Datasets:
aggregate
Browse files- prepare_for_release.py +41 -29
prepare_for_release.py
CHANGED
@@ -12,7 +12,7 @@ from multiprocessing import Manager, Pool, cpu_count, set_start_method
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from queue import Queue
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from threading import Thread
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from time import sleep
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from typing import Optional, Tuple
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from smashed.utils import (
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MultiPath,
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@@ -26,35 +26,40 @@ from tqdm import tqdm
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def process_single(
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io_paths: Tuple[MultiPath, MultiPath],
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version: str,
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pbar_queue: Optional[Queue] = None,
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):
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docs_cnt = 0
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with ExitStack() as
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data.pop("metadata", None)
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data["source"] = "s2ag" if "dataset=s2ag" in src.as_str else "s2orc"
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data["split"] = "train" if "split=train" in src.as_str else "valid"
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data["version"] = version
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if pbar_queue is not None:
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pbar_queue.put((
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def threaded_progressbar(q: Queue, timeout: float, total_files: Optional[int] = None):
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@@ -81,9 +86,7 @@ def main():
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ap = argparse.ArgumentParser()
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ap.add_argument("src", type=str, help="Source path")
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ap.add_argument("dst", type=str, help="Destination path")
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ap.add_argument(
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"--debug", default=False, help="Debug mode", action="store_true"
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)
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ap.add_argument(
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"--parallel", type=int, default=cpu_count(), help="Number of parallel processes"
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)
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@@ -95,11 +98,20 @@ def main():
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src = MultiPath.parse(opts.src)
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dst = MultiPath.parse(opts.dst)
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if opts.debug:
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with tqdm(total=len(src_paths)) as pbar:
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@@ -114,7 +126,7 @@ def main():
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pbar_queue: Queue = (manager := Manager()).Queue()
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pbar_thread = Thread(
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target=threaded_progressbar,
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args=(pbar_queue, 0.1, len(src_paths)),
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daemon=True,
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)
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pbar_thread.start()
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from queue import Queue
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from threading import Thread
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from time import sleep
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from typing import List, Optional, Tuple
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from smashed.utils import (
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MultiPath,
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def process_single(
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io_paths: Tuple[List[MultiPath], MultiPath],
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version: str,
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pbar_queue: Optional[Queue] = None,
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):
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all_src, dst = io_paths
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docs_cnt = 0
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with ExitStack() as in_stack, ExitStack() as out_stack:
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out_file = out_stack.enter_context(open_file_for_write(dst, "wb"))
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out_stream = out_stack.enter_context(compress_stream(out_file, "wt"))
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for src in all_src:
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in_file = in_stack.enter_context(stream_file_for_read(src, "rb"))
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in_stream = in_stack.enter_context(decompress_stream(in_file, "rt"))
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for line in in_stream:
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data = json.loads(line)
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data.pop("metadata", None)
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data["source"] = "s2ag" if "dataset=s2ag" in src.as_str else "s2orc"
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data["split"] = "train" if "split=train" in src.as_str else "valid"
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data["version"] = version
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out_stream.write(json.dumps(data) + "\n")
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docs_cnt += 1
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if pbar_queue is not None and docs_cnt % 1000 == 0:
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pbar_queue.put((0, docs_cnt))
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docs_cnt = 0
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in_stack.pop_all().close()
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if pbar_queue is not None:
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pbar_queue.put((1, 0))
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if pbar_queue is not None:
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pbar_queue.put((0, docs_cnt))
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def threaded_progressbar(q: Queue, timeout: float, total_files: Optional[int] = None):
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ap = argparse.ArgumentParser()
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ap.add_argument("src", type=str, help="Source path")
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ap.add_argument("dst", type=str, help="Destination path")
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ap.add_argument("--debug", default=False, help="Debug mode", action="store_true")
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ap.add_argument(
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"--parallel", type=int, default=cpu_count(), help="Number of parallel processes"
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)
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src = MultiPath.parse(opts.src)
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dst = MultiPath.parse(opts.dst)
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# catch all in top level directory
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grouped_src_paths = {}
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for single_src in recursively_list_files(src):
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single_src_dir, _ = single_src.rsplit("/", 1)
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grouped_src_paths.setdefault(single_src_dir, []).append(single_src)
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src_paths: List[List[MultiPath]] = []
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dst_paths: List[MultiPath] = []
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for dir_name, dir_values in grouped_src_paths.items():
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src_paths.append([MultiPath.parse(p) for p in dir_values])
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dir_path = MultiPath.parse(dir_name.replace("part_id=", "") + ".gz")
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dst_path = dst / (diff) if len(diff := (dir_path - src)) > 0 else dst
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dst_path.path = dst_path.path.replace("split=", "").replace("dataset=", "")
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dst_paths.append(dst_path)
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if opts.debug:
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with tqdm(total=len(src_paths)) as pbar:
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pbar_queue: Queue = (manager := Manager()).Queue()
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pbar_thread = Thread(
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target=threaded_progressbar,
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args=(pbar_queue, 0.1, sum(len(p) for p in src_paths)),
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daemon=True,
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)
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pbar_thread.start()
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