Datasets:
Download code/v2/translit.py from esscor/TamilBench: direct link, hf CLI and curl.
- Browser
- Download file 1.5 kB
-
https://huggingface.co/datasets/esscor/TamilBench/resolve/main/code/v2/translit.py
- Command line
-
hf download hf://datasets/esscor/TamilBench/code/v2/translit.py
-
curl -L -o translit.py https://huggingface.co/datasets/esscor/TamilBench/resolve/main/code/v2/translit.py
1.5 kB
| V={'அ':'a','ஆ':'aa','இ':'i','ஈ':'ee','உ':'u','ஊ':'oo','எ':'e','ஏ':'ae','ஐ':'ai','ஒ':'o','ஓ':'oa','ஔ':'au','ஃ':'h'} | |
| C={'க':'k','ங':'ng','ச':'s','ஞ':'nj','ட':'t','ண':'n','த':'th','ந':'n','ப':'p','ம':'m','ய':'y','ர':'r','ல':'l','வ':'v','ழ':'zh','ள':'l','ற':'r','ன':'n','ஜ':'j','ஷ':'sh','ஸ':'s','ஹ':'h','ஶ':'sh'} | |
| S={'ா':'aa','ி':'i','ீ':'ee','ு':'u','ூ':'oo','ெ':'e','ே':'ae','ை':'ai','ொ':'o','ோ':'oa','ௌ':'au','்':''} | |
| D={chr(0x0BE6+i):str(i) for i in range(10)} | |
| def tanglish(s): | |
| out=[];i=0 | |
| while i<len(s): | |
| ch=s[i] | |
| if ch in C: | |
| nx=s[i+1] if i+1<len(s) else '' | |
| if nx in S: out.append(C[ch]+S[nx]); i+=2; continue | |
| out.append(C[ch]+'a') | |
| elif ch in V: out.append(V[ch]) | |
| elif ch in D: out.append(D[ch]) | |
| elif ch in S: out.append(S[ch]) | |
| else: out.append(ch) | |
| i+=1 | |
| return ''.join(out) | |
| if __name__=="__main__": | |
| import json | |
| from tokenizers import Tokenizer | |
| t=Tokenizer.from_file("toks/Beam.json") | |
| ta={(d["link"]):d["flores_passage"] for d in map(json.loads,open("tam_Taml.jsonl"))} | |
| en={(d["link"]):d["flores_passage"] for d in map(json.loads,open("eng_Latn.jsonl"))} | |
| n=lambda L:sum(len(t.encode(x,add_special_tokens=False).ids) for x in L) | |
| T=list(ta.values()); E=[en[k] for k in ta] | |
| print(tanglish(T[0])[:300]) | |
| a,b,c=n(E),n(T),n([tanglish(x) for x in T]); print(a,b,c,b/a,c/a, 1-c/b) | |