messages listlengths 1 1 | answers listlengths 1 1 | document stringlengths 103 9.68k | id int64 0 29.2k | context_list listlengths 1 1 | top_k_ctx_list listlengths 5 6 | cosine_similarity_value listlengths 5 6 | top_k_ctx_ids listlengths 5 6 | split stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|
[
{
"content": "Which player had the most rushing yards?",
"role": "user"
}
] | [
"Beanie Wells"
] | After trailing the Cardinals for most of the game, the Giants scored two touchdowns in the final 100 seconds of the game for their first come from behind victory of the year. Arizona led 20-10 entering the fourth on the strength of two Beanie Wells rushing touchdowns and two Jay Feely field goals. The Giants were aide... | 26,700 | [
" After trailing the Cardinals for most of the game, the Giants scored two touchdowns in the final 100 seconds of the game for their first come from behind victory of the year. Arizona led 20-10 entering the fourth on the strength of two Beanie Wells rushing touchdowns and two Jay Feely field goals. The Giants were... | [
" After trailing the Cardinals for most of the game, the Giants scored two touchdowns in the final 100 seconds of the game for their first come from behind victory of the year. Arizona led 20-10 entering the fourth on the strength of two Beanie Wells rushing touchdowns and two Jay Feely field goals. The Giants were... | [
1.0000002384,
0.9966779947,
0.9958844781,
0.9956784844,
0.9955859184,
0.9955375791
] | [
4279,
3332,
1090,
2886,
2277,
1112
] | train |
[
{
"content": "What is the Bears season record?",
"role": "user"
}
] | [
"10-4"
] | With the Monday night game having been moved to the University of Minnesota's TCF Bank Stadium due to the snow-induced collapse of the Metrodome roof, Chicago looked to rebound from the previous week's rout in the first outdoor NFL game held in Minnesota in over two decades. Quarterback Brett Favre made a surprise st... | 26,701 | [
" With the Monday night game having been moved to the University of Minnesota's TCF Bank Stadium due to the snow-induced collapse of the Metrodome roof, Chicago looked to rebound from the previous week's rout in the first outdoor NFL game held in Minnesota in over two decades. Quarterback Brett Favre made a surpri... | [
" With the Monday night game having been moved to the University of Minnesota's TCF Bank Stadium due to the snow-induced collapse of the Metrodome roof, Chicago looked to rebound from the previous week's rout in the first outdoor NFL game held in Minnesota in over two decades. Quarterback Brett Favre made a surpri... | [
1,
0.994848609,
0.9946975708,
0.9945840836,
0.9944022894,
0.994341135
] | [
4280,
3047,
2726,
1297,
1115,
2380
] | train |
[
{
"content": "Which player threw more touchdown passes, Jay Cutler or Brett Favre?",
"role": "user"
}
] | [
"Jay Cutler"
] | With the Monday night game having been moved to the University of Minnesota's TCF Bank Stadium due to the snow-induced collapse of the Metrodome roof, Chicago looked to rebound from the previous week's rout in the first outdoor NFL game held in Minnesota in over two decades. Quarterback Brett Favre made a surprise st... | 26,702 | [
" With the Monday night game having been moved to the University of Minnesota's TCF Bank Stadium due to the snow-induced collapse of the Metrodome roof, Chicago looked to rebound from the previous week's rout in the first outdoor NFL game held in Minnesota in over two decades. Quarterback Brett Favre made a surpri... | [
" With the Monday night game having been moved to the University of Minnesota's TCF Bank Stadium due to the snow-induced collapse of the Metrodome roof, Chicago looked to rebound from the previous week's rout in the first outdoor NFL game held in Minnesota in over two decades. Quarterback Brett Favre made a surpri... | [
1,
0.994848609,
0.9946975708,
0.9945840836,
0.9944022894,
0.994341135
] | [
4280,
3047,
2726,
1297,
1115,
2380
] | train |
[
{
"content": "Did Oman have more male migrants from Bangladesh or Pakistan?",
"role": "user"
}
] | [
"Bangladesh"
] | Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) or Pak... | 26,703 | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
1.0000001192,
0.9927660227,
0.990760088,
0.9905544519,
0.9905445576,
0.9903687239
] | [
4281,
3169,
4620,
554,
4714,
4594
] | train |
[
{
"content": "Did Oman have more male migrants from India or Pakistan?",
"role": "user"
}
] | [
"India"
] | Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) or Pak... | 26,704 | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
1.0000001192,
0.9927660227,
0.990760088,
0.9905544519,
0.9905445576,
0.9903687239
] | [
4281,
3169,
4620,
554,
4714,
4594
] | train |
[
{
"content": "Did Oman have more female migrants from Indonesia or the Philippines?",
"role": "user"
}
] | [
"Indonesia"
] | Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) or Pak... | 26,705 | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
1.0000001192,
0.9927660227,
0.990760088,
0.9905544519,
0.9905445576,
0.9903687239
] | [
4281,
3169,
4620,
554,
4714,
4594
] | train |
[
{
"content": "Were there more migrants from Europe or the United States?",
"role": "user"
}
] | [
"Europe"
] | Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) or Pak... | 26,706 | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
1.0000001192,
0.9927660227,
0.990760088,
0.9905544519,
0.9905445576,
0.9903687239
] | [
4281,
3169,
4620,
554,
4714,
4594
] | train |
[
{
"content": "Were from migrants from Egypt ot Jordan?",
"role": "user"
}
] | [
"Egypt"
] | Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) or Pak... | 26,707 | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
1.0000001192,
0.9927660227,
0.990760088,
0.9905544519,
0.9905445576,
0.9903687239
] | [
4281,
3169,
4620,
554,
4714,
4594
] | train |
[
{
"content": "Which gender were there more of from India, males or females?",
"role": "user"
}
] | [
"males"
] | Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) or Pak... | 26,708 | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
1.0000001192,
0.9927660227,
0.990760088,
0.9905544519,
0.9905445576,
0.9903687239
] | [
4281,
3169,
4620,
554,
4714,
4594
] | train |
[
{
"content": "Which country were more female migrant workers from, Philippines or Sri Lanka?",
"role": "user"
}
] | [
"Philippines"
] | Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) or Pak... | 26,709 | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
1.0000001192,
0.9927660227,
0.990760088,
0.9905544519,
0.9905445576,
0.9903687239
] | [
4281,
3169,
4620,
554,
4714,
4594
] | train |
[
{
"content": "Which were more migrants from in the Omani population, Europe or the United States?",
"role": "user"
}
] | [
"Europe"
] | Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) or Pak... | 26,710 | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
1.0000001192,
0.9927660227,
0.990760088,
0.9905544519,
0.9905445576,
0.9903687239
] | [
4281,
3169,
4620,
554,
4714,
4594
] | train |
[
{
"content": "Which group had more migrants India, or Bangladesh?",
"role": "user"
}
] | [
"India"
] | Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) or Pak... | 26,711 | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
1.0000001192,
0.9927660227,
0.990760088,
0.9905544519,
0.9905445576,
0.9903687239
] | [
4281,
3169,
4620,
554,
4714,
4594
] | train |
[
{
"content": "Which group had less migrants, Pakistan or Bangladesh?",
"role": "user"
}
] | [
"Pakistan"
] | Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) or Pak... | 26,712 | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
1.0000001192,
0.9927660227,
0.990760088,
0.9905544519,
0.9905445576,
0.9903687239
] | [
4281,
3169,
4620,
554,
4714,
4594
] | train |
[
{
"content": "Which group had more migrants, India or Bnagladesh and Pakistan combined?",
"role": "user"
}
] | [
"India"
] | Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) or Pak... | 26,713 | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
1.0000001192,
0.9927660227,
0.990760088,
0.9905544519,
0.9905445576,
0.9903687239
] | [
4281,
3169,
4620,
554,
4714,
4594
] | train |
[
{
"content": "Were there more female migrants from Indonesia or the Philippines?",
"role": "user"
}
] | [
"Indonesia"
] | Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) or Pak... | 26,714 | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
1.0000001192,
0.9927660227,
0.990760088,
0.9905544519,
0.9905445576,
0.9903687239
] | [
4281,
3169,
4620,
554,
4714,
4594
] | train |
[
{
"content": "Are there fewer migrants from Arab countries or from Asian countries?",
"role": "user"
}
] | [
"Arab"
] | Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) or Pak... | 26,715 | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
1.0000001192,
0.9927660227,
0.990760088,
0.9905544519,
0.9905445576,
0.9903687239
] | [
4281,
3169,
4620,
554,
4714,
4594
] | train |
[
{
"content": "Which Arab countries had migrants of less than 1000 people?",
"role": "user"
}
] | [
"Saudi Arabia"
] | Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) or Pak... | 26,716 | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
1.0000001192,
0.9927660227,
0.990760088,
0.9905544519,
0.9905445576,
0.9903687239
] | [
4281,
3169,
4620,
554,
4714,
4594
] | train |
[
{
"content": "Which 3 Arab countries sent the most migrants?",
"role": "user"
}
] | [
"Egypt"
] | Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) or Pak... | 26,717 | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
"Because of the combination of a relatively small Omani population and a fast-growing oil-driven economy, Oman has attracted many migrants. At the 2014 census the total expatriate population was 1,789,000 or 43.7% of the population. Most migrants are males from India (465,660 for both sexes), Bangladesh (107,125) o... | [
1.0000001192,
0.9927660227,
0.990760088,
0.9905544519,
0.9905445576,
0.9903687239
] | [
4281,
3169,
4620,
554,
4714,
4594
] | train |
[
{
"content": "Which happened first, a 30% pay cut or threats to cancel the series?",
"role": "user"
}
] | [
"threats to cancel the series"
] | Until 1998, Shearer was paid $30,000 per episode. During a pay dispute in 1998, Fox threatened to replace the six main voice actors with new actors, going as far as preparing for casting of new voices. The dispute, however, was resolved and Shearer received $125,000 per episode until 2004, when the voice actors demande... | 26,718 | [
"Until 1998, Shearer was paid $30,000 per episode. During a pay dispute in 1998, Fox threatened to replace the six main voice actors with new actors, going as far as preparing for casting of new voices. The dispute, however, was resolved and Shearer received $125,000 per episode until 2004, when the voice actors de... | [
"Until 1998, Shearer was paid $30,000 per episode. During a pay dispute in 1998, Fox threatened to replace the six main voice actors with new actors, going as far as preparing for casting of new voices. The dispute, however, was resolved and Shearer received $125,000 per episode until 2004, when the voice actors de... | [
1,
0.9893789887,
0.9888820648,
0.9880306721,
0.9869606495,
0.9869351387
] | [
4282,
4326,
4784,
4753,
768,
87
] | train |
[
{
"content": "Were there more artillery brigades or MRL regiments?",
"role": "user"
}
] | [
"artillery brigades"
] | In 2007, the Land Forces consisted of 29,600 soldiers (6th Guards Mechanised Brigade (Grodno), 11th Guards Mechanized Brigade at Slonim, the 120th Guards Mechanised Brigade (Minsk), 38th and 103rd Mobile Brigades (organized similarly to Soviet airborne regiments, not all of them are equipped with BMD-1), 5th Spetsnaz B... | 26,719 | [
"In 2007, the Land Forces consisted of 29,600 soldiers (6th Guards Mechanised Brigade (Grodno), 11th Guards Mechanized Brigade at Slonim, the 120th Guards Mechanised Brigade (Minsk), 38th and 103rd Mobile Brigades (organized similarly to Soviet airborne regiments, not all of them are equipped with BMD-1), 5th Spets... | [
"In 2007, the Land Forces consisted of 29,600 soldiers (6th Guards Mechanised Brigade (Grodno), 11th Guards Mechanized Brigade at Slonim, the 120th Guards Mechanised Brigade (Minsk), 38th and 103rd Mobile Brigades (organized similarly to Soviet airborne regiments, not all of them are equipped with BMD-1), 5th Spets... | [
0.9999999404,
0.990922451,
0.9908803701,
0.9908616543,
0.9907842875,
0.9905520082
] | [
4283,
453,
2959,
459,
2481,
3654
] | train |
[
{
"content": "Were there more SAM brigades or SSM brigades?",
"role": "user"
}
] | [
"SAM brigades"
] | In 2007, the Land Forces consisted of 29,600 soldiers (6th Guards Mechanised Brigade (Grodno), 11th Guards Mechanized Brigade at Slonim, the 120th Guards Mechanised Brigade (Minsk), 38th and 103rd Mobile Brigades (organized similarly to Soviet airborne regiments, not all of them are equipped with BMD-1), 5th Spetsnaz B... | 26,720 | [
"In 2007, the Land Forces consisted of 29,600 soldiers (6th Guards Mechanised Brigade (Grodno), 11th Guards Mechanized Brigade at Slonim, the 120th Guards Mechanised Brigade (Minsk), 38th and 103rd Mobile Brigades (organized similarly to Soviet airborne regiments, not all of them are equipped with BMD-1), 5th Spets... | [
"In 2007, the Land Forces consisted of 29,600 soldiers (6th Guards Mechanised Brigade (Grodno), 11th Guards Mechanized Brigade at Slonim, the 120th Guards Mechanised Brigade (Minsk), 38th and 103rd Mobile Brigades (organized similarly to Soviet airborne regiments, not all of them are equipped with BMD-1), 5th Spets... | [
0.9999999404,
0.990922451,
0.9908803701,
0.9908616543,
0.9907842875,
0.9905520082
] | [
4283,
453,
2959,
459,
2481,
3654
] | train |
[
{
"content": "Were there more independent NBC Brigades, or signals brigades?",
"role": "user"
}
] | [
"signals brigades"
] | In 2007, the Land Forces consisted of 29,600 soldiers (6th Guards Mechanised Brigade (Grodno), 11th Guards Mechanized Brigade at Slonim, the 120th Guards Mechanised Brigade (Minsk), 38th and 103rd Mobile Brigades (organized similarly to Soviet airborne regiments, not all of them are equipped with BMD-1), 5th Spetsnaz B... | 26,721 | [
"In 2007, the Land Forces consisted of 29,600 soldiers (6th Guards Mechanised Brigade (Grodno), 11th Guards Mechanized Brigade at Slonim, the 120th Guards Mechanised Brigade (Minsk), 38th and 103rd Mobile Brigades (organized similarly to Soviet airborne regiments, not all of them are equipped with BMD-1), 5th Spets... | [
"In 2007, the Land Forces consisted of 29,600 soldiers (6th Guards Mechanised Brigade (Grodno), 11th Guards Mechanized Brigade at Slonim, the 120th Guards Mechanised Brigade (Minsk), 38th and 103rd Mobile Brigades (organized similarly to Soviet airborne regiments, not all of them are equipped with BMD-1), 5th Spets... | [
0.9999999404,
0.990922451,
0.9908803701,
0.9908616543,
0.9907842875,
0.9905520082
] | [
4283,
453,
2959,
459,
2481,
3654
] | train |
[
{
"content": "Were there more main battle tanks,or AFV/APC?",
"role": "user"
}
] | [
"AFV/APC"
] | In 2007, the Land Forces consisted of 29,600 soldiers (6th Guards Mechanised Brigade (Grodno), 11th Guards Mechanized Brigade at Slonim, the 120th Guards Mechanised Brigade (Minsk), 38th and 103rd Mobile Brigades (organized similarly to Soviet airborne regiments, not all of them are equipped with BMD-1), 5th Spetsnaz B... | 26,722 | [
"In 2007, the Land Forces consisted of 29,600 soldiers (6th Guards Mechanised Brigade (Grodno), 11th Guards Mechanized Brigade at Slonim, the 120th Guards Mechanised Brigade (Minsk), 38th and 103rd Mobile Brigades (organized similarly to Soviet airborne regiments, not all of them are equipped with BMD-1), 5th Spets... | [
"In 2007, the Land Forces consisted of 29,600 soldiers (6th Guards Mechanised Brigade (Grodno), 11th Guards Mechanized Brigade at Slonim, the 120th Guards Mechanised Brigade (Minsk), 38th and 103rd Mobile Brigades (organized similarly to Soviet airborne regiments, not all of them are equipped with BMD-1), 5th Spets... | [
0.9999999404,
0.990922451,
0.9908803701,
0.9908616543,
0.9907842875,
0.9905520082
] | [
4283,
453,
2959,
459,
2481,
3654
] | train |
[
{
"content": "Which team scored in the fourth quarter?",
"role": "user"
}
] | [
"Buffalo"
] | Coming off their bye week and still looking for their first win, the Dolphins went home for an AFC East duel with the Buffalo Bills. In the first quarter, Miami struck first as kicker Jay Feely managed to get a 38-yard field goal for the only score of the period. In the third quarter, the Bills got on the board with... | 26,723 | [
" Coming off their bye week and still looking for their first win, the Dolphins went home for an AFC East duel with the Buffalo Bills. In the first quarter, Miami struck first as kicker Jay Feely managed to get a 38-yard field goal for the only score of the period. In the third quarter, the Bills got on the board... | [
" Coming off their bye week and still looking for their first win, the Dolphins went home for an AFC East duel with the Buffalo Bills. In the first quarter, Miami struck first as kicker Jay Feely managed to get a 38-yard field goal for the only score of the period. In the third quarter, the Bills got on the board... | [
0.9999999404,
0.9980800152,
0.9976876974,
0.997664094,
0.9973487258,
0.9973078966
] | [
4284,
3554,
2777,
2522,
1180,
1965
] | train |
[
{
"content": "Who scored the longest rushing touchdown?",
"role": "user"
}
] | [
"Cleo Lemon"
] | Coming off their bye week and still looking for their first win, the Dolphins went home for an AFC East duel with the Buffalo Bills. In the first quarter, Miami struck first as kicker Jay Feely managed to get a 38-yard field goal for the only score of the period. In the third quarter, the Bills got on the board with... | 26,724 | [
" Coming off their bye week and still looking for their first win, the Dolphins went home for an AFC East duel with the Buffalo Bills. In the first quarter, Miami struck first as kicker Jay Feely managed to get a 38-yard field goal for the only score of the period. In the third quarter, the Bills got on the board... | [
" Coming off their bye week and still looking for their first win, the Dolphins went home for an AFC East duel with the Buffalo Bills. In the first quarter, Miami struck first as kicker Jay Feely managed to get a 38-yard field goal for the only score of the period. In the third quarter, the Bills got on the board... | [
0.9999999404,
0.9980800152,
0.9976876974,
0.997664094,
0.9973487258,
0.9973078966
] | [
4284,
3554,
2777,
2522,
1180,
1965
] | train |
[
{
"content": "Which team scored a safety?",
"role": "user"
}
] | [
"Bills"
] | Coming off their bye week and still looking for their first win, the Dolphins went home for an AFC East duel with the Buffalo Bills. In the first quarter, Miami struck first as kicker Jay Feely managed to get a 38-yard field goal for the only score of the period. In the third quarter, the Bills got on the board with... | 26,725 | [
" Coming off their bye week and still looking for their first win, the Dolphins went home for an AFC East duel with the Buffalo Bills. In the first quarter, Miami struck first as kicker Jay Feely managed to get a 38-yard field goal for the only score of the period. In the third quarter, the Bills got on the board... | [
" Coming off their bye week and still looking for their first win, the Dolphins went home for an AFC East duel with the Buffalo Bills. In the first quarter, Miami struck first as kicker Jay Feely managed to get a 38-yard field goal for the only score of the period. In the third quarter, the Bills got on the board... | [
0.9999999404,
0.9980800152,
0.9976876974,
0.997664094,
0.9973487258,
0.9973078966
] | [
4284,
3554,
2777,
2522,
1180,
1965
] | train |
[
{
"content": "Which players made field goals longer than 33 yards?",
"role": "user"
}
] | [
"Rian Lindell"
] | Coming off their bye week and still looking for their first win, the Dolphins went home for an AFC East duel with the Buffalo Bills. In the first quarter, Miami struck first as kicker Jay Feely managed to get a 38-yard field goal for the only score of the period. In the third quarter, the Bills got on the board with... | 26,726 | [
" Coming off their bye week and still looking for their first win, the Dolphins went home for an AFC East duel with the Buffalo Bills. In the first quarter, Miami struck first as kicker Jay Feely managed to get a 38-yard field goal for the only score of the period. In the third quarter, the Bills got on the board... | [
" Coming off their bye week and still looking for their first win, the Dolphins went home for an AFC East duel with the Buffalo Bills. In the first quarter, Miami struck first as kicker Jay Feely managed to get a 38-yard field goal for the only score of the period. In the third quarter, the Bills got on the board... | [
0.9999999404,
0.9980800152,
0.9976876974,
0.997664094,
0.9973487258,
0.9973078966
] | [
4284,
3554,
2777,
2522,
1180,
1965
] | train |
[
{
"content": "Which players made field goals longer than 34 yards?",
"role": "user"
}
] | [
"Jay Feely"
] | Coming off their bye week and still looking for their first win, the Dolphins went home for an AFC East duel with the Buffalo Bills. In the first quarter, Miami struck first as kicker Jay Feely managed to get a 38-yard field goal for the only score of the period. In the third quarter, the Bills got on the board with... | 26,727 | [
" Coming off their bye week and still looking for their first win, the Dolphins went home for an AFC East duel with the Buffalo Bills. In the first quarter, Miami struck first as kicker Jay Feely managed to get a 38-yard field goal for the only score of the period. In the third quarter, the Bills got on the board... | [
" Coming off their bye week and still looking for their first win, the Dolphins went home for an AFC East duel with the Buffalo Bills. In the first quarter, Miami struck first as kicker Jay Feely managed to get a 38-yard field goal for the only score of the period. In the third quarter, the Bills got on the board... | [
0.9999999404,
0.9980800152,
0.9976876974,
0.997664094,
0.9973487258,
0.9973078966
] | [
4284,
3554,
2777,
2522,
1180,
1965
] | train |
[
{
"content": "Which player got the shortest TD run?",
"role": "user"
}
] | [
"Lynch"
] | Coming off their bye week and still looking for their first win, the Dolphins went home for an AFC East duel with the Buffalo Bills. In the first quarter, Miami struck first as kicker Jay Feely managed to get a 38-yard field goal for the only score of the period. In the third quarter, the Bills got on the board with... | 26,728 | [
" Coming off their bye week and still looking for their first win, the Dolphins went home for an AFC East duel with the Buffalo Bills. In the first quarter, Miami struck first as kicker Jay Feely managed to get a 38-yard field goal for the only score of the period. In the third quarter, the Bills got on the board... | [
" Coming off their bye week and still looking for their first win, the Dolphins went home for an AFC East duel with the Buffalo Bills. In the first quarter, Miami struck first as kicker Jay Feely managed to get a 38-yard field goal for the only score of the period. In the third quarter, the Bills got on the board... | [
0.9999999404,
0.9980800152,
0.9976876974,
0.997664094,
0.9973487258,
0.9973078966
] | [
4284,
3554,
2777,
2522,
1180,
1965
] | train |
[
{
"content": "Which player got the longest TD run?",
"role": "user"
}
] | [
"Lemon"
] | Coming off their bye week and still looking for their first win, the Dolphins went home for an AFC East duel with the Buffalo Bills. In the first quarter, Miami struck first as kicker Jay Feely managed to get a 38-yard field goal for the only score of the period. In the third quarter, the Bills got on the board with... | 26,729 | [
" Coming off their bye week and still looking for their first win, the Dolphins went home for an AFC East duel with the Buffalo Bills. In the first quarter, Miami struck first as kicker Jay Feely managed to get a 38-yard field goal for the only score of the period. In the third quarter, the Bills got on the board... | [
" Coming off their bye week and still looking for their first win, the Dolphins went home for an AFC East duel with the Buffalo Bills. In the first quarter, Miami struck first as kicker Jay Feely managed to get a 38-yard field goal for the only score of the period. In the third quarter, the Bills got on the board... | [
0.9999999404,
0.9980800152,
0.9976876974,
0.997664094,
0.9973487258,
0.9973078966
] | [
4284,
3554,
2777,
2522,
1180,
1965
] | train |
[
{
"content": "Which players caught touchdown passes of 60 or more yards?",
"role": "user"
}
] | [
"Nicks"
] | The winner of this Sunday Night showdown would assume first place in the NFC East (the Eagles outright, the Giants on tiebreakers). With two games against opponents with losing records approaching, it was crucial for the Giants to escape this one with a win. The Eagles started things off right away, putting 14 points ... | 26,730 | [
" The winner of this Sunday Night showdown would assume first place in the NFC East (the Eagles outright, the Giants on tiebreakers). With two games against opponents with losing records approaching, it was crucial for the Giants to escape this one with a win. The Eagles started things off right away, putting 14 po... | [
" The winner of this Sunday Night showdown would assume first place in the NFC East (the Eagles outright, the Giants on tiebreakers). With two games against opponents with losing records approaching, it was crucial for the Giants to escape this one with a win. The Eagles started things off right away, putting 14 po... | [
0.9999997616,
0.9999859929,
0.9919318557,
0.9918390512,
0.991517067,
0.9914525747
] | [
4285,
3893,
3392,
348,
3203,
3869
] | train |
[
{
"content": "Who threw the second longest pass leading to a touchdown?",
"role": "user"
}
] | [
"Manning"
] | The winner of this Sunday Night showdown would assume first place in the NFC East (the Eagles outright, the Giants on tiebreakers). With two games against opponents with losing records approaching, it was crucial for the Giants to escape this one with a win. The Eagles started things off right away, putting 14 points ... | 26,731 | [
" The winner of this Sunday Night showdown would assume first place in the NFC East (the Eagles outright, the Giants on tiebreakers). With two games against opponents with losing records approaching, it was crucial for the Giants to escape this one with a win. The Eagles started things off right away, putting 14 po... | [
" The winner of this Sunday Night showdown would assume first place in the NFC East (the Eagles outright, the Giants on tiebreakers). With two games against opponents with losing records approaching, it was crucial for the Giants to escape this one with a win. The Eagles started things off right away, putting 14 po... | [
0.9999997616,
0.9999859929,
0.9919318557,
0.9918390512,
0.991517067,
0.9914525747
] | [
4285,
3893,
3392,
348,
3203,
3869
] | train |
[
{
"content": "Which class saw success during the recession, middle- and lower-class or upper-class?",
"role": "user"
}
] | [
"upper-class"
] | Some economists have stated that Reagans policies were an important part of bringing about the third longest peacetime economic expansion in U.S. history. During the Reagan administration, real GDP growth averaged 3.5%, compared to 2.9% during the preceding eight years. The annual average unemployment rate declined b... | 26,732 | [
"Some economists have stated that Reagans policies were an important part of bringing about the third longest peacetime economic expansion in U.S. history. During the Reagan administration, real GDP growth averaged 3.5%, compared to 2.9% during the preceding eight years. The annual average unemployment rate decli... | [
"Some economists have stated that Reagans policies were an important part of bringing about the third longest peacetime economic expansion in U.S. history. During the Reagan administration, real GDP growth averaged 3.5%, compared to 2.9% during the preceding eight years. The annual average unemployment rate decli... | [
0.9999999404,
0.9914752841,
0.9912435412,
0.99093467,
0.9907459021,
0.9906337857
] | [
4286,
4425,
4664,
2859,
415,
4961
] | train |
[
{
"content": "Which class income growth rate slowed in 1982 during Reagan economic policies: middle, lower, or upper?",
"role": "user"
}
] | [
"middle"
] | Some economists have stated that Reagans policies were an important part of bringing about the third longest peacetime economic expansion in U.S. history. During the Reagan administration, real GDP growth averaged 3.5%, compared to 2.9% during the preceding eight years. The annual average unemployment rate declined b... | 26,733 | [
"Some economists have stated that Reagans policies were an important part of bringing about the third longest peacetime economic expansion in U.S. history. During the Reagan administration, real GDP growth averaged 3.5%, compared to 2.9% during the preceding eight years. The annual average unemployment rate decli... | [
"Some economists have stated that Reagans policies were an important part of bringing about the third longest peacetime economic expansion in U.S. history. During the Reagan administration, real GDP growth averaged 3.5%, compared to 2.9% during the preceding eight years. The annual average unemployment rate decli... | [
0.9999999404,
0.9914752841,
0.9912435412,
0.99093467,
0.9907459021,
0.9906337857
] | [
4286,
4425,
4664,
2859,
415,
4961
] | train |
[
{
"content": "Which age group was the most prevalent in the population?",
"role": "user"
}
] | [
"25 to 44"
] | Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years of a... | 26,734 | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
1.0000001192,
0.996556282,
0.9961481094,
0.9961317778,
0.9961299896,
0.9961067438
] | [
4287,
784,
2422,
274,
3271,
4593
] | train |
[
{
"content": "Were there more residents under 18 or over 65?",
"role": "user"
}
] | [
"under the age of 18"
] | Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years of a... | 26,735 | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
1.0000001192,
0.996556282,
0.9961481094,
0.9961317778,
0.9961299896,
0.9961067438
] | [
4287,
784,
2422,
274,
3271,
4593
] | train |
[
{
"content": "Were there more males or females?",
"role": "user"
}
] | [
"females"
] | Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years of a... | 26,736 | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
1.0000001192,
0.996556282,
0.9961481094,
0.9961317778,
0.9961299896,
0.9961067438
] | [
4287,
784,
2422,
274,
3271,
4593
] | train |
[
{
"content": "Were there more persons between the age of 18 to 24 or 45 to 64?",
"role": "user"
}
] | [
"45 to 64"
] | Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years of a... | 26,737 | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
1.0000001192,
0.996556282,
0.9961481094,
0.9961317778,
0.9961299896,
0.9961067438
] | [
4287,
784,
2422,
274,
3271,
4593
] | train |
[
{
"content": "what two age distributions had the highest percentage of the population?",
"role": "user"
}
] | [
"under the age of 18"
] | Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years of a... | 26,738 | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
1.0000001192,
0.996556282,
0.9961481094,
0.9961317778,
0.9961299896,
0.9961067438
] | [
4287,
784,
2422,
274,
3271,
4593
] | train |
[
{
"content": "What age range was the second lowest percentage of the population?",
"role": "user"
}
] | [
"65 years of age"
] | Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years of a... | 26,739 | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
1.0000001192,
0.996556282,
0.9961481094,
0.9961317778,
0.9961299896,
0.9961067438
] | [
4287,
784,
2422,
274,
3271,
4593
] | train |
[
{
"content": "What age range does the median age fall into?",
"role": "user"
}
] | [
"from 25 to 44"
] | Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years of a... | 26,740 | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
1.0000001192,
0.996556282,
0.9961481094,
0.9961317778,
0.9961299896,
0.9961067438
] | [
4287,
784,
2422,
274,
3271,
4593
] | train |
[
{
"content": "Which sex made up more of the population, males or females?",
"role": "user"
}
] | [
"females"
] | Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years of a... | 26,741 | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
1.0000001192,
0.996556282,
0.9961481094,
0.9961317778,
0.9961299896,
0.9961067438
] | [
4287,
784,
2422,
274,
3271,
4593
] | train |
[
{
"content": "Which age distribution groups in percent are larger than 20%?",
"role": "user"
}
] | [
"under the age of 18"
] | Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years of a... | 26,742 | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
1.0000001192,
0.996556282,
0.9961481094,
0.9961317778,
0.9961299896,
0.9961067438
] | [
4287,
784,
2422,
274,
3271,
4593
] | train |
[
{
"content": "Which gender group is larger: females or males?",
"role": "user"
}
] | [
"females"
] | Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years of a... | 26,743 | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
1.0000001192,
0.996556282,
0.9961481094,
0.9961317778,
0.9961299896,
0.9961067438
] | [
4287,
784,
2422,
274,
3271,
4593
] | train |
[
{
"content": "Which gender group is smaller: females or males?",
"role": "user"
}
] | [
"males"
] | Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years of a... | 26,744 | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
1.0000001192,
0.996556282,
0.9961481094,
0.9961317778,
0.9961299896,
0.9961067438
] | [
4287,
784,
2422,
274,
3271,
4593
] | train |
[
{
"content": "Which age group is larger: under the age of 18 or 18 to 24?",
"role": "user"
}
] | [
"under the age of 18"
] | Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years of a... | 26,745 | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
1.0000001192,
0.996556282,
0.9961481094,
0.9961317778,
0.9961299896,
0.9961067438
] | [
4287,
784,
2422,
274,
3271,
4593
] | train |
[
{
"content": "Which age group is smaller: under the age of 18 or 18 to 24?",
"role": "user"
}
] | [
"18 to 24"
] | Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years of a... | 26,746 | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
1.0000001192,
0.996556282,
0.9961481094,
0.9961317778,
0.9961299896,
0.9961067438
] | [
4287,
784,
2422,
274,
3271,
4593
] | train |
[
{
"content": "Which age group is larger: 25 to 44 or 45 to 64?",
"role": "user"
}
] | [
"25 to 44"
] | Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years of a... | 26,747 | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
1.0000001192,
0.996556282,
0.9961481094,
0.9961317778,
0.9961299896,
0.9961067438
] | [
4287,
784,
2422,
274,
3271,
4593
] | train |
[
{
"content": "Which age group is smaller: 25 to 44 or 45 to 64?",
"role": "user"
}
] | [
"45 to 64"
] | Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years of a... | 26,748 | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
1.0000001192,
0.996556282,
0.9961481094,
0.9961317778,
0.9961299896,
0.9961067438
] | [
4287,
784,
2422,
274,
3271,
4593
] | train |
[
{
"content": "Were there more households with children under 18 or married couples living together?",
"role": "user"
}
] | [
"children under 18"
] | Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years of a... | 26,749 | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
1.0000001192,
0.996556282,
0.9961481094,
0.9961317778,
0.9961299896,
0.9961067438
] | [
4287,
784,
2422,
274,
3271,
4593
] | train |
[
{
"content": "Did fewer households have someone aged 65 or older living alone or children under the age of 18 living with them?",
"role": "user"
}
] | [
"65 or older living alone"
] | Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years of a... | 26,750 | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
1.0000001192,
0.996556282,
0.9961481094,
0.9961317778,
0.9961299896,
0.9961067438
] | [
4287,
784,
2422,
274,
3271,
4593
] | train |
[
{
"content": "Which was larger the average family size or average household size?",
"role": "user"
}
] | [
"average family size"
] | Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years of a... | 26,751 | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
1.0000001192,
0.996556282,
0.9961481094,
0.9961317778,
0.9961299896,
0.9961067438
] | [
4287,
784,
2422,
274,
3271,
4593
] | train |
[
{
"content": "Were there fewer people under the age of 18 or between 18 to 24?",
"role": "user"
}
] | [
"18 to 24"
] | Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years of a... | 26,752 | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
1.0000001192,
0.996556282,
0.9961481094,
0.9961317778,
0.9961299896,
0.9961067438
] | [
4287,
784,
2422,
274,
3271,
4593
] | train |
[
{
"content": "Were there more people from 45 to 64 or aged 65 and older?",
"role": "user"
}
] | [
"45 to 64"
] | Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years of a... | 26,753 | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
1.0000001192,
0.996556282,
0.9961481094,
0.9961317778,
0.9961299896,
0.9961067438
] | [
4287,
784,
2422,
274,
3271,
4593
] | train |
[
{
"content": "Were there more females or males?",
"role": "user"
}
] | [
"females"
] | Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years of a... | 26,754 | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
1.0000001192,
0.996556282,
0.9961481094,
0.9961317778,
0.9961299896,
0.9961067438
] | [
4287,
784,
2422,
274,
3271,
4593
] | train |
[
{
"content": "Were there more people living as individuals or as married couples?",
"role": "user"
}
] | [
"individuals"
] | Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years of a... | 26,755 | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
1.0000001192,
0.996556282,
0.9961481094,
0.9961317778,
0.9961299896,
0.9961067438
] | [
4287,
784,
2422,
274,
3271,
4593
] | train |
[
{
"content": "Which was larger - the average household or the average family?",
"role": "user"
}
] | [
"average family"
] | Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years of a... | 26,756 | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
"Out of 190,638 households, 29.9% have children under the age of 18 living with them, 28.5% were married couples living together, 24.8% had a female householder with no husband present, and 41.3% were nonfamilies. 35.2% of all households were made up of individuals and 11.1% had someone living alone who is 65 years... | [
1.0000001192,
0.996556282,
0.9961481094,
0.9961317778,
0.9961299896,
0.9961067438
] | [
4287,
784,
2422,
274,
3271,
4593
] | train |
[
{
"content": "Which GDP growth was higher, 2007 or first quarter of 2008?",
"role": "user"
}
] | [
"first quarter of 2008"
] | Warsaw produces 12% of Polands national income, which in 2008 was 305.1% of the Polish average per capita (or 160% of the European Union average). The Nominal GDP per capita in Warsaw amounted to PLN 134,000 in 2015 (c. €31,200 or $74,400 in Purchasing Power Parity). Total nominal GDP of the city in 2010 amounted to 19... | 26,757 | [
"Warsaw produces 12% of Polands national income, which in 2008 was 305.1% of the Polish average per capita (or 160% of the European Union average). The Nominal GDP per capita in Warsaw amounted to PLN 134,000 in 2015 (c. €31,200 or $74,400 in Purchasing Power Parity). Total nominal GDP of the city in 2010 amounted ... | [
"Warsaw produces 12% of Polands national income, which in 2008 was 305.1% of the Polish average per capita (or 160% of the European Union average). The Nominal GDP per capita in Warsaw amounted to PLN 134,000 in 2015 (c. €31,200 or $74,400 in Purchasing Power Parity). Total nominal GDP of the city in 2010 amounted ... | [
0.9999998808,
0.992703259,
0.9916870594,
0.9912539721,
0.990416646,
0.9904037118
] | [
4288,
4345,
4567,
4808,
4843,
1392
] | train |
[
{
"content": "What two years had the same GDP growth?",
"role": "user"
}
] | [
"2006"
] | Warsaw produces 12% of Polands national income, which in 2008 was 305.1% of the Polish average per capita (or 160% of the European Union average). The Nominal GDP per capita in Warsaw amounted to PLN 134,000 in 2015 (c. €31,200 or $74,400 in Purchasing Power Parity). Total nominal GDP of the city in 2010 amounted to 19... | 26,758 | [
"Warsaw produces 12% of Polands national income, which in 2008 was 305.1% of the Polish average per capita (or 160% of the European Union average). The Nominal GDP per capita in Warsaw amounted to PLN 134,000 in 2015 (c. €31,200 or $74,400 in Purchasing Power Parity). Total nominal GDP of the city in 2010 amounted ... | [
"Warsaw produces 12% of Polands national income, which in 2008 was 305.1% of the Polish average per capita (or 160% of the European Union average). The Nominal GDP per capita in Warsaw amounted to PLN 134,000 in 2015 (c. €31,200 or $74,400 in Purchasing Power Parity). Total nominal GDP of the city in 2010 amounted ... | [
0.9999998808,
0.992703259,
0.9916870594,
0.9912539721,
0.990416646,
0.9904037118
] | [
4288,
4345,
4567,
4808,
4843,
1392
] | train |
[
{
"content": "Was Warsaw's GDP growth higher in 2007 or the first quarter of 2008?",
"role": "user"
}
] | [
"2007"
] | Warsaw produces 12% of Polands national income, which in 2008 was 305.1% of the Polish average per capita (or 160% of the European Union average). The Nominal GDP per capita in Warsaw amounted to PLN 134,000 in 2015 (c. €31,200 or $74,400 in Purchasing Power Parity). Total nominal GDP of the city in 2010 amounted to 19... | 26,759 | [
"Warsaw produces 12% of Polands national income, which in 2008 was 305.1% of the Polish average per capita (or 160% of the European Union average). The Nominal GDP per capita in Warsaw amounted to PLN 134,000 in 2015 (c. €31,200 or $74,400 in Purchasing Power Parity). Total nominal GDP of the city in 2010 amounted ... | [
"Warsaw produces 12% of Polands national income, which in 2008 was 305.1% of the Polish average per capita (or 160% of the European Union average). The Nominal GDP per capita in Warsaw amounted to PLN 134,000 in 2015 (c. €31,200 or $74,400 in Purchasing Power Parity). Total nominal GDP of the city in 2010 amounted ... | [
0.9999998808,
0.992703259,
0.9916870594,
0.9912539721,
0.990416646,
0.9904037118
] | [
4288,
4345,
4567,
4808,
4843,
1392
] | train |
[
{
"content": "Which quarterback threw the longest touchdown pass in the second quarter?",
"role": "user"
}
] | [
"Ryan Fitzpatrick"
] | Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bills r... | 26,760 | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
0.9999998808,
0.9987181425,
0.9983479381,
0.9981718063,
0.9979508519,
0.9978868961
] | [
4289,
196,
1533,
2380,
1243,
2993
] | train |
[
{
"content": "Which running back had the longest run in the second quarter?",
"role": "user"
}
] | [
"Fred Jackson"
] | Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bills r... | 26,761 | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
0.9999998808,
0.9987181425,
0.9983479381,
0.9981718063,
0.9979508519,
0.9978868961
] | [
4289,
196,
1533,
2380,
1243,
2993
] | train |
[
{
"content": "How many yards was the shortest touchdown pass?",
"role": "user"
}
] | [
"2-yard"
] | Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bills r... | 26,762 | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
0.9999998808,
0.9987181425,
0.9983479381,
0.9981718063,
0.9979508519,
0.9978868961
] | [
4289,
196,
1533,
2380,
1243,
2993
] | train |
[
{
"content": "How many yards was the shortest touchdown run?",
"role": "user"
}
] | [
"1-yard"
] | Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bills r... | 26,763 | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
0.9999998808,
0.9987181425,
0.9983479381,
0.9981718063,
0.9979508519,
0.9978868961
] | [
4289,
196,
1533,
2380,
1243,
2993
] | train |
[
{
"content": "What team scored the first touchdown of the game?",
"role": "user"
}
] | [
"Chicago"
] | Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bills r... | 26,764 | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
0.9999998808,
0.9987181425,
0.9983479381,
0.9981718063,
0.9979508519,
0.9978868961
] | [
4289,
196,
1533,
2380,
1243,
2993
] | train |
[
{
"content": "Which player threw the first touchdown pass of the game?",
"role": "user"
}
] | [
"Jay Cutler"
] | Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bills r... | 26,765 | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
0.9999998808,
0.9987181425,
0.9983479381,
0.9981718063,
0.9979508519,
0.9978868961
] | [
4289,
196,
1533,
2380,
1243,
2993
] | train |
[
{
"content": "Which player caught the final interception of the game?",
"role": "user"
}
] | [
"Tim Jennings"
] | Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bills r... | 26,766 | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
0.9999998808,
0.9987181425,
0.9983479381,
0.9981718063,
0.9979508519,
0.9978868961
] | [
4289,
196,
1533,
2380,
1243,
2993
] | train |
[
{
"content": "Which players threw touchdown passes longer than 2 yards?",
"role": "user"
}
] | [
"Jay Cutler"
] | Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bills r... | 26,767 | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
0.9999998808,
0.9987181425,
0.9983479381,
0.9981718063,
0.9979508519,
0.9978868961
] | [
4289,
196,
1533,
2380,
1243,
2993
] | train |
[
{
"content": "What are the top two longest touchdown passes made?",
"role": "user"
}
] | [
"14-yard"
] | Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bills r... | 26,768 | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
0.9999998808,
0.9987181425,
0.9983479381,
0.9981718063,
0.9979508519,
0.9978868961
] | [
4289,
196,
1533,
2380,
1243,
2993
] | train |
[
{
"content": "Which player had the first touchdown run?",
"role": "user"
}
] | [
"Chester Taylor"
] | Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bills r... | 26,769 | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
0.9999998808,
0.9987181425,
0.9983479381,
0.9981718063,
0.9979508519,
0.9978868961
] | [
4289,
196,
1533,
2380,
1243,
2993
] | train |
[
{
"content": "Which player scored the last touchdown?",
"role": "user"
}
] | [
"Earl Bennett"
] | Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bills r... | 26,770 | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
0.9999998808,
0.9987181425,
0.9983479381,
0.9981718063,
0.9979508519,
0.9978868961
] | [
4289,
196,
1533,
2380,
1243,
2993
] | train |
[
{
"content": "Which player caught the first touchdown of the game?",
"role": "user"
}
] | [
"Greg Olsen"
] | Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bills r... | 26,771 | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
0.9999998808,
0.9987181425,
0.9983479381,
0.9981718063,
0.9979508519,
0.9978868961
] | [
4289,
196,
1533,
2380,
1243,
2993
] | train |
[
{
"content": "How many 1 yard touchdown runs were scored in the game?",
"role": "user"
}
] | [
"2"
] | Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bills r... | 26,772 | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
0.9999998808,
0.9987181425,
0.9983479381,
0.9981718063,
0.9979508519,
0.9978868961
] | [
4289,
196,
1533,
2380,
1243,
2993
] | train |
[
{
"content": "Which player sealed the win for the Bears?",
"role": "user"
}
] | [
"Tim Jennings"
] | Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bills r... | 26,773 | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
" Coming off their bye week, the Bears flew to the Rogers Centre for their Week 9 interconference duel with the winless Buffalo Bills. After a scoreless first quarter, Chicago delivered the opening strike in the second quarter as quarterback Jay Cutler found tight end Greg Olsen on a 4-yard touchdown pass. The Bi... | [
0.9999998808,
0.9987181425,
0.9983479381,
0.9981718063,
0.9979508519,
0.9978868961
] | [
4289,
196,
1533,
2380,
1243,
2993
] | train |
[
{
"content": "Were there more Asians or Native Americans in Stanislaus County in 2010?",
"role": "user"
}
] | [
"Asian"
] | The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% Filipi... | 26,774 | [
"The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% F... | [
"The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% F... | [
0.9999998808,
0.9990714788,
0.9990580678,
0.9987837076,
0.9953884482,
0.9950335026
] | [
4290,
4552,
1867,
3923,
4712,
123
] | train |
[
{
"content": "Are more Hispanics in Stanislaus County Mexican, Puerto Rican, or Guatemalan?",
"role": "user"
}
] | [
"Mexican"
] | The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% Filipi... | 26,775 | [
"The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% F... | [
"The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% F... | [
0.9999998808,
0.9990714788,
0.9990580678,
0.9987837076,
0.9953884482,
0.9950335026
] | [
4290,
4552,
1867,
3923,
4712,
123
] | train |
[
{
"content": "Were there more African American or Native Americans?",
"role": "user"
}
] | [
"African American"
] | The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% Filipi... | 26,776 | [
"The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% F... | [
"The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% F... | [
0.9999998808,
0.9990714788,
0.9990580678,
0.9987837076,
0.9953884482,
0.9950335026
] | [
4290,
4552,
1867,
3923,
4712,
123
] | train |
[
{
"content": "Which racial groups made up the top two in the county?",
"role": "user"
}
] | [
"White"
] | The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% Filipi... | 26,777 | [
"The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% F... | [
"The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% F... | [
0.9999998808,
0.9990714788,
0.9990580678,
0.9987837076,
0.9953884482,
0.9950335026
] | [
4290,
4552,
1867,
3923,
4712,
123
] | train |
[
{
"content": "Were there more African Americans or Native Americans in the county?",
"role": "user"
}
] | [
"African American"
] | The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% Filipi... | 26,778 | [
"The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% F... | [
"The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% F... | [
0.9999998808,
0.9990714788,
0.9990580678,
0.9987837076,
0.9953884482,
0.9950335026
] | [
4290,
4552,
1867,
3923,
4712,
123
] | train |
[
{
"content": "Which groups made up between 2% and 5% of the population?",
"role": "user"
}
] | [
"African American"
] | The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% Filipi... | 26,779 | [
"The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% F... | [
"The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% F... | [
0.9999998808,
0.9990714788,
0.9990580678,
0.9987837076,
0.9953884482,
0.9950335026
] | [
4290,
4552,
1867,
3923,
4712,
123
] | train |
[
{
"content": "Of the group considered Asian, what was the largest subgroup?",
"role": "user"
}
] | [
"Indian"
] | The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% Filipi... | 26,780 | [
"The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% F... | [
"The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% F... | [
0.9999998808,
0.9990714788,
0.9990580678,
0.9987837076,
0.9953884482,
0.9950335026
] | [
4290,
4552,
1867,
3923,
4712,
123
] | train |
[
{
"content": "Of the group considered Asian, what was the smallest subgroup?",
"role": "user"
}
] | [
"Cambodian"
] | The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% Filipi... | 26,781 | [
"The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% F... | [
"The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% F... | [
0.9999998808,
0.9990714788,
0.9990580678,
0.9987837076,
0.9953884482,
0.9950335026
] | [
4290,
4552,
1867,
3923,
4712,
123
] | train |
[
{
"content": "Were there fewer people in the county that were Salvadoran or Nicaraguan?",
"role": "user"
}
] | [
"Nicaraguan"
] | The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% Filipi... | 26,782 | [
"The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% F... | [
"The 2010 United States Census reported that Stanislaus County had a population of 514,453. The racial makeup of Stanislaus County was 337,342 (65.6%) White (U.S. Census), 14,721 (2.9%) African American (U.S. Census), 5,902 (1.1%) Native American (U.S. Census), 26,090 (5.1%) Asian (U.S. Census) (1.5% Indian, 1.1% F... | [
0.9999998808,
0.9990714788,
0.9990580678,
0.9987837076,
0.9953884482,
0.9950335026
] | [
4290,
4552,
1867,
3923,
4712,
123
] | train |
[
{
"content": "Which group from cantons population in 2002 is larger: Bosniak or Serb?",
"role": "user"
}
] | [
"Bosniak"
] | The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of "Europes Jerusalem". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 percent Bosn... | 26,783 | [
"The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of \"Europes Jerusalem\". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 perce... | [
"The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of \"Europes Jerusalem\". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 perce... | [
1.0000001192,
0.9912648201,
0.9911522865,
0.9910863638,
0.9910214543,
0.9910184145
] | [
4291,
4307,
4931,
4586,
681,
755
] | train |
[
{
"content": "Which group from cantons population in 2002 is smaller: Bosniak or Serb?",
"role": "user"
}
] | [
"Serb"
] | The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of "Europes Jerusalem". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 percent Bosn... | 26,784 | [
"The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of \"Europes Jerusalem\". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 perce... | [
"The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of \"Europes Jerusalem\". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 perce... | [
1.0000001192,
0.9912648201,
0.9911522865,
0.9910863638,
0.9910214543,
0.9910184145
] | [
4291,
4307,
4931,
4586,
681,
755
] | train |
[
{
"content": "Which group from cantons population in 2002 is larger: Bosniak or Croat?",
"role": "user"
}
] | [
"Bosniak"
] | The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of "Europes Jerusalem". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 percent Bosn... | 26,785 | [
"The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of \"Europes Jerusalem\". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 perce... | [
"The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of \"Europes Jerusalem\". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 perce... | [
1.0000001192,
0.9912648201,
0.9911522865,
0.9910863638,
0.9910214543,
0.9910184145
] | [
4291,
4307,
4931,
4586,
681,
755
] | train |
[
{
"content": "Which group from cantons population in 2002 is smaller: Bosniak or Croat?",
"role": "user"
}
] | [
"Croat"
] | The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of "Europes Jerusalem". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 percent Bosn... | 26,786 | [
"The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of \"Europes Jerusalem\". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 perce... | [
"The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of \"Europes Jerusalem\". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 perce... | [
1.0000001192,
0.9912648201,
0.9911522865,
0.9910863638,
0.9910214543,
0.9910184145
] | [
4291,
4307,
4931,
4586,
681,
755
] | train |
[
{
"content": "Which group from cantons population in 2002 is larger: Serb or Croat?",
"role": "user"
}
] | [
"Serb"
] | The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of "Europes Jerusalem". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 percent Bosn... | 26,787 | [
"The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of \"Europes Jerusalem\". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 perce... | [
"The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of \"Europes Jerusalem\". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 perce... | [
1.0000001192,
0.9912648201,
0.9911522865,
0.9910863638,
0.9910214543,
0.9910184145
] | [
4291,
4307,
4931,
4586,
681,
755
] | train |
[
{
"content": "Which group from cantons population in 2002 is smaller: Serb or Croat?",
"role": "user"
}
] | [
"Croat"
] | The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of "Europes Jerusalem". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 percent Bosn... | 26,788 | [
"The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of \"Europes Jerusalem\". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 perce... | [
"The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of \"Europes Jerusalem\". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 perce... | [
1.0000001192,
0.9912648201,
0.9911522865,
0.9910863638,
0.9910214543,
0.9910184145
] | [
4291,
4307,
4931,
4586,
681,
755
] | train |
[
{
"content": "What group made up the smallest percent of the population in 1991?",
"role": "user"
}
] | [
"other ethnicities"
] | The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of "Europes Jerusalem". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 percent Bosn... | 26,789 | [
"The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of \"Europes Jerusalem\". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 perce... | [
"The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of \"Europes Jerusalem\". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 perce... | [
1.0000001192,
0.9912648201,
0.9911522865,
0.9910863638,
0.9910214543,
0.9910184145
] | [
4291,
4307,
4931,
4586,
681,
755
] | train |
[
{
"content": "Which group increased less in their percentage of the population from 1991 to 2002, Bosniaks or Croats?",
"role": "user"
}
] | [
"Croats"
] | The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of "Europes Jerusalem". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 percent Bosn... | 26,790 | [
"The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of \"Europes Jerusalem\". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 perce... | [
"The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of \"Europes Jerusalem\". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 perce... | [
1.0000001192,
0.9912648201,
0.9911522865,
0.9910863638,
0.9910214543,
0.9910184145
] | [
4291,
4307,
4931,
4586,
681,
755
] | train |
[
{
"content": "In 2002, which groups each individually made up between 5 to 12% of the city's population?",
"role": "user"
}
] | [
"Serb"
] | The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of "Europes Jerusalem". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 percent Bosn... | 26,791 | [
"The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of \"Europes Jerusalem\". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 perce... | [
"The war changed the ethnic and religious profile of the city. It had long been a multicultural city, and often went by the nickname of \"Europes Jerusalem\". At the time of the 1991 census, 49.2 per cent of the citys population of 527,049 were Bosniaks, 29.8 percent Bosnian Serbs, 10.7 percent Yugoslavs, 6.6 perce... | [
1.0000001192,
0.9912648201,
0.9911522865,
0.9910863638,
0.9910214543,
0.9910184145
] | [
4291,
4307,
4931,
4586,
681,
755
] | train |
[
{
"content": "How many yards was the longest field goal?",
"role": "user"
}
] | [
"52-yard"
] | Coming off their overtime win to the Falcons, the Giants flew for a Week 12 interconference game against the Denver Broncos, their first Thanksgiving game since 1992. In the first quarter the Giants trailed early with kicker Matt Prater making a 26-yard field goal and then a 32-yard field goal in the second quarter. T... | 26,792 | [
" Coming off their overtime win to the Falcons, the Giants flew for a Week 12 interconference game against the Denver Broncos, their first Thanksgiving game since 1992. In the first quarter the Giants trailed early with kicker Matt Prater making a 26-yard field goal and then a 32-yard field goal in the second quart... | [
" Coming off their overtime win to the Falcons, the Giants flew for a Week 12 interconference game against the Denver Broncos, their first Thanksgiving game since 1992. In the first quarter the Giants trailed early with kicker Matt Prater making a 26-yard field goal and then a 32-yard field goal in the second quart... | [
1,
0.9977962375,
0.9977273941,
0.997628808,
0.9975812435,
0.9975489378
] | [
4292,
1625,
407,
1891,
27,
3850
] | train |
[
{
"content": "How many yards was the shortest field goal?",
"role": "user"
}
] | [
"24-yard"
] | Coming off their overtime win to the Falcons, the Giants flew for a Week 12 interconference game against the Denver Broncos, their first Thanksgiving game since 1992. In the first quarter the Giants trailed early with kicker Matt Prater making a 26-yard field goal and then a 32-yard field goal in the second quarter. T... | 26,793 | [
" Coming off their overtime win to the Falcons, the Giants flew for a Week 12 interconference game against the Denver Broncos, their first Thanksgiving game since 1992. In the first quarter the Giants trailed early with kicker Matt Prater making a 26-yard field goal and then a 32-yard field goal in the second quart... | [
" Coming off their overtime win to the Falcons, the Giants flew for a Week 12 interconference game against the Denver Broncos, their first Thanksgiving game since 1992. In the first quarter the Giants trailed early with kicker Matt Prater making a 26-yard field goal and then a 32-yard field goal in the second quart... | [
1,
0.9977962375,
0.9977273941,
0.997628808,
0.9975812435,
0.9975489378
] | [
4292,
1625,
407,
1891,
27,
3850
] | train |
[
{
"content": "What team scored the last touchdown of the game?",
"role": "user"
}
] | [
"Broncos"
] | Coming off their overtime win to the Falcons, the Giants flew for a Week 12 interconference game against the Denver Broncos, their first Thanksgiving game since 1992. In the first quarter the Giants trailed early with kicker Matt Prater making a 26-yard field goal and then a 32-yard field goal in the second quarter. T... | 26,794 | [
" Coming off their overtime win to the Falcons, the Giants flew for a Week 12 interconference game against the Denver Broncos, their first Thanksgiving game since 1992. In the first quarter the Giants trailed early with kicker Matt Prater making a 26-yard field goal and then a 32-yard field goal in the second quart... | [
" Coming off their overtime win to the Falcons, the Giants flew for a Week 12 interconference game against the Denver Broncos, their first Thanksgiving game since 1992. In the first quarter the Giants trailed early with kicker Matt Prater making a 26-yard field goal and then a 32-yard field goal in the second quart... | [
1,
0.9977962375,
0.9977273941,
0.997628808,
0.9975812435,
0.9975489378
] | [
4292,
1625,
407,
1891,
27,
3850
] | train |
[
{
"content": "What team scored the first touchdown of the game?",
"role": "user"
}
] | [
"Broncos"
] | Coming off their overtime win to the Falcons, the Giants flew for a Week 12 interconference game against the Denver Broncos, their first Thanksgiving game since 1992. In the first quarter the Giants trailed early with kicker Matt Prater making a 26-yard field goal and then a 32-yard field goal in the second quarter. T... | 26,795 | [
" Coming off their overtime win to the Falcons, the Giants flew for a Week 12 interconference game against the Denver Broncos, their first Thanksgiving game since 1992. In the first quarter the Giants trailed early with kicker Matt Prater making a 26-yard field goal and then a 32-yard field goal in the second quart... | [
" Coming off their overtime win to the Falcons, the Giants flew for a Week 12 interconference game against the Denver Broncos, their first Thanksgiving game since 1992. In the first quarter the Giants trailed early with kicker Matt Prater making a 26-yard field goal and then a 32-yard field goal in the second quart... | [
1,
0.9977962375,
0.9977273941,
0.997628808,
0.9975812435,
0.9975489378
] | [
4292,
1625,
407,
1891,
27,
3850
] | train |
[
{
"content": "How long were the two longest field goals?",
"role": "user"
}
] | [
"52-yard"
] | Coming off their overtime win to the Falcons, the Giants flew for a Week 12 interconference game against the Denver Broncos, their first Thanksgiving game since 1992. In the first quarter the Giants trailed early with kicker Matt Prater making a 26-yard field goal and then a 32-yard field goal in the second quarter. T... | 26,796 | [
" Coming off their overtime win to the Falcons, the Giants flew for a Week 12 interconference game against the Denver Broncos, their first Thanksgiving game since 1992. In the first quarter the Giants trailed early with kicker Matt Prater making a 26-yard field goal and then a 32-yard field goal in the second quart... | [
" Coming off their overtime win to the Falcons, the Giants flew for a Week 12 interconference game against the Denver Broncos, their first Thanksgiving game since 1992. In the first quarter the Giants trailed early with kicker Matt Prater making a 26-yard field goal and then a 32-yard field goal in the second quart... | [
1,
0.9977962375,
0.9977273941,
0.997628808,
0.9975812435,
0.9975489378
] | [
4292,
1625,
407,
1891,
27,
3850
] | train |
[
{
"content": "How long were each of Matt Prater's two shortest field goals?",
"role": "user"
}
] | [
"24-yard"
] | Coming off their overtime win to the Falcons, the Giants flew for a Week 12 interconference game against the Denver Broncos, their first Thanksgiving game since 1992. In the first quarter the Giants trailed early with kicker Matt Prater making a 26-yard field goal and then a 32-yard field goal in the second quarter. T... | 26,797 | [
" Coming off their overtime win to the Falcons, the Giants flew for a Week 12 interconference game against the Denver Broncos, their first Thanksgiving game since 1992. In the first quarter the Giants trailed early with kicker Matt Prater making a 26-yard field goal and then a 32-yard field goal in the second quart... | [
" Coming off their overtime win to the Falcons, the Giants flew for a Week 12 interconference game against the Denver Broncos, their first Thanksgiving game since 1992. In the first quarter the Giants trailed early with kicker Matt Prater making a 26-yard field goal and then a 32-yard field goal in the second quart... | [
1,
0.9977962375,
0.9977273941,
0.997628808,
0.9975812435,
0.9975489378
] | [
4292,
1625,
407,
1891,
27,
3850
] | train |
[
{
"content": "How long were each of Matt Prater's first half field goals?",
"role": "user"
}
] | [
"26-yard"
] | Coming off their overtime win to the Falcons, the Giants flew for a Week 12 interconference game against the Denver Broncos, their first Thanksgiving game since 1992. In the first quarter the Giants trailed early with kicker Matt Prater making a 26-yard field goal and then a 32-yard field goal in the second quarter. T... | 26,798 | [
" Coming off their overtime win to the Falcons, the Giants flew for a Week 12 interconference game against the Denver Broncos, their first Thanksgiving game since 1992. In the first quarter the Giants trailed early with kicker Matt Prater making a 26-yard field goal and then a 32-yard field goal in the second quart... | [
" Coming off their overtime win to the Falcons, the Giants flew for a Week 12 interconference game against the Denver Broncos, their first Thanksgiving game since 1992. In the first quarter the Giants trailed early with kicker Matt Prater making a 26-yard field goal and then a 32-yard field goal in the second quart... | [
1,
0.9977962375,
0.9977273941,
0.997628808,
0.9975812435,
0.9975489378
] | [
4292,
1625,
407,
1891,
27,
3850
] | train |
[
{
"content": "Who threw the most interceptions?",
"role": "user"
}
] | [
"Pennington"
] | The first quarter was all about defense, as the teams traded punts until the Jets got the ball late in the first quarter at their own 24-yard line. On the drive, Chad Pennington converted key third downs to Brad Smith and Tim Dwight, and was soon faced with a 3rd-and-goal at the Bears' 6-yard line. Apparently unable t... | 26,799 | [
" The first quarter was all about defense, as the teams traded punts until the Jets got the ball late in the first quarter at their own 24-yard line. On the drive, Chad Pennington converted key third downs to Brad Smith and Tim Dwight, and was soon faced with a 3rd-and-goal at the Bears' 6-yard line. Apparently una... | [
" The first quarter was all about defense, as the teams traded punts until the Jets got the ball late in the first quarter at their own 24-yard line. On the drive, Chad Pennington converted key third downs to Brad Smith and Tim Dwight, and was soon faced with a 3rd-and-goal at the Bears' 6-yard line. Apparently una... | [
1,
0.9958569407,
0.9950937033,
0.9946995974,
0.9946959019,
0.9943577647
] | [
4293,
2773,
734,
1557,
1939,
494
] | train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.