From 61753f984f6de7d2be6611a64ce37d35708f23cf Mon Sep 17 00:00:00 2001 From: gabrieldemarmiesse Date: Mon, 29 Sep 2025 12:18:26 +0000 Subject: [PATCH 1/5] Add rolling repetitions to the documents --- python/dactory/create.py | 5 ++++- python/dactory/document.py | 1 + src/lib.rs | 2 ++ src/repetitions.rs | 7 ++++++- 4 files changed, 13 insertions(+), 2 deletions(-) diff --git a/python/dactory/create.py b/python/dactory/create.py index ee1ebfa..e293736 100644 --- a/python/dactory/create.py +++ b/python/dactory/create.py @@ -13,7 +13,7 @@ from retry import retry from tqdm import tqdm -from dactory import dedup_document +from dactory import dedup_document, compute_repetitions_rolling from dactory.bloom_filter import load_bloom_filter from dactory.scoring import ScoringModels from dactory.zstd_writer import zstd_writer @@ -81,6 +81,7 @@ def get_record_dict( group_idx=group_idx, warc_file=warc_file, record_idx=record_idx, + repetitions=None, # will be filled later ) @@ -220,11 +221,13 @@ def download_warcs_for_group(args: LoadedArgs, group_idx: int, warc_paths: list[ ) if len(document.text) < args.min_length: continue + document.repetitions = compute_repetitions_rolling(document.text, 20) if args.scoring_models is not None: scores = args.scoring_models.get_doc_scores(document.text, document.language) if scores["rand"] > args.max_rand_score: continue + progress_bar_bytes.update(len(document.text)) work_already_done[document.warc_file].last_record_seen = document.record_idx diff --git a/python/dactory/document.py b/python/dactory/document.py index ffb9a1b..96ef3cb 100644 --- a/python/dactory/document.py +++ b/python/dactory/document.py @@ -14,6 +14,7 @@ class Document(BaseModel): group_idx: int warc_file: str record_idx: int + repetitions: int | None class Config: validate_by_name = True diff --git a/src/lib.rs b/src/lib.rs index 92cbdb9..43681d9 100644 --- a/src/lib.rs +++ b/src/lib.rs @@ -3,11 +3,13 @@ use pyo3::prelude::*; mod bloom; mod code; mod entry; +mod repetitions; /// A Python module implemented in Rust. #[pymodule] fn dactory(m: &Bound<'_, PyModule>) -> PyResult<()> { m.add_function(wrap_pyfunction!(entry::dedup_document, m)?)?; + m.add_function(wrap_pyfunction!(repetitions::compute_repetitions_rolling, m)?)?; m.add_class::()?; m.add_class::()?; Ok(()) diff --git a/src/repetitions.rs b/src/repetitions.rs index cc14941..82176e0 100644 --- a/src/repetitions.rs +++ b/src/repetitions.rs @@ -1,3 +1,7 @@ +use std::collections::HashMap; +use pyo3::prelude::*; + + fn fnv1a_64(data: &[u8]) -> u64 { let mut h = 14695981039346656037u64; for b in data { @@ -17,7 +21,8 @@ fn init_adler_32(data: &[u8], n: usize) -> (u32, u32) { (a, b) } -fn compute_repetitions_rolling(text: &String, n: usize) -> u32 { +#[pyfunction] +pub fn compute_repetitions_rolling(text: &str, n: usize) -> u32 { let mut n_repetitions = 0; let text = text.as_bytes(); let mut ngrams = vec![0 as u32; 4 * text.len()]; From aaf963e1a82373bb5ddc4b7021b3b8a060136cfe Mon Sep 17 00:00:00 2001 From: rfbr Date: Fri, 3 Oct 2025 15:44:50 +0000 Subject: [PATCH 2/5] Add normalization by the text length in the rolling repetition function --- python/dactory/document.py | 2 +- src/repetitions.rs | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/python/dactory/document.py b/python/dactory/document.py index 96ef3cb..ce35a0f 100644 --- a/python/dactory/document.py +++ b/python/dactory/document.py @@ -14,7 +14,7 @@ class Document(BaseModel): group_idx: int warc_file: str record_idx: int - repetitions: int | None + repetitions: float | None class Config: validate_by_name = True diff --git a/src/repetitions.rs b/src/repetitions.rs index 82176e0..1f6190f 100644 --- a/src/repetitions.rs +++ b/src/repetitions.rs @@ -22,14 +22,14 @@ fn init_adler_32(data: &[u8], n: usize) -> (u32, u32) { } #[pyfunction] -pub fn compute_repetitions_rolling(text: &str, n: usize) -> u32 { +pub fn compute_repetitions_rolling(text: &str, n: usize) -> f32 { let mut n_repetitions = 0; let text = text.as_bytes(); let mut ngrams = vec![0 as u32; 4 * text.len()]; //let mut ngrams = vec![0 as u8; 16 * text.len()]; if text.len() <= n { - return 0; + return 0.0; } //let (mut a, mut b) = init_adler_32(&text, n); @@ -73,7 +73,7 @@ pub fn compute_repetitions_rolling(text: &str, n: usize) -> u32 { ngrams[p] = h32; } } - n_repetitions + n_repetitions as f32 / text.len() as f32 } fn compute_repetitions(text: &String, n: usize) -> u32 { From 5735e8eb06369c006272096d2c7312303d901ac3 Mon Sep 17 00:00:00 2001 From: rfbr Date: Mon, 6 Oct 2025 14:37:22 +0000 Subject: [PATCH 3/5] Add long words computation method --- pyproject.toml | 9 +- python/dactory/create.py | 7 +- python/dactory/document.py | 1 + src/lib.rs | 1 + src/repetitions.rs | 14 + tests/__init__.py | 0 tests/rust/__init__.py | 0 tests/rust/test_repetitions.py | 31 +++ uv.lock | 452 ++++++++++++++++++--------------- 9 files changed, 306 insertions(+), 209 deletions(-) create mode 100644 tests/__init__.py create mode 100644 tests/rust/__init__.py create mode 100644 tests/rust/test_repetitions.py diff --git a/pyproject.toml b/pyproject.toml index ab963d5..b8f4934 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,4 +1,3 @@ - [project] name = "dactory" description = "The data factory" @@ -28,6 +27,11 @@ classifiers = [ ] dynamic = ["version"] +[dependency-groups] +dev = [ + "pytest>=8.4.2", +] + [project.scripts] dactory = "dactory.main:main" @@ -54,3 +58,6 @@ line-length = 95 [tool.ruff.format] skip-magic-trailing-comma = true + +[tool.pytest.ini_options] +testpaths = ["tests"] diff --git a/python/dactory/create.py b/python/dactory/create.py index e293736..759a929 100644 --- a/python/dactory/create.py +++ b/python/dactory/create.py @@ -13,7 +13,7 @@ from retry import retry from tqdm import tqdm -from dactory import dedup_document, compute_repetitions_rolling +from dactory import compute_long_words, compute_repetitions_rolling, dedup_document from dactory.bloom_filter import load_bloom_filter from dactory.scoring import ScoringModels from dactory.zstd_writer import zstd_writer @@ -81,7 +81,8 @@ def get_record_dict( group_idx=group_idx, warc_file=warc_file, record_idx=record_idx, - repetitions=None, # will be filled later + repetitions=None, # will be filled later + long_words=None, # will be filled later ) @@ -222,12 +223,12 @@ def download_warcs_for_group(args: LoadedArgs, group_idx: int, warc_paths: list[ if len(document.text) < args.min_length: continue document.repetitions = compute_repetitions_rolling(document.text, 20) + document.long_words = compute_long_words(document.text, min_length=15) if args.scoring_models is not None: scores = args.scoring_models.get_doc_scores(document.text, document.language) if scores["rand"] > args.max_rand_score: continue - progress_bar_bytes.update(len(document.text)) work_already_done[document.warc_file].last_record_seen = document.record_idx diff --git a/python/dactory/document.py b/python/dactory/document.py index ce35a0f..e1493a4 100644 --- a/python/dactory/document.py +++ b/python/dactory/document.py @@ -15,6 +15,7 @@ class Document(BaseModel): warc_file: str record_idx: int repetitions: float | None + long_words: float | None class Config: validate_by_name = True diff --git a/src/lib.rs b/src/lib.rs index 43681d9..87bc589 100644 --- a/src/lib.rs +++ b/src/lib.rs @@ -10,6 +10,7 @@ mod repetitions; fn dactory(m: &Bound<'_, PyModule>) -> PyResult<()> { m.add_function(wrap_pyfunction!(entry::dedup_document, m)?)?; m.add_function(wrap_pyfunction!(repetitions::compute_repetitions_rolling, m)?)?; + m.add_function(wrap_pyfunction!(repetitions::compute_long_words, m)?)?; m.add_class::()?; m.add_class::()?; Ok(()) diff --git a/src/repetitions.rs b/src/repetitions.rs index 1f6190f..96d7f2e 100644 --- a/src/repetitions.rs +++ b/src/repetitions.rs @@ -76,6 +76,20 @@ pub fn compute_repetitions_rolling(text: &str, n: usize) -> f32 { n_repetitions as f32 / text.len() as f32 } +#[pyfunction] +pub fn compute_long_words(text: &str, min_length: usize) -> f32 { + if text.len() == 0 { + return 0.0; + } + let mut n_long_words = 0; + for word in text.split_whitespace() { + if word.len() >= min_length { + n_long_words += word.len(); + } + } + n_long_words as f32 / text.len() as f32 +} + fn compute_repetitions(text: &String, n: usize) -> u32 { let mut n_repetitions = 0; let mut ngrams = HashMap::<&[u8], u32>::new(); diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/rust/__init__.py b/tests/rust/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/rust/test_repetitions.py b/tests/rust/test_repetitions.py new file mode 100644 index 0000000..084bc82 --- /dev/null +++ b/tests/rust/test_repetitions.py @@ -0,0 +1,31 @@ +from dactory import compute_long_words + + +class TestComputeLongWords: + """Tests for `compute_long_words` function""" + + error_margin = 1e-6 + + def test_empty_string(self): + text = "" + res = compute_long_words(text, 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path_or_url.startswith(HF_PREFIX): path_or_url = path_or_url.removeprefix(HF_PREFIX) diff --git a/python/dactory/main.py b/python/dactory/main.py index 80ca167..d57b651 100644 --- a/python/dactory/main.py +++ b/python/dactory/main.py @@ -1,9 +1,12 @@ +import io +from collections import Counter from pathlib import Path from typing import Annotated import fasttext import pydantic import typer +import zstandard as zstd from typer import Argument, Option import dactory.create @@ -14,13 +17,14 @@ from dactory.profiling import profile from dactory.scoring import get_scoring_models from dactory.warc_groups import get_warc_groups -from .download_models import HF_PREFIX +from .document import Document +from .download_models import HF_PREFIX KYUTAI_HF_REPOSITORY = HF_PREFIX + "kyutai/dactory-models" DEFAULT_LANGUAGE_DETECTOR_MODEL = ( - f"https://dl.fbaipublicfiles.com/fasttext/supervised-models/lid.176.bin" + "https://dl.fbaipublicfiles.com/fasttext/supervised-models/lid.176.bin" ) # fmt: off @@ -35,11 +39,6 @@ app = typer.Typer() -from .document import Document -import zstandard as zstd -from io import TextIOWrapper -import io -from collections import Counter @app.command() def stats(): @@ -61,11 +60,6 @@ def stats(): print(f"{lang}: {count / total * 100:.2f}%") - - - - - @app.command() def list_languages( lang_detection_model: Annotated[ @@ -107,7 +101,8 @@ class CreateArgs(pydantic.BaseModel): "CC-MAIN-2024-51" ) load_models_early: Annotated[ - bool, Option(help="Load scoring models before downloading, disable for faster iteration.") + bool, + Option(help="Load scoring models before downloading, disable for faster iteration."), ] = True workers: Annotated[ int, diff --git a/python/dactory/profiling.py b/python/dactory/profiling.py index 35e409f..bf16558 100644 --- a/python/dactory/profiling.py +++ b/python/dactory/profiling.py @@ -2,5 +2,5 @@ profile = line_profiler.LineProfiler() -# Add @profile to any function in the codebase, and run any command, -# you'll see a profiling report once the command is finished (even if it is stopped). \ No newline at end of file +# Add @profile to any function in the codebase, and run any command, +# you'll see a profiling report once the command is finished (even if it is stopped). From aba9d0104cc80d9b7ea81b57bda5da4939b42b1f Mon Sep 17 00:00:00 2001 From: rfbr Date: Fri, 10 Oct 2025 13:45:23 +0000 Subject: [PATCH 5/5] Fixing document scores --- python/dactory/create.py | 1 + 1 file changed, 1 insertion(+) diff --git a/python/dactory/create.py b/python/dactory/create.py index 759a929..6b31bcc 100644 --- a/python/dactory/create.py +++ b/python/dactory/create.py @@ -229,6 +229,7 @@ def download_warcs_for_group(args: LoadedArgs, group_idx: int, warc_paths: list[ scores = args.scoring_models.get_doc_scores(document.text, document.language) if scores["rand"] > args.max_rand_score: continue + document.scores = {k: round(v, 3) for k, v in scores.items()} progress_bar_bytes.update(len(document.text)) work_already_done[document.warc_file].last_record_seen = document.record_idx