bert_base_cased", "bert_base_uncased", "", ""), # # clue VS kplug， bert VS clue
("bert_base_cased", "clue", "", "增加了[]()"),
("clue", "kplug", "", ""),
# 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", ""),
("llama", "llama3", "扩充词典"),
("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", ""),
]
lang = "en"
example_types = [t[0].split(":")[0] for t in examples[lang]]
def example_fn(example_idx):
return examples[lang][example_idx]
def get_more_example():
import urllib.parse
url_prefix = "https://huggingface.co/spaces/eson/tokenizer-arena"
for tokenizer1, tokenizer2, text, comment 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()
|