Update README

README.md

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+---
+license: other
+license_name: public-domain
+task_categories:
+- tabular-classification
+- tabular-regression
+tags:
+- healthcare
+- pharmacovigilance
+- drug-safety
+- fda
+- adverse-events
+- united-states
+pretty_name: FDA FAERS Drug Adverse Events 2023
+size_categories:
+- 1M<n<10M
+---
+
+# FDA FAERS Drug Adverse Events 2023
+
+FDA Adverse Event Reporting System (FAERS) data for 2023 — cleaned, deduplicated,
+and structured for pharmacovigilance and drug safety research.
+1.5M+ adverse event reports across 7 relational tables, with normalised drug names
+and MedDRA preferred reaction terms.
+
+**This repository contains a 1,000-row sample of the Demographics table (Public Domain).**
+Full dataset (all 7 tables in CSV + Parquet) available at
+[claritystorm.com/datasets/fda-faers](https://claritystorm.com/datasets/fda-faers).
+
+## Quick Start
+
+```python
+from datasets import load_dataset
+ds = load_dataset("claritystorm/fda-faers-drug-adverse-events")
+
+import pandas as pd
+df = pd.read_csv("sample_1000.csv")
+print(df["sex_label"].value_counts())
+print(df["age_years"].describe())
+```
+
+## Schema (DEMO table, selected fields)
+
+| Field | Type | Description |
+|-------|------|-------------|
+| primaryid | string | Unique report identifier |
+| caseid | string | Case ID (groups versions of same case) |
+| caseversion | int | Case version (deduped: latest version kept) |
+| fda_dt | string | FDA receipt date (YYYY-MM-DD) |
+| rept_dt | string | Report date (YYYY-MM-DD) |
+| age_years | float | Patient age in years (normalised) |
+| sex_label | string | Male / Female / Unknown |
+| reporter_type | string | Physician / Consumer / Pharmacist / etc. |
+| report_type | string | Expedited / Periodic / Direct / Voluntary |
+| wt_kg | float | Patient weight in kg (normalised) |
+| _quarter | string | Source quarter (e.g. 2023Q1) |
+
+## Tables in Full Dataset
+
+- **demo** — 1.5M+ rows: one row per deduplicated adverse event report
+- **drug** — 7.4M+ rows: drugs involved in each report
+- **reac** — 5.8M+ rows: MedDRA preferred reaction terms per report
+- **outc** — 1.2M+ rows: serious outcome codes per report (Death, Hospitalization, etc.)
+- **ther** — 2.6M+ rows: drug therapy start/end dates per report
+- **indi** — 4.5M+ rows: drug indication (reason for use) per report
+- **rpsr** — 52K+ rows: report source per report
+
+All tables join on `primaryid`.
+
+## Source
+
+US Food and Drug Administration (FDA), Adverse Event Reporting System (FAERS).
+FDA FAERS data is a US federal government work in the **public domain** (17 U.S.C. 105).
+
+Processed by [ClarityStorm Data](https://claritystorm.com).