align license with GitHub repo (apache-2.0)

README.md

@@ -1,9 +1,8 @@
 ---
-license: mit
+license: apache-2.0
 task_categories:
   - table-question-answering
   - text-classification
-  - time-series-forecasting
 language:
   - ko
   - en
@@ -17,14 +16,11 @@ tags:
   - korea
   - financial-statements
   - corporate-filings
-  - krx
-  - ohlcv
-  - market-data
   - 전자공시
   - 재무제표
   - 사업보고서
   - 한국
-pretty_name: DartLab 전자공시 + 시장 데이터
+pretty_name: DartLab 전자공시 데이터
 size_categories:
   - 1K<n<10K
 ---
@@ -37,14 +33,14 @@ size_categories:
 
 <h3>DartLab Data</h3>
 
-<p><b>Structured company data + market data from DART, EDGAR, KRX</b></p>
-<p>한국 DART 공시 + 미국 SEC EDGAR 공시 + KRX 시장 데이터 — 한 dataset, 여러 카테고리</p>
+<p><b>Structured company data from DART & EDGAR disclosure filings</b></p>
+<p>DART 전자공시 + EDGAR 공시 데이터 — 한국 2,700사 / 미국 970사</p>
 
 <p>
 <a href="https://github.com/eddmpython/dartlab"><img src="https://img.shields.io/badge/GitHub-dartlab-ea4647?style=for-the-badge&labelColor=050811&logo=github&logoColor=white" alt="GitHub"></a>
 <a href="https://pypi.org/project/dartlab/"><img src="https://img.shields.io/pypi/v/dartlab?style=for-the-badge&color=ea4647&labelColor=050811&logo=pypi&logoColor=white" alt="PyPI"></a>
 <a href="https://eddmpython.github.io/dartlab/"><img src="https://img.shields.io/badge/Docs-GitHub_Pages-38bdf8?style=for-the-badge&labelColor=050811&logo=github-pages&logoColor=white" alt="Docs"></a>
-<a href="https://buymeacoffee.com/eddmpython"><img src="https://img.shields.io/badge/Sponsor-Buy_Me_A_Coffee-ffdd00?style=for-the-badge&labelColor=050811&logo=buy-me-a-coffee&logoColor=white" alt="Sponsor"></a>
+<a href="https://buymeacoffee.com/dartlab"><img src="https://img.shields.io/badge/Sponsor-Buy_Me_A_Coffee-ffdd00?style=for-the-badge&labelColor=050811&logo=buy-me-a-coffee&logoColor=white" alt="Sponsor"></a>
 </p>
 
 </div>
@@ -53,196 +49,72 @@ size_categories:
 
 <img align="right" src="https://huggingface.co/datasets/eddmpython/dartlab-data/resolve/main/assets/avatar-study.png" width="120">
 
-Pre-built [Parquet](https://parquet.apache.org/) files from [DartLab](https://github.com/eddmpython/dartlab) — a Python library that turns DART (Korea), EDGAR (US), and KRX disclosure & market data into one structured company map.
+Pre-collected [Parquet](https://parquet.apache.org/) files from [DartLab](https://github.com/eddmpython/dartlab) — a Python library that turns DART (Korea) and EDGAR (US) disclosure filings into one structured company map.
 
-한국 DART 전자공시 + 미국 SEC EDGAR 공시 + KRX 거래소 일별 시장 데이터를 동일한 SSOT 로 묶은 데이터셋.
+한국 DART 전자공시 시스템과 미국 SEC EDGAR에서 수집한 기업 공시 데이터입니다.
 
-This dataset is the **data layer** behind DartLab. When you run `dartlab.Company("005930")` or `dartlab.gather("krx", "close")`, the library auto-downloads the relevant parquet from this repo — no API key, no manual collection.
+This dataset is the **data layer** behind DartLab. When you run `dartlab.Company("005930")`, the library automatically downloads the relevant parquet from this repo.
 
-## Datasets
+## Dataset Structure
 
-7 public categories — each lives at its own subdirectory and is consumed by a specific dartlab engine.
+```
+dart/
+├── docs/          2,547 companies  ~8 GB      disclosure text (sections, tables, markdown)
+├── finance/       2,744 companies  ~586 MB    financial statements (BS, IS, CF, XBRL)
+└── report/        2,711 companies  ~319 MB    structured disclosure APIs (28 types)
+```
 
-| Category | Path | Coverage | Engine |
-|---|---|---|---|
-| [dart/docs](#dartdocs--dart-disclosure-text) | `dart/docs/` | 2,547 KR companies, ~8 GB | `Company.show("section")` |
-| [dart/finance](#dartfinance--dart-financial-statements) | `dart/finance/` | 2,744 KR companies, ~586 MB | `Company.show("BS"/"IS"/"CF")` |
-| [dart/report](#dartreport--dart-structured-disclosure-apis) | `dart/report/` | 2,711 KR companies, ~319 MB | `Company.report()` (28 APIs) |
-| [dart/scan](#dartscan--cross-sectional-pre-built) | `dart/scan/` | KR cross-sectional | `dartlab.scan("...")` |
-| [edgar/docs](#edgardocs--edgar-disclosure-text) | `edgar/docs/` | 970 US companies | `Company.show("section")` (US) |
-| [krx/prices](#krxprices--krx-daily-ohlcv-new) ★ | `krx/prices/` | 1995~today, 17 yearly parquets | `gather("krx", target)` |
-| [landing/map](#landingmap--industry-map-json) | `landing/map/` | KR industry graph | `dartlab.industry()` |
+Each file is one company: `{stockCode}.parquet`
 
----
+### docs — Disclosure Text
 
-### dart/docs — DART Disclosure Text
-
-Full-text sections from Korean annual/quarterly reports, parsed into structured blocks.
+Full-text sections from annual/quarterly reports, parsed into structured blocks.
 
 | Column | Description |
-|---|---|
+|--------|------------|
 | `rcept_no` | DART filing ID |
 | `rcept_date` | Filing date |
-| `stock_code` | Stock code (6-digit) |
+| `stock_code` | Stock code |
 | `corp_name` | Company name |
 | `report_type` | Annual/quarterly report type |
-| `section_title` | Original section title (한글) |
+| `section_title` | Original section title |
 | `section_order` | Section ordering |
 | `content` | Section text (markdown) |
 | `blockType` | `text` / `table` / `heading` |
 | `year` | Filing year |
 
-**File**: `dart/docs/{stockCode}.parquet` — one file per company.
+### finance — Financial Statements
 
----
-
-### dart/finance — DART Financial Statements
-
-XBRL-based financial data from DART OpenAPI (`fnlttSinglAcntAll`). BS/IS/CF/SCE × 분기/연간.
+XBRL-based financial data from DART OpenAPI (`fnlttSinglAcntAll`).
 
 | Column | Description |
-|---|---|
+|--------|------------|
 | `bsns_year` | Business year |
 | `reprt_code` | Report quarter code |
 | `stock_code` | Stock code |
 | `corp_name` | Company name |
 | `fs_div` | `CFS` (consolidated) / `OFS` (separate) |
 | `sj_div` | Statement type (BS/IS/CF/SCE) |
-| `account_id` | XBRL account ID (~97% mapped to standard names) |
-| `account_nm` | Account name (한글) |
+| `account_id` | XBRL account ID |
+| `account_nm` | Account name (Korean) |
 | `thstrm_amount` | Current period amount |
 | `frmtrm_amount` | Prior period amount |
 | `bfefrmtrm_amount` | Two periods prior amount |
 
-**File**: `dart/finance/{stockCode}.parquet` — one file per company.
+### report — Structured Disclosure APIs
 
----
-
-### dart/report — DART Structured Disclosure APIs
-
-28 DART API categories covering governance, compensation, shareholding, capital changes, audit opinions, and more.
+28 DART API categories covering governance, compensation, shareholding, and more.
 
 | Column | Description |
-|---|---|
+|--------|------------|
 | `apiType` | API category (e.g., `dividend`, `employee`, `executive`) |
-| `year` / `quarter` | Reporting period |
+| `year` | Year |
+| `quarter` | Quarter |
 | `stockCode` | Stock code |
 | `corpCode` | DART corp code |
 | *(varies)* | Category-specific columns |
 
-**28 API types**: dividend, employee, executive, majorHolder, treasuryStock, capitalChange, auditOpinion, stockTotal, outsideDirector, corporateBond, and 18 more.
-
-**File**: `dart/report/{stockCode}.parquet` — one file per company.
-
----
-
-### dart/scan — Cross-Sectional Pre-Built
-
-Pre-computed cross-sectional aggregates across all KR listed companies (governance ratios, cash-flow patterns, financial ratios, etc.) — for ranking/screening without per-company iteration.
-
-| Subcategory | Content |
-|---|---|
-| `dart/scan/governance/` | Board structure, related-party, ownership concentration |
-| `dart/scan/financial/` | Pre-computed ratios (ROE, debt-to-equity, ...) |
-| `dart/scan/cashflow/` | Operating/investing/financing patterns |
-
-**Engine**: `dartlab.scan("governance/...")` — one call returns all-company DataFrame.
-
----
-
-### edgar/docs — EDGAR Disclosure Text
-
-Full-text sections from US annual/quarterly reports (10-K, 10-Q, 8-K, ...), parsed into the same structure as `dart/docs`. Same library API works for both markets.
-
-**File**: `edgar/docs/{ticker}.parquet`.
-
----
-
-### krx/prices — KRX Daily OHLCV ★ NEW
-
-Daily OHLCV + market cap + listed shares for **all KRX-listed companies (KOSPI + KOSDAQ)**, raw long parquet from KRX OpenAPI.
-
-| Column | Description | Unit |
-|---|---|---|
-| `BAS_DD` | Trade date (YYYYMMDD) | string |
-| `ISU_CD` | Stock code (6-digit) | string |
-| `ISU_NM` | Stock name | string |
-| `MKT_NM` / `SECT_TP_NM` | Market / sector | string |
-| `TDD_OPNPRC` / `TDD_HGPRC` / `TDD_LWPRC` / `TDD_CLSPRC` | Open / High / Low / Close | KRW |
-| `ACC_TRDVOL` / `ACC_TRDVAL` | Volume / Amount | shares / KRW |
-| `MKTCAP` | Market cap | KRW |
-| `LIST_SHRS` | Listed shares | shares |
-| `FLUC_RT` / `CMPPREVDD_PRC` | Daily change rate / price | % / KRW |
-
-**Coverage**: 1995-01-04 ~ today (17 yearly partitions: `raw-1995.parquet` ~ `raw-2026.parquet`).
-**Update**: every weekday at KST 17:00 (after market close + settlement). Auto gap-fill if any cron run is missed.
-**Engine**: `gather("krx", target, ...)` — pivot to wide (rows = stockCode, cols = date) on demand. Adjusted prices (split/bonus/rights) auto-applied via price-series detection (CRSP backward chaining).
-
-```python
-import dartlab
-dartlab.gather("krx", "close", start="2025-01-01", end="2025-06-30")  # close-price wide
-dartlab.gather("krx", "rsi14", start="2025-01-01")                    # 30+ technical indicators
-dartlab.gather("krx", "marketCap", start="2025-06-30")                # market cap snapshot
-```
-
-**No API key needed** — engine reads HF directly. (KRX OpenAPI key is only for operator cron building this dataset.)
-
----
-
-### landing/map — Industry Map JSON
-
-Pre-built industry graph (nodes + edges) for the Korean market — companies × processes × supply-chain edges. Powers the `/map` interactive industry visualization.
-
-**Engine**: `dartlab.industry()` / `c.industry()`.
-
----
-
-## Usage
-
-```python
-import dartlab
-
-# 1. Korean company — auto-downloads dart/docs + dart/finance + dart/report
-c = dartlab.Company("005930")
-c.show("BS")                     # balance sheet (dart/finance)
-c.show("businessOverview")       # business section text (dart/docs)
-c.report("dividend")             # dividend history (dart/report)
-
-# 2. US company — same API, edgar/docs auto
-us = dartlab.Company("AAPL")
-us.show("IS")
-
-# 3. KRX market data — no API key, HF auto
-df = dartlab.gather("krx", "close", start="2024-01-01", end="2024-12-31")  # 1-year wide DataFrame
-
-# 4. Cross-sectional scan
-ranked = dartlab.scan("governance/dividend")  # all KR companies, sorted
-
-# 5. Natural language
-dartlab.ask("삼성전자 재무건전성 분석해줘")
-```
-
-**No API key, no setup** — `pip install dartlab` and the library auto-downloads from this dataset, with local caching.
-
-## Data Source
-
-- **DART** (Korea): [dart.fss.or.kr](https://dart.fss.or.kr) — Financial Supervisory Service's electronic disclosure system
-- **EDGAR** (US): [sec.gov/edgar](https://www.sec.gov/edgar) — SEC's Electronic Data Gathering, Analysis, and Retrieval system
-- **KRX** (Korea): [openapi.krx.co.kr](https://openapi.krx.co.kr) — Korea Exchange OpenAPI (daily OHLCV + market cap + shares)
-
-All data sourced from public/government systems. Numeric figures preserved as-is from the original source — no rounding, no estimation, no interpolation. Adjusted prices computed at use time (raw + events SSOT).
-
-## Update Schedule
-
-| Category | Cadence | Trigger |
-|---|---|---|
-| `dart/docs`, `dart/finance`, `dart/report` | Daily incremental + weekly full sync | GitHub Actions (DART) |
-| `dart/scan` | Daily after dart/finance update | GitHub Actions |
-| `edgar/docs` | Daily incremental | GitHub Actions (EDGAR) |
-| `krx/prices` | Every weekday at KST 17:00 (T-0 same-day, auto gap-fill) | GitHub Actions (KRX) |
-| `landing/map` | On industry-map source change | GitHub Actions (map build) |
-
-Recent 7-day filings checked incrementally; full re-sync on schema changes.
+**28 API types:** dividend, employee, executive, majorHolder, treasuryStock, capitalChange, auditOpinion, stockTotal, outsideDirector, corporateBond, and more.
 
 ## Learn More
 
@@ -265,6 +137,26 @@ DartLab auto-downloads from this dataset — one stock code gives you the full c
 
 <img align="right" src="https://huggingface.co/datasets/eddmpython/dartlab-data/resolve/main/assets/avatar-discover.png" width="120">
 
+## Data Source
+
+- **DART** (Korea): [dart.fss.or.kr](https://dart.fss.or.kr) — Korea's electronic disclosure system operated by the Financial Supervisory Service
+- **EDGAR** (US): [sec.gov/edgar](https://www.sec.gov/edgar) — SEC's Electronic Data Gathering, Analysis, and Retrieval system
+
+All data is sourced from public government disclosure systems. Financial figures are preserved as-is from the original filings — no rounding, no estimation, no interpolation.
+
+## Update Schedule
+
+This dataset is updated automatically via GitHub Actions (daily). Recent filings (last 7 days) are checked and collected incrementally.
+
 ## License
 
-Dataset content licensed MIT. Underlying source data is governed by each source's terms (DART, SEC EDGAR, KRX OpenAPI). See [data source attribution](#data-source).
+Apache 2.0 — same as [DartLab](https://github.com/eddmpython/dartlab).
+
+## Support
+
+If DartLab is useful for your work, consider supporting the project:
+
+[![Buy Me A Coffee](https://img.shields.io/badge/Buy_Me_A_Coffee-Support-ffdd00?style=for-the-badge&labelColor=050811&logo=buy-me-a-coffee&logoColor=white)](https://buymeacoffee.com/dartlab)
+
+- [GitHub Issues](https://github.com/eddmpython/dartlab/issues) — bug reports, feature requests
+- [Blog](https://eddmpython.github.io/dartlab/blog/) — 120+ articles on Korean disclosure analysis