src/make_linkedin_card.py

#!/usr/bin/env python3
"""Beautiful LinkedIn teaser card for the open-licensed Polish token dataset.
Vague on provenance: shows totals + domain split + licensing claims only.
"""
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
from matplotlib.patches import FancyBboxPatch
from matplotlib import font_manager as fm

FT = "Avenir Next" if "Avenir Next" in {f.name for f in fm.fontManager.ttflist} else "Helvetica Neue"
plt.rcParams["font.family"] = FT

# palette
BG     = "#0B0F14"
INK    = "#EAF1F8"
MUTED  = "#7E8B9A"
FAINT  = "#1B232D"
GREEN  = "#34E0A1"   # legal & official
BLUE   = "#5AA2FF"   # encyclopedic
VIOLET = "#B98BFF"   # literature

# data (vague domains; numbers in millions of tokens, tiktoken proxy)
domains = [("Legal & official", 4024.9, GREEN),
           ("Encyclopedic & reference", 1509.1, BLUE),
           ("Literature & books", 104.0, VIOLET)]
total = sum(v for _, v, _ in domains)

fig = plt.figure(figsize=(12, 12), dpi=100)
fig.patch.set_facecolor(BG)
ax = fig.add_axes([0, 0, 1, 1]); ax.set_xlim(0, 1); ax.set_ylim(0, 1); ax.axis("off")
ax.add_patch(plt.Rectangle((0, 0), 1, 1, color=BG, zorder=-10))

# top accent bar
ax.add_patch(plt.Rectangle((0, 0.988), 1, 0.012, color=GREEN, zorder=5))

# eyebrow
ax.text(0.07, 0.915, "P O L I S H   L A N G U A G E   ·   O P E N   P R E T R A I N I N G   D A T A",
        color=GREEN, fontsize=14.5, weight="bold", alpha=0.95)
# hero
ax.text(0.07, 0.85, "Licensed to train.", color=INK, fontsize=52, weight="bold")
ax.text(0.072, 0.788,
        "A Polish corpus where every single token is openly licensed —\ncleared for model training, with a documented legal basis.",
        color=MUTED, fontsize=18.5, linespacing=1.45)

# donut (left)
dax = fig.add_axes([0.045, 0.30, 0.44, 0.44]); dax.set_aspect("equal")
vals = [v for _, v, _ in domains]; cols = [c for _, _, c in domains]
dax.pie(vals, colors=cols, startangle=90, counterclock=False,
        wedgeprops=dict(width=0.30, edgecolor=BG, linewidth=4))
dax.text(0, 0.10, "5.6B", ha="center", va="center", color=INK, fontsize=58, weight="bold")
dax.text(0, -0.12, "openly-licensed tokens", ha="center", va="center", color=MUTED, fontsize=16)

# legend (right)
lx, ly = 0.565, 0.625
for name, v, c in domains:
    ax.add_patch(plt.Circle((lx, ly + 0.011), 0.013, color=c, transform=ax.transAxes))
    ax.text(lx + 0.035, ly + 0.020, name, color=INK, fontsize=20, weight="bold", va="center")
    ax.text(lx + 0.035, ly - 0.012, f"{v/total*100:.0f}%   ·   {v/1000:.1f}B tokens",
            color=MUTED, fontsize=14.5, va="center")
    ly -= 0.085

# stat strip
ax.add_patch(plt.Rectangle((0.07, 0.247), 0.86, 0.0016, color=FAINT))
stats = [("2.4M", "documents"), ("100%", "open licenses"),
         ("0", "copyrighted media"), ("human", "written, not synthetic")]
sx = 0.07
for big, small in stats:
    ax.text(sx, 0.205, big, color=INK, fontsize=27, weight="bold")
    ax.text(sx, 0.168, small, color=MUTED, fontsize=14.5)
    sx += 0.225

# license pills (centered row, drawn checkmarks since the font lacks U+2713)
pills = [("Open licenses only", GREEN), ("Traceable provenance", BLUE),
         ("Deduplicated", VIOLET)]
def pw(text): return 0.0125 * len(text) + 0.062
widths = [pw(t) for t, _ in pills]
gap, ph, py = 0.022, 0.05, 0.088
total_w = sum(widths) + gap * (len(pills) - 1)
px = (1 - total_w) / 2
for (t, c), w in zip(pills, widths):
    ax.add_patch(FancyBboxPatch((px, py), w, ph, boxstyle="round,pad=0.004,rounding_size=0.024",
                 mutation_aspect=1, fc=FAINT, ec=c, lw=1.7, zorder=3))
    cx = px + 0.026
    ax.plot([cx, cx + 0.008, cx + 0.02], [py + ph/2, py + ph/2 - 0.008, py + ph/2 + 0.012],
            color=c, lw=2.8, solid_capstyle="round", solid_joinstyle="round", zorder=5)
    ax.text(px + w/2 + 0.016, py + ph/2, t, ha="center", va="center",
            color=INK, fontsize=13.5, weight="bold", zorder=4)
    px += w + gap

# footer
ax.text(0.07, 0.04, "CC-BY-SA  ·  public domain  ·  permissive-only", color=MUTED, fontsize=14)
ax.text(0.93, 0.04, "SLAYER  LABS", color=INK, fontsize=15, weight="bold", ha="right", alpha=0.9)

import os
out = os.path.expanduser("~/Desktop/polish_open_corpus_card.png")
fig.savefig(out, facecolor=BG, dpi=100)
print("saved", out)