Datasets:
Formats:
parquet
Size:
100K - 1M
Tags:
table-recognition
table-structure-recognition
document-image-analysis
ocr
document-understanding
cv
License:
Upload README.md with huggingface_hub
Browse files
README.md
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# Table Recognition Benchmark
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-
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(**184,074** tables, ~8.6 GB of images). Every row carries **both** an OTSL
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and an HTML ground truth, plus a flag marking the tables that carry no cell
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text at all.
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The legacy `eval/` directory (129 shards, 105,311 rows) is kept untouched for
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backward compatibility.
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## Layout
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```
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shard_0000.parquet ... shard_0063.parquet # 64 evenly-sized shards
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overlong.parquet # oversized / over-long tables
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README.md # you are here
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```
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Shards are balanced by **total image bytes, not row count** — each holds
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# Table Recognition Benchmark
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17 public and self-built table sources merged into **64 uniformly sized shards**
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(**184,074** tables, ~8.6 GB of images). Every row carries **both** an OTSL
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and an HTML ground truth, plus a flag marking the tables that carry no cell
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text at all.
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## Layout
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```
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shard_0000.parquet ... shard_0063.parquet # 64 evenly-sized shards
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overlong.parquet # oversized / over-long tables
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README.md # you are here
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scripts/fill_otsl.py # html -> otsl
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scripts/fill_html.py # otsl -> html
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```
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Shards are balanced by **total image bytes, not row count** — each holds
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