qid stringlengths 5 5 | task_type stringclasses 1
value | has_intended_resolution bool 1
class | db stringclasses 6
values | question stringlengths 33 189 | gold_ambiguity_points listlengths 1 5 | gold_queries listlengths 1 32 | gold_intended_query_id stringlengths 4 20 |
|---|---|---|---|---|---|---|---|
001-5 | ambig | true | retails | Report the total revenue for each nation in 1995. | [
{
"id": "A",
"phrase": "total revenue",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"before discount (Gross revenue)",
"after discount (Net revenue)"
],
"intended_interpretation_idx": 1
},
{
"id": "B",
"phrase": "total revenue"... | [
{
"id": "GQRY-A.0-B.0-C.0-D.0",
"query": "WITH revenue AS (\nSELECT n.n_nationkey,\nn.n_name,\nCOALESCE(SUM(l.l_extendedprice), 0) AS total_revenue\nFROM lineitem l\nJOIN orders o ON o.o_orderkey = l.l_orderkey\nJOIN customer c ON o.o_custkey = c.c_custkey\nJOIN nation n ON c.c_nationkey = n.n_nationkey\nWH... | GQRY-A.1-B.1-C.0-D.3 |
026-0 | ambig | true | professional_basketball | For each team that Marcus Williams played for, compute his aggregate field goal percentage. | [
{
"id": "A",
"phrase": "Marcus Williams",
"type": "finite",
"ambiguity_type": "semantic_value",
"interpretations": [
"Marcus Williams from University of Connecticut born in 1985",
"Marcus Williams from University of Arizona born in 1986"
],
"intended_interpretation_idx": 0
... | [
{
"id": "GQRY-A.0-B.0-C.0",
"query": "SELECT\nt.tmID,\nt.name,\nCASE\nWHEN SUM(pt.fgAttempted) = 0 THEN 0\nELSE CAST(SUM(pt.fgMade) AS REAL) / SUM(pt.fgAttempted)\nEND as field_goal_percentage\nFROM players_teams pt\nJOIN players p ON pt.playerID = p.playerID\nJOIN teams t ON pt.tmID = t.tmID AND pt.year = ... | GQRY-A.0-B.1-C.0 |
036-0 | ambig | true | github_repos | For each repository with a GPL license, count the number of merged PRs created in the period of 2022 and January 2023. | [
{
"id": "A",
"phrase": "GPL license",
"type": "finite",
"ambiguity_type": "semantic_value",
"interpretations": [
"mainline GPL license (gpl-2.0 or gpl-3.0)",
"all GPL variants including AGPL (agpl-3.0) and LGPL (lgpl-2.1 or lgpl-3.0)"
],
"intended_interpretation_idx": 1
},
... | [
{
"id": "GQRY-A.0-B.0",
"query": "WITH gpl_repos AS (\nSELECT grl.repo_name, grl.license\nFROM GITHUB_REPOS_LICENSES grl\nWHERE grl.license IN ('gpl-2.0', 'gpl-3.0')\n),\nall_events AS (\nSELECT * FROM YEAR_2022\nUNION ALL\nSELECT * FROM MONTH_202301\n),\nmerged_prs AS (\nSELECT\njson_extract(ae.repo, '$.na... | GQRY-A.1-B.0 |
058-2 | ambig | true | financial | Compute the amount of deposits from December 1997 to end of 1998. | [
{
"id": "A",
"phrase": "amount",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"the number of deposit transactions",
"the total monetary value of deposits"
],
"intended_interpretation_idx": 0
},
{
"id": "B",
"phrase": "deposits",... | [
{
"id": "GQRY-A.0-B.0",
"query": "SELECT COUNT(*)\nFROM trans\nWHERE operation = 'VKLAD'\nAND (date >= '1997-12-01' AND date < '1999-01-01');",
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sam... | GQRY-A.0-B.1 |
072-0 | ambig | true | codebase_community | Find posts with many related posts. | [
{
"id": "A",
"phrase": "many",
"type": "infinite",
"ambiguity_type": "semantic_value",
"parameter_name": "count_threshold",
"parameter_dtype": "int",
"parameter_sample_operators": [
">",
">="
],
"parameter_sample_values": [
10
],
"intended_parameter_oper... | [
{
"id": "GQRY-B.0",
"query": "SELECT p.Id, p.Title, COUNT(DISTINCT pl.RelatedPostId) AS RelatedCount\nFROM posts p\nJOIN postLinks pl ON p.Id = pl.PostId\nGROUP BY p.Id, p.Title\nHAVING COUNT(DISTINCT pl.RelatedPostId) > :count_threshold\nORDER BY RelatedCount DESC;",
"parameter_names": [
"count_t... | GQRY-B.2 |
087-0 | ambig | true | student_club | Which events had a low budget remaining or high spending on food or advertisement? | [
{
"id": "A",
"phrase": "low budget remaining",
"type": "infinite",
"ambiguity_type": "semantic_value",
"parameter_name": "budget_remaining_threshold",
"parameter_dtype": "int",
"parameter_sample_operators": [
"<",
"<="
],
"parameter_sample_values": [
20
],
... | [
{
"id": "GQRY-B.0",
"query": "WITH event_budget AS (\nSELECT\nlink_to_event AS event_id,\nSUM(remaining) AS total_remaining,\nSUM(CASE WHEN category = 'Food' THEN spent ELSE 0 END) AS food_spent,\nSUM(CASE WHEN category = 'Advertisement' THEN spent ELSE 0 END) AS adv_spent\nFROM budget\nGROUP BY link_to_eve... | GQRY-B.0 |
037-1 | ambig | true | github_repos | List all repository names with many issues opened in 2022, provide the corresponding issue count and the license for each repository. | [
{
"id": "A",
"phrase": "many",
"type": "infinite",
"ambiguity_type": "semantic_value",
"parameter_name": "issue_count_threshold",
"parameter_dtype": "int",
"parameter_sample_operators": [
">",
">="
],
"parameter_sample_values": [
7
],
"intended_parameter... | [
{
"id": "GQRY-B.0",
"query": "WITH issue_counts AS (\nSELECT\njson_extract(repo, '$.name') AS repo_name,\nCOUNT(DISTINCT json_extract(payload, '$.issue.id')) AS issues_opened\nFROM YEAR_2022\nWHERE type = 'IssuesEvent'\nAND json_extract(payload, '$.action') = 'opened'\nGROUP BY repo_name\nHAVING issues_open... | GQRY-B.0 |
002-4 | ambig | true | retails | Count the number of suppliers that offer both air and rail shipping in America. | [
{
"id": "A",
"phrase": "suppliers that offer both air and rail shipping in America",
"type": "finite",
"ambiguity_type": "syntactic_computation",
"interpretations": [
"suppliers that offer air and rail shipping to customers in America",
"suppliers in America that offer air and rail s... | [
{
"id": "GQRY-A.0-B.0-C.0",
"query": "WITH usa_suppliers_with_air AS (\nSELECT DISTINCT l.l_suppkey\nFROM lineitem l\nJOIN orders o ON l.l_orderkey = o.o_orderkey\nJOIN customer c ON o.o_custkey = c.c_custkey\nJOIN nation n ON c.c_nationkey = n.n_nationkey\nWHERE n.n_name = 'UNITED STATES'\nAND l.l_shipmode... | GQRY-A.0-B.0-C.0 |
048-1 | ambig | true | github_repos | Count the number of repository IDs in YEAR_2023 that have public events and also received a large number of pull requests. | [
{
"id": "A",
"phrase": "public events",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"events with attribute public=1",
"events of type 'PublicEvent'"
],
"intended_interpretation_idx": 1
},
{
"id": "B",
"phrase": "received a larg... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [
"pr_count_threshold"
],
"parameter_values": {
"pr_count_threshold": 12
},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
... | GQRY-A.1-B.0 |
005-0 | ambig | true | retails | Which part has the highest price? | [
{
"id": "A",
"phrase": "highest price",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"highest absolute maximum price",
"highest average price (aggregated over suppliers and orders)"
],
"intended_interpretation_idx": 1
},
{
"id": "B"... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"p_partkey": 27602,
"p_name": "powder tan cornsilk... | GQRY-A.1-B.1 |
066-0 | ambig | true | financial | Show the average age and number of male clients by region, assuming the current date is August 1st, 2025. | [
{
"id": "A",
"phrase": "average age and number of male clients",
"type": "finite",
"ambiguity_type": "syntactic_computation",
"interpretations": [
"average age of all clients and number of male clients",
"average age of male clients and number of male clients"
],
"intended_in... | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"region": "Prague",
"avg_age": 71.431372549,
... | GQRY-A.0 |
096-0 | ambig | true | student_club | List all members from New York who have signed up for events in September or October 1st in 2019 and display their major, phone number and the event name. | [
{
"id": "A",
"phrase": "New York",
"type": "finite",
"ambiguity_type": "semantic_column",
"interpretations": [
"New York City",
"New York County",
"New York State"
],
"intended_interpretation_idx": 0
},
{
"id": "B",
"phrase": "September or October 1st",
... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"first_name": "Luisa",
"last_name": "Guidi",
... | GQRY-A.0-B.0 |
042-0 | ambig | true | github_repos | Count the total number of Wiki pages updated in the last month of 2022 and 2023. | [
{
"id": "A",
"phrase": "Wiki pages updated",
"type": "finite",
"ambiguity_type": "semantic_value",
"interpretations": [
"Wiki pages created",
"Wiki pages edited",
"Wiki pages created or edited"
],
"intended_interpretation_idx": 2
},
{
"id": "B",
"phrase": "l... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"total_wiki_pages_updated": 0
}
],
... | GQRY-A.2-B.1 |
096-4 | ambig | true | student_club | List all members from New York who have signed up for events in September or October 1st in 2019 and display their major, phone number and the event name. | [
{
"id": "A",
"phrase": "New York",
"type": "finite",
"ambiguity_type": "semantic_column",
"interpretations": [
"New York City",
"New York County",
"New York State"
],
"intended_interpretation_idx": 2
},
{
"id": "B",
"phrase": "September or October 1st",
... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"first_name": "Luisa",
"last_name": "Guidi",
... | GQRY-A.2-B.0 |
056-0 | ambig | true | github_repos | Count the number of 2022 public events whose actor is also the actor of more than 5 events in 2022. | [
{
"id": "A",
"phrase": "public events",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"events with attribute public=1",
"events of type 'PublicEvent'"
],
"intended_interpretation_idx": 0
}
] | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"COUNT(*)": 455197
}
],
"num_rows": ... | GQRY-A.0 |
090-1 | ambig | true | student_club | List all events attended by members in Albany, including their name and location. | [
{
"id": "A",
"phrase": "Albany",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"Albany city, Vermont",
"Albany city, New York",
"Albany city, Georgia",
"Albany city, Kentucky",
"Albany city, Ohio",
"Albany city, Indiana",
... | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [],
"num_rows": 0
},
"parquet_base64": "UEFSMRUEFQAVAkwVABUAEgAAABUEFQAV... | GQRY-A.1 |
008-4 | ambig | true | retails | Identify the manufacturer that contributed the highest profit during the last quarter of 1994. Show the manufacturer and the profit. | [
{
"id": "A",
"phrase": "highest profit",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"include returned items",
"exclude returned items"
],
"intended_interpretation_idx": 1
},
{
"id": "B",
"phrase": "during the last quarter of 1... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"p_mfgr": "Manufacturer#3",
"profit": 1098055932.9... | GQRY-A.1-B.3 |
062-1 | ambig | true | financial | For each bank in the database, show the total sum of household or insurance payments in 1997 and 1998, grouped accordingly. | [
{
"id": "A",
"phrase": "grouped accordingly",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"group by bank only",
"group by bank and payment type",
"group by bank and year",
"group by bank, payment type, year"
],
"intended_interp... | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"bank": "AB",
"total_amount": 24060373
},
... | GQRY-A.3 |
070-0 | ambig | true | financial | What is the total number of weekly-fee accounts in districts with many large municipalities? | [
{
"id": "A",
"phrase": "many",
"type": "infinite",
"ambiguity_type": "semantic_value",
"parameter_name": "municipality_threshold",
"parameter_dtype": "int",
"parameter_sample_operators": [
">",
">="
],
"parameter_sample_values": [
8
],
"intended_paramete... | [
{
"id": "GQRY-B.0",
"query": null,
"parameter_names": [
"municipality_threshold"
],
"parameter_values": {
"municipality_threshold": 8
},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
... | GQRY-B.1 |
024-0 | ambig | true | retails | Show large orders placed in February 1996. | [
{
"id": "A",
"phrase": "large orders",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"orders with high total price",
"orders with large number of line items",
"orders with large total quantity of parts"
],
"intended_interpretation_idx"... | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [
"large_threshold"
],
"parameter_values": {
"large_threshold": 250
},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"o_or... | GQRY-A.0 |
042-2 | ambig | true | github_repos | Count the total number of Wiki pages updated in the last month of 2022 and 2023. | [
{
"id": "A",
"phrase": "Wiki pages updated",
"type": "finite",
"ambiguity_type": "semantic_value",
"interpretations": [
"Wiki pages created",
"Wiki pages edited",
"Wiki pages created or edited"
],
"intended_interpretation_idx": 0
},
{
"id": "B",
"phrase": "l... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"total_wiki_pages_updated": 0
}
],
... | GQRY-A.0-B.1 |
064-0 | ambig | true | financial | Find the accounts with high transaction value related to insurance payments and display the corresponding value. | [
{
"id": "A",
"phrase": "high transaction value",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"high single transaction value",
"high total transaction value",
"high average transaction value"
],
"intended_interpretation_idx": 1
},
... | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [
"amount_threshold"
],
"parameter_values": {
"amount_threshold": 5000
},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"a... | GQRY-A.1 |
079-0 | ambig | true | codebase_community | Identify tags used in many posts in early years. | [
{
"id": "A",
"phrase": "many posts",
"type": "infinite",
"ambiguity_type": "semantic_value",
"parameter_name": "count_threshold",
"parameter_dtype": "int",
"parameter_sample_operators": [
">",
">="
],
"parameter_sample_values": [
286
],
"intended_paramet... | [
{
"id": "GQRY",
"query": null,
"parameter_names": [
"date_threshold",
"count_threshold"
],
"parameter_values": {
"date_threshold": "2012-02-29",
"count_threshold": 286
},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
... | GQRY |
064-1 | ambig | true | financial | Find the accounts with high transaction value related to insurance payments and display the corresponding value. | [
{
"id": "A",
"phrase": "high transaction value",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"high single transaction value",
"high total transaction value",
"high average transaction value"
],
"intended_interpretation_idx": 2
},
... | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [
"amount_threshold"
],
"parameter_values": {
"amount_threshold": 5000
},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"a... | GQRY-A.2 |
046-0 | ambig | true | github_repos | In the January 2023 table, find all repo names that were forked or had issues opened and have public events. | [
{
"id": "A",
"phrase": "forked or had issues opened and have public events",
"type": "finite",
"ambiguity_type": "syntactic_computation",
"interpretations": [
"(were forked OR had issues opened) AND (have public events in January 2023)",
"(were forked) OR (had issues opened AND have ... | [
{
"id": "GQRY-A.0-B.0-C.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"repo_name": "unifyai/ivy"
},
{
... | GQRY-A.1-B.1-C.0 |
062-2 | ambig | true | financial | For each bank in the database, show the total sum of household or insurance payments in 1997 and 1998, grouped accordingly. | [
{
"id": "A",
"phrase": "grouped accordingly",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"group by bank only",
"group by bank and payment type",
"group by bank and year",
"group by bank, payment type, year"
],
"intended_interp... | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"bank": "AB",
"total_amount": 24060373
},
... | GQRY-A.1 |
001-1 | ambig | true | retails | Report the total revenue for each nation in 1995. | [
{
"id": "A",
"phrase": "total revenue",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"before discount (Gross revenue)",
"after discount (Net revenue)"
],
"intended_interpretation_idx": 0
},
{
"id": "B",
"phrase": "total revenue"... | [
{
"id": "GQRY-A.0-B.0-C.0-D.0",
"query": "WITH revenue AS (\nSELECT n.n_nationkey,\nn.n_name,\nCOALESCE(SUM(l.l_extendedprice), 0) AS total_revenue\nFROM lineitem l\nJOIN orders o ON o.o_orderkey = l.l_orderkey\nJOIN customer c ON o.o_custkey = c.c_custkey\nJOIN nation n ON c.c_nationkey = n.n_nationkey\nWH... | GQRY-A.0-B.0-C.0-D.0 |
032-0 | ambig | true | professional_basketball | List tall players that have played for NBA teams from Los Angeles. | [
{
"id": "A",
"phrase": "tall players",
"type": "infinite",
"ambiguity_type": "semantic_value",
"parameter_name": "height_threshold",
"parameter_dtype": "int",
"parameter_sample_operators": [
">",
">="
],
"parameter_sample_values": [
84
],
"intended_param... | [
{
"id": "GQRY-B.0",
"query": null,
"parameter_names": [
"height_threshold"
],
"parameter_values": {
"height_threshold": 84
},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"pla... | GQRY-B.1 |
064-2 | ambig | true | financial | Find the accounts with high transaction value related to insurance payments and display the corresponding value. | [
{
"id": "A",
"phrase": "high transaction value",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"high single transaction value",
"high total transaction value",
"high average transaction value"
],
"intended_interpretation_idx": 0
},
... | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [
"amount_threshold"
],
"parameter_values": {
"amount_threshold": 5000
},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"a... | GQRY-A.0 |
093-4 | ambig | true | student_club | Show the number of members for each region in the Morgan County . | [
{
"id": "A",
"phrase": "region",
"type": "finite",
"ambiguity_type": "semantic_column",
"interpretations": [
"zip code",
"city"
],
"intended_interpretation_idx": 1
},
{
"id": "B",
"phrase": "Morgan County",
"type": "finite",
"ambiguity_type": "semantic_val... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"zip_code": 25411,
"member_count": 0
}... | GQRY-A.1-B.9 |
009-0 | ambig | true | retails | List the customer who made the highest number of purchases using rail shipping. | [
{
"id": "A",
"phrase": "number of purchases using rail shipping",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"number of orders containing at least one line item shipped by rail",
"number of line items shipped by rail",
"total quantity shipp... | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"c_custkey": 63035,
"c_name": "Customer#000063035",
... | GQRY-A.1 |
097-4 | ambig | true | student_club | Find the total funds allocated for food and advertisement for all events attended by members in New York. | [
{
"id": "A",
"phrase": "total funds allocated for food and advertisement",
"type": "finite",
"ambiguity_type": "syntactic_computation",
"interpretations": [
"total funds for food and advertisement (single number)",
"total funds for food and total funds for advertisement (two separate... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"total_funds": 1795
}
],
"num_ro... | GQRY-A.1-B.0 |
084-0 | ambig | true | codebase_community | List the posts with negative comments authored by MYaseen208. | [
{
"id": "A",
"phrase": "authored by MYaseen208",
"type": "finite",
"ambiguity_type": "syntactic_table",
"interpretations": [
"comments authored by MYaseen208",
"posts authored by MYaseen208"
],
"intended_interpretation_idx": 0
}
] | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"Id": 8787,
"Title": "Generalized linear latent and mi... | GQRY-A.0 |
026-4 | ambig | true | professional_basketball | For each team that Marcus Williams played for, compute his aggregate field goal percentage. | [
{
"id": "A",
"phrase": "Marcus Williams",
"type": "finite",
"ambiguity_type": "semantic_value",
"interpretations": [
"Marcus Williams from University of Connecticut born in 1985",
"Marcus Williams from University of Arizona born in 1986"
],
"intended_interpretation_idx": 1
... | [
{
"id": "GQRY-A.0-B.0-C.0",
"query": "SELECT\nt.tmID,\nt.name,\nCASE\nWHEN SUM(pt.fgAttempted) = 0 THEN 0\nELSE CAST(SUM(pt.fgMade) AS REAL) / SUM(pt.fgAttempted)\nEND as field_goal_percentage\nFROM players_teams pt\nJOIN players p ON pt.playerID = p.playerID\nJOIN teams t ON pt.tmID = t.tmID AND pt.year = ... | GQRY-A.1-B.0-C.1 |
044-1 | ambig | true | github_repos | Find the most active organization in 2023. | [
{
"id": "A",
"phrase": "most active organization",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"organization with the highest total number of events",
"organization with the highest number of repositories that generated events",
"organizatio... | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"org_id": 8158177,
"event_count": 42493
}
... | GQRY-A.0 |
076-3 | ambig | true | codebase_community | How many users have received mostly positive scores for posts they contributed? | [
{
"id": "A",
"phrase": "mostly",
"type": "infinite",
"ambiguity_type": "semantic_value",
"parameter_name": "percentage_threshold",
"parameter_dtype": "float",
"parameter_sample_operators": [
">",
">="
],
"parameter_sample_values": [
0.8
],
"intended_para... | [
{
"id": "GQRY-B.0-C.0",
"query": null,
"parameter_names": [
"percentage_threshold"
],
"parameter_values": {
"percentage_threshold": 0.8
},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
... | GQRY-B.1-C.0 |
071-0 | ambig | true | financial | Show the district name and average salary for each district with the lowest number of urban residents and entrepreneurs. | [
{
"id": "A",
"phrase": "each district with the lowest number of urban residents and entrepreneurs",
"type": "finite",
"ambiguity_type": "syntactic_computation",
"interpretations": [
"(each district with the lowest number of urban residents) and (each district with the lowest number of entr... | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"district_name": "Rokycany",
"average_salary": 8843,
... | GQRY-A.0 |
001-6 | ambig | true | retails | Report the total revenue for each nation in 1995. | [
{
"id": "A",
"phrase": "total revenue",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"before discount (Gross revenue)",
"after discount (Net revenue)"
],
"intended_interpretation_idx": 0
},
{
"id": "B",
"phrase": "total revenue"... | [
{
"id": "GQRY-A.0-B.0-C.0-D.0",
"query": "WITH revenue AS (\nSELECT n.n_nationkey,\nn.n_name,\nCOALESCE(SUM(l.l_extendedprice), 0) AS total_revenue\nFROM lineitem l\nJOIN orders o ON o.o_orderkey = l.l_orderkey\nJOIN customer c ON o.o_custkey = c.c_custkey\nJOIN nation n ON c.c_nationkey = n.n_nationkey\nWH... | GQRY-A.0-B.0-C.1-D.0 |
027-0 | ambig | true | professional_basketball | List all teams with low points allowed from the Western conference that have made the playoffs. | [
{
"id": "A",
"phrase": "low points allowed",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"low total points allowed",
"low points allowed per season",
"low points allowed per game"
],
"intended_interpretation_idx": 2
},
{
"id"... | [
{
"id": "GQRY-A.0-C.0",
"query": "SELECT t1.tmID, t1.name, SUM(t1.d_pts) AS total_points_allowed\nFROM teams t1\nWHERE t1.tmID IN (\nSELECT DISTINCT tmID\nFROM teams\nWHERE confID = 'WC' AND playoff IS NOT NULL\n)\nGROUP BY t1.tmID, t1.name\nHAVING SUM(t1.d_pts) < :points_allowed_threshold\nORDER BY SUM(t1.... | GQRY-A.2-C.0 |
082-0 | ambig | true | codebase_community | For each user in Portland, show the number of posts they have created. | [
{
"id": "A",
"phrase": "Portland",
"type": "finite",
"ambiguity_type": "semantic_value",
"interpretations": [
"Portland, Oregon",
"Portland, Maine"
],
"intended_interpretation_idx": 1
}
] | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"UserId": 38,
"DisplayName": "EAMann",
"... | GQRY-A.1 |
092-2 | ambig | true | student_club | Find the total funds allocated for speaker gifts and t-shirts for each event attended by members in Georgetown in South Carolina. | [
{
"id": "A",
"phrase": "total funds allocated for speaker gifts and t-shirts",
"type": "finite",
"ambiguity_type": "syntactic_computation",
"interpretations": [
"total funds for speaker gifts and t-shirts (single number)",
"total funds for speaker gifts and total funds for t-shirts (... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"event_id": "recEVTik3MlqbvLFi",
"event_name": "Oc... | GQRY-A.1-B.1 |
072-1 | ambig | true | codebase_community | Find posts with many related posts. | [
{
"id": "A",
"phrase": "many",
"type": "infinite",
"ambiguity_type": "semantic_value",
"parameter_name": "count_threshold",
"parameter_dtype": "int",
"parameter_sample_operators": [
">",
">="
],
"parameter_sample_values": [
10
],
"intended_parameter_oper... | [
{
"id": "GQRY-B.0",
"query": "SELECT p.Id, p.Title, COUNT(DISTINCT pl.RelatedPostId) AS RelatedCount\nFROM posts p\nJOIN postLinks pl ON p.Id = pl.PostId\nGROUP BY p.Id, p.Title\nHAVING COUNT(DISTINCT pl.RelatedPostId) > :count_threshold\nORDER BY RelatedCount DESC;",
"parameter_names": [
"count_t... | GQRY-B.0 |
099-5 | ambig | true | student_club | For each event label, show the total amount spent by events with food and gifts. Return the result in (label, total_amount) format. | [
{
"id": "A",
"phrase": "event label",
"type": "finite",
"ambiguity_type": "semantic_column",
"interpretations": [
"event type (event.type)",
"event status (event.status)"
],
"intended_interpretation_idx": 0
},
{
"id": "B",
"phrase": "total amount spent",
"type... | [
{
"id": "GQRY-A.0-B.0-C.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"event_status": "Closed",
"total_spent": 1562.... | GQRY-A.0-B.1-C.1 |
031-0 | ambig | true | professional_basketball | Count the number of people that have coached for Atlanta. | [
{
"id": "A",
"phrase": "Atlanta",
"type": "finite",
"ambiguity_type": "semantic_value",
"interpretations": [
"Atlanta Hawks (tmID = 'ATL')",
"Atlanta Crackers (tmID = 'ATC')"
],
"intended_interpretation_idx": 0
}
] | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"COUNT(DISTINCT coachID)": 12
}
],
"... | GQRY-A.0 |
013-1 | ambig | true | retails | Show the total quantity and total final charge of all items shipped by mail or with discount greater than 5% and returned. | [
{
"id": "A",
"phrase": "items shipped by mail or with discount greater than 5% and returned",
"type": "finite",
"ambiguity_type": "syntactic_computation",
"interpretations": [
"items (shipped by mail) OR (with discount greater than 5% AND returned).",
"items (shipped by mail OR with ... | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"total_quantity": 22960669,
"total_charge": 3368181931... | GQRY-A.0 |
042-1 | ambig | true | github_repos | Count the total number of Wiki pages updated in the last month of 2022 and 2023. | [
{
"id": "A",
"phrase": "Wiki pages updated",
"type": "finite",
"ambiguity_type": "semantic_value",
"interpretations": [
"Wiki pages created",
"Wiki pages edited",
"Wiki pages created or edited"
],
"intended_interpretation_idx": 2
},
{
"id": "B",
"phrase": "l... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"total_wiki_pages_updated": 0
}
],
... | GQRY-A.2-B.0 |
047-0 | ambig | true | github_repos | Count the number of forks in public repositories in March. | [
{
"id": "A",
"phrase": "March",
"type": "finite",
"ambiguity_type": "semantic_table",
"interpretations": [
"March 2022",
"March 2023",
"March in both 2022 and 2023"
],
"intended_interpretation_idx": 2
}
] | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"COUNT(*)": 63
}
],
"num_rows": 1
... | GQRY-A.2 |
002-5 | ambig | true | retails | Count the number of suppliers that offer both air and rail shipping in America. | [
{
"id": "A",
"phrase": "suppliers that offer both air and rail shipping in America",
"type": "finite",
"ambiguity_type": "syntactic_computation",
"interpretations": [
"suppliers that offer air and rail shipping to customers in America",
"suppliers in America that offer air and rail s... | [
{
"id": "GQRY-A.0-B.0-C.0",
"query": "WITH usa_suppliers_with_air AS (\nSELECT DISTINCT l.l_suppkey\nFROM lineitem l\nJOIN orders o ON l.l_orderkey = o.o_orderkey\nJOIN customer c ON o.o_custkey = c.c_custkey\nJOIN nation n ON c.c_nationkey = n.n_nationkey\nWHERE n.n_name = 'UNITED STATES'\nAND l.l_shipmode... | GQRY-A.0-B.1-C.0 |
058-4 | ambig | true | financial | Compute the amount of deposits from December 1997 to end of 1998. | [
{
"id": "A",
"phrase": "amount",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"the number of deposit transactions",
"the total monetary value of deposits"
],
"intended_interpretation_idx": 0
},
{
"id": "B",
"phrase": "deposits",... | [
{
"id": "GQRY-A.0-B.0",
"query": "SELECT COUNT(*)\nFROM trans\nWHERE operation = 'VKLAD'\nAND (date >= '1997-12-01' AND date < '1999-01-01');",
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sam... | GQRY-A.0-B.2 |
044-0 | ambig | true | github_repos | Find the most active organization in 2023. | [
{
"id": "A",
"phrase": "most active organization",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"organization with the highest total number of events",
"organization with the highest number of repositories that generated events",
"organizatio... | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"org_id": 8158177,
"event_count": 42493
}
... | GQRY-A.1 |
082-1 | ambig | true | codebase_community | For each user in Portland, show the number of posts they have created. | [
{
"id": "A",
"phrase": "Portland",
"type": "finite",
"ambiguity_type": "semantic_value",
"interpretations": [
"Portland, Oregon",
"Portland, Maine"
],
"intended_interpretation_idx": 0
}
] | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"UserId": 38,
"DisplayName": "EAMann",
"... | GQRY-A.0 |
008-1 | ambig | true | retails | Identify the manufacturer that contributed the highest profit during the last quarter of 1994. Show the manufacturer and the profit. | [
{
"id": "A",
"phrase": "highest profit",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"include returned items",
"exclude returned items"
],
"intended_interpretation_idx": 0
},
{
"id": "B",
"phrase": "during the last quarter of 1... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"p_mfgr": "Manufacturer#3",
"profit": 1098055932.9... | GQRY-A.0-B.0 |
030-3 | ambig | true | professional_basketball | Compute the total post-season offensive rebounds and games played in their career for each player born in Oklahoma. | [
{
"id": "A",
"phrase": "total post-season offensive rebounds and games played",
"type": "finite",
"ambiguity_type": "syntactic_column",
"interpretations": [
"total post-season offensive rebounds and post-season games played",
"total post-season offensive rebounds and all games played... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"playerID": "beaslch01",
"firstName": "Charles",
... | GQRY-A.0-B.1 |
058-3 | ambig | true | financial | Compute the amount of deposits from December 1997 to end of 1998. | [
{
"id": "A",
"phrase": "amount",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"the number of deposit transactions",
"the total monetary value of deposits"
],
"intended_interpretation_idx": 1
},
{
"id": "B",
"phrase": "deposits",... | [
{
"id": "GQRY-A.0-B.0",
"query": "SELECT COUNT(*)\nFROM trans\nWHERE operation = 'VKLAD'\nAND (date >= '1997-12-01' AND date < '1999-01-01');",
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sam... | GQRY-A.1-B.0 |
029-4 | ambig | true | professional_basketball | What is Charles Smith's best true shooting percentage in a season in his career? | [
{
"id": "A",
"phrase": "Charles Smith",
"type": "finite",
"ambiguity_type": "semantic_value",
"interpretations": [
"Charles Smith from University of Pittsburgh born on July 16, 1965",
"Charles Smith from Georgetown University born on November 29, 1967",
"Charles Smith from Marq... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"year": 1989,
"true_shooting_percentage": 0.588896... | GQRY-A.0-B.2 |
060-5 | ambig | true | financial | Count the number of young clients with significant loans and large transactions for each area. | [
{
"id": "A",
"phrase": "Count the number of young clients with significant loans and large transactions",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"count clients with either significant loans or large transactions ('and' means UNION)",
"count c... | [
{
"id": "GQRY-A.0-E.0",
"query": null,
"parameter_names": [
"loan_amount_threshold",
"birth_date_threshold",
"transaction_amount_threshold",
"birth_date_threshold"
],
"parameter_values": {
"loan_amount_threshold": 12000,
"birth_date_threshold": "1960-01-01",
... | GQRY-A.1-E.0 |
039-0 | ambig | true | github_repos | Show the top 20 user names that contribute most events in January 2023 and 2022. | [
{
"id": "A",
"phrase": "January 2023 and 2022",
"type": "finite",
"ambiguity_type": "syntactic_table",
"interpretations": [
"January 2023 and January 2022",
"January 2023 and the entire 2022"
],
"intended_interpretation_idx": 0
}
] | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"user": "LombiqBot",
"event_count": 23522
... | GQRY-A.0 |
018-0 | ambig | true | retails | Count the number of customers that have used air shipping. | [
{
"id": "A",
"phrase": "air shipping",
"type": "finite",
"ambiguity_type": "semantic_value",
"interpretations": [
"ship mode is AIR",
"ship mode is AIR or REG AIR"
],
"intended_interpretation_idx": 1
}
] | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"COUNT(DISTINCT c.c_custkey)": 88988
}
],
... | GQRY-A.1 |
097-1 | ambig | true | student_club | Find the total funds allocated for food and advertisement for all events attended by members in New York. | [
{
"id": "A",
"phrase": "total funds allocated for food and advertisement",
"type": "finite",
"ambiguity_type": "syntactic_computation",
"interpretations": [
"total funds for food and advertisement (single number)",
"total funds for food and total funds for advertisement (two separate... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"total_funds": 1795
}
],
"num_ro... | GQRY-A.1-B.1 |
069-0 | ambig | true | financial | For each account frequency category, show the most recent activity date. | [
{
"id": "A",
"phrase": "activity date",
"type": "finite",
"ambiguity_type": "semantic_table",
"interpretations": [
"account creation date",
"card issued date",
"loan date",
"transaction date",
"any of account, loan, card, or transaction dates"
],
"intended_i... | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"frequency": "POPLATEK MESICNE",
"most_recent_status_u... | GQRY-A.1 |
002-0 | ambig | true | retails | Count the number of suppliers that offer both air and rail shipping in America. | [
{
"id": "A",
"phrase": "suppliers that offer both air and rail shipping in America",
"type": "finite",
"ambiguity_type": "syntactic_computation",
"interpretations": [
"suppliers that offer air and rail shipping to customers in America",
"suppliers in America that offer air and rail s... | [
{
"id": "GQRY-A.0-B.0-C.0",
"query": "WITH usa_suppliers_with_air AS (\nSELECT DISTINCT l.l_suppkey\nFROM lineitem l\nJOIN orders o ON l.l_orderkey = o.o_orderkey\nJOIN customer c ON o.o_custkey = c.c_custkey\nJOIN nation n ON c.c_nationkey = n.n_nationkey\nWHERE n.n_name = 'UNITED STATES'\nAND l.l_shipmode... | GQRY-A.0-B.0-C.1 |
030-2 | ambig | true | professional_basketball | Compute the total post-season offensive rebounds and games played in their career for each player born in Oklahoma. | [
{
"id": "A",
"phrase": "total post-season offensive rebounds and games played",
"type": "finite",
"ambiguity_type": "syntactic_column",
"interpretations": [
"total post-season offensive rebounds and post-season games played",
"total post-season offensive rebounds and all games played... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"playerID": "beaslch01",
"firstName": "Charles",
... | GQRY-A.1-B.0 |
045-2 | ambig | true | github_repos | What is the highest number of issues opened by a single repository (identified by repo ID) in Q3? Use the YEAR_* tables. | [
{
"id": "A",
"phrase": "issues opened",
"type": "finite",
"ambiguity_type": "semantic_value",
"interpretations": [
"issues created",
"issues created or reopened"
],
"intended_interpretation_idx": 0
},
{
"id": "B",
"phrase": "Q3",
"type": "finite",
"ambigui... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"MAX(issues_opened)": 67
}
],
"n... | GQRY-A.0-B.1 |
035-1 | ambig | true | professional_basketball | Count the number of people who played or coached in the NBA finals in the 1990s. | [
{
"id": "A",
"phrase": "played or coached in the NBA finals in the 1990s",
"type": "finite",
"ambiguity_type": "syntactic_computation",
"interpretations": [
"(played in the 1990s) or (coached in the NBA finals in the 1990s)",
"(played or coached) in the NBA finals in the 1990s."
... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"COUNT(DISTINCT personID)": 1027
}
],
... | GQRY-A.1-B.1 |
096-1 | ambig | true | student_club | List all members from New York who have signed up for events in September or October 1st in 2019 and display their major, phone number and the event name. | [
{
"id": "A",
"phrase": "New York",
"type": "finite",
"ambiguity_type": "semantic_column",
"interpretations": [
"New York City",
"New York County",
"New York State"
],
"intended_interpretation_idx": 2
},
{
"id": "B",
"phrase": "September or October 1st",
... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"first_name": "Luisa",
"last_name": "Guidi",
... | GQRY-A.2-B.1 |
012-0 | ambig | true | retails | List all suppliers with a high balance. | [
{
"id": "A",
"phrase": "high balance",
"type": "infinite",
"ambiguity_type": "semantic_value",
"parameter_name": "balance_threshold",
"parameter_dtype": "int",
"parameter_sample_operators": [
">",
">="
],
"parameter_sample_values": [
8500,
9000,
9500... | [
{
"id": "GQRY",
"query": null,
"parameter_names": [
"balance_threshold"
],
"parameter_values": {
"balance_threshold": 8500
},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"s_s... | GQRY |
049-1 | ambig | true | github_repos | List the active PR contributors in 2022. | [
{
"id": "A",
"phrase": "active",
"type": "infinite",
"ambiguity_type": "semantic_value",
"parameter_name": "pr_count_threshold",
"parameter_dtype": "int",
"parameter_sample_operators": [
">",
">="
],
"parameter_sample_values": [
100
],
"intended_paramete... | [
{
"id": "GQRY-B.0",
"query": null,
"parameter_names": [
"pr_count_threshold"
],
"parameter_values": {
"pr_count_threshold": 100
},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
... | GQRY-B.0 |
031-1 | ambig | true | professional_basketball | Count the number of people that have coached for Atlanta. | [
{
"id": "A",
"phrase": "Atlanta",
"type": "finite",
"ambiguity_type": "semantic_value",
"interpretations": [
"Atlanta Hawks (tmID = 'ATL')",
"Atlanta Crackers (tmID = 'ATC')"
],
"intended_interpretation_idx": 1
}
] | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"COUNT(DISTINCT coachID)": 12
}
],
"... | GQRY-A.1 |
007-0 | ambig | true | retails | Count total number of distinct parts shipped in Q4 1996 and 1997 from orders with high order priority. | [
{
"id": "A",
"phrase": "Count total number of distinct parts shipped in Q4 1996 and 1997",
"type": "finite",
"ambiguity_type": "syntactic_computation",
"interpretations": [
"count all distinct part in the specified period",
"count total parts in Q4 1996 and count total parts in Q4 19... | [
{
"id": "GQRY-A.0-B.0-C.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"total_distinct_parts": 120499
}
],
... | GQRY-A.0-B.1-C.0 |
048-0 | ambig | true | github_repos | Count the number of repository IDs in YEAR_2023 that have public events and also received a large number of pull requests. | [
{
"id": "A",
"phrase": "public events",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"events with attribute public=1",
"events of type 'PublicEvent'"
],
"intended_interpretation_idx": 1
},
{
"id": "B",
"phrase": "received a larg... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [
"pr_count_threshold"
],
"parameter_values": {
"pr_count_threshold": 12
},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
... | GQRY-A.1-B.1 |
053-0 | ambig | true | github_repos | List the names of all repositories that contain large Python files or Java files. | [
{
"id": "A",
"phrase": "large",
"type": "infinite",
"ambiguity_type": "semantic_value",
"parameter_name": "file_byte_threshold",
"parameter_dtype": "int",
"parameter_sample_operators": [
">",
">="
],
"parameter_sample_values": [
10240
],
"intended_parame... | [
{
"id": "GQRY-B.0",
"query": null,
"parameter_names": [
"file_byte_threshold"
],
"parameter_values": {
"file_byte_threshold": 10240
},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
... | GQRY-B.0 |
016-2 | ambig | true | retails | Show the number of suppliers and customers from America. | [
{
"id": "A",
"phrase": "suppliers and customers from America",
"type": "finite",
"ambiguity_type": "syntactic_computation",
"interpretations": [
"suppliers AND (customers from America)",
"(suppliers from America) AND (customers from America)"
],
"intended_interpretation_idx":... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"supplier_count": 10000,
"customer_count": 6100
... | GQRY-A.1-B.1 |
052-1 | ambig | true | github_repos | List all repositories in YEAR_2023, and for each, return its name and the source (identified by name) that contribute most events to it. | [
{
"id": "A",
"phrase": "source",
"type": "finite",
"ambiguity_type": "semantic_column",
"interpretations": [
"user",
"organization"
],
"intended_interpretation_idx": 0
}
] | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"repo_name": "0xSpaceShard/starknet-devnet",
"source":... | GQRY-A.0 |
055-2 | ambig | true | github_repos | Find emails of all contributors in the sample commits. | [
{
"id": "A",
"phrase": "contributors",
"type": "finite",
"ambiguity_type": "semantic_column",
"interpretations": [
"commit author",
"committer",
"both commit author and committer"
],
"intended_interpretation_idx": 1
}
] | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"email": "4a57785b02e7b752fc2eb7d1c97db94302a41bf7@users.noreply.git... | GQRY-A.1 |
006-0 | ambig | true | retails | Count number of suppliers with negative balance or located in Africa and do not supply Brand#32. | [
{
"id": "A",
"phrase": "with negative balance or located in Africa and do not supply Brand#32",
"type": "finite",
"ambiguity_type": "syntactic_computation",
"interpretations": [
"suppliers (with negative balance) OR (located in Africa AND do not supply Brand#32)",
"suppliers (with ne... | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"COUNT(DISTINCT s.s_suppkey)": 998
}
],
... | GQRY-A.1 |
093-1 | ambig | true | student_club | Show the number of members for each region in the Morgan County . | [
{
"id": "A",
"phrase": "region",
"type": "finite",
"ambiguity_type": "semantic_column",
"interpretations": [
"zip code",
"city"
],
"intended_interpretation_idx": 1
},
{
"id": "B",
"phrase": "Morgan County",
"type": "finite",
"ambiguity_type": "semantic_val... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"zip_code": 25411,
"member_count": 0
}... | GQRY-A.1-B.1 |
023-1 | ambig | true | retails | For each supplier with ID from 1 to 100, determine the total amount owed to them. | [
{
"id": "A",
"phrase": "total amount owed",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"balance in the supplier's account",
"value of open line items",
"value of line items in unfinished orders"
],
"intended_interpretation_idx": 2
... | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"s_suppkey": 1,
"s_name": "Supplier#000000001",
... | GQRY-A.2 |
029-3 | ambig | true | professional_basketball | What is Charles Smith's best true shooting percentage in a season in his career? | [
{
"id": "A",
"phrase": "Charles Smith",
"type": "finite",
"ambiguity_type": "semantic_value",
"interpretations": [
"Charles Smith from University of Pittsburgh born on July 16, 1965",
"Charles Smith from Georgetown University born on November 29, 1967",
"Charles Smith from Marq... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"year": 1989,
"true_shooting_percentage": 0.588896... | GQRY-A.1-B.0 |
086-1 | ambig | true | codebase_community | Which post received the most responses? | [
{
"id": "A",
"phrase": "responses",
"type": "finite",
"ambiguity_type": "semantic_column",
"interpretations": [
"answers",
"comments",
"both answers and comments"
],
"intended_interpretation_idx": 2
}
] | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"post_id": 726,
"post_title": "Famous statistician quo... | GQRY-A.2 |
023-2 | ambig | true | retails | For each supplier with ID from 1 to 100, determine the total amount owed to them. | [
{
"id": "A",
"phrase": "total amount owed",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"balance in the supplier's account",
"value of open line items",
"value of line items in unfinished orders"
],
"intended_interpretation_idx": 0
... | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"s_suppkey": 1,
"s_name": "Supplier#000000001",
... | GQRY-A.0 |
065-2 | ambig | true | financial | List the districts with low unemployment in 1995 - 1996. | [
{
"id": "A",
"phrase": "low unemployment",
"type": "infinite",
"ambiguity_type": "semantic_value",
"parameter_name": "unemployment_rate_threshold",
"parameter_dtype": "float",
"parameter_sample_operators": [
"<",
"<="
],
"parameter_sample_values": [
1.7000000000... | [
{
"id": "GQRY-B.0",
"query": null,
"parameter_names": [
"unemployment_rate_threshold"
],
"parameter_values": {
"unemployment_rate_threshold": 1.7000000000000002
},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_dat... | GQRY-B.1 |
035-2 | ambig | true | professional_basketball | Count the number of people who played or coached in the NBA finals in the 1990s. | [
{
"id": "A",
"phrase": "played or coached in the NBA finals in the 1990s",
"type": "finite",
"ambiguity_type": "syntactic_computation",
"interpretations": [
"(played in the 1990s) or (coached in the NBA finals in the 1990s)",
"(played or coached) in the NBA finals in the 1990s."
... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"COUNT(DISTINCT personID)": 1027
}
],
... | GQRY-A.0-B.0 |
035-3 | ambig | true | professional_basketball | Count the number of people who played or coached in the NBA finals in the 1990s. | [
{
"id": "A",
"phrase": "played or coached in the NBA finals in the 1990s",
"type": "finite",
"ambiguity_type": "syntactic_computation",
"interpretations": [
"(played in the 1990s) or (coached in the NBA finals in the 1990s)",
"(played or coached) in the NBA finals in the 1990s."
... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"COUNT(DISTINCT personID)": 1027
}
],
... | GQRY-A.0-B.1 |
075-2 | ambig | true | codebase_community | List all users in Tokyo and show total views for each of them. | [
{
"id": "A",
"phrase": "total views",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"total profile views",
"total views for authored posts",
"total views for authored or edited posts"
],
"intended_interpretation_idx": 2
}
] | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"UserId": 83,
"DisplayName": "c4il",
"To... | GQRY-A.2 |
088-2 | ambig | true | student_club | For each region, report the total club funding received by members. | [
{
"id": "A",
"phrase": "region",
"type": "finite",
"ambiguity_type": "semantic_column",
"interpretations": [
"zip code",
"city",
"county",
"state"
],
"intended_interpretation_idx": 0
}
] | [
{
"id": "GQRY-A.0",
"query": "SELECT z.zip_code, COALESCE(SUM(i.amount), 0) AS total_income\nFROM zip_code z\nLEFT JOIN member m ON m.zip = z.zip_code\nLEFT JOIN income i ON i.link_to_member = m.member_id\nGROUP BY z.zip_code\nORDER BY z.zip_code;",
"parameter_names": [],
"parameter_values": {},
... | GQRY-A.0 |
007-4 | ambig | true | retails | Count total number of distinct parts shipped in Q4 1996 and 1997 from orders with high order priority. | [
{
"id": "A",
"phrase": "Count total number of distinct parts shipped in Q4 1996 and 1997",
"type": "finite",
"ambiguity_type": "syntactic_computation",
"interpretations": [
"count all distinct part in the specified period",
"count total parts in Q4 1996 and count total parts in Q4 19... | [
{
"id": "GQRY-A.0-B.0-C.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"total_distinct_parts": 120499
}
],
... | GQRY-A.1-B.0-C.0 |
020-2 | ambig | true | retails | List large parts that haven't been shipped to Middle East countries. Only includes parts with ID <= 1000. | [
{
"id": "A",
"phrase": "large parts",
"type": "finite",
"ambiguity_type": "semantic_column",
"interpretations": [
"p_size is high",
"p_type starts with 'LARGE'"
],
"intended_interpretation_idx": 0
},
{
"id": "B",
"phrase": "large parts",
"type": "infinite",
... | [
{
"id": "GQRY-A.0-C.0",
"query": null,
"parameter_names": [
"size_threshold"
],
"parameter_values": {
"size_threshold": 25
},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"p_p... | GQRY-A.0-C.1 |
075-0 | ambig | true | codebase_community | List all users in Tokyo and show total views for each of them. | [
{
"id": "A",
"phrase": "total views",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"total profile views",
"total views for authored posts",
"total views for authored or edited posts"
],
"intended_interpretation_idx": 0
}
] | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"UserId": 83,
"DisplayName": "c4il",
"To... | GQRY-A.0 |
010-1 | ambig | true | retails | Find the regions associated with the highest-value order in the car industry. | [
{
"id": "A",
"phrase": "regions",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"customer regions",
"supplier regions"
],
"intended_interpretation_idx": 1
}
] | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"r_regionkey": 3,
"r_name": "EUROPE"
}
... | GQRY-A.1 |
060-3 | ambig | true | financial | Count the number of young clients with significant loans and large transactions for each area. | [
{
"id": "A",
"phrase": "Count the number of young clients with significant loans and large transactions",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"count clients with either significant loans or large transactions ('and' means UNION)",
"count c... | [
{
"id": "GQRY-A.0-E.0",
"query": null,
"parameter_names": [
"loan_amount_threshold",
"birth_date_threshold",
"transaction_amount_threshold",
"birth_date_threshold"
],
"parameter_values": {
"loan_amount_threshold": 12000,
"birth_date_threshold": "1960-01-01",
... | GQRY-A.0-E.0 |
081-1 | ambig | true | codebase_community | Find users who have either Teacher or Student badges in 2011 and 2012. Only includes the users with ID up to 1000. | [
{
"id": "A",
"phrase": "in 2011 and 2012",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"in both 2011 and 2012.",
"in either 2011 or 2012."
],
"intended_interpretation_idx": 0
}
] | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"UserId": 501,
"DisplayName": "momeara"
},... | GQRY-A.0 |
090-0 | ambig | true | student_club | List all events attended by members in Albany, including their name and location. | [
{
"id": "A",
"phrase": "Albany",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"Albany city, Vermont",
"Albany city, New York",
"Albany city, Georgia",
"Albany city, Kentucky",
"Albany city, Ohio",
"Albany city, Indiana",
... | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [],
"num_rows": 0
},
"parquet_base64": "UEFSMRUEFQAVAkwVABUAEgAAABUEFQAV... | GQRY-A.15 |
002-1 | ambig | true | retails | Count the number of suppliers that offer both air and rail shipping in America. | [
{
"id": "A",
"phrase": "suppliers that offer both air and rail shipping in America",
"type": "finite",
"ambiguity_type": "syntactic_computation",
"interpretations": [
"suppliers that offer air and rail shipping to customers in America",
"suppliers in America that offer air and rail s... | [
{
"id": "GQRY-A.0-B.0-C.0",
"query": "WITH usa_suppliers_with_air AS (\nSELECT DISTINCT l.l_suppkey\nFROM lineitem l\nJOIN orders o ON l.l_orderkey = o.o_orderkey\nJOIN customer c ON o.o_custkey = c.c_custkey\nJOIN nation n ON c.c_nationkey = n.n_nationkey\nWHERE n.n_name = 'UNITED STATES'\nAND l.l_shipmode... | GQRY-A.1-B.0-C.1 |
065-1 | ambig | true | financial | List the districts with low unemployment in 1995 - 1996. | [
{
"id": "A",
"phrase": "low unemployment",
"type": "infinite",
"ambiguity_type": "semantic_value",
"parameter_name": "unemployment_rate_threshold",
"parameter_dtype": "float",
"parameter_sample_operators": [
"<",
"<="
],
"parameter_sample_values": [
1.7000000000... | [
{
"id": "GQRY-B.0",
"query": null,
"parameter_names": [
"unemployment_rate_threshold"
],
"parameter_values": {
"unemployment_rate_threshold": 1.7000000000000002
},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_dat... | GQRY-B.0 |
002-3 | ambig | true | retails | Count the number of suppliers that offer both air and rail shipping in America. | [
{
"id": "A",
"phrase": "suppliers that offer both air and rail shipping in America",
"type": "finite",
"ambiguity_type": "syntactic_computation",
"interpretations": [
"suppliers that offer air and rail shipping to customers in America",
"suppliers in America that offer air and rail s... | [
{
"id": "GQRY-A.0-B.0-C.0",
"query": "WITH usa_suppliers_with_air AS (\nSELECT DISTINCT l.l_suppkey\nFROM lineitem l\nJOIN orders o ON l.l_orderkey = o.o_orderkey\nJOIN customer c ON o.o_custkey = c.c_custkey\nJOIN nation n ON c.c_nationkey = n.n_nationkey\nWHERE n.n_name = 'UNITED STATES'\nAND l.l_shipmode... | GQRY-A.1-B.0-C.0 |
051-2 | ambig | true | github_repos | For each sample repo with many watchers, show the number of public events in the first month of 2023 and 2022, return the result in (repo_name, count) pairs. | [
{
"id": "A",
"phrase": "many watchers",
"type": "infinite",
"ambiguity_type": "semantic_value",
"parameter_name": "watcher_threshold",
"parameter_dtype": "int",
"parameter_sample_operators": [
">",
">="
],
"parameter_sample_values": [
160
],
"intended_pa... | [
{
"id": "GQRY-B.0-C.0",
"query": null,
"parameter_names": [
"watcher_threshold"
],
"parameter_values": {
"watcher_threshold": 160
},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
... | GQRY-B.0-C.1 |
093-2 | ambig | true | student_club | Show the number of members for each region in the Morgan County . | [
{
"id": "A",
"phrase": "region",
"type": "finite",
"ambiguity_type": "semantic_column",
"interpretations": [
"zip code",
"city"
],
"intended_interpretation_idx": 0
},
{
"id": "B",
"phrase": "Morgan County",
"type": "finite",
"ambiguity_type": "semantic_val... | [
{
"id": "GQRY-A.0-B.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"zip_code": 25411,
"member_count": 0
}... | GQRY-A.0-B.4 |
083-0 | ambig | true | codebase_community | For each tag with many occurences (tags.Count), find the post with the highest score and its last update timestamp and reply count. | [
{
"id": "A",
"phrase": "many occurences",
"type": "infinite",
"ambiguity_type": "semantic_value",
"parameter_name": "count_threshold",
"parameter_dtype": "int",
"parameter_sample_operators": [
">",
">="
],
"parameter_sample_values": [
500
],
"intended_pa... | [
{
"id": "GQRY-B.0-C.0",
"query": null,
"parameter_names": [
"count_threshold"
],
"parameter_values": {
"count_threshold": 500
},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"... | GQRY-B.0-C.1 |
063-0 | ambig | true | financial | Identify clients who are considered young adults when they received a sizable loan. Return the client ID, loan amount, and loan date. | [
{
"id": "A",
"phrase": "young",
"type": "infinite",
"ambiguity_type": "semantic_value",
"parameter_name": "age_upper_bound",
"parameter_dtype": "int",
"parameter_sample_operators": [
"<",
"<="
],
"parameter_sample_values": [
25
],
"intended_parameter_ope... | [
{
"id": "GQRY",
"query": null,
"parameter_names": [
"age_lower_bound",
"age_upper_bound",
"loan_amount_threshold"
],
"parameter_values": {
"age_lower_bound": 18,
"age_upper_bound": 25,
"loan_amount_threshold": 10000
},
"exec_result": {
"df": {
... | GQRY |
038-1 | ambig | true | github_repos | Show all programming languages and their total usage in GITHUB_REPOS_LANGUAGES. | [
{
"id": "A",
"phrase": "total usage",
"type": "finite",
"ambiguity_type": "semantic_computation",
"interpretations": [
"total number of repositories",
"total number of bytes"
],
"intended_interpretation_idx": 1
}
] | [
{
"id": "GQRY-A.0",
"query": null,
"parameter_names": [],
"parameter_values": {},
"exec_result": {
"df": {
"format": "parquet_base64_v1",
"preview": {
"sample_data": [
{
"language": "Shell",
"repo_count": 23
},
... | GQRY-A.1 |
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