id stringlengths 11 11 | dataset stringclasses 1
value | version stringclasses 1
value | split stringclasses 1
value | language stringclasses 1
value | sql_dialect stringclasses 1
value | domain stringclasses 10
values | domain_fa stringclasses 10
values | database_id stringclasses 10
values | database_file stringclasses 10
values | schema_ddl stringclasses 10
values | question_fa stringlengths 59 144 | question_style stringclasses 5
values | query_family_id stringclasses 140
values | difficulty stringclasses 3
values | skills listlengths 2 4 | gold_sql stringlengths 72 382 | reference_date timestamp[s]date 2026-09-05 00:00:00 2026-09-05 00:00:00 | answerable bool 1
class | ambiguity dict | persian_localization dict | execution dict | provenance dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PBTSQL-0001 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، تعداد سفارشهای مربوط به مشتریهای بخش «خردهفروشی» رو به تفکیک وضعیت حساب کن. | colloquial | sales-F01 | easy | [
"aggregation",
"group_by",
"join_filter"
] | SELECT f.status,COUNT(*) AS fact_count FROM orders f JOIN customers e ON e.id=f.customer_id WHERE e.segment='خردهفروشی' GROUP BY f.status ORDER BY fact_count DESC,f.status; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": true,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 5,
"result_sha256": "31a1315e72724a7630a5fb4084bbdc9806737fb91f150fb5544915eb0e2e02a9",
"result_preview": [
[
"cancelled",
23
],
[
"paid",
19
],
[
"pending",
14
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0002 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، تعداد سفارشهای مربوط به مشتریهای بخش «شرکتی» را به تفکیک وضعیت حساب کن. | terse | sales-F01 | easy | [
"aggregation",
"group_by",
"join_filter"
] | SELECT f.status,COUNT(*) AS fact_count FROM orders f JOIN customers e ON e.id=f.customer_id WHERE e.segment='شرکتی' GROUP BY f.status ORDER BY fact_count DESC,f.status; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 5,
"result_sha256": "f0889c3a86ab46edb7aa4e1f48dfeecce1724a34ba45345030956e9ebb21602f",
"result_preview": [
[
"shipped",
21
],
[
"returned",
18
],
[
"paid",
16
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0003 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، تعداد سفارشهای مربوط به مشتریهای بخش «VIP» را به تفکیک وضعیت حساب کن. | mixed_digits | sales-F01 | easy | [
"aggregation",
"group_by",
"join_filter"
] | SELECT f.status,COUNT(*) AS fact_count FROM orders f JOIN customers e ON e.id=f.customer_id WHERE e.segment='VIP' GROUP BY f.status ORDER BY fact_count DESC,f.status; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 5,
"result_sha256": "2f023169c7f572cff4d15ae5e31380bbb8cee8038263b87d316faf4d436bae64",
"result_preview": [
[
"shipped",
18
],
[
"pending",
16
],
[
"cancelled",
14
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0004 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | برای گزارش مدیریتی، در حوزه فروش، تعداد سفارشهای مربوط به مشتریهای بخش «همکار» را به تفکیک وضعیت حساب کن. | business_chat | sales-F01 | easy | [
"aggregation",
"group_by",
"join_filter"
] | SELECT f.status,COUNT(*) AS fact_count FROM orders f JOIN customers e ON e.id=f.customer_id WHERE e.segment='همکار' GROUP BY f.status ORDER BY fact_count DESC,f.status; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 5,
"result_sha256": "10d20514a0caf84aed0a2c3726400dfbba876d4dcb596e35a74ead2857c86a83",
"result_preview": [
[
"returned",
21
],
[
"cancelled",
17
],
[
"paid",
9
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0005 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، تعداد سفارشهای مربوط به مشتریهای بخش «جدید» را به تفکیک وضعیت حساب کن. | formal | sales-F01 | easy | [
"aggregation",
"group_by",
"join_filter"
] | SELECT f.status,COUNT(*) AS fact_count FROM orders f JOIN customers e ON e.id=f.customer_id WHERE e.segment='جدید' GROUP BY f.status ORDER BY fact_count DESC,f.status; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 5,
"result_sha256": "87948acf5b0055f0a0f87bda0888292d6b62e9908200615fcfe3b3e8da10cc4a",
"result_preview": [
[
"shipped",
23
],
[
"returned",
16
],
[
"cancelled",
13
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0006 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، مجموع مبلغ فروش برای سفارشهای با وضعیت «paid» چقدر است؟ | terse | sales-F02 | easy | [
"aggregation",
"filtering"
] | SELECT SUM(total_toman) AS total_metric FROM orders WHERE status='paid'; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 1,
"result_sha256": "b05a83e66138e1ac8874a51fa3a32b53f145164666273a3a52791a2490ed2275",
"result_preview": [
[
2550740000
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0007 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، مجموع مبلغ فروش برای سفارشهای با وضعیت «shipped» چقدر است؟ | mixed_digits | sales-F02 | easy | [
"aggregation",
"filtering"
] | SELECT SUM(total_toman) AS total_metric FROM orders WHERE status='shipped'; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 1,
"result_sha256": "e09594951ff2cfacf8cdfe2e5144e0d246760a1aa93008256d9ac39e59afb0cc",
"result_preview": [
[
3333840000
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0008 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | برای گزارش مدیریتی، در حوزه فروش، مجموع مبلغ فروش برای سفارشهای با وضعیت «cancelled» چقدر است؟ | business_chat | sales-F02 | easy | [
"aggregation",
"filtering"
] | SELECT SUM(total_toman) AS total_metric FROM orders WHERE status='cancelled'; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 1,
"result_sha256": "9e9169b2408532ce91a2dffa93685c265c99d2087720acc84b9300fb931a1909",
"result_preview": [
[
2976070000
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0009 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، مجموع مبلغ فروش برای سفارشهای با وضعیت «pending» چقدر است؟ | formal | sales-F02 | easy | [
"aggregation",
"filtering"
] | SELECT SUM(total_toman) AS total_metric FROM orders WHERE status='pending'; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 1,
"result_sha256": "7cd9c33797a118547686a43619ca2065a9656f795dfea09371336a47ba43400d",
"result_preview": [
[
2643510000
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0010 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، مجموع مبلغ فروش برای سفارشهای با وضعیت «returned» چقدر است؟ | colloquial | sales-F02 | easy | [
"aggregation",
"filtering"
] | SELECT SUM(total_toman) AS total_metric FROM orders WHERE status='returned'; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": true,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 1,
"result_sha256": "6a592294a2edc0213f8f2845f8a49c75d6862d9ff46e82ebbeffb3c997918660",
"result_preview": [
[
2711190000
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0011 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، برای مشتریهای بخش «خردهفروشی»، میانگین مبلغ فروش را به تفکیک گروه نمایش بده. | mixed_digits | sales-F03 | medium | [
"join",
"aggregation",
"group_by",
"segment_filter"
] | SELECT g.region_name AS group_name,AVG(f.total_toman) AS avg_metric FROM orders f JOIN customers e ON e.id=f.customer_id JOIN regions g ON g.id=e.region_id WHERE e.segment='خردهفروشی' GROUP BY g.id,g.region_name ORDER BY avg_metric DESC,group_name; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 6,
"result_sha256": "be363066cc215fe8a8af84b7d163079f46abc494ca24de63653de86bc203a6dd",
"result_preview": [
[
"شرق",
50514166.666666664
],
[
"تهران مرکزی",
37676428.571428575
],
[
"جنوب",
341106... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0012 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | برای گزارش مدیریتی، در حوزه فروش، برای مشتریهای بخش «شرکتی»، میانگین مبلغ فروش را به تفکیک گروه نمایش بده. | business_chat | sales-F03 | medium | [
"join",
"aggregation",
"group_by",
"segment_filter"
] | SELECT g.region_name AS group_name,AVG(f.total_toman) AS avg_metric FROM orders f JOIN customers e ON e.id=f.customer_id JOIN regions g ON g.id=e.region_id WHERE e.segment='شرکتی' GROUP BY g.id,g.region_name ORDER BY avg_metric DESC,group_name; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 6,
"result_sha256": "cf5701ecbae5087047a162c2139cf0c659e260658e96d099499891556ed82a51",
"result_preview": [
[
"غرب",
45305555.55555555
],
[
"جنوب",
43126666.666666664
],
[
"تهران مرکزی",
4233000... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0013 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، برای مشتریهای بخش «VIP»، میانگین مبلغ فروش را به تفکیک گروه نمایش بده. | formal | sales-F03 | medium | [
"join",
"aggregation",
"group_by",
"segment_filter"
] | SELECT g.region_name AS group_name,AVG(f.total_toman) AS avg_metric FROM orders f JOIN customers e ON e.id=f.customer_id JOIN regions g ON g.id=e.region_id WHERE e.segment='VIP' GROUP BY g.id,g.region_name ORDER BY avg_metric DESC,group_name; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 6,
"result_sha256": "ef721415a3f13cfff6f87c80bf00a0fcc8a0dccc8aea50e14e1af30c7c494bbc",
"result_preview": [
[
"آنلاین",
45155454.54545455
],
[
"شمال",
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],
[
"جنوب",
42561818.181... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0014 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، برای مشتریهای بخش «همکار»، میانگین مبلغ فروش رو به تفکیک گروه نشون بده. | colloquial | sales-F03 | medium | [
"join",
"aggregation",
"group_by",
"segment_filter"
] | SELECT g.region_name AS group_name,AVG(f.total_toman) AS avg_metric FROM orders f JOIN customers e ON e.id=f.customer_id JOIN regions g ON g.id=e.region_id WHERE e.segment='همکار' GROUP BY g.id,g.region_name ORDER BY avg_metric DESC,group_name; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": true,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 6,
"result_sha256": "6aac98dd74e5f6c2cb86efc59bb04d4fec3bf6f5727ebfd83210d3e8760ff108",
"result_preview": [
[
"جنوب",
50936250
],
[
"شمال",
42522500
],
[
"تهران مرکزی",
42495000
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0015 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، برای مشتریهای بخش «جدید»، میانگین مبلغ فروش را به تفکیک گروه بده. | terse | sales-F03 | medium | [
"join",
"aggregation",
"group_by",
"segment_filter"
] | SELECT g.region_name AS group_name,AVG(f.total_toman) AS avg_metric FROM orders f JOIN customers e ON e.id=f.customer_id JOIN regions g ON g.id=e.region_id WHERE e.segment='جدید' GROUP BY g.id,g.region_name ORDER BY avg_metric DESC,group_name; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 6,
"result_sha256": "47e4669c721762438ab9389600bd1d4a31182eb9064c59b4e102c73731d42ad1",
"result_preview": [
[
"غرب",
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],
[
"تهران مرکزی",
49735000
],
[
"شمال",
38866153.84615385... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0016 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | برای گزارش مدیریتی، در حوزه فروش، ۳ مشتری با بیشترین مجموع مبلغ فروش را پیدا کن. | business_chat | sales-F04 | medium | [
"join",
"aggregation",
"ordering",
"limit"
] | SELECT e.id,e.customer_name AS entity_name,SUM(f.total_toman) AS total_metric FROM customers e JOIN orders f ON f.customer_id=e.id GROUP BY e.id,e.customer_name ORDER BY total_metric DESC,e.id LIMIT 3; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 3,
"result_sha256": "8bd136e9bfe286a305a5812c09b735e5eee1c722565c2bcfe7d8a2a5baeefaba",
"result_preview": [
[
14,
"هلیا موسوی",
568840000
],
[
8,
"نورا صادقی",
494140000
],
[
37,
"فر... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0017 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، ۵ مشتری با بیشترین مجموع مبلغ فروش را پیدا کن. | formal | sales-F04 | medium | [
"join",
"aggregation",
"ordering",
"limit"
] | SELECT e.id,e.customer_name AS entity_name,SUM(f.total_toman) AS total_metric FROM customers e JOIN orders f ON f.customer_id=e.id GROUP BY e.id,e.customer_name ORDER BY total_metric DESC,e.id LIMIT 5; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 5,
"result_sha256": "6e1af00fe0b80ac88405372033b0b8d6557c89ffd14faacf7279ebbbd5494826",
"result_preview": [
[
14,
"هلیا موسوی",
568840000
],
[
8,
"نورا صادقی",
494140000
],
[
37,
"فر... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0018 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، ۷ مشتری با بیشترین مجموع مبلغ فروش رو در بیار. | colloquial | sales-F04 | medium | [
"join",
"aggregation",
"ordering",
"limit"
] | SELECT e.id,e.customer_name AS entity_name,SUM(f.total_toman) AS total_metric FROM customers e JOIN orders f ON f.customer_id=e.id GROUP BY e.id,e.customer_name ORDER BY total_metric DESC,e.id LIMIT 7; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": false,
"contains_colloquial_register": true,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 7,
"result_sha256": "846a8a3cf19c174536df75df2416663dc416cbe4782243686fd6b199627c17db",
"result_preview": [
[
14,
"هلیا موسوی",
568840000
],
[
8,
"نورا صادقی",
494140000
],
[
37,
"فر... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0019 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، ۱۰ مشتری با بیشترین مجموع مبلغ فروش را پیدا کن. | terse | sales-F04 | medium | [
"join",
"aggregation",
"ordering",
"limit"
] | SELECT e.id,e.customer_name AS entity_name,SUM(f.total_toman) AS total_metric FROM customers e JOIN orders f ON f.customer_id=e.id GROUP BY e.id,e.customer_name ORDER BY total_metric DESC,e.id LIMIT 10; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 10,
"result_sha256": "20eab6b4c02aba5fe518d2689efbdead5b2b3ee83dc0de9196c19183c7e1a8be",
"result_preview": [
[
14,
"هلیا موسوی",
568840000
],
[
8,
"نورا صادقی",
494140000
],
[
37,
"ف... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0020 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، 4 مشتری با بیشترین مجموع مبلغ فروش را پیدا کن. | mixed_digits | sales-F04 | medium | [
"join",
"aggregation",
"ordering",
"limit"
] | SELECT e.id,e.customer_name AS entity_name,SUM(f.total_toman) AS total_metric FROM customers e JOIN orders f ON f.customer_id=e.id GROUP BY e.id,e.customer_name ORDER BY total_metric DESC,e.id LIMIT 4; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 4,
"result_sha256": "569020d87bebb22e59f5e2938cdf248860ec9ca147eed57d95b5c9ed826b78f3",
"result_preview": [
[
14,
"هلیا موسوی",
568840000
],
[
8,
"نورا صادقی",
494140000
],
[
37,
"فر... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0021 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، مشتریهایی را بده که حداقل ۲ سفارش ثبتشده دارند. | formal | sales-F05 | medium | [
"join",
"group_by",
"having"
] | SELECT e.id,e.customer_name AS entity_name,COUNT(f.id) AS fact_count FROM customers e JOIN orders f ON f.customer_id=e.id GROUP BY e.id,e.customer_name HAVING COUNT(f.id)>=2 ORDER BY fact_count DESC,e.id; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 52,
"result_sha256": "4c49cc61b860b36cc8de7d0f0dbe0ff2f525420c5cd31f8f82e46ef6bab3dace",
"result_preview": [
[
14,
"هلیا موسوی",
13
],
[
8,
"نورا صادقی",
12
],
[
30,
"پریناز رفیعی",
... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0022 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، مشتریهایی رو بده که حداقل ۳ سفارش ثبتشده دارند. | colloquial | sales-F05 | medium | [
"join",
"group_by",
"having"
] | SELECT e.id,e.customer_name AS entity_name,COUNT(f.id) AS fact_count FROM customers e JOIN orders f ON f.customer_id=e.id GROUP BY e.id,e.customer_name HAVING COUNT(f.id)>=3 ORDER BY fact_count DESC,e.id; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": false,
"contains_colloquial_register": true,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 52,
"result_sha256": "4c49cc61b860b36cc8de7d0f0dbe0ff2f525420c5cd31f8f82e46ef6bab3dace",
"result_preview": [
[
14,
"هلیا موسوی",
13
],
[
8,
"نورا صادقی",
12
],
[
30,
"پریناز رفیعی",
... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0023 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، مشتریهایی را بده که حداقل ۴ سفارش ثبتشده دارند. | terse | sales-F05 | medium | [
"join",
"group_by",
"having"
] | SELECT e.id,e.customer_name AS entity_name,COUNT(f.id) AS fact_count FROM customers e JOIN orders f ON f.customer_id=e.id GROUP BY e.id,e.customer_name HAVING COUNT(f.id)>=4 ORDER BY fact_count DESC,e.id; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 48,
"result_sha256": "920f115dce903ce8484bd5d4fadaf8b51de86fd7321b353575b9626d93a0c43e",
"result_preview": [
[
14,
"هلیا موسوی",
13
],
[
8,
"نورا صادقی",
12
],
[
30,
"پریناز رفیعی",
... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0024 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، مشتریهایی را بده که حداقل 5 سفارش ثبتشده دارند. | mixed_digits | sales-F05 | medium | [
"join",
"group_by",
"having"
] | SELECT e.id,e.customer_name AS entity_name,COUNT(f.id) AS fact_count FROM customers e JOIN orders f ON f.customer_id=e.id GROUP BY e.id,e.customer_name HAVING COUNT(f.id)>=5 ORDER BY fact_count DESC,e.id; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 41,
"result_sha256": "fbc0fc79ee6fae6cf98127ade21b02f303d06697e13b22cd942d2977a039f69f",
"result_preview": [
[
14,
"هلیا موسوی",
13
],
[
8,
"نورا صادقی",
12
],
[
30,
"پریناز رفیعی",
... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0025 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | برای گزارش مدیریتی، در حوزه فروش، مشتریهایی را بده که حداقل ۶ سفارش ثبتشده دارند. | business_chat | sales-F05 | medium | [
"join",
"group_by",
"having"
] | SELECT e.id,e.customer_name AS entity_name,COUNT(f.id) AS fact_count FROM customers e JOIN orders f ON f.customer_id=e.id GROUP BY e.id,e.customer_name HAVING COUNT(f.id)>=6 ORDER BY fact_count DESC,e.id; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 35,
"result_sha256": "8060458e8be2ab09fd0d078c791cb3144e63b73418e696cc3cdd0ea0f3690b6f",
"result_preview": [
[
14,
"هلیا موسوی",
13
],
[
8,
"نورا صادقی",
12
],
[
30,
"پریناز رفیعی",
... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0026 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، تعداد سفارشهای با وضعیت «paid» از ابتدای ۲۰۲۶ تا امروز رو حساب کن. | colloquial | sales-F06 | easy | [
"date_filtering",
"filtering",
"aggregation"
] | SELECT COUNT(*) AS fact_count FROM orders WHERE status='paid' AND order_date BETWEEN '2026-01-01' AND '2026-09-05'; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": false,
"contains_colloquial_register": true,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 1,
"result_sha256": "977fcd5eeec0244935064e75ac0ed382b82b2c3eb4df34f0497181d08e0efdcf",
"result_preview": [
[
21
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0027 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، تعداد سفارشهای با وضعیت «shipped» از ابتدای ژوئن ۲۰۲۶ تا امروز را حساب کن. | terse | sales-F06 | easy | [
"date_filtering",
"filtering",
"aggregation"
] | SELECT COUNT(*) AS fact_count FROM orders WHERE status='shipped' AND order_date BETWEEN '2026-06-01' AND '2026-09-05'; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 1,
"result_sha256": "eeabd8e733b414a73deef88047a3ea68d22640191cf5f6c793d5389fc5ef3a7f",
"result_preview": [
[
13
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0028 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، تعداد سفارشهای با وضعیت «cancelled» در دوازده ماه اخیر را حساب کن. | mixed_digits | sales-F06 | easy | [
"date_filtering",
"filtering",
"aggregation"
] | SELECT COUNT(*) AS fact_count FROM orders WHERE status='cancelled' AND order_date BETWEEN '2025-09-01' AND '2026-09-05'; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 1,
"result_sha256": "d4dd59028d44a33c66fbf05a8b55e63fe0f34835ae55e03f4b5d0ee7f15e2205",
"result_preview": [
[
41
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0029 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | برای گزارش مدیریتی، در حوزه فروش، تعداد سفارشهای با وضعیت «pending» در ژوئیه و اوت ۲۰۲۶ را حساب کن. | business_chat | sales-F06 | easy | [
"date_filtering",
"filtering",
"aggregation"
] | SELECT COUNT(*) AS fact_count FROM orders WHERE status='pending' AND order_date BETWEEN '2026-07-01' AND '2026-08-31'; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 1,
"result_sha256": "77471ebe3613f4714666523fa961eb443f57dc2396a31528afdbbea86fadc8f8",
"result_preview": [
[
5
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0030 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، تعداد سفارشهای با وضعیت «returned» در سال ۲۰۲۵ را حساب کن. | formal | sales-F06 | easy | [
"date_filtering",
"filtering",
"aggregation"
] | SELECT COUNT(*) AS fact_count FROM orders WHERE status='returned' AND order_date BETWEEN '2025-01-01' AND '2025-12-31'; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 1,
"result_sha256": "521488a321ba20132908087a5cfa920bd098afadef61d84ea0de2f7e8783f021",
"result_preview": [
[
42
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0031 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، روند ماهانه مجموع مبلغ فروش را از ابتدای ۲۰۲۶ تا امروز بده. | terse | sales-F07 | medium | [
"date_time",
"aggregation",
"group_by"
] | SELECT substr(order_date,1,7) AS month,SUM(total_toman) AS total_metric FROM orders WHERE order_date BETWEEN '2026-01-01' AND '2026-09-05' GROUP BY substr(order_date,1,7) ORDER BY month; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 9,
"result_sha256": "3977e537dedda88e626471a36380f7219b63007bfb9b60a41307dbe47f31c5d1",
"result_preview": [
[
"2026-01",
685440000
],
[
"2026-02",
604410000
],
[
"2026-03",
463820000
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0032 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، روند ماهانه مجموع مبلغ فروش را از ابتدای ژوئن 2026 تا امروز نمایش بده. | mixed_digits | sales-F07 | medium | [
"date_time",
"aggregation",
"group_by"
] | SELECT substr(order_date,1,7) AS month,SUM(total_toman) AS total_metric FROM orders WHERE order_date BETWEEN '2026-06-01' AND '2026-09-05' GROUP BY substr(order_date,1,7) ORDER BY month; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 4,
"result_sha256": "d026456088856e8949ff1739a0944367e8ea7bee3f523244eb4949bc8ea0b6e3",
"result_preview": [
[
"2026-06",
563220000
],
[
"2026-07",
530590000
],
[
"2026-08",
676790000
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0033 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | برای گزارش مدیریتی، در حوزه فروش، روند ماهانه مجموع مبلغ فروش را در دوازده ماه اخیر نمایش بده. | business_chat | sales-F07 | medium | [
"date_time",
"aggregation",
"group_by"
] | SELECT substr(order_date,1,7) AS month,SUM(total_toman) AS total_metric FROM orders WHERE order_date BETWEEN '2025-09-01' AND '2026-09-05' GROUP BY substr(order_date,1,7) ORDER BY month; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 13,
"result_sha256": "535dfe23e9b8f199504376161cf2c2d43f0c6e8cc2e2512290472b53477fbde5",
"result_preview": [
[
"2025-09",
955900000
],
[
"2025-10",
446640000
],
[
"2025-11",
496590000
]
]
... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0034 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، روند ماهانه مجموع مبلغ فروش را در ژوئیه و اوت ۲۰۲۶ نمایش بده. | formal | sales-F07 | medium | [
"date_time",
"aggregation",
"group_by"
] | SELECT substr(order_date,1,7) AS month,SUM(total_toman) AS total_metric FROM orders WHERE order_date BETWEEN '2026-07-01' AND '2026-08-31' GROUP BY substr(order_date,1,7) ORDER BY month; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 2,
"result_sha256": "59655674ee566ae02fa5222644476dca0e9b664cf2f5d062806c3f31c5f58edf",
"result_preview": [
[
"2026-07",
530590000
],
[
"2026-08",
676790000
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0035 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، روند ماهانه مجموع مبلغ فروش رو در سال ۲۰۲۵ نشون بده. | colloquial | sales-F07 | medium | [
"date_time",
"aggregation",
"group_by"
] | SELECT substr(order_date,1,7) AS month,SUM(total_toman) AS total_metric FROM orders WHERE order_date BETWEEN '2025-01-01' AND '2025-12-31' GROUP BY substr(order_date,1,7) ORDER BY month; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": false,
"contains_colloquial_register": true,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 12,
"result_sha256": "531123e77755dd0a0532a7bd0a09856586534039ca59843fc345551fff91c02e",
"result_preview": [
[
"2025-01",
721040000
],
[
"2025-02",
649590000
],
[
"2025-03",
841130000
]
]
... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0036 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، مشتریهایی را پیدا کن که از ابتدای 2026 تا امروز هیچ سفارشی نداشتهاند. | mixed_digits | sales-F08 | hard | [
"anti_join",
"left_join",
"date_filtering"
] | SELECT e.id,e.customer_name AS entity_name FROM customers e LEFT JOIN orders f ON f.customer_id=e.id AND f.order_date BETWEEN '2026-01-01' AND '2026-09-05' WHERE f.id IS NULL ORDER BY e.id; | 2026-09-05T00:00:00 | true | {
"level": "medium",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 15,
"result_sha256": "052c6d19594be352a3483ed46e86f423ce6af337f5d6d1f7b0e4bad8a7193645",
"result_preview": [
[
16,
"مهسا شریفی"
],
[
21,
"بردیا نظری"
],
[
28,
"بهاره اسدی"
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0037 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | برای گزارش مدیریتی، در حوزه فروش، مشتریهایی را پیدا کن که از ابتدای ژوئن ۲۰۲۶ تا امروز هیچ سفارشی نداشتهاند. | business_chat | sales-F08 | hard | [
"anti_join",
"left_join",
"date_filtering"
] | SELECT e.id,e.customer_name AS entity_name FROM customers e LEFT JOIN orders f ON f.customer_id=e.id AND f.order_date BETWEEN '2026-06-01' AND '2026-09-05' WHERE f.id IS NULL ORDER BY e.id; | 2026-09-05T00:00:00 | true | {
"level": "medium",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 26,
"result_sha256": "c2a42fca3410fc3962801702ba5b1eb0660a312bc279059555a9c4169dfb0d1b",
"result_preview": [
[
8,
"نورا صادقی"
],
[
9,
"امیرحسین رستمی"
],
[
11,
"علی نادری"
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0038 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، مشتریهایی را پیدا کن که در دوازده ماه اخیر هیچ سفارشی نداشتهاند. | formal | sales-F08 | hard | [
"anti_join",
"left_join",
"date_filtering"
] | SELECT e.id,e.customer_name AS entity_name FROM customers e LEFT JOIN orders f ON f.customer_id=e.id AND f.order_date BETWEEN '2025-09-01' AND '2026-09-05' WHERE f.id IS NULL ORDER BY e.id; | 2026-09-05T00:00:00 | true | {
"level": "medium",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
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32,
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],
[
53,
"ماهان قربانی"
]
]
} | {
"source_type": "original_native_synthetic",
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"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0039 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، مشتریهایی رو در بیار که در ژوئیه و اوت ۲۰۲۶ هیچ سفارشی نداشتهاند. | colloquial | sales-F08 | hard | [
"anti_join",
"left_join",
"date_filtering"
] | SELECT e.id,e.customer_name AS entity_name FROM customers e LEFT JOIN orders f ON f.customer_id=e.id AND f.order_date BETWEEN '2026-07-01' AND '2026-08-31' WHERE f.id IS NULL ORDER BY e.id; | 2026-09-05T00:00:00 | true | {
"level": "medium",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": false,
"contains_colloquial_register": true,
"currency_unit": "toman"
} | {
"verified": true,
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"result_preview": [
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8,
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],
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9,
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],
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10,
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]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0040 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، مشتریهایی را پیدا کن که در سال ۲۰۲۵ هیچ سفارشی نداشتهاند. | terse | sales-F08 | hard | [
"anti_join",
"left_join",
"date_filtering"
] | SELECT e.id,e.customer_name AS entity_name FROM customers e LEFT JOIN orders f ON f.customer_id=e.id AND f.order_date BETWEEN '2025-01-01' AND '2025-12-31' WHERE f.id IS NULL ORDER BY e.id; | 2026-09-05T00:00:00 | true | {
"level": "medium",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
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53,
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54,
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]
]
} | {
"source_type": "original_native_synthetic",
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"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0041 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | برای گزارش مدیریتی، در حوزه فروش، مشتریهایی را بده که میانگین مبلغ فروش آنها در وضعیت «paid» از میانگین کل همان وضعیت بیشتر است. | business_chat | sales-F09 | hard | [
"subquery",
"aggregation",
"having",
"status_filter"
] | SELECT e.id,e.customer_name AS entity_name,AVG(f.total_toman) AS entity_avg FROM customers e JOIN orders f ON f.customer_id=e.id WHERE f.status='paid' GROUP BY e.id,e.customer_name HAVING AVG(f.total_toman)>(SELECT AVG(total_toman) FROM orders WHERE status='paid') ORDER BY entity_avg DESC,e.id; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 19,
"result_sha256": "7eff481385735a42e9085eb5c9178cccbe9a5f5c474c76e1cc49ab712bab5dbf",
"result_preview": [
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],
[
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"source_type": "original_native_synthetic",
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"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0042 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، مشتریهایی را بده که میانگین مبلغ فروش آنها در وضعیت «shipped» از میانگین کل همان وضعیت بیشتر است. | formal | sales-F09 | hard | [
"subquery",
"aggregation",
"having",
"status_filter"
] | SELECT e.id,e.customer_name AS entity_name,AVG(f.total_toman) AS entity_avg FROM customers e JOIN orders f ON f.customer_id=e.id WHERE f.status='shipped' GROUP BY e.id,e.customer_name HAVING AVG(f.total_toman)>(SELECT AVG(total_toman) FROM orders WHERE status='shipped') ORDER BY entity_avg DESC,e.id; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
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],
[
14,
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"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0043 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، مشتریهایی رو بده که میانگین مبلغ فروش آنها در وضعیت «cancelled» از میانگین کل همان وضعیت بیشتر است. | colloquial | sales-F09 | hard | [
"subquery",
"aggregation",
"having",
"status_filter"
] | SELECT e.id,e.customer_name AS entity_name,AVG(f.total_toman) AS entity_avg FROM customers e JOIN orders f ON f.customer_id=e.id WHERE f.status='cancelled' GROUP BY e.id,e.customer_name HAVING AVG(f.total_toman)>(SELECT AVG(total_toman) FROM orders WHERE status='cancelled') ORDER BY entity_avg DESC,e.id; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": true,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 25,
"result_sha256": "2507e1240dbd155ecfa6721d969ae9d47e3ec687a0b8344f6bf065627d176a5d",
"result_preview": [
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20,
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],
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47,
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],
[
33,
... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0044 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، مشتریهایی را بده که میانگین مبلغ فروش آنها در وضعیت «pending» از میانگین کل همان وضعیت بیشتر است. | terse | sales-F09 | hard | [
"subquery",
"aggregation",
"having",
"status_filter"
] | SELECT e.id,e.customer_name AS entity_name,AVG(f.total_toman) AS entity_avg FROM customers e JOIN orders f ON f.customer_id=e.id WHERE f.status='pending' GROUP BY e.id,e.customer_name HAVING AVG(f.total_toman)>(SELECT AVG(total_toman) FROM orders WHERE status='pending') ORDER BY entity_avg DESC,e.id; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
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[
8,
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],
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5,
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"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0045 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، مشتریهایی را بده که میانگین مبلغ فروش آنها در وضعیت «returned» از میانگین کل همان وضعیت بیشتر است. | mixed_digits | sales-F09 | hard | [
"subquery",
"aggregation",
"having",
"status_filter"
] | SELECT e.id,e.customer_name AS entity_name,AVG(f.total_toman) AS entity_avg FROM customers e JOIN orders f ON f.customer_id=e.id WHERE f.status='returned' GROUP BY e.id,e.customer_name HAVING AVG(f.total_toman)>(SELECT AVG(total_toman) FROM orders WHERE status='returned') ORDER BY entity_avg DESC,e.id; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
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} |
PBTSQL-0046 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، آخرین سفارش با وضعیت «paid» برای هر مشتری را نمایش بده. | formal | sales-F10 | hard | [
"correlated_subquery",
"latest_record",
"status_filter"
] | SELECT e.id,e.customer_name AS entity_name,f.id AS fact_id,f.order_date AS fact_date,f.status AS status,f.total_toman AS metric FROM customers e JOIN orders f ON f.customer_id=e.id WHERE f.id=(SELECT f2.id FROM orders f2 WHERE f2.customer_id=e.id AND f2.status='paid' ORDER BY f2.order_date DESC,f2.id DESC LIMIT 1) ORDE... | 2026-09-05T00:00:00 | true | {
"level": "medium",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 34,
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[
2,
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... | {
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"generation_seed": 14050615
} |
PBTSQL-0047 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، آخرین سفارش با وضعیت «shipped» برای هر مشتری رو نشون بده. | colloquial | sales-F10 | hard | [
"correlated_subquery",
"latest_record",
"status_filter"
] | SELECT e.id,e.customer_name AS entity_name,f.id AS fact_id,f.order_date AS fact_date,f.status AS status,f.total_toman AS metric FROM customers e JOIN orders f ON f.customer_id=e.id WHERE f.id=(SELECT f2.id FROM orders f2 WHERE f2.customer_id=e.id AND f2.status='shipped' ORDER BY f2.order_date DESC,f2.id DESC LIMIT 1) O... | 2026-09-05T00:00:00 | true | {
"level": "medium",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
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"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": true,
"currency_unit": "toman"
} | {
"verified": true,
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"generation_seed": 14050615
} |
PBTSQL-0048 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، آخرین سفارش با وضعیت «cancelled» برای هر مشتری را بده. | terse | sales-F10 | hard | [
"correlated_subquery",
"latest_record",
"status_filter"
] | SELECT e.id,e.customer_name AS entity_name,f.id AS fact_id,f.order_date AS fact_date,f.status AS status,f.total_toman AS metric FROM customers e JOIN orders f ON f.customer_id=e.id WHERE f.id=(SELECT f2.id FROM orders f2 WHERE f2.customer_id=e.id AND f2.status='cancelled' ORDER BY f2.order_date DESC,f2.id DESC LIMIT 1)... | 2026-09-05T00:00:00 | true | {
"level": "medium",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
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"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
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3,
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"source_type": "original_native_synthetic",
"external_row_source": null,
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"generation_seed": 14050615
} |
PBTSQL-0049 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، آخرین سفارش با وضعیت «pending» برای هر مشتری را نمایش بده. | mixed_digits | sales-F10 | hard | [
"correlated_subquery",
"latest_record",
"status_filter"
] | SELECT e.id,e.customer_name AS entity_name,f.id AS fact_id,f.order_date AS fact_date,f.status AS status,f.total_toman AS metric FROM customers e JOIN orders f ON f.customer_id=e.id WHERE f.id=(SELECT f2.id FROM orders f2 WHERE f2.customer_id=e.id AND f2.status='pending' ORDER BY f2.order_date DESC,f2.id DESC LIMIT 1) O... | 2026-09-05T00:00:00 | true | {
"level": "medium",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 33,
"result_sha256": "7878c0771c90414fed5732e2b1cadb6a52deb25d7a0ead72a5d7c98a652bab8c",
"result_preview": [
[
1,
"آرمان رضایی",
47,
"2026-05-26",
"pending",
8570000
],
[
2,
"نگار احمدی",
... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0050 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | برای گزارش مدیریتی، در حوزه فروش، آخرین سفارش با وضعیت «returned» برای هر مشتری را نمایش بده. | business_chat | sales-F10 | hard | [
"correlated_subquery",
"latest_record",
"status_filter"
] | SELECT e.id,e.customer_name AS entity_name,f.id AS fact_id,f.order_date AS fact_date,f.status AS status,f.total_toman AS metric FROM customers e JOIN orders f ON f.customer_id=e.id WHERE f.id=(SELECT f2.id FROM orders f2 WHERE f2.customer_id=e.id AND f2.status='returned' ORDER BY f2.order_date DESC,f2.id DESC LIMIT 1) ... | 2026-09-05T00:00:00 | true | {
"level": "medium",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 36,
"result_sha256": "f520fbea67c297a4310e9d9c253d3a34cf6c5d095dc1849daf0d592b76ba354f",
"result_preview": [
[
1,
"آرمان رضایی",
318,
"2026-01-17",
"returned",
37490000
],
[
2,
"نگار احمدی",... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0051 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، سهم درصدی هر وضعیت از کل سفارشها رو از ابتدای ۲۰۲۶ تا امروز حساب کن. | colloquial | sales-F11 | hard | [
"aggregation",
"percentage",
"date_filtering"
] | SELECT status,COUNT(*) AS fact_count,ROUND(100.0*COUNT(*)/(SELECT COUNT(*) FROM orders WHERE order_date BETWEEN '2026-01-01' AND '2026-09-05'),2) AS pct FROM orders WHERE order_date BETWEEN '2026-01-01' AND '2026-09-05' GROUP BY status ORDER BY pct DESC,status; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": false,
"contains_colloquial_register": true,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 5,
"result_sha256": "29d1c86313c20ff6dd57ab76be7303538cbe3cb1864591dd38a372afd52c9fbb",
"result_preview": [
[
"returned",
31,
22.63
],
[
"shipped",
30,
21.9
],
[
"cancelled",
29,
... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0052 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، سهم درصدی هر وضعیت از کل سفارشها را از ابتدای ژوئن ۲۰۲۶ تا امروز حساب کن. | terse | sales-F11 | hard | [
"aggregation",
"percentage",
"date_filtering"
] | SELECT status,COUNT(*) AS fact_count,ROUND(100.0*COUNT(*)/(SELECT COUNT(*) FROM orders WHERE order_date BETWEEN '2026-06-01' AND '2026-09-05'),2) AS pct FROM orders WHERE order_date BETWEEN '2026-06-01' AND '2026-09-05' GROUP BY status ORDER BY pct DESC,status; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 5,
"result_sha256": "db96e6930c076edc658703a92371967986b8c91eafbff8c032eeed5da3d3b52f",
"result_preview": [
[
"returned",
13,
24.53
],
[
"shipped",
13,
24.53
],
[
"paid",
10,
1... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0053 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، سهم درصدی هر وضعیت از کل سفارشها را در دوازده ماه اخیر حساب کن. | mixed_digits | sales-F11 | hard | [
"aggregation",
"percentage",
"date_filtering"
] | SELECT status,COUNT(*) AS fact_count,ROUND(100.0*COUNT(*)/(SELECT COUNT(*) FROM orders WHERE order_date BETWEEN '2025-09-01' AND '2026-09-05'),2) AS pct FROM orders WHERE order_date BETWEEN '2025-09-01' AND '2026-09-05' GROUP BY status ORDER BY pct DESC,status; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 5,
"result_sha256": "42b222b82747bef291a502047677c379233c6922f50d2cd2a6a1e9bb79a7b99e",
"result_preview": [
[
"shipped",
45,
22.73
],
[
"cancelled",
41,
20.71
],
[
"returned",
40,
... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0054 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | برای گزارش مدیریتی، در حوزه فروش، سهم درصدی هر وضعیت از کل سفارشها را در ژوئیه و اوت ۲۰۲۶ حساب کن. | business_chat | sales-F11 | hard | [
"aggregation",
"percentage",
"date_filtering"
] | SELECT status,COUNT(*) AS fact_count,ROUND(100.0*COUNT(*)/(SELECT COUNT(*) FROM orders WHERE order_date BETWEEN '2026-07-01' AND '2026-08-31'),2) AS pct FROM orders WHERE order_date BETWEEN '2026-07-01' AND '2026-08-31' GROUP BY status ORDER BY pct DESC,status; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 5,
"result_sha256": "607410306a61474fac815aafefbfe6aca3c30f3aafe90f2a9510c9b796293a0b",
"result_preview": [
[
"paid",
8,
24.24
],
[
"cancelled",
7,
21.21
],
[
"shipped",
7,
21.... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0055 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، سهم درصدی هر وضعیت از کل سفارشها را در سال ۲۰۲۵ حساب کن. | formal | sales-F11 | hard | [
"aggregation",
"percentage",
"date_filtering"
] | SELECT status,COUNT(*) AS fact_count,ROUND(100.0*COUNT(*)/(SELECT COUNT(*) FROM orders WHERE order_date BETWEEN '2025-01-01' AND '2025-12-31'),2) AS pct FROM orders WHERE order_date BETWEEN '2025-01-01' AND '2025-12-31' GROUP BY status ORDER BY pct DESC,status; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 5,
"result_sha256": "ef2ad9602c673793ab2648f5eea7d51c5fd25e58abddecdc9e1c72989f7a51c8",
"result_preview": [
[
"shipped",
51,
22.87
],
[
"cancelled",
48,
21.52
],
[
"paid",
44,
... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0056 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، سفارشهایی را پیدا کن که مبلغ فروش آنها از 1.10 برابر میانگین کل بیشتر است. | terse | sales-F12 | hard | [
"subquery",
"filtering",
"average"
] | SELECT id,customer_id,order_date,status,total_toman FROM orders WHERE total_toman>(SELECT AVG(total_toman)*1.10 FROM orders) ORDER BY total_toman DESC,id; | 2026-09-05T00:00:00 | true | {
"level": "medium",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 156,
"result_sha256": "66fd58db3fe43d7de64e2627e8cee40803d64e34137468b4d2ee1e7c7d2d4ac8",
"result_preview": [
[
184,
18,
"2025-07-27",
"shipped",
79960000
],
[
305,
12,
"2025-05-18",
"... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0057 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، سفارشهایی را پیدا کن که مبلغ فروش آنها از 1.25 برابر میانگین کل بیشتر است. | mixed_digits | sales-F12 | hard | [
"subquery",
"filtering",
"average"
] | SELECT id,customer_id,order_date,status,total_toman FROM orders WHERE total_toman>(SELECT AVG(total_toman)*1.25 FROM orders) ORDER BY total_toman DESC,id; | 2026-09-05T00:00:00 | true | {
"level": "medium",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 132,
"result_sha256": "d79ea14af08329f6994971303effb5f13facf8593d92aa267aa1be9d00282abc",
"result_preview": [
[
184,
18,
"2025-07-27",
"shipped",
79960000
],
[
305,
12,
"2025-05-18",
"... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0058 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | برای گزارش مدیریتی، در حوزه فروش، سفارشهایی را پیدا کن که مبلغ فروش آنها از 1.40 برابر میانگین کل بیشتر است. | business_chat | sales-F12 | hard | [
"subquery",
"filtering",
"average"
] | SELECT id,customer_id,order_date,status,total_toman FROM orders WHERE total_toman>(SELECT AVG(total_toman)*1.40 FROM orders) ORDER BY total_toman DESC,id; | 2026-09-05T00:00:00 | true | {
"level": "medium",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 109,
"result_sha256": "80e184502aa5a07f0e016ac071587546bbc2b59d3cbf60020c52e833eda39ad6",
"result_preview": [
[
184,
18,
"2025-07-27",
"shipped",
79960000
],
[
305,
12,
"2025-05-18",
"... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0059 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، سفارشهایی را پیدا کن که مبلغ فروش آنها از 1.55 برابر میانگین کل بیشتر است. | formal | sales-F12 | hard | [
"subquery",
"filtering",
"average"
] | SELECT id,customer_id,order_date,status,total_toman FROM orders WHERE total_toman>(SELECT AVG(total_toman)*1.55 FROM orders) ORDER BY total_toman DESC,id; | 2026-09-05T00:00:00 | true | {
"level": "medium",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 87,
"result_sha256": "04f5230240988a3d3ad8baa078e96ee116e34ee991a04cee1f907b86db8f3a1c",
"result_preview": [
[
184,
18,
"2025-07-27",
"shipped",
79960000
],
[
305,
12,
"2025-05-18",
"s... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0060 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، سفارشهایی رو در بیار که مبلغ فروش آنها از 1.70 برابر میانگین کل بیشتر است. | colloquial | sales-F12 | hard | [
"subquery",
"filtering",
"average"
] | SELECT id,customer_id,order_date,status,total_toman FROM orders WHERE total_toman>(SELECT AVG(total_toman)*1.70 FROM orders) ORDER BY total_toman DESC,id; | 2026-09-05T00:00:00 | true | {
"level": "medium",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": true,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 57,
"result_sha256": "c371fc4c2689ac1665a9239fd54dfb4fdb8a6b8e544dd4765477116aa3caa91d",
"result_preview": [
[
184,
18,
"2025-07-27",
"shipped",
79960000
],
[
305,
12,
"2025-05-18",
"s... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0061 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، 3 آیتم جزئی با بیشترین مجموع مقدار را فقط در سفارشهای وضعیت «paid» پیدا کن. | mixed_digits | sales-F13 | medium | [
"multi_table_join",
"aggregation",
"ordering",
"status_filter"
] | SELECT d.product_name AS detail_label,SUM(d.line_total_toman) AS total_detail_value FROM order_items d JOIN orders f ON f.id=d.order_id WHERE f.status='paid' GROUP BY d.product_name ORDER BY total_detail_value DESC,detail_label LIMIT 3; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 3,
"result_sha256": "af0d713bbe2aa5f86072ab9f2aaa878e7418b5dc15fb7b50c010aa5651f48a39",
"result_preview": [
[
"پلن پایه",
490417000
],
[
"پشتیبانی",
452275000
],
[
"پلن حرفهای",
410952000
]... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0062 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | برای گزارش مدیریتی، در حوزه فروش، ۵ آیتم جزئی با بیشترین مجموع مقدار را فقط در سفارشهای وضعیت «shipped» پیدا کن. | business_chat | sales-F13 | medium | [
"multi_table_join",
"aggregation",
"ordering",
"status_filter"
] | SELECT d.product_name AS detail_label,SUM(d.line_total_toman) AS total_detail_value FROM order_items d JOIN orders f ON f.id=d.order_id WHERE f.status='shipped' GROUP BY d.product_name ORDER BY total_detail_value DESC,detail_label LIMIT 5; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 5,
"result_sha256": "3785415396503753f75573654b50810e1d3a7dab840f1cf96691cbd2dbb4ef20",
"result_preview": [
[
"خدمت سفارشی",
713546000
],
[
"پلن پایه",
618018000
],
[
"پشتیبانی",
593154000
]... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0063 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، ۷ آیتم جزئی با بیشترین مجموع مقدار را فقط در سفارشهای وضعیت «cancelled» پیدا کن. | formal | sales-F13 | medium | [
"multi_table_join",
"aggregation",
"ordering",
"status_filter"
] | SELECT d.product_name AS detail_label,SUM(d.line_total_toman) AS total_detail_value FROM order_items d JOIN orders f ON f.id=d.order_id WHERE f.status='cancelled' GROUP BY d.product_name ORDER BY total_detail_value DESC,detail_label LIMIT 7; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 6,
"result_sha256": "71b9e7749c7d8e973be0fcd956b0fb310d968534692161b90f3a7406cf147753",
"result_preview": [
[
"پلن پایه",
555977000
],
[
"پشتیبانی",
523760000
],
[
"خدمت سفارشی",
516146000
]... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0064 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، ۱۰ آیتم جزئی با بیشترین مجموع مقدار رو فقط در سفارشهای وضعیت «pending» در بیار. | colloquial | sales-F13 | medium | [
"multi_table_join",
"aggregation",
"ordering",
"status_filter"
] | SELECT d.product_name AS detail_label,SUM(d.line_total_toman) AS total_detail_value FROM order_items d JOIN orders f ON f.id=d.order_id WHERE f.status='pending' GROUP BY d.product_name ORDER BY total_detail_value DESC,detail_label LIMIT 10; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": false,
"contains_colloquial_register": true,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 6,
"result_sha256": "97ae8342ca825ee2f556ef3e47040e61f944ed944c201f8482eebe30663e52ff",
"result_preview": [
[
"پلن پایه",
524062000
],
[
"خدمت سفارشی",
466256000
],
[
"دامنه",
423482000
]
... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0065 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، ۴ آیتم جزئی با بیشترین مجموع مقدار را فقط در سفارشهای وضعیت «returned» پیدا کن. | terse | sales-F13 | medium | [
"multi_table_join",
"aggregation",
"ordering",
"status_filter"
] | SELECT d.product_name AS detail_label,SUM(d.line_total_toman) AS total_detail_value FROM order_items d JOIN orders f ON f.id=d.order_id WHERE f.status='returned' GROUP BY d.product_name ORDER BY total_detail_value DESC,detail_label LIMIT 4; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 4,
"result_sha256": "1dcc80537704455bf7b0fe0a6a063d1f4f404a6f9cd6da491fbeb5d29cb29d10",
"result_preview": [
[
"پشتیبانی",
598851000
],
[
"پلن پایه",
509514000
],
[
"افزونه",
432055000
]
]
... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0066 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | برای گزارش مدیریتی، در حوزه فروش، سفارشهایی را بده که مجموع تعداد آیتمهای جزئیاتشان بیشتر از ۴ باشد. | business_chat | sales-F14 | hard | [
"multi_table_join",
"group_by",
"having"
] | SELECT f.id,f.order_date AS fact_date,SUM(d.quantity) AS total_quantity FROM orders f JOIN order_items d ON d.order_id=f.id GROUP BY f.id,f.order_date HAVING SUM(d.quantity)>4 ORDER BY total_quantity DESC,f.id; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 284,
"result_sha256": "3144ec2c5be4a6c15b5e7d9c42d82ace3172f8606aba2858cbf9c02c4aee32ad",
"result_preview": [
[
115,
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23
],
[
125,
"2025-06-06",
22
],
[
218,
"2026-05-29... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0067 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، سفارشهایی را بده که مجموع تعداد آیتمهای جزئیاتشان بیشتر از ۶ باشد. | formal | sales-F14 | hard | [
"multi_table_join",
"group_by",
"having"
] | SELECT f.id,f.order_date AS fact_date,SUM(d.quantity) AS total_quantity FROM orders f JOIN order_items d ON d.order_id=f.id GROUP BY f.id,f.order_date HAVING SUM(d.quantity)>6 ORDER BY total_quantity DESC,f.id; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 213,
"result_sha256": "3419887b291b1b4296ec4b6473ed1081709f30b0b60e209baf7d7ba915ee1b2f",
"result_preview": [
[
115,
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23
],
[
125,
"2025-06-06",
22
],
[
218,
"2026-05-29... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0068 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، سفارشهایی رو بده که مجموع تعداد آیتمهای جزئیاتشان بیشتر از ۸ باشد. | colloquial | sales-F14 | hard | [
"multi_table_join",
"group_by",
"having"
] | SELECT f.id,f.order_date AS fact_date,SUM(d.quantity) AS total_quantity FROM orders f JOIN order_items d ON d.order_id=f.id GROUP BY f.id,f.order_date HAVING SUM(d.quantity)>8 ORDER BY total_quantity DESC,f.id; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": false,
"contains_colloquial_register": true,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 166,
"result_sha256": "26192739a3a7173cbec39f12b4a9a55ff54f7431c2e3f5404235375cb46c4fcc",
"result_preview": [
[
115,
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23
],
[
125,
"2025-06-06",
22
],
[
218,
"2026-05-29... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0069 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، سفارشهایی را بده که مجموع تعداد آیتمهای جزئیاتشان بیشتر از ۱۰ باشد. | terse | sales-F14 | hard | [
"multi_table_join",
"group_by",
"having"
] | SELECT f.id,f.order_date AS fact_date,SUM(d.quantity) AS total_quantity FROM orders f JOIN order_items d ON d.order_id=f.id GROUP BY f.id,f.order_date HAVING SUM(d.quantity)>10 ORDER BY total_quantity DESC,f.id; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": true,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 108,
"result_sha256": "affd3d58001baae73b008962d01a48620339ccad3de3bcc42a153f2974ee10ad",
"result_preview": [
[
115,
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23
],
[
125,
"2025-06-06",
22
],
[
218,
"2026-05-29... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0070 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | sales | فروش | sales | databases/sales.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE regions(id INTEGER PRIMARY KEY,region_name TEXT NOT NULL UNIQUE);
CREATE TABLE customers(id INTEGER PRIMARY KEY,customer_name TEXT NOT NULL,region_id INTEGER NOT NULL REFERENCES regions(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE orders(id... | در حوزه فروش، سفارشهایی را بده که مجموع تعداد آیتمهای جزئیاتشان بیشتر از 12 باشد. | mixed_digits | sales-F14 | hard | [
"multi_table_join",
"group_by",
"having"
] | SELECT f.id,f.order_date AS fact_date,SUM(d.quantity) AS total_quantity FROM orders f JOIN order_items d ON d.order_id=f.id GROUP BY f.id,f.order_date HAVING SUM(d.quantity)>12 ORDER BY total_quantity DESC,f.id; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": "toman"
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 64,
"result_sha256": "e0e662965eae3aed7029011f351b65242394d252296dd999f3ed3bdb099e0e08",
"result_preview": [
[
115,
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23
],
[
125,
"2025-06-06",
22
],
[
218,
"2026-05-29"... | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0101 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | crm | CRM | crm | databases/crm.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE lead_sources(id INTEGER PRIMARY KEY,source_name TEXT NOT NULL UNIQUE);
CREATE TABLE leads(id INTEGER PRIMARY KEY,lead_name TEXT NOT NULL,source_id INTEGER NOT NULL REFERENCES lead_sources(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE activit... | در حوزه CRM، تعداد تعاملهای مربوط به سرنخهای بخش «سرد» را به تفکیک وضعیت حساب کن. | terse | crm-F01 | easy | [
"aggregation",
"group_by",
"join_filter"
] | SELECT f.outcome,COUNT(*) AS fact_count FROM activities f JOIN leads e ON e.id=f.lead_id WHERE e.segment='سرد' GROUP BY f.outcome ORDER BY fact_count DESC,f.outcome; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": null
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 5,
"result_sha256": "c7b23dbaa7bb6406695b39871827f21ed3295d2fc2ef2c3a27295379633e5ca9",
"result_preview": [
[
"qualified",
18
],
[
"won",
16
],
[
"no_answer",
13
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0102 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | crm | CRM | crm | databases/crm.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE lead_sources(id INTEGER PRIMARY KEY,source_name TEXT NOT NULL UNIQUE);
CREATE TABLE leads(id INTEGER PRIMARY KEY,lead_name TEXT NOT NULL,source_id INTEGER NOT NULL REFERENCES lead_sources(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE activit... | در حوزه CRM، تعداد تعاملهای مربوط به سرنخهای بخش «گرم» را به تفکیک وضعیت حساب کن. | mixed_digits | crm-F01 | easy | [
"aggregation",
"group_by",
"join_filter"
] | SELECT f.outcome,COUNT(*) AS fact_count FROM activities f JOIN leads e ON e.id=f.lead_id WHERE e.segment='گرم' GROUP BY f.outcome ORDER BY fact_count DESC,f.outcome; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": false,
"contains_colloquial_register": false,
"currency_unit": null
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 5,
"result_sha256": "489440e14ab37f92add613a26692972c51c920113b2f7913fdd53cfb59a88a37",
"result_preview": [
[
"no_answer",
20
],
[
"follow_up",
19
],
[
"lost",
14
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0103 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | crm | CRM | crm | databases/crm.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE lead_sources(id INTEGER PRIMARY KEY,source_name TEXT NOT NULL UNIQUE);
CREATE TABLE leads(id INTEGER PRIMARY KEY,lead_name TEXT NOT NULL,source_id INTEGER NOT NULL REFERENCES lead_sources(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE activit... | برای گزارش مدیریتی، در حوزه CRM، تعداد تعاملهای مربوط به سرنخهای بخش «داغ» را به تفکیک وضعیت حساب کن. | business_chat | crm-F01 | easy | [
"aggregation",
"group_by",
"join_filter"
] | SELECT f.outcome,COUNT(*) AS fact_count FROM activities f JOIN leads e ON e.id=f.lead_id WHERE e.segment='داغ' GROUP BY f.outcome ORDER BY fact_count DESC,f.outcome; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": null
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 5,
"result_sha256": "ad098ae993276518f65a131e01c88ab134fd1769867d4c1b5cabc971ec3e89de",
"result_preview": [
[
"no_answer",
18
],
[
"follow_up",
16
],
[
"won",
15
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
PBTSQL-0104 | Persian-Business-Text2SQL-Gold-1K | 1.0.0 | train | fa | sqlite | crm | CRM | crm | databases/crm.sqlite | PRAGMA foreign_keys=ON;
CREATE TABLE lead_sources(id INTEGER PRIMARY KEY,source_name TEXT NOT NULL UNIQUE);
CREATE TABLE leads(id INTEGER PRIMARY KEY,lead_name TEXT NOT NULL,source_id INTEGER NOT NULL REFERENCES lead_sources(id),segment TEXT NOT NULL,channel TEXT NOT NULL,created_at TEXT NOT NULL);
CREATE TABLE activit... | در حوزه CRM، تعداد تعاملهای مربوط به سرنخهای بخش «مشتری سابق» را به تفکیک وضعیت حساب کن. | formal | crm-F01 | easy | [
"aggregation",
"group_by",
"join_filter"
] | SELECT f.outcome,COUNT(*) AS fact_count FROM activities f JOIN leads e ON e.id=f.lead_id WHERE e.segment='مشتری سابق' GROUP BY f.outcome ORDER BY fact_count DESC,f.outcome; | 2026-09-05T00:00:00 | true | {
"level": "low",
"notes": "با اتکا به schema، واحد و reference_date قابل حل است؛ نمونه clarification-required در v1.0.0 وجود ندارد."
} | {
"native_authored": true,
"translated_from_other_dataset": false,
"contains_persian_digits": false,
"contains_business_register": true,
"contains_colloquial_register": false,
"currency_unit": null
} | {
"verified": true,
"engine": "sqlite-3.46.1",
"row_count": 5,
"result_sha256": "daf8e6ac30fb16137cd75b593ac88c69ccf1b1d466ae4c82c937965b570cbbcf",
"result_preview": [
[
"follow_up",
21
],
[
"qualified",
17
],
[
"no_answer",
15
]
]
} | {
"source_type": "original_native_synthetic",
"external_row_source": null,
"translation_source": null,
"generation_seed": 14050615
} |
End of preview. Expand in Data Studio
Persian Business Text-to-SQL Gold-1K
1,000 Persian-native, execution-verified business Text-to-SQL examples for fine-tuning and benchmarking.
مجموعهای ۱۰۰۰ نمونهای برای تبدیل درخواستهای فارسی کسبوکار به SQL، همراه با دیتابیسهای SQLite اجرایی، schema کامل، متادیتای سختی/مهارت و ارزیابی مبتنی بر Execution Accuracy.
Motivation
BIRD emphasizes database-grounded Text-to-SQL and execution accuracy; Spider 2.0 pushes toward realistic enterprise database workflows. This release targets a narrower Persian capability: native business Text-to-SQL, not translated QA or generic instruction tuning.
At a glance
| Property | Value |
|---|---|
| Samples | 1,000 |
| Language | Persian / فارسی |
| SQL dialect | SQLite |
| Domains | 10 |
| Train / Validation / Test | 700 / 150 / 150 |
| Databases | 10 executable SQLite DBs |
| Semantic query families | 200 |
| Reference verification | execution + result SHA-256 |
| Exact / normalized question duplicates | 0 / 0 |
| Human reviewed | No |
| License | CC BY 4.0 |
| Reference date | 2026-09-05 |
What “Gold” means
Gold = execution-verified reference SQL. Every reference query is executed against an included SQLite database and re-executed during release validation. It does not mean independently human-reviewed.
Domains
Sales, CRM, order fulfillment, payments, inventory, products, support, HR, SaaS and light accounting — 100 samples each.
Coverage
Filtering, aggregation, GROUP BY, HAVING, date filtering, multi-table joins, top-k, anti-joins, nested/correlated subqueries, conditional aggregation, CASE, CTEs, window functions, ranking, running totals, top-per-group and EXISTS/NOT EXISTS.
Persian questions vary across formal, colloquial, terse, mixed-digit and management-reporting registers. Monetary prompts use toman explicitly.
Split strategy
Query families are disjoint:
- F01–F14 → train (700)
- F15–F17 → validation (150)
- F18–F20 → test (150)
Schemas are shared across splits, so v1.0.0 is not a strict unseen-schema benchmark.
Record fields
id, split, domain, database_file, schema_ddl, question_fa, question_style, query_family_id, difficulty, skills, gold_sql, reference_date, ambiguity, persian_localization, execution, provenance.
Example
{
"id": "PBTSQL-0001",
"domain": "sales",
"question_fa": "در حوزه فروش، تعداد سفارشهای مربوط به مشتریهای بخش «خردهفروشی» رو به تفکیک وضعیت حساب کن.",
"difficulty": "easy",
"skills": [
"aggregation",
"group_by",
"join_filter"
],
"gold_sql": "SELECT f.status,COUNT(*) AS fact_count FROM orders f JOIN customers e ON e.id=f.customer_id WHERE e.segment='خردهفروشی' GROUP BY f.status ORDER BY fact_count DESC,f.status;"
}
Load
from datasets import load_dataset
ds = load_dataset("json", data_files={
"train":"data/train.jsonl",
"validation":"data/validation.jsonl",
"test":"data/test.jsonl"
})
Evaluation
Primary metric: Execution Accuracy.
python scripts/validate_dataset.py
python scripts/evaluate_execution.py predictions.jsonl
Prediction format:
{"id":"PBTSQL-0001","predicted_sql":"SELECT ..."}
Recommended breakdowns: domain, difficulty, SQL skill, Persian register, invalid-SQL rate. Exact string match is diagnostic only.
Quality-control gates
- 1,000/1,000 reference SQL queries execute successfully
- release-wide re-execution before packaging
- 0 exact duplicates
- 0 normalized duplicates
- read-only reference SQL only
- per-record row count + SHA-256
- no real customer/company records
- no direct-translation provenance
- split-disjoint query families
See QUALITY_REPORT.json.
Layout
README.md
LICENSE
QUALITY_REPORT.json
MANIFEST.json
data/{train,validation,test}.jsonl
data/{train,validation,test}.json
data/all.jsonl
databases/*.sqlite
schemas/*.sql
metadata/*.json
docs/*.md
scripts/*.py
Intended use
SFT experiments, Persian Text-to-SQL evaluation, semantic parsing, BI/business assistant prototyping and preparation of a future human-reviewed subset.
Limitations
Synthetic data; SQLite only; 10 schemas; schemas shared across splits; no independent multi-annotator review; no dedicated clarification-required, Solar Hijri, Finglish or typo-robustness track in v1.0.0.
Research references
- BIRD: https://bird-bench.github.io/
- Spider 2.0: https://spider2-sql.github.io/
- Hugging Face Dataset Cards: https://huggingface.co/docs/hub/datasets-cards
- Hugging Face Datasets loading: https://huggingface.co/docs/datasets/loading
A scoped public search on 2026-09-05 did not identify a clearly established Persian-native business Text-to-SQL benchmark with this exact positioning. Treat that as a discovery result, not proof of non-existence.
License
CC BY 4.0
Citation
@dataset{jumplander_persian_business_text2sql_gold_1k_2026,
title={Persian Business Text-to-SQL Gold-1K},
author={JumpLander},
year={2026},
version={1.0.0},
publisher={Hugging Face}
}
Built by JumpLander.
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