Update README.md

README.md

@@ -1,22 +1,25 @@
----
-license: cc-by-nc-4.0
-task_categories:
-- text-generation
-language:
-- en
-tags:
-- sql
-- database
-- query-optimization
-- explain-analyze
-- postgresql
-- mysql
-- clickhouse
-- synthetic
-pretty_name: "Enterprise SQL Execution Plan & Query Optimization Traces"
-size_categories:
-- n<1K
----
+---
+license: cc-by-nc-4.0
+task_categories:
+- text-generation
+- question-answering
+language:
+- en
+tags:
+- sql
+- database
+- query-optimization
+- explain-analyze
+- postgresql
+- mysql
+- clickhouse
+- cockroachdb
+- dba
+- fine-tuning
+pretty_name: Enterprise Database Query Plan Optimization & Remediation Traces
+size_categories:
+- 100<n<1K
+---
 
 # Enterprise Database Query Plan Optimization & Remediation Traces (Community Preview)
 
@@ -24,62 +27,83 @@ size_categories:
   <img src="dataset_product_cover_1024.png" alt="Dataset Banner" width="700"/>
 </p>
 
-## Executive Summary
-Modern relational and analytical databases stall under high-throughput concurrency due to planner misestimations, unindexed correlated lookups, merge-sort disk spills, and autovacuum debt.
+## Overview
+High-concurrency database workloads frequently degrade due to optimizer plan misestimations, unindexed correlated joins, merge-sort memory spills, and non-sargable expressions.
 
-This dataset provides real-world query execution plan traces across **PostgreSQL 16, MySQL 8.0, ClickHouse 24, CockroachDB, MariaDB, and SQLite**. Each record captures an authentic production performance regression, the actual optimizer execution plan (`EXPLAIN ANALYZE`), diagnostic thinking identifying why the query planner degraded, concrete remediation DDL, and the rewritten performant query.
+This repository hosts the **Community Preview (250 verified traces)** of an architectural fine-tuning dataset spanning **PostgreSQL 16, MySQL 8.0, ClickHouse 24, CockroachDB, MariaDB, and SQLite**. Each record pairs an authentic production query regression and raw execution plan (`EXPLAIN ANALYZE`) with chain-of-thought architectural diagnosis, actionable remediation DDL, and dialect-compliant optimized queries.
 
 ---
 
-## Complete Enterprise Fine-Tuning Corpus (2,500 Verified Traces)
-
-> **Evaluation Notice:** This Hugging Face edition is a **Community Preview (250 verified traces)** licensed strictly under **CC BY-NC 4.0** for non-commercial research and evaluation.
-
-To acquire the **Full Commercial Training Corpus (2,500 Records in JSONL + Parquet)** with an unrestricted commercial license for fine-tuning private models, agent tool-use, or RAG pipelines:
-
-👉 **[Purchase Enterprise Commercial License via Dodo Payments](https://checkout.dodopayments.com/buy/pdt_sql_2500_xxxx)**
-
-### Enterprise Distribution Splits
+## Dataset Splits & Commercial Licensing
 
 | Split | Records | Format | Primary Use Case | License |
 | :--- | :--- | :--- | :--- | :--- |
-| **Community Evaluation** | 250 | Parquet | Benchmarking, zero-shot evaluation, academic research | CC BY-NC 4.0 |
-| **Enterprise Commercial** | 2,500 | Parquet + JSONL | Supervised Fine-Tuning (SFT), DPO alignment, production DBA copilots | Commercial Grant |
+| **Community Evaluation** (This Repo) | 250 | Parquet | Benchmarking, zero-shot eval, research | **CC BY-NC 4.0** |
+| **Enterprise Commercial Corpus** | 2,500 | Parquet + JSONL | Production fine-tuning (SFT/DPO), commercial DBA agents | **Commercial Enterprise License** |
 
----
+### Complete Enterprise Corpus (2,500 Records)
+For production model deployment, proprietary agent training, or private RAG pipelines without non-commercial restrictions:
+
+👉 **[Acquire Enterprise Commercial License & Dataset via Dodo Payments](https://checkout.dodopayments.com/buy/pdt_sql_2500_xxxx)**
 
-## Dataset Architecture & Taxonomy
+---
 
-Every trace is synthesized through multi-variable schema taxonomy seeds ensuring zero query duplication and wide domain coverage:
+## Data Structure & Schema
 
-* **Fintech & Ledger Systems:** Ledger entry scans, implicit UUID-to-text coercion, statement aggregation scans.
-* **IoT & Telematics:** Timeseries partition decompression mismatches, broad skip-index granules, high-cardinality group-by memory spills.
-* **Multi-Tenant SaaS & RBAC:** Historical audit log deep-OFFSET pagination, unindexed soft-deletion booleans, sub-optimal hash joins.
-* **Healthcare EHR Records:** Unindexed foreign key nested loop joins, leading wildcard ILIKE scans, outdated planner statistics.
-* **Global Logistics & Freight:** Memory sort merge joins on unindexed timestamps, Cartesian row multiplication, undersized `work_mem` spills.
-* **AdTech & Gaming Telemetry:** Late-arriving unindexed stream joins, disk window function partitions, concurrent leaderboard deadlocks.
+```json
+{
+  "database_engine": "string",
+  "slow_query": "string",
+  "execution_plan": "string",
+  "diagnostic_thought": "string",
+  "remediation_ddl": "string",
+  "optimized_query": "string"
+}
+```
 
 ### Field Definitions
 
 | Field | Data Type | Description |
 | :--- | :--- | :--- |
-| `database_engine` | `string` | Target engine and version (e.g., `PostgreSQL 16.2`, `ClickHouse 24.3`, `MySQL 8.0`). |
+| `database_engine` | `string` | Target engine dialect & exact version (e.g., `PostgreSQL 16.2`, `ClickHouse 24.3`). |
 | `slow_query` | `string` | Realistic unoptimized SQL query triggering runtime performance degradation. |
 | `execution_plan` | `string` | Raw optimizer output (`EXPLAIN (ANALYZE, BUFFERS)` or JSON plan) exposing node bottlenecks. |
 | `diagnostic_thought` | `string` | Step-by-step reasoning diagnosing node cost, row estimate deltas, and I/O buffer behavior. |
-| `remediation_ddl` | `string` | Plain executable DDL statements (`CREATE INDEX CONCURRENTLY`, table parameter tuning). |
+| `remediation_ddl` | `string` | Executable DDL statements (`CREATE INDEX CONCURRENTLY`, table parameter tuning). |
 | `optimized_query` | `string` | Performant rewritten query strictly adhering to engine dialect grammar. |
 
 ---
 
-## Schema Example
+## Quickstart (Hugging Face Datasets)
 
-```json
-{
-  "database_engine": "PostgreSQL 16.2",
-  "slow_query": "SELECT order_id, customer_id, total_amount FROM orders WHERE DATE(created_at) = '2026-03-15';",
-  "execution_plan": "Seq Scan on orders  (cost=0.00..45230.10 rows=482 width=24) (actual time=0.042..112.431 rows=512 loops=1)\n  Filter: (date(created_at) = '2026-03-15'::date)\n  Rows Removed by Filter: 1999488\n  Buffers: shared hit=28410",
-  "diagnostic_thought": "The query wraps 'created_at' in the DATE() function inside the WHERE predicate. Even if a standard B-Tree index exists on 'created_at', this function call renders the predicate non-sargable, forcing the PostgreSQL planner to execute a sequential scan across 2 million pages.",
-  "remediation_ddl": "CREATE INDEX CONCURRENTLY idx_orders_created_at_date ON orders ((created_at::date));",
-  "optimized_query": "SELECT order_id, customer_id, total_amount FROM orders WHERE created_at >= '2026-03-15 00:00:00' AND created_at < '2026-03-16 00:00:00';"
-}
+```python
+from datasets import load_dataset
+
+# Load Community Preview
+dataset = load_dataset("ayushjoshi2012/sql-optimization-diagnostic-traces", split="train")
+
+# Inspect a single diagnostic trace
+sample = dataset[0]
+print(f"Engine: {sample['database_engine']}")
+print(f"Slow Query:\n{sample['slow_query']}")
+print(f"Diagnosis:\n{sample['diagnostic_thought']}")
+print(f"Remediation DDL:\n{sample['remediation_ddl']}")
+print(f"Rewritten Query:\n{sample['optimized_query']}")
+```
+
+---
+
+## Core Domain Taxonomy
+
+Traces are generated across representative enterprise schema designs:
+* **Fintech & Ledger Core:** Double-entry ledger scans, implicit UUID-to-integer type coercion, balance aggregations.
+* **IoT & Telematics:** Granule skip-index mismatches, partition decompression stalls, time-bucket groupings.
+* **B2B SaaS & Security:** High-offset tenant audit logs, soft-delete booleans, unindexed RBAC joins.
+* **Healthcare & EHR:** Unindexed composite foreign keys, leading-wildcard text filters, outdated optimizer statistics.
+* **Freight & Global Logistics:** Disk-spilling merge joins on departure timestamps, Cartesian row multiplication.
+* **AdTech & Gaming Telemetry:** Unindexed streaming click joins, unbounded window function sorts, leaderboard lock contention.
+
+---
+
+## Citation & Contact
+For inquiries regarding custom synthetic domain generation, enterprise site licenses, or data additions, please commentinitiate a new discussion.