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","interpr(...TRUNCATED) | [{"id":"GQRY-A.0-B.0-C.0-D.0","query":"WITH revenue AS (\nSELECT n.n_nationkey,\nn.n_name,\nCOALESCE(...TRUNCATED) | 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","interpretat(...TRUNCATED) | [{"id":"GQRY-A.0-B.0-C.0","query":"SELECT\nt.tmID,\nt.name,\nCASE\nWHEN SUM(pt.fgAttempted) = 0 THEN(...TRUNCATED) | 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 202(...TRUNCATED) | [{"id":"A","phrase":"GPL license","type":"finite","ambiguity_type":"semantic_value","interpretations(...TRUNCATED) | [{"id":"GQRY-A.0-B.0","query":"WITH gpl_repos AS (\nSELECT grl.repo_name, grl.license\nFROM GITHUB_R(...TRUNCATED) | 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","interpretation(...TRUNCATED) | [{"id":"GQRY-A.0-B.0","query":"SELECT COUNT(*)\nFROM trans\nWHERE operation = 'VKLAD'\nAND (date >= (...TRUNCATED) | 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":"cou(...TRUNCATED) | [{"id":"GQRY-B.0","query":"SELECT p.Id, p.Title, COUNT(DISTINCT pl.RelatedPostId) AS RelatedCount\nF(...TRUNCATED) | 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","para(...TRUNCATED) | [{"id":"GQRY-B.0","query":"WITH event_budget AS (\nSELECT\nlink_to_event AS event_id,\nSUM(remaining(...TRUNCATED) | GQRY-B.0 |
037-1 | ambig | true | github_repos | "List all repository names with many issues opened in 2022, provide the corresponding issue count an(...TRUNCATED) | [{"id":"A","phrase":"many","type":"infinite","ambiguity_type":"semantic_value","parameter_name":"iss(...TRUNCATED) | [{"id":"GQRY-B.0","query":"WITH issue_counts AS (\nSELECT\njson_extract(repo, '$.name') AS repo_name(...TRUNCATED) | 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","am(...TRUNCATED) | [{"id":"GQRY-A.0-B.0-C.0","query":"WITH usa_suppliers_with_air AS (\nSELECT DISTINCT l.l_suppkey\nFR(...TRUNCATED) | 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 n(...TRUNCATED) | [{"id":"A","phrase":"public events","type":"finite","ambiguity_type":"semantic_computation","interpr(...TRUNCATED) | [{"id":"GQRY-A.0-B.0","query":null,"parameter_names":["pr_count_threshold"],"parameter_values":{"pr_(...TRUNCATED) | 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","interpr(...TRUNCATED) | [{"id":"GQRY-A.0-B.0","query":null,"parameter_names":[],"parameter_values":{},"exec_result":{"df":{"(...TRUNCATED) | GQRY-A.1-B.1 |
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ARCS
Ambiguity Resolution Corpus for SQL. 311 task instances across 6 databases.
Files
tasks.jsonl— one row per intended interpretation.databases/sqlite/*.sqlite— databases referenced by thedbfield.databases/column_meanings.json— column-level descriptions.
Loading
from datasets import load_dataset
ds = load_dataset("kiaw73b5o7a/arcs-bench", split="train")
Most rows have the gold SQL string (gold_queries[*].query) masked to null to avoid label leakage; a small sample retains it. Other gold_queries fields (e.g. exec_result) are kept on every row.
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