trying to prompt engineer fixes for other_stats table
Browse files- test_pretrained.ipynb +102 -52
test_pretrained.ipynb
CHANGED
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@@ -16,7 +16,7 @@
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},
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{
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"cell_type": "code",
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"execution_count":
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"metadata": {},
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"outputs": [
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{
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"Total dataset examples: 1044\n",
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"\n",
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"\n",
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"What
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"SELECT
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},
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{
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"cell_type": "code",
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"execution_count":
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count":
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"metadata": {},
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"outputs": [],
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"source": [
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");\n",
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"\n",
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"other_stats Table\n",
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"Stores additional
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"CREATE TABLE IF NOT EXISTS \"other_stats\" (\n",
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" \"game_id\" TEXT, -- Unique game identifier
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" \"league_id\" TEXT, -- League identifier\n",
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" \"team_id_home\" TEXT, -- Home team identifier\n",
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" \"team_abbreviation_home\" TEXT, -- Home team abbreviation\n",
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" \"pts_2nd_chance_home\" INTEGER, -- Second chance points by the home team\n",
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" \"pts_fb_home\" INTEGER, -- Fast break points by the home team\n",
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" \"largest_lead_home\" INTEGER,-- Largest lead by the home team\n",
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" \"lead_changes\" INTEGER, -- Number of lead changes
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" \"times_tied\" INTEGER, -- Number of times the score was tied\n",
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" \"team_turnovers_home\" INTEGER, -- Home team turnovers\n",
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-
" \"total_turnovers_home\" INTEGER, -- Total turnovers
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" \"team_rebounds_home\" INTEGER, -- Home team rebounds\n",
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" \"pts_off_to_home\" INTEGER, -- Points off turnovers by the home team\n",
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" \"team_id_away\" TEXT, -- Away team identifier\n",
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" \"pts_paint_away\" INTEGER, -- Points in the paint by the away team\n",
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" \"pts_2nd_chance_away\" INTEGER, -- Second chance points by the away team\n",
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" \"pts_fb_away\" INTEGER, -- Fast break points by the away team\n",
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" \"largest_lead_away\" INTEGER,-- Largest lead by the away team\n",
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" \"team_turnovers_away\" INTEGER, -- Away team turnovers\n",
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" \"total_turnovers_away\" INTEGER, -- Total turnovers
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" \"team_rebounds_away\" INTEGER, -- Away team rebounds\n",
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" \"pts_off_to_away\" INTEGER -- Points off turnovers by the away team\n",
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");\n",
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@@ -228,19 +229,28 @@
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"Detroit Pistons|DET\n",
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"Charlotte Hornets|CHA\n",
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"\n",
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"\n",
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"\n",
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"Query Guidelines\n",
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"Use team_name_home and team_name_away to match teams.\n",
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"\n",
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"To filter by season, use season_id = '2YYYY'.\n",
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"\n",
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"Example: To get
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"\n",
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"The game_id column
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"\n",
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"Ensure queries return relevant columns and avoid unnecessary joins.\n",
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"\n",
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"Example User Requests and SQLite Queries\n",
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"Request:\n",
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"\"What is the most points the Los Angeles Lakers have ever scored at home?\"\n",
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"WHERE team_name_home = 'Los Angeles Lakers';\n",
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"\n",
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"Request:\n",
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"\"How many points did the Miami Heat score on January 10, 2010?\"\n",
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"SQLite:\n",
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"SELECT team_name_home, pts_home, team_name_away, pts_away \n",
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"AND (team_name_home = 'Miami Heat' OR team_name_away = 'Miami Heat');\n",
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"\n",
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"Request:\n",
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"\"Which team won the most home games in the 2000 season?\"\n",
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"SQLite:\n",
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"SELECT team_name_home, COUNT(*) AS wins\n",
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"ORDER BY wins DESC\n",
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"LIMIT 1;\n",
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"\n",
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]
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},
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{
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},
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{
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"cell_type": "code",
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"execution_count":
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"text": [
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"SQLite:\n",
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"SELECT
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"FROM game
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"WHERE team_name_home = 'Miami Heat';\n",
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"\n"
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]
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}
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},
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{
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"cell_type": "code",
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"execution_count":
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"text": [
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"cleaned\n",
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"(
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]
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}
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],
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},
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{
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"cell_type": "code",
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"execution_count":
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"How many
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"SELECT COUNT(*)
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"
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"SQLite:\n",
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"SELECT COUNT(*) \n",
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"FROM game \n",
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"WHERE
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"AND wl_away = 'W' \n",
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"AND pts_away >= 110;\n",
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"\n",
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"Statement valid? True\n",
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"SQLite matched? False\n",
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},
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{
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"cell_type": "code",
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"execution_count":
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count":
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"text": [
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"Completed 50\n",
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"Completed 100\n",
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"Completed 150\n",
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"Completed 200\n",
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"\n",
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"Less than 90 results:\n",
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"Percent valid: 0.
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"Percent SQLite matched: 0.
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"Percent result matched: 0.
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"Dataset length: 245\n"
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]
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}
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],
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"source": [
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"less_than_90_df = pd.read_csv(\"./train-data/less_than_90.tsv\", sep='\\t')\n",
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"run_evaluation(less_than_90_df, \"Less than 90\")\n",
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"print(\"Dataset length: \" + str(len(less_than_90_df)))"
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]
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},
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},
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{
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"cell_type": "code",
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"execution_count":
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"metadata": {},
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"outputs": [
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{
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"Completed 800\n",
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"\n",
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"Queries from game results:\n",
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"Percent valid: 0.
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"Percent SQLite matched: 0.
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"Percent result matched: 0.
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"Dataset length: 838\n"
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]
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}
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},
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{
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"cell_type": "code",
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"execution_count":
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"metadata": {},
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"outputs": [
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{
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"Completed 150\n",
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"\n",
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"Queries from other stats results:\n",
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"Percent valid: 0.
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"Percent SQLite matched: 0.
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"Percent result matched: 0.
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"Dataset length: 154\n"
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]
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}
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},
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{
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"cell_type": "code",
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"execution_count":
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"metadata": {},
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"outputs": [
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{
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"Completed 50\n",
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"\n",
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"Queries from team results:\n",
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"Percent valid: 0.
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"Percent SQLite matched: 0.
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"Percent result matched: 0.
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"Dataset length: 52\n"
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]
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}
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},
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{
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"cell_type": "code",
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"execution_count": 34,
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"metadata": {},
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"outputs": [
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{
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"Total dataset examples: 1044\n",
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"\n",
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"\n",
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"What was the largest deficit overcome by the Miami Heat in any home victory?\n",
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"SELECT o.largest_lead_away AS max_deficit_overcome FROM game g JOIN other_stats o ON g.game_id = o.game_id WHERE g.team_name_home = 'Miami Heat' AND g.wl_home = 'W' ORDER BY o.largest_lead_away DESC LIMIT 1;\n",
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"46\n"
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]
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}
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],
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},
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{
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"cell_type": "code",
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"execution_count": 35,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 36,
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"metadata": {},
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"outputs": [],
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"source": [
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");\n",
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"\n",
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"other_stats Table\n",
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"Stores additional statistics, linked to the game table via game_id.\n",
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"CREATE TABLE IF NOT EXISTS \"other_stats\" (\n",
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" \"game_id\" TEXT, -- Unique game identifier, matches id column from game table\n",
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" \"league_id\" TEXT, -- League identifier\n",
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" \"team_id_home\" TEXT, -- Home team identifier\n",
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" \"team_abbreviation_home\" TEXT, -- Home team abbreviation\n",
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" \"pts_2nd_chance_home\" INTEGER, -- Second chance points by the home team\n",
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" \"pts_fb_home\" INTEGER, -- Fast break points by the home team\n",
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" \"largest_lead_home\" INTEGER,-- Largest lead by the home team\n",
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" \"lead_changes\" INTEGER, -- Number of lead changes \n",
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" \"times_tied\" INTEGER, -- Number of times the score was tied\n",
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" \"team_turnovers_home\" INTEGER, -- Home team turnovers\n",
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" \"total_turnovers_home\" INTEGER, -- Total turnovers by the home team\n",
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" \"team_rebounds_home\" INTEGER, -- Home team rebounds\n",
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" \"pts_off_to_home\" INTEGER, -- Points off turnovers by the home team\n",
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" \"team_id_away\" TEXT, -- Away team identifier\n",
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" \"team_abbreviation_away\" TEXT, -- Away team abbreviation\n",
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" \"pts_paint_away\" INTEGER, -- Points in the paint by the away team\n",
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" \"pts_2nd_chance_away\" INTEGER, -- Second chance points by the away team\n",
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" \"pts_fb_away\" INTEGER, -- Fast break points by the away team\n",
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" \"largest_lead_away\" INTEGER,-- Largest lead by the away team\n",
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" \"team_turnovers_away\" INTEGER, -- Away team turnovers\n",
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" \"total_turnovers_away\" INTEGER, -- Total turnovers by the away team\n",
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" \"team_rebounds_away\" INTEGER, -- Away team rebounds\n",
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" \"pts_off_to_away\" INTEGER -- Points off turnovers by the away team\n",
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");\n",
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"Detroit Pistons|DET\n",
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"Charlotte Hornets|CHA\n",
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"\n",
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"Query Guidelines\n",
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"Use team_name_home and team_name_away to match teams to the game table. Use team_abbreviation_home and team_abbreviation away to match teams to the other_stats table.\n",
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"\n",
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"To filter by season, use season_id = '2YYYY'.\n",
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"\n",
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"Example: To get statistics from 2005, use a statement like: season_id = '22005'. To get statistics from 1972, use a statement like: season_id = \"21972\". To get statistics from 2015, use a statement like: season_id = \"22015\".\n",
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"\n",
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"The game_id column can be used to join the game and other_stats tables.\n",
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"\n",
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"Ensure queries return relevant columns and avoid unnecessary joins.\n",
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"\n",
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"When obtaining certain statistics by team from the game table, use the team_name_home and team_name_away columns. \n",
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"For example, to obtain home game data for the Washington Wizards from the game table use a statement like: team_name_home = 'Washington Wizards'\n",
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"To obtain away game data from the Los Angeles Lakers from the game table use a statement like: team_name_away = 'Los Angeles Lakers'\n",
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"To obtain general game data where home or away is not specified for the Chicago Bulls from the game table, use a statement like: (team_name_home = 'Chicago Bulls' OR team_name_away = 'Chicago Bulls')\n",
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"\n",
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"When obtaining certain statistics by team from the other_stats table, use the team_abbreviation_home and team_abbreviation away columns.\n",
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"For example, to obtain home statistics from the Charlotte Hornets from the other_stats table use a statement like: team_abbreviation_home = 'CHA'\n",
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"To obtain away statistics from the Dallas Mavericks from the other_stats table, use a statement like: team_abbreviation_away = 'DAL'\n",
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"To obtain general statistics from the other_stats table where home or away is not specified for the Detroit Pistons use a statement like: (team_abbreviation_home = 'DET' OR team_abbreviation_away = 'DET)\n",
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"\n",
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"\n",
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"Example User Requests and SQLite Queries\n",
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"Request:\n",
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"\"What is the most points the Los Angeles Lakers have ever scored at home?\"\n",
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"WHERE team_name_home = 'Los Angeles Lakers';\n",
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"\n",
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"Request:\n",
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"\"Which teams are located in the state of California?\"\n",
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"SQLite:\n",
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"SELECT full_name FROM team WHERE state = 'California';\n",
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"\n",
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"Request:\n",
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"\"How many total team rebounds did the Los Angeles Clippers have in away games where they scored over 15 fast break points?\"\n",
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"SQLite:\n",
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"SELECT SUM(os.team_rebounds_away) \n",
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"FROM other_stats os \n",
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"JOIN game g ON os.game_id = g.game_id \n",
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"WHERE g.team_abbreviation_away = 'LAC' AND os.pts_fb_away > 15;\n",
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"\n",
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"Request:\n",
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"\"How many points did the Miami Heat score on January 10, 2010?\"\n",
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"SQLite:\n",
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"SELECT team_name_home, pts_home, team_name_away, pts_away \n",
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"AND (team_name_home = 'Miami Heat' OR team_name_away = 'Miami Heat');\n",
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"\n",
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"Request:\n",
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"\"Which team had the highest number of team turnovers in an away game?\"\n",
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"SQLite:\n",
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"SELECT team_abbreviation_away FROM other_stats ORDER BY team_turnovers_away DESC LIMIT 1;\n",
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"\n",
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"Request:\n",
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"\"Which team won the most home games in the 2000 season?\"\n",
|
| 290 |
"SQLite:\n",
|
| 291 |
"SELECT team_name_home, COUNT(*) AS wins\n",
|
|
|
|
| 295 |
"ORDER BY wins DESC\n",
|
| 296 |
"LIMIT 1;\n",
|
| 297 |
"\n",
|
| 298 |
+
"Request:\n",
|
| 299 |
+
"\"Which teams were founded before 1979?\"\n",
|
| 300 |
+
"SQLite:\n",
|
| 301 |
+
"SELECT full_name FROM team WHERE year_founded < 1979;\n",
|
| 302 |
+
"\n",
|
| 303 |
+
"Request:\n",
|
| 304 |
+
"\"Which game had the most lead changes in the 2020 season?\"\n",
|
| 305 |
+
"SQLite:\n",
|
| 306 |
+
"SELECT game_id, lead_changes \n",
|
| 307 |
+
"FROM other_stats \n",
|
| 308 |
+
"WHERE game_id IN \n",
|
| 309 |
+
"(SELECT game_id FROM game WHERE season_id = '22020')\n",
|
| 310 |
+
"ORDER BY lead_changes DESC LIMIT 1;\n",
|
| 311 |
+
"\n",
|
| 312 |
+
"Request:\n",
|
| 313 |
+
"\"Find the Boston Celtics largest home victory margin in the 2008 season.\"\n",
|
| 314 |
+
"SQLite:\n",
|
| 315 |
+
"SELECT MAX(pts_home - pts_away) AS biggest_win\n",
|
| 316 |
+
"FROM game\n",
|
| 317 |
+
"WHERE team_name_home = 'Boston Celtics' AND season_id = '22008';\n",
|
| 318 |
+
"\n",
|
| 319 |
+
"Request:\n",
|
| 320 |
+
"\"How many fast break points did the Atlanta Hawks score at home?\"\n",
|
| 321 |
+
"SQLite:\n",
|
| 322 |
+
"SELECT SUM(pts_fb_home) as total_fb_points FROM other_stats WHERE team_abbreviation_home = 'ATL';\n",
|
| 323 |
+
"\n",
|
| 324 |
+
"Generate only the SQLite query prefaced by SQLite: and no other text, do not output an explanation of the query. Now generate an SQLite query for the following user request. Request:\n",
|
| 325 |
+
"\"\"\""
|
| 326 |
]
|
| 327 |
},
|
| 328 |
{
|
|
|
|
| 334 |
},
|
| 335 |
{
|
| 336 |
"cell_type": "code",
|
| 337 |
+
"execution_count": 37,
|
| 338 |
"metadata": {},
|
| 339 |
"outputs": [
|
| 340 |
{
|
|
|
|
| 342 |
"output_type": "stream",
|
| 343 |
"text": [
|
| 344 |
"SQLite:\n",
|
| 345 |
+
"SELECT MAX(pts_home - pts_away) AS largest_deficit\n",
|
| 346 |
+
"FROM game\n",
|
| 347 |
+
"WHERE wl_home = 'W' AND team_name_home = 'Miami Heat';\n",
|
| 348 |
"\n"
|
| 349 |
]
|
| 350 |
}
|
|
|
|
| 369 |
},
|
| 370 |
{
|
| 371 |
"cell_type": "code",
|
| 372 |
+
"execution_count": 38,
|
| 373 |
"metadata": {},
|
| 374 |
"outputs": [
|
| 375 |
{
|
|
|
|
| 377 |
"output_type": "stream",
|
| 378 |
"text": [
|
| 379 |
"cleaned\n",
|
| 380 |
+
"(43.0,)\n"
|
| 381 |
]
|
| 382 |
}
|
| 383 |
],
|
|
|
|
| 415 |
},
|
| 416 |
{
|
| 417 |
"cell_type": "code",
|
| 418 |
+
"execution_count": 39,
|
| 419 |
"metadata": {},
|
| 420 |
"outputs": [
|
| 421 |
{
|
| 422 |
"name": "stdout",
|
| 423 |
"output_type": "stream",
|
| 424 |
"text": [
|
| 425 |
+
"How many home games did the Chicago Bulls play in the 2020 season?\n",
|
| 426 |
+
"SELECT COUNT(*) FROM game WHERE team_name_home = 'Chicago Bulls' AND season_id = '22020';\n",
|
| 427 |
+
"36.0\n",
|
| 428 |
"SQLite:\n",
|
| 429 |
+
"SELECT COUNT(*) as total_home_games \n",
|
| 430 |
"FROM game \n",
|
| 431 |
+
"WHERE team_name_home = 'Chicago Bulls' AND season_id = '22020';\n",
|
|
|
|
|
|
|
| 432 |
"\n",
|
| 433 |
"Statement valid? True\n",
|
| 434 |
"SQLite matched? False\n",
|
|
|
|
| 561 |
},
|
| 562 |
{
|
| 563 |
"cell_type": "code",
|
| 564 |
+
"execution_count": 40,
|
| 565 |
"metadata": {},
|
| 566 |
"outputs": [],
|
| 567 |
"source": [
|
|
|
|
| 609 |
},
|
| 610 |
{
|
| 611 |
"cell_type": "code",
|
| 612 |
+
"execution_count": 41,
|
| 613 |
"metadata": {},
|
| 614 |
"outputs": [
|
| 615 |
{
|
|
|
|
| 617 |
"output_type": "stream",
|
| 618 |
"text": [
|
| 619 |
"Completed 50\n",
|
|
|
|
|
|
|
|
|
|
| 620 |
"\n",
|
| 621 |
"Less than 90 results:\n",
|
| 622 |
+
"Percent valid: 0.62\n",
|
| 623 |
+
"Percent SQLite matched: 0.12\n",
|
| 624 |
+
"Percent result matched: 0.4\n",
|
| 625 |
"Dataset length: 245\n"
|
| 626 |
]
|
| 627 |
}
|
| 628 |
],
|
| 629 |
"source": [
|
| 630 |
"less_than_90_df = pd.read_csv(\"./train-data/less_than_90.tsv\", sep='\\t')\n",
|
| 631 |
+
"run_evaluation(less_than_90_df.sample(n=50), \"Less than 90\")\n",
|
| 632 |
"print(\"Dataset length: \" + str(len(less_than_90_df)))"
|
| 633 |
]
|
| 634 |
},
|
|
|
|
| 641 |
},
|
| 642 |
{
|
| 643 |
"cell_type": "code",
|
| 644 |
+
"execution_count": 25,
|
| 645 |
"metadata": {},
|
| 646 |
"outputs": [
|
| 647 |
{
|
|
|
|
| 666 |
"Completed 800\n",
|
| 667 |
"\n",
|
| 668 |
"Queries from game results:\n",
|
| 669 |
+
"Percent valid: 0.6181384248210023\n",
|
| 670 |
+
"Percent SQLite matched: 0.015513126491646777\n",
|
| 671 |
+
"Percent result matched: 0.24343675417661098\n",
|
| 672 |
"Dataset length: 838\n"
|
| 673 |
]
|
| 674 |
}
|
|
|
|
| 688 |
},
|
| 689 |
{
|
| 690 |
"cell_type": "code",
|
| 691 |
+
"execution_count": 23,
|
| 692 |
"metadata": {},
|
| 693 |
"outputs": [
|
| 694 |
{
|
|
|
|
| 700 |
"Completed 150\n",
|
| 701 |
"\n",
|
| 702 |
"Queries from other stats results:\n",
|
| 703 |
+
"Percent valid: 0.6168831168831169\n",
|
| 704 |
+
"Percent SQLite matched: 0.06493506493506493\n",
|
| 705 |
+
"Percent result matched: 0.34415584415584416\n",
|
| 706 |
"Dataset length: 154\n"
|
| 707 |
]
|
| 708 |
}
|
|
|
|
| 722 |
},
|
| 723 |
{
|
| 724 |
"cell_type": "code",
|
| 725 |
+
"execution_count": 24,
|
| 726 |
"metadata": {},
|
| 727 |
"outputs": [
|
| 728 |
{
|
|
|
|
| 732 |
"Completed 50\n",
|
| 733 |
"\n",
|
| 734 |
"Queries from team results:\n",
|
| 735 |
+
"Percent valid: 0.8846153846153846\n",
|
| 736 |
+
"Percent SQLite matched: 0.6346153846153846\n",
|
| 737 |
+
"Percent result matched: 0.8269230769230769\n",
|
| 738 |
"Dataset length: 52\n"
|
| 739 |
]
|
| 740 |
}
|