advanced_subtype
string
answer_policy
string
difficulty
string
difficulty_detail
string
difficulty_name
string
domain
string
evaluation_scope
string
execution
dict
input_order
string
output_schema
list
protected_fields_omitted
list
question
string
redistribution_status
string
release_id
string
runtime_mode
string
source_benchmark
string
source_database
string
source_database_aliases
list
source_license_summary
string
source_split
string
source_task_id
string
source_url
string
sources
list
streaming_instruction
string
task_id
string
task_origin
string
taxonomy
dict
taxonomy_scheme
string
coupled_high
exact_multiset
D3
hard_advanced
hard
Media, Culture & Social Platforms
final_only
{ "evaluation": "final_materialized_csv_only", "input": "Kafka", "input_topic_contract": "one_single_partition_topic_per_declared_source", "mode": "STREAMING", "output": "Kafka", "output_record_kind": "changelog" }
global_merged_nondecreasing_event_time_stable_ties
[ { "name": "customer_id", "nullable": false, "numeric_mode": "exact", "type": "BIGINT", "value_kind": "number" }, { "name": "first_name", "nullable": false, "numeric_mode": "exact", "type": "STRING", "value_kind": "string" }, { "name": "last_name", "nullable": ...
[ "reference_sql", "gold_csv", "gold_json", "python_oracle", "test_cases", "counterfactuals" ]
Among our top 10 paying customers, can you identify the largest change in payment amounts from one month to the immediately following month? Specifically, please determine for which customer and during which month this maximum month-over-month difference occurred, and provide the difference rounded to two decimal place...
redistributed_with_attribution
streamsqlbench-v1.0.0
STREAMING
Spider2
sqlite-sakila
null
MIT for the official Spider2 repository; external databases retain separate terms
spider2-lite
local197
https://github.com/xlang-ai/Spider2
[ { "columns": [ { "name": "customer_id", "sqlite_type": "INT", "type": "BIGINT" }, { "name": "amount", "sqlite_type": "DECIMAL(5,2)", "type": "DECIMAL(5,2)" }, { "name": "payment_date", "sqlite_type": "TIMESTAMP", ...
All rows from each live source are transmitted in nondecreasing order of that source's declared event-time field or adapter (`payment.payment_date`). The final output is the result requested by the task.
source_spider2_local197
curator
{ "D": "D3", "S": "S4", "T": "T3" }
streamsqlbench_tsd3_v1
null
exact_multiset
D2
medium
medium
Media, Culture & Social Platforms
final_only
{ "evaluation": "final_materialized_csv_only", "input": "Kafka", "input_topic_contract": "one_single_partition_topic_per_declared_source", "mode": "STREAMING", "output": "Kafka", "output_record_kind": "changelog" }
global_merged_nondecreasing_event_time_stable_ties
[ { "name": "store_id", "nullable": false, "numeric_mode": "exact", "type": "BIGINT", "value_kind": "number" }, { "name": "year", "nullable": false, "numeric_mode": "exact", "type": "BIGINT", "value_kind": "number" }, { "name": "month", "nullable": false, "n...
[ "reference_sql", "gold_csv", "gold_json", "python_oracle", "test_cases", "counterfactuals" ]
Can you identify the year and month with the highest rental orders created by the store's staff for each store? Please list the store ID, the year, the month, and the total rentals for those dates.
redistributed_with_attribution
streamsqlbench-v1.0.0
STREAMING
Spider2
sqlite-sakila
null
MIT for the official Spider2 repository; external databases retain separate terms
spider2-lite
local199
https://github.com/xlang-ai/Spider2
[ { "columns": [ { "name": "rental_id", "type": "BIGINT" }, { "name": "rental_date", "type": "STRING" }, { "name": "staff_id", "type": "BIGINT" } ], "format": "jsonl", "name": "rental", "partition_zero_directly_obs...
All rows from each live source are transmitted in nondecreasing order of that source's declared event-time field or adapter (`rental.rental_date`). The final output is the result requested by the task.
source_spider2_local199
curator
{ "D": "D2", "S": "S3", "T": "T2" }
streamsqlbench_tsd3_v1