Datasets:
Formats:
parquet
Size:
100K - 1M
Tags:
table-recognition
table-structure-recognition
document-image-analysis
ocr
document-understanding
cv
License:
Download scripts/fill_html.py from CheneyWong/table_recognition_eval: direct link, hf CLI and curl.
- Browser
- Download file 4.7 kB
-
https://huggingface.co/datasets/CheneyWong/table_recognition_eval/resolve/main/scripts/fill_html.py
- Command line
-
hf download hf://datasets/CheneyWong/table_recognition_eval/scripts/fill_html.py
-
curl -L -o fill_html.py https://huggingface.co/datasets/CheneyWong/table_recognition_eval/resolve/main/scripts/fill_html.py
4.7 kB
| #!/usr/bin/env python3 | |
| """Fill missing `html` by converting each row's `otsl` (the reverse direction). | |
| OTSL and HTML are interconvertible. Sources that ship OTSL but no HTML | |
| (TabRecSet) get HTML generated here. | |
| Token grammar handled: | |
| <fcel> new cell starts, text follows inline | |
| <ecel> empty cell | |
| <lcel> cell continues to the LEFT -> colspan += 1 | |
| <ulcel> cell continues ABOVE -> rowspan += 1 | |
| <xcel> continues both ways -> colspan += 1, rowspan += 1 | |
| <nl> end of row | |
| Rows shorter than the widest row are padded with empty cells, matching the | |
| square-grid convention PaddleOCR uses. | |
| Usage: python3 fill_html.py <in.parquet> <out.parquet> [--workers N] | |
| """ | |
| import multiprocessing as mp | |
| import re | |
| import sys | |
| import pyarrow as pa | |
| import pyarrow.parquet as pq | |
| _TOK = re.compile(r"<(fcel|ecel|lcel|ulcel|xcel|nl)>") | |
| _WS = re.compile(r"\s+") | |
| _ESC = {"&": "&", "<": "<", ">": ">"} | |
| def _esc(t): | |
| return "".join(_ESC.get(c, c) for c in t) | |
| def parse_otsl(otsl): | |
| """-> list of rows; each row is a list of (text, colspan, rowspan).""" | |
| rows, cur = [], [] | |
| cell = None # [text, colspan, rowspan] of the cell being filled | |
| def flush(): | |
| nonlocal cell | |
| if cell is not None: | |
| cur.append((cell[0].strip(), cell[1], cell[2])) | |
| cell = None | |
| pos = 0 | |
| for m in _TOK.finditer(otsl or ""): | |
| text = otsl[pos:m.start()] | |
| pos = m.end() | |
| tag = m.group(1) | |
| if cell is not None: | |
| cell[0] += text | |
| if tag == "fcel": | |
| flush() | |
| cell = ["", 1, 1] | |
| elif tag == "ecel": | |
| flush() | |
| cur.append(("", 1, 1)) | |
| elif tag == "lcel": | |
| # continuation extends the *current* cell if one is open, | |
| # otherwise the last one already committed to this row | |
| if cell is not None: | |
| cell[1] += 1 | |
| elif cur: | |
| t, cs, rs = cur[-1] | |
| cur[-1] = (t, cs + 1, rs) | |
| elif tag == "ulcel": | |
| if cell is not None: | |
| cell[2] += 1 | |
| elif cur: | |
| t, cs, rs = cur[-1] | |
| cur[-1] = (t, cs, rs + 1) | |
| elif tag == "xcel": | |
| if cell is not None: | |
| cell[1] += 1 | |
| cell[2] += 1 | |
| elif cur: | |
| t, cs, rs = cur[-1] | |
| cur[-1] = (t, cs + 1, rs + 1) | |
| elif tag == "nl": | |
| flush() | |
| rows.append(cur) | |
| cur = [] | |
| flush() | |
| if cur: | |
| rows.append(cur) | |
| return rows | |
| def otsl_to_html(otsl): | |
| """Rebuild a <table> from an OTSL token string.""" | |
| rows = parse_otsl(otsl) | |
| rows = [r for r in rows if r] | |
| if not rows: | |
| return "" | |
| width = max(sum(c[1] for c in r) for r in rows) or 1 | |
| body = [] | |
| for r in rows: | |
| tds, used = [], 0 | |
| for text, cs, rs in r: | |
| used += cs | |
| attrs = "" | |
| if cs > 1: | |
| attrs += f' colspan="{cs}"' | |
| if rs > 1: | |
| attrs += f' rowspan="{rs}"' | |
| tds.append(f"<td{attrs}>{_esc(text)}</td>") | |
| while used < width: # pad short rows | |
| tds.append("<td></td>") | |
| used += 1 | |
| body.append("<tr>" + "".join(tds) + "</tr>") | |
| return "<table>" + "".join(body) + "</table>" | |
| def work(chunk): | |
| return [otsl_to_html(o) for o in chunk] | |
| def main(): | |
| src, dst = sys.argv[1], sys.argv[2] | |
| workers = int(sys.argv[sys.argv.index("--workers") + 1]) if "--workers" in sys.argv else 128 | |
| pf = pq.ParquetFile(src) | |
| schema = pf.schema_arrow | |
| writer = pq.ParquetWriter(dst, schema, compression="zstd") | |
| total = filled = 0 | |
| with mp.Pool(workers) as pool: | |
| for rg in range(pf.num_row_groups): | |
| t = pf.read_row_group(rg) | |
| htmls = t.column("html").to_pylist() | |
| otsls = t.column("otsl").to_pylist() | |
| todo = [i for i in range(len(otsls)) if not htmls[i] and otsls[i]] | |
| if todo: | |
| for i, s in zip(todo, pool.map(work, [otsls[i] for i in todo], | |
| chunksize=64)): | |
| htmls[i] = s | |
| filled += len(todo) | |
| i = schema.get_field_index("html") | |
| t = t.set_column(i, schema.field("html"), | |
| pa.array(htmls, type=schema.field("html").type)) | |
| writer.write_table(t) | |
| total += t.num_rows | |
| writer.close() | |
| print(f"done: {total} rows, {filled} html generated -> {dst}") | |
| if __name__ == "__main__": | |
| main() | |