Add polished dataset card with sampling + full dataset link
Browse files
README.md
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---
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pretty_name: IPO Tables (HTML) — Random Yearly Sample
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tags:
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- sec
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- ipo
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- s-1
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- tables
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- html
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- finance
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- information-extraction
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task_categories:
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- text-classification
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- other
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language:
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- en
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license: mit
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size_categories:
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- 1K<n<10K
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---
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# IPO Tables (HTML) — Random Sample Card
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A curated table extraction dataset from SEC filing documents, with raw table HTML plus provenance metadata.
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## What This Dataset Is
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This is a **random sample targeting 100 extracted tables per year** from filings in **1994–2026**.
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- Middle years are densely represented at 100 tables/year.
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- Edge years can be lower where fewer valid tables were available.
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- Tables are extracted directly from filing source files and stored as raw HTML.
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## Full Dataset Link
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The full dataset is available here:
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**https://drive.google.com/drive/folders/16hFhoXy52o9C2dARpxmBHQ6QCZjvum6S?usp=sharing**
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## Snapshot Stats
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- Year range: 1994–2026 (33 years)
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- Total extracted tables: 3,099
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- Years with 100 tables: 30
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- Underfilled edge years:
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- 1994: 35
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- 1995: 64
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- 2026: 0
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## Files
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- `sampled_table_html.csv`
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- `sampled_table_html.parquet`
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- `year_summary.csv`
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- `dataset_info.json`
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## Row Schema
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Each row contains:
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- `sample_id`: unique row id
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- `target_year`: sampled year bucket
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- `source_file`: source filing path used for extraction
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- `source_filename`: filing filename
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- `source_extension`: file extension (`.htm`, `.html`, `.txt`)
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- `cik`: parsed company identifier (when available)
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- `accession_from_filename`: accession-like id parsed from filename
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- `table_pick_index_in_filing`: selected table index in filing
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- `table_start_char`: char offset start in source text
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- `table_end_char`: char offset end in source text
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- `table_html`: raw extracted table HTML
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- `table_html_char_length`: HTML character length
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## How It Was Built
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1. Enumerate filing files by year from local corpus.
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2. Shuffle filings with deterministic seed.
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3. Extract `<table>...</table>` blocks using HTML regex matching.
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4. Keep up to one table per filing for diversity.
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5. Continue until 100 tables for the year (or exhaust candidates).
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## Intended Use
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- Table parsing benchmarks
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- Financial document IE experiments
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- HTML-to-structured-table extraction
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- LLM/RAG evaluation on filing tables
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## Limitations
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- Extraction is HTML-pattern based; malformed markup can reduce recall.
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- Some provenance fields depend on filename conventions.
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- Edge years may contain fewer tables than the 100 target.
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## Citation
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If you use this sample card dataset, please cite the project/repository and include the full dataset link above.
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