Datasets:
File size: 2,186 Bytes
9497d1e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 | #!/usr/bin/env python3
"""Plot stable Polish DynaWord corpus growth across released versions."""
from pathlib import Path
import matplotlib.pyplot as plt
from matplotlib.ticker import FuncFormatter
ROOT = Path(__file__).resolve().parent.parent
OUTPUT = ROOT / "artifacts" / "dataset_size_by_version.png"
VERSIONS = ["v0.2.0", "v0.2.1", "v0.2.2", "v0.2.3"]
DOCUMENTS = [2_490_773, 2_491_773, 2_579_963, 2_710_974]
TOKENS = [6_221_393_871, 6_281_911_234, 6_362_577_363, 6_881_277_362]
def millions(value, _position):
return f"{value / 1_000_000:.1f}M"
def billions(value, _position):
return f"{value / 1_000_000_000:.1f}B"
def main():
plt.style.use("seaborn-v0_8-whitegrid")
fig, axes = plt.subplots(1, 2, figsize=(12, 4.8))
panels = [
(axes[0], DOCUMENTS, "Documents", millions, lambda v: f"{v / 1_000_000:.3f}M", "#2563eb"),
(axes[1], TOKENS, "Tokens (cl100k proxy)", billions, lambda v: f"{v / 1_000_000_000:.3f}B", "#0f766e"),
]
for axis, values, ylabel, formatter, labeler, color in panels:
axis.plot(VERSIONS, values, marker="o", linewidth=2.5, color=color)
axis.fill_between(VERSIONS, values, alpha=0.12, color=color)
axis.set_ylabel(ylabel)
axis.yaxis.set_major_formatter(FuncFormatter(formatter))
axis.spines[["top", "right"]].set_visible(False)
axis.grid(axis="x", visible=False)
padding = (max(values) - min(values)) * 0.3 or max(values) * 0.02
axis.set_ylim(min(values) - padding, max(values) + padding)
for version, value in zip(VERSIONS, values):
axis.annotate(
labeler(value),
(version, value),
xytext=(0, 9),
textcoords="offset points",
ha="center",
fontsize=9,
fontweight="bold",
color=color,
)
fig.suptitle("Polish DynaWord — stable dataset growth by version", fontsize=15)
fig.tight_layout()
OUTPUT.parent.mkdir(parents=True, exist_ok=True)
fig.savefig(OUTPUT, dpi=180, bbox_inches="tight")
plt.close(fig)
print(OUTPUT)
if __name__ == "__main__":
main()
|