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793597_0000088053-18-001331_1 | 497 | 793597 | 2018 | 0000088053-18-001331 | Label | 5 | 3 | 1 | 2 | <table><caption>Label</caption><thead><tr><th>Label</th><th>Element</th><th>Value</th></tr></thead><tbody><tr><th>Risk/Return:</th><td>rr_RiskReturnAbstract</td><td>None</td></tr><tr><th>Registrant Name</th><td>dei_EntityRegistrantName</td><td>CASH ACCOUNT TRUST</td></tr><tr><th>Prospectus Date</th><td>rr_ProspectusDat... | {
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1450501_0001193125-18-024886_0 | 497 | 1450501 | 2018 | 0001193125-18-024886 | Label | 10 | 3 | 1 | 2 | <table><caption>Label</caption><thead><tr><th>Label</th><th>Element</th><th>Value</th></tr></thead><tbody><tr><th>Risk/Return:</th><td>rr_RiskReturnAbstract</td><td>None</td></tr><tr><th>Document Type</th><td>dei_DocumentType</td><td>497</td></tr><tr><th>Document Period End Date</th><td>dei_DocumentPeriodEndDate</td><t... | {
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1450501_0001193125-18-024886_1 | 497 | 1450501 | 2018 | 0001193125-18-024886 | Label | 5 | 3 | 1 | 2 | <table><caption>Label</caption><thead><tr><th>Label</th><th>Element</th><th>Value</th></tr></thead><tbody><tr><th>Risk/Return:</th><td>rr_RiskReturnAbstract</td><td>None</td></tr><tr><th>Registrant Name</th><td>dei_EntityRegistrantName</td><td>Columbia ETF Trust II</td></tr><tr><th>Prospectus Date</th><td>rr_Prospectus... | {
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879569_0001623632-18-000862_0 | 497 | 879569 | 2018 | 0001623632-18-000862 | Label | 10 | 3 | 1 | 2 | <table><caption>Label</caption><thead><tr><th>Label</th><th>Element</th><th>Value</th></tr></thead><tbody><tr><th>Risk/Return:</th><td>rr_RiskReturnAbstract</td><td>None</td></tr><tr><th>Document Type</th><td>dei_DocumentType</td><td>497</td></tr><tr><th>Document Period End Date</th><td>dei_DocumentPeriodEndDate</td><t... | {
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879569_0001623632-18-000862_1 | 497 | 879569 | 2018 | 0001623632-18-000862 | Label | 5 | 3 | 1 | 2 | <table><caption>Label</caption><thead><tr><th>Label</th><th>Element</th><th>Value</th></tr></thead><tbody><tr><th>Risk/Return:</th><td>rr_RiskReturnAbstract</td><td>None</td></tr><tr><th>Registrant Name</th><td>dei_EntityRegistrantName</td><td>FEDERATED FIXED INCOME SECURITIES INC</td></tr><tr><th>Prospectus Date</th><... | {
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1524513_0001193125-15-124460_0 | 497 | 1524513 | 2015 | 0001193125-15-124460 | Label | 11 | 3 | 2 | 2 | <table><caption>Label</caption><thead><tr><th rowspan="2">Label</th><th rowspan="2">Element</th><th>12 Months Ended</th></tr><tr><th>Value</th></tr></thead><tbody><tr><th>Risk/Return:</th><td>rr_RiskReturnAbstract</td><td>None</td></tr><tr><th>Document Type</th><td>dei_DocumentType</td><td>Other</td></tr><tr><th>Docume... | {
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1040587_0001104659-17-068792_0 | 497 | 1040587 | 2017 | 0001104659-17-068792 | Document and Entity Information | 16 | 2 | 1 | 2 | <table><caption>Document and Entity Information</caption><thead><tr><th>Document and Entity Information</th><th>Oct. 30, 2017</th></tr></thead><tbody><tr><th>Prospectus:</th><th>None</th></tr><tr><th>Document Type</th><td>497</td></tr><tr><th>Document Period End Date</th><td>Oct. 30,
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ENTRANT
A HuggingFace mirror of the ENTRANT dataset (Zenodo record 10667088, CC-BY-4.0): 6.7 million structured financial tables extracted from ~330,000 SEC EDGAR filings spanning 10 filing types.
Original paper: Gialitsis et al., Scientific Data 2024, 10.1038/s41597-024-03605-5.
License
CC-BY-4.0 (dataset annotations and structural metadata).
The underlying source documents are SEC EDGAR filings -- publicly filed corporate documents. The factual content of financial statements is not copyrightable under Feist v. Rural Telephone Service (1991); the Nature Scientific Data publication provides strong institutional backing for the CC-BY-4.0 claim on this corpus.
Cite the original ENTRANT paper if you use this dataset (see Citation below).
Configs
One HuggingFace config per SEC filing type. Each config is a single train
split (the authors did not define evaluation splits; partition as needed).
| Config | Filing type | Description |
|---|---|---|
10-K |
Annual report | Large accelerated filers, ~5.9 GB ZIP |
10-Q |
Quarterly report | Most common filing, ~9.4 GB ZIP |
20-F |
Foreign annual report | Non-US issuers, ~556 MB ZIP |
S-1 |
IPO registration | Initial public offerings, ~179 MB ZIP |
S-4 |
Merger/acquisition | M&A registrations, ~886 MB ZIP |
8-K |
Current report | Material events, ~347 MB ZIP |
497 |
Mutual fund prospectus | Investment companies, ~29 MB ZIP |
485BPOS |
Fund registration | Post-effective amendments, ~19 MB ZIP |
10-KT |
Transition annual report | Fiscal-year change filers, ~18 MB ZIP |
18-K |
Foreign government annual | Sovereign / foreign government, ~37 KB ZIP |
Schema
| Field | Type | Description |
|---|---|---|
table_id |
string | {cik}_{accession_number}_{table_index} |
filing_type |
string | SEC filing type (e.g. 10-K) |
cik |
string | SEC Central Index Key |
filing_year |
string | Year of filing |
accession_number |
string | SEC accession number |
title |
string | Table title (may be empty) |
n_rows |
int32 | Number of rows (from RangeAddress) |
n_cols |
int32 | Number of columns (from RangeAddress) |
n_header_rows |
int32 | Number of top header rows |
n_header_cols |
int32 | Number of left header columns |
html |
string | Table rendered as HTML with rowspan/colspan |
cells |
list[struct] | Per-cell records (anchor cells only; see below) |
language |
string | Language of content |
Cell struct fields: row, col, rowspan, colspan (int32);
text (string); is_header (bool, top header); is_attribute (bool, left header).
Only anchor cells (top-left corner of merged spans) are included;
interior cells of a merged region are omitted.
Usage
from datasets import load_dataset
# Stream annual reports without downloading all 17 GB
ds = load_dataset(
"rootsautomation/ENTRANT",
"10-K",
split="train",
streaming=True,
)
for row in ds:
print(row["title"], row["n_rows"], row["n_cols"])
break
# Load a smaller config fully into memory
ds_18k = load_dataset("rootsautomation/ENTRANT", "18-K", split="train")
Citation
@article{gialitsis2024entrant,
title = {ENTRANT: A Large Financial Dataset for Table Understanding},
author = {Gialitsis, Nikolaos and Tzoumerkas, Konstantinos
and Dalamagas, Theodore},
journal = {Scientific Data},
volume = {11},
year = {2024},
doi = {10.1038/s41597-024-03605-5},
}
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