Update README.md

README.md

@@ -9,7 +9,7 @@ task_categories:
   - question-answering
   - table-question-answering
   - text2text-generation
-pretty_name: SFD - Stanford EDGAR Filings Dataset (v1)
+pretty_name: EFD - EDGAR Filings Dataset (v1)
 tags:
   - finance
   - sec
@@ -29,15 +29,15 @@ configs:
         path: data/parsed/*.parquet
 ---
 
-# SFD: Stanford EDGAR Filings Dataset (v1)
+# EFD: EDGAR Filings Dataset (v1)
 
-**SFD-v1** is an open, layout-faithful reconstruction of U.S. Securities and Exchange Commission (SEC) EDGAR filings into token-efficient MultiMarkdown (MMD), targeted at long-context language modeling, financial reasoning, document understanding, and evaluation.
+**EFD-v1** is an open, layout-faithful reconstruction of U.S. Securities and Exchange Commission (SEC) EDGAR filings into token-efficient MultiMarkdown (MMD), targeted at long-context language modeling, financial reasoning, document understanding, and evaluation.
 
-This release covers filings from **January 2022 through June 2025** (~3.4M filings), produced by the SFD parser described in:
+This release covers filings from **January 2022 through June 2025** (~3.4M filings), produced by the EFD parser described in:
 
 > *The SEC Filings Dataset: Reconstructing U.S. Corporate and Financial Disclosures into Layout-Faithful and Token-Efficient Pretraining Data.* Anonymous Authors (NeurIPS 2026 Evaluations & Datasets Track, under review).
 
-The full SFD corpus is estimated at ~500B tokens across ~18.4M filings (1994–present); this release is a public snapshot focused on the most recent four-and-a-half years.
+The full EFD corpus is estimated at ~500B tokens across ~18.4M filings (1994–present); this release is a public snapshot focused on the most recent four-and-a-half years.
 
 ## Key facts
 
@@ -90,7 +90,7 @@ url = f"https://www.sec.gov/Archives/edgar/data/{int(acc.split('-')[0])}/{acc_cl
 
 ## Methodology summary
 
-SFD treats filings as 2-D rendered grids rather than DOM trees:
+EFD treats filings as 2-D rendered grids rather than DOM trees:
 
 - **HTML:** Reconstructs the *visual* coordinate system; collapses the "Three-Column Hack" (\$ / value / closing-paren split into separate cells); coalesces fragmented multi-row headers using `border-*` and `margin-*` cues; preserves indentation hierarchy by binning CSS units into discrete ` ` levels.
 - **XML:** Routes 33 specialized schemas (Forms 3/4/5, 13F, N-PORT, N-CEN, etc.) through schema-aware emitters that reconstruct human-readable disclosures from field hierarchies.
@@ -103,7 +103,7 @@ See paper §3 for full details.
 
 ## Companion benchmarks
 
-Two evaluation benchmarks are derived from SFD and reported alongside this dataset:
+Two evaluation benchmarks are derived from EFD and reported alongside this dataset:
 
 - **EDGAR-OCR** — 300 hand-selected SEC tables, synthetically perturbed for contamination resistance, scored by adjusted recall over (content × placement × inline formatting).
 - **EDGAR-Forecast** — 50 companies × 5 numeric targets each (250 total) drawn from 2026 10-Q filings, evaluated agentically with prior 5-year filing history visible.
@@ -130,13 +130,13 @@ Released separately when scoring is finalized.
 ## Ethics, privacy, limitations
 
 - All filings are public regulatory disclosures with no expectation of privacy.
-- The dataset preserves filer-supplied content verbatim; SFD does **not** correct factual or accounting errors in the source filings.
+- The dataset preserves filer-supplied content verbatim; EFD does **not** correct factual or accounting errors in the source filings.
 - The MMD reconstruction is high-fidelity but not perfect; estimated ~99% structural/semantic accuracy. A small minority of filings (notably highly visual exhibits with low OCR-recoverable content) may have degraded representation.
 - Token counts reflect the Qwen3-1.7B tokenizer; other tokenizers will differ.
 
 ## Provenance & versions
 
-- **v1** (this release): 2022-01 → 2025-06, parsed by SFD pipeline rev `sec_parser_v65`.
+- **v1** (this release): 2022-01 → 2025-06, parsed by EFD pipeline rev `sec_parser_v65`.
 - Future releases will extend coverage to 1994–2021 and incrementally to 2025-07+.
 
 ## Contact