metadata
pretty_name: IPO Tables (HTML) — Random Yearly Sample
tags:
- sec
- ipo
- s-1
- tables
- html
- finance
- information-extraction
task_categories:
- text-classification
- other
language:
- en
license: mit
size_categories:
- 1K<n<10K
IPO Tables (HTML) — Random Sample Card
A curated table extraction dataset from SEC filing documents, with raw table HTML plus provenance metadata.
What This Dataset Is
This is a random sample targeting 100 extracted tables per year from filings in 1994–2026.
- Middle years are densely represented at 100 tables/year.
- Edge years can be lower where fewer valid tables were available.
- Tables are extracted directly from filing source files and stored as raw HTML.
Full Dataset Link
The full dataset is available here:
https://drive.google.com/drive/folders/16hFhoXy52o9C2dARpxmBHQ6QCZjvum6S?usp=sharing
Snapshot Stats
- Year range: 1994–2026 (33 years)
- Total extracted tables: 3,099
- Years with 100 tables: 30
- Underfilled edge years:
- 1994: 35
- 1995: 64
- 2026: 0
Files
sampled_table_html.csvsampled_table_html.parquetyear_summary.csvdataset_info.json
Row Schema
Each row contains:
sample_id: unique row idtarget_year: sampled year bucketsource_file: source filing path used for extractionsource_filename: filing filenamesource_extension: file extension (.htm,.html,.txt)cik: parsed company identifier (when available)accession_from_filename: accession-like id parsed from filenametable_pick_index_in_filing: selected table index in filingtable_start_char: char offset start in source texttable_end_char: char offset end in source texttable_html: raw extracted table HTMLtable_html_char_length: HTML character length
Intended Use
- Table parsing benchmarks
- Financial document IE experiments
- HTML-to-structured-table extraction
- LLM/RAG evaluation on filing tables
Limitations
- Extraction is HTML-pattern based; malformed markup can reduce recall.
- Some provenance fields depend on filename conventions.
- Edge years may contain fewer tables than the 100 target.
Citation
If you use this sample card dataset, please cite the project/repository and include the full dataset link above.