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README.md CHANGED
@@ -37,7 +37,7 @@ No market prices or equity trading data are included, eliminating survivorship b
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  ## Supported Tasks
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- - **Tabular Classification**: Predict financial distress, value creation, fundamental improvement
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  - **Tabular Regression**: Predict quality scores (f_score, z_prime_score, composite_quality_score), growth rates
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  - **Anomaly Detection**: Identify companies in financial distress or with QA anomalies
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@@ -50,9 +50,9 @@ No market prices or equity trading data are included, eliminating survivorship b
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  | train | 221,779 | 11,786 | 2008-12-31 to 2019-12-31 |
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  | validation | 45,109 | 7,207 | 2020-01-31 to 2021-12-31 |
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  | test | 47,334 | 7,208 | 2022-01-31 to 2023-12-31 |
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- | recent | 38,171 | 6,358 | 2024-01-31 to 2025-11-30 |
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- **Total records:** 352,393
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  ### Feature Groups
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@@ -78,18 +78,18 @@ No market prices or equity trading data are included, eliminating survivorship b
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  ## Target Columns
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- 19 forward-looking prediction targets using same-quarter year-over-year comparisons:
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  ### 1-Year Targets
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  - **Growth rates** (6): BVPS, equity, earnings, revenue, OCF, FCF growth
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  - **Level/delta** (2): Forward ROE, margin expansion
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- - **Binary** (4): ROA improved, fundamentals improved (≥3 of 5 metrics), value created (equity grew AND ROE>0), survived
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  ### 2-Year Targets
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  - **Growth rates** (6): Same metrics as 1-year, over 2-year horizon
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- - **Binary** (1): Survived 2 years
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- All targets are null when forward quarter data is unavailable.
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  ### Rank-Transformed Targets (14 columns)
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@@ -102,15 +102,16 @@ regression models. Rank-transforming yields IC ~0.37.
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  ### Source Data
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- All data sourced exclusively from SEC EDGAR Financial Statement Data Sets (FSDS), 2009-present.
 
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  No market data providers. No third-party data. No equity pricing data.
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  ### Pipeline
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- 1. **Ingest**: Download quarterly SEC FSDS ZIP files from EDGAR
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  2. **Parse**: Extract XBRL financial data, normalize 32 tags to standard fields
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- 3. **Enrich**: Compute derived ratios (8), scoring models (5), and QA flags
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- 4. **Label**: Generate 19 forward-looking prediction targets
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  5. **Split**: Temporal train/validation/test/recent splits with leakage validation
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  6. **Evaluate**: Quality checks, ML fitness, and publication readiness
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  7. **Publish**: Stage and upload to Hugging Face Hub
@@ -123,6 +124,7 @@ No market data providers. No third-party data. No equity pricing data.
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  - F-Score delta components require prior quarter data (null for first appearance)
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  - Z'-Score was designed for manufacturing firms; interpretation varies by sector
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  - No market data: cannot compute price-based metrics (P/E, market cap, etc.)
 
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  ### Bias Considerations
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  ## Supported Tasks
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+ - **Tabular Classification**: Predict financial distress, bankruptcy, value creation, fundamental improvement
41
  - **Tabular Regression**: Predict quality scores (f_score, z_prime_score, composite_quality_score), growth rates
42
  - **Anomaly Detection**: Identify companies in financial distress or with QA anomalies
43
 
 
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  | train | 221,779 | 11,786 | 2008-12-31 to 2019-12-31 |
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  | validation | 45,109 | 7,207 | 2020-01-31 to 2021-12-31 |
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  | test | 47,334 | 7,208 | 2022-01-31 to 2023-12-31 |
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+ | recent | 43,288 | 6,507 | 2024-01-31 to 2026-02-28 |
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+ **Total records:** 357,510
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  ### Feature Groups
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  ## Target Columns
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+ 21 forward-looking prediction targets using same-quarter year-over-year comparisons:
82
 
83
  ### 1-Year Targets
84
  - **Growth rates** (6): BVPS, equity, earnings, revenue, OCF, FCF growth
85
  - **Level/delta** (2): Forward ROE, margin expansion
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+ - **Binary** (5): ROA improved, fundamentals improved (≥3 of 5 metrics), value created (equity grew AND ROE>0), survived (filed Q+4 AND no bankruptcy in window), filed for bankruptcy (petition within 365 days)
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  ### 2-Year Targets
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  - **Growth rates** (6): Same metrics as 1-year, over 2-year horizon
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+ - **Binary** (2): Survived (filed Q+8 AND no bankruptcy in window), filed for bankruptcy (petition within 730 days)
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+ Survived and bankruptcy targets are mutually exclusive by construction. All targets are null when forward quarter data is unavailable.
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  ### Rank-Transformed Targets (14 columns)
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  ### Source Data
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+ All data sourced from SEC EDGAR: Financial Statement Data Sets (FSDS) for fundamentals
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+ and Full-Text Search API (EFTS) for 8-K Item 1.03 bankruptcy filings.
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  No market data providers. No third-party data. No equity pricing data.
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  ### Pipeline
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+ 1. **Ingest**: Download quarterly SEC FSDS ZIP files and bankruptcy events from EDGAR
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  2. **Parse**: Extract XBRL financial data, normalize 32 tags to standard fields
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+ 3. **Enrich**: Compute derived ratios (8), scoring models (5), bankruptcy flags, and QA flags
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+ 4. **Label**: Generate 21 forward-looking prediction targets (including bankruptcy)
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  5. **Split**: Temporal train/validation/test/recent splits with leakage validation
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  6. **Evaluate**: Quality checks, ML fitness, and publication readiness
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  7. **Publish**: Stage and upload to Hugging Face Hub
 
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  - F-Score delta components require prior quarter data (null for first appearance)
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  - Z'-Score was designed for manufacturing firms; interpretation varies by sector
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  - No market data: cannot compute price-based metrics (P/E, market cap, etc.)
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+ - Bankruptcy chapter classification is not yet extracted (requires filing body parsing)
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  ### Bias Considerations
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