Datasets:
Tasks:
Text Generation
Sub-tasks:
language-modeling
Languages:
code
Multilinguality:
multilingual
Size Categories:
unknown
Language Creators:
crowdsourced
Tags:
from datasets import load_dataset, Dataset | |
import pandas as pd | |
list_languages = ['ada', 'agda', 'alloy', 'antlr', 'applescript', 'assembly', 'augeas', 'awk', 'batchfile', 'bison', | |
'bluespec', 'c', 'c++', 'c-sharp', 'clojure', 'cmake', 'coffeescript', 'common-lisp', 'css', 'cuda', 'dart', 'dockerfile', 'elixir', | |
'elm', 'emacs-lisp','erlang', 'f-sharp', 'fortran', 'glsl', 'go', 'groovy', 'haskell','html', 'idris', 'isabelle', 'java', | |
'java-server-pages', 'javascript', 'julia', 'kotlin', 'lean', 'literate-agda', 'literate-coffeescript', 'literate-haskell', | |
'lua', 'makefile', 'maple', 'markdown', 'mathematica', 'matlab', 'ocaml', 'pascal', 'perl', 'php', 'powershell', 'prolog', | |
'protocol-buffer', 'python', 'r', 'racket', 'restructuredtext', 'rmarkdown', 'ruby', 'rust', 'sas', 'scala', 'scheme', | |
'shell', 'smalltalk', 'solidity', 'sparql', 'sql', 'stan', 'standard-ml', 'stata', 'systemverilog', 'tcl', 'tcsh', 'tex', | |
'thrift', 'typescript', 'verilog', 'vhdl', 'visual-basic', 'xslt', 'yacc', 'zig'] | |
seed = 0 | |
size = 10_000 | |
for language in list_languages: | |
thestack = load_dataset('bigcode/the-stack', use_auth_token=True, split="train", streaming=True, data_dir=f"data/{language}") | |
print(f"subset {language} loaded") | |
ds = thestack.shuffle(seed=seed) | |
# 10k subset of random samples from ds | |
small_ds = list(ds.take(size)) | |
# convert to Datasets | |
small_ds = Dataset.from_pandas(pd.DataFrame(data=small_ds)) | |
print(f"Dataset of {size} samples of {language} creaded") | |
print(f"Some tests: example 10 {small_ds[10]['lang']}") | |
path = f"./data/{language}/data.json" | |
small_ds.to_json(path) | |
print(f"Small subset of {language} saved") |