| --- |
| license: cc0-1.0 |
| task_categories: |
| - text-classification |
| - text-generation |
| - tabular-classification |
| - tabular-regression |
| language: |
| - en |
| tags: |
| - synthetic |
| - template-generated |
| - database |
| - sql |
| - query-optimization |
| - performance |
| - nosql |
| - mongodb |
| - redis |
| - cassandra |
| - elasticsearch |
| - mysql |
| - postgresql |
| - oracle |
| - sql-server |
| pretty_name: Database Query Logs (synthetic) |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Database Query Logs (synthetic) |
|
|
| 3,995 database query-log entries spanning 10 engines - MySQL, PostgreSQL, MongoDB, SQL |
| Server, Oracle, MariaDB, SQLite, Cassandra, Redis, and Elasticsearch - with query text, |
| type, complexity, execution timing, and row-count metadata. |
|
|
| ## These queries are synthetic |
|
|
| The queries were **programmatically generated**, not captured from production systems. |
| They were produced by templating a set of query shapes across industry-flavored schema |
| names. |
|
|
| The generation shows through: |
|
|
| - 3,195 training rows contain **2,243 distinct queries (70.2%)**; one Elasticsearch query |
| body appears 35 times. |
| - The same query recurs with only the schema name swapped - `DELETE FROM telecom_logs` |
| and `DELETE FROM construction_logs` are otherwise byte-identical. |
| - Some generated SQL is **not valid**. Schema names containing hyphens appear unquoted |
| (`DELETE FROM E-COMMERCE.AUDIT_LOGS`), which will not parse. |
|
|
| A previous version of this card described the contents as "real-world and synthetic". |
| There is no verified production-captured subset; treat the whole dataset as synthetic. |
|
|
| ## Loading |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("robworks-software/database-query-logs-synthetic") |
| ``` |
|
|
| ## Splits |
|
|
| | Split | Rows | |
| |-------|------| |
| | train | 3,195 | |
| | validation | 396 | |
| | test | 404 | |
| | **total** | **3,995** | |
|
|
| ## Appropriate use |
|
|
| - Parser and tokenizer testing across dialects (bearing in mind some queries are invalid). |
| - Query-type and complexity classification. |
| - Teaching examples of dialect syntax differences. |
|
|
| ## Inappropriate use |
|
|
| - **Performance modeling or optimizer research.** `execution_time_ms`, `rows_examined`, |
| and `rows_returned` are generated values. They were not measured on any real system and |
| have no relationship to what these queries would actually cost. Do not train a cost |
| model on them. |
| - **Workload characterization.** The distribution reflects the generator's template mix, |
| not any real application's query pattern. |
|
|
| ## Limitations |
|
|
| - **Synthetic throughout** - see above. |
| - **Some queries are syntactically invalid.** |
| - **70.2% distinct queries**, with heavy near-duplication beyond exact repeats. |
| - **Timing and row-count fields are fabricated.** |
| - **Schema names are industry labels** (`TELECOMMUNICATIONS`, `EDUCATION`, `LOGISTICS`) |
| applied cosmetically; they do not reflect real domain schemas. |
|
|
| ## License |
|
|
| **CC0-1.0.** Entirely generated content, dedicated to the public domain. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @dataset{database_query_logs_synthetic, |
| title = {Database Query Logs (synthetic)}, |
| author = {Robworks Software}, |
| year = {2025}, |
| publisher = {Hugging Face}, |
| note = {Programmatically generated queries; timing metadata is fabricated}, |
| url = {https://huggingface.co/datasets/robworks-software/database-query-logs-synthetic} |
| } |
| ``` |
|
|
