Datasets:
danidarko
/
docs

Dataset card Data Studio Files Community
1
text
stringlengths
0
15.3k
if get_meta:
yield (text, ob['meta'] if 'meta' in ob else {})
else:
yield text
class TextArchive:
def __init__(self, file_path, mode: str='rb+') -> None:
self.file_path = file_path
dir_name = os.path.dirname(file_path)
if dir_name:
os.makedirs(dir_name, exist_ok=True)
if not os.path.exists(file_path):
Path(file_path).touch()
self.fh = open(self.file_path, mode)
def add_data(self, data) -> None:
self.fh.write(data.encode('UTF-8') + b'\n')
def commit(self) -> None:
self.fh.flush()
self.fh.close()
class TextReader:
def __init__(self, file_path) -> None:
self.file_path = file_path
def read_tqdm(self, update_frequency: int=10000):
current_file_position = 0
line_counter = 0
with open(self.file_path, 'r', encoding='utf-8') as fh, tqdm.tqdm(total=os.path.getsize(self.file_path), dynamic_ncols=True, unit='byte', unit_scale=1) as progress:
with mmap.mmap(fh.fileno(), length=0, access=mmap.ACCESS_READ) as mmap_obj:
for line in iter(mmap_obj.readline, b''):
line = line.decode('utf-8')
line_counter += 1
if line_counter == update_frequency:
new_file_pos = mmap_obj.tell()
bytes_read = new_file_pos - current_file_position
current_file_position = new_file_pos
progress.update(bytes_read)
line_counter = 0
yield line[:-1]
def read_and_tell(self):
current_file_position = 0
with open(self.file_path, 'r', encoding='utf8') as fh:
with mmap.mmap(fh.fileno(), length=0, access=mmap.ACCESS_READ) as mmap_obj:
for line in iter(mmap_obj.readline, b''):
line = line.decode('utf-8')
new_file_pos = mmap_obj.tell()
raw_bytes_read = new_file_pos - current_file_position
current_file_position = new_file_pos
yield (line[:-1], raw_bytes_read)
def read(self):
with open(self.file_path, 'r', encoding='utf8') as fh:
with mmap.mmap(fh.fileno(), length=0, access=mmap.ACCESS_READ) as mmap_obj:
for line in iter(mmap_obj.readline, b''):
line = line.decode('utf-8')
yield line[:-1]
def read_slow(self):
with open(self.file_path, 'r', encoding='utf8') as fh:
while True:
line = fh.readline()
if line == -1 or line == '':
break
else:
yield line[:-1]
class ZStdTextReader:
def __init__(self, file) -> None:
self.file = file
def read_tqdm(self):
decompressed_file = self.file[:-4]
print('Decompressing file, please wait...')
os.system(f'zstd -d {self.file}')
reader = TextReader(decompressed_file)
yield from reader.read_tqdm()
os.remove(decompressed_file)
# File: lm-evaluation-harness-main/lm_eval/decontamination/decontaminate.py
import collections
import glob
import json
import os
import pickle
import random
import time
from .archiver import ZStdTextReader
from .janitor import Janitor, word_ngrams
def get_train_overlap_stub(docs: dict, ngrams_path: str, ngrams_n_size: str):
simulated_overlap = 0.1
contaminated = int(len(docs) * simulated_overlap)
return random.sample(range(len(docs)), contaminated)