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": "What percentage was the United States success rate with thermal countermeasures?",
"role": "user"
}
] | [
"23%"
] | The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and the fu... | 27,100 | [
"The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and t... | [
"The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and t... | [
0.9999999404,
0.9903936386,
0.9888105392,
0.9876003861,
0.9870753288,
0.9868115187
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2378
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[
{
"content": "What all heat-seeking missiles were used in the Vietnam War?",
"role": "user"
}
] | [
"AIM-4 Falcon"
] | The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and the fu... | 27,101 | [
"The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and t... | [
"The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and t... | [
0.9999999404,
0.9903936386,
0.9888105392,
0.9876003861,
0.9870753288,
0.9868115187
] | [
4368,
4267,
3176,
4426,
1836,
2378
] | train |
[
{
"content": "What all methods did Isreal score kills in the Yom Kippur War?",
"role": "user"
}
] | [
"heat-seeking missiles"
] | The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and the fu... | 27,102 | [
"The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and t... | [
"The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and t... | [
0.9999999404,
0.9903936386,
0.9888105392,
0.9876003861,
0.9870753288,
0.9868115187
] | [
4368,
4267,
3176,
4426,
1836,
2378
] | train |
[
{
"content": "When was the effectiveness of heat-seeking missiles better, early in the Vietnam war or over the course of the war?",
"role": "user"
}
] | [
"over the course of"
] | The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and the fu... | 27,103 | [
"The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and t... | [
"The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and t... | [
0.9999999404,
0.9903936386,
0.9888105392,
0.9876003861,
0.9870753288,
0.9868115187
] | [
4368,
4267,
3176,
4426,
1836,
2378
] | train |
[
{
"content": "Which missile achieved higher kill rates, the AIM-9B or the AIM-9D?",
"role": "user"
}
] | [
"AIM-9D"
] | The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and the fu... | 27,104 | [
"The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and t... | [
"The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and t... | [
0.9999999404,
0.9903936386,
0.9888105392,
0.9876003861,
0.9870753288,
0.9868115187
] | [
4368,
4267,
3176,
4426,
1836,
2378
] | train |
[
{
"content": "Which war were more kills achieved, The Six-Day War or the Yom Kippur War?",
"role": "user"
}
] | [
"Yom Kippur War"
] | The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and the fu... | 27,105 | [
"The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and t... | [
"The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and t... | [
0.9999999404,
0.9903936386,
0.9888105392,
0.9876003861,
0.9870753288,
0.9868115187
] | [
4368,
4267,
3176,
4426,
1836,
2378
] | train |
[
{
"content": "Which war occurred first, the Yom Kippur War or the Falklands War?",
"role": "user"
}
] | [
"Yom Kippur War"
] | The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and the fu... | 27,106 | [
"The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and t... | [
"The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and t... | [
0.9999999404,
0.9903936386,
0.9888105392,
0.9876003861,
0.9870753288,
0.9868115187
] | [
4368,
4267,
3176,
4426,
1836,
2378
] | train |
[
{
"content": "Which weapon used in the Yom Kippur War achieved more kills, heat-seeking missiles or radar guided missiles?",
"role": "user"
}
] | [
"heat-seeking missiles"
] | The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and the fu... | 27,107 | [
"The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and t... | [
"The effectiveness of heat-seeking missiles was only 7% early in the Vietnam War, but improved to approximately 15%–40% over the course of the war. The AIM-4 Falcon used by the USAF had kill rates of approximately 7% and was considered a failure. The AIM-9B Sidewinder introduced later achieved 15% kill rates, and t... | [
0.9999999404,
0.9903936386,
0.9888105392,
0.9876003861,
0.9870753288,
0.9868115187
] | [
4368,
4267,
3176,
4426,
1836,
2378
] | train |
[
{
"content": "Which age group had the most people?",
"role": "user"
}
] | [
"25 to 44"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,108 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group had the second most people?",
"role": "user"
}
] | [
"under the age of 18"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,109 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group had the third most people?",
"role": "user"
}
] | [
"45 to 64"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,110 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group had the fourth most people?",
"role": "user"
}
] | [
"65 years of age"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,111 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which gender group is larger: females or males?",
"role": "user"
}
] | [
"females"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,112 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which gender group is smaller: females or males?",
"role": "user"
}
] | [
"males"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,113 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group is larger: under the age of 18 or 18 to 24?",
"role": "user"
}
] | [
"under the age of 18"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,114 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group is smaller: under the age of 18 or 18 to 24?",
"role": "user"
}
] | [
"18 to 24"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,115 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group is larger: 25 to 44 or 45 to 64?",
"role": "user"
}
] | [
"25 to 44"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,116 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group is smaller: 25 to 44 or 45 to 64?",
"role": "user"
}
] | [
"45 to 64"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,117 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group is larger: under the age of 18 or 65 years of age or older?",
"role": "user"
}
] | [
"under the age of 18"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,118 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which groups in percent are larger than 12%?",
"role": "user"
}
] | [
"under the age of 18"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,119 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which gender group is larger: females or males?",
"role": "user"
}
] | [
"females"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,120 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which gender group is smaller: females or males?",
"role": "user"
}
] | [
"males"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,121 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group is larger: under the age of 18 or 18 to 24?",
"role": "user"
}
] | [
"under the age of 18"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,122 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group is smaller: under the age of 18 or 18 to 24?",
"role": "user"
}
] | [
"18 to 24"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,123 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group is larger: 25 to 44 or 45 to 64?",
"role": "user"
}
] | [
"25 to 44"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,124 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group is smaller: 25 to 44 or 45 to 64?",
"role": "user"
}
] | [
"45 to 64"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,125 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which groups in percent are larger than 12%?",
"role": "user"
}
] | [
"under the age of 18"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,126 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which gender group is larger: females or males?",
"role": "user"
}
] | [
"females"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,127 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which gender group is smaller: females or males?",
"role": "user"
}
] | [
"males"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,128 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group is larger: under the age of 18 or 18 to 24?",
"role": "user"
}
] | [
"under the age of 18"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,129 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group is smaller: under the age of 18 or 18 to 24?",
"role": "user"
}
] | [
"18 to 24"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,130 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group is larger: 25 to 44 or 45 to 64?",
"role": "user"
}
] | [
"25 to 44"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,131 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group is smaller: 25 to 44 or 45 to 64?",
"role": "user"
}
] | [
"45 to 64"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,132 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which groups in percent are larger than 13%?",
"role": "user"
}
] | [
"under the age of 18"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,133 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which gender group is larger: females or males?",
"role": "user"
}
] | [
"females"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,134 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which gender group is smaller: females or males?",
"role": "user"
}
] | [
"males"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,135 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group is larger: under the age of 18 or 18 to 24?",
"role": "user"
}
] | [
"under the age of 18"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,136 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group is smaller: under the age of 18 or 18 to 24?",
"role": "user"
}
] | [
"18 to 24"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,137 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group is larger: 25 to 44 or 45 to 64?",
"role": "user"
}
] | [
"25 to 44"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,138 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group is smaller: 25 to 44 or 45 to 64?",
"role": "user"
}
] | [
"45 to 64"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,139 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which groups in percent are larger than 25%?",
"role": "user"
}
] | [
"under the age of 18"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,140 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which gender group is larger: females or males?",
"role": "user"
}
] | [
"females"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,141 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which gender group is smaller: females or males?",
"role": "user"
}
] | [
"males"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,142 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group is larger: under the age of 18 or 18 to 24?",
"role": "user"
}
] | [
"under the age of 18"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,143 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group is smaller: under the age of 18 or 18 to 24?",
"role": "user"
}
] | [
"18 to 24"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,144 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group is larger: 25 to 44 or 45 to 64?",
"role": "user"
}
] | [
"25 to 44"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,145 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group is smaller: 25 to 44 or 45 to 64?",
"role": "user"
}
] | [
"45 to 64"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,146 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group had the most people?",
"role": "user"
}
] | [
"25 to 44"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,147 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group had the least people?",
"role": "user"
}
] | [
"18 to 24"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,148 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group had the second most people?",
"role": "user"
}
] | [
"under the age of 18"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,149 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Which age group had the third most people?",
"role": "user"
}
] | [
"45 to 64"
] | In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, there w... | 27,150 | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
"In the county, the age distribution of the population shows 27.90% under the age of 18, 6.80% from 18 to 24, 31.60% from 25 to 44, 23.70% from 45 to 64, and 10.10% who were 65 years of age or older. The median age was 36 years. For every 100 females there were 96.00 males. For every 100 females age 18 and over, th... | [
1.0000001192,
0.9986934662,
0.9985594749,
0.9985373616,
0.9984446764,
0.9984152317
] | [
4369,
2895,
40,
3677,
2524,
2813
] | train |
[
{
"content": "Did the male or female population have a higher literacy rate in 1991?",
"role": "user"
}
] | [
"male"
] | In recent decades, the literacy rate of Rajasthan has increased significantly. In 1991, the states literacy rate was only 38.55% (54.99% male and 20.44% female). In 2001, the literacy rate increased to 60.41% (75.70% male and 43.85% female). This was the highest leap in the percentage of literacy recorded in India (the... | 27,151 | [
"In recent decades, the literacy rate of Rajasthan has increased significantly. In 1991, the states literacy rate was only 38.55% (54.99% male and 20.44% female). In 2001, the literacy rate increased to 60.41% (75.70% male and 43.85% female). This was the highest leap in the percentage of literacy recorded in India... | [
"In recent decades, the literacy rate of Rajasthan has increased significantly. In 1991, the states literacy rate was only 38.55% (54.99% male and 20.44% female). In 2001, the literacy rate increased to 60.41% (75.70% male and 43.85% female). This was the highest leap in the percentage of literacy recorded in India... | [
0.9999997616,
0.9931011796,
0.9930752516,
0.992000401,
0.9918915033,
0.9918116331
] | [
4370,
4671,
360,
991,
4323,
4705
] | train |
[
{
"content": "Did the male or female population have a higher literacy rate in 2001?",
"role": "user"
}
] | [
"male"
] | In recent decades, the literacy rate of Rajasthan has increased significantly. In 1991, the states literacy rate was only 38.55% (54.99% male and 20.44% female). In 2001, the literacy rate increased to 60.41% (75.70% male and 43.85% female). This was the highest leap in the percentage of literacy recorded in India (the... | 27,152 | [
"In recent decades, the literacy rate of Rajasthan has increased significantly. In 1991, the states literacy rate was only 38.55% (54.99% male and 20.44% female). In 2001, the literacy rate increased to 60.41% (75.70% male and 43.85% female). This was the highest leap in the percentage of literacy recorded in India... | [
"In recent decades, the literacy rate of Rajasthan has increased significantly. In 1991, the states literacy rate was only 38.55% (54.99% male and 20.44% female). In 2001, the literacy rate increased to 60.41% (75.70% male and 43.85% female). This was the highest leap in the percentage of literacy recorded in India... | [
0.9999997616,
0.9931011796,
0.9930752516,
0.992000401,
0.9918915033,
0.9918116331
] | [
4370,
4671,
360,
991,
4323,
4705
] | train |
[
{
"content": "Which make up the most foreigners, Russian citizens or the EU?",
"role": "user"
}
] | [
"Russian citizens"
] | According to the 2011 census Russian citizens are the most numerous foreigners - 11 991, followed by 8 444 EU citizens (UK- 2 605, Greece - 1 253, Germany- 848, Poland - 819 and Italy - 456), citizens of Ukraine - 3 064, Republic of Macedonia - 1 091, Moldova - 893 and Serbia - 569. 22.8% of them are from Asia, mostly ... | 27,153 | [
"According to the 2011 census Russian citizens are the most numerous foreigners - 11 991, followed by 8 444 EU citizens (UK- 2 605, Greece - 1 253, Germany- 848, Poland - 819 and Italy - 456), citizens of Ukraine - 3 064, Republic of Macedonia - 1 091, Moldova - 893 and Serbia - 569. 22.8% of them are from Asia, mo... | [
"According to the 2011 census Russian citizens are the most numerous foreigners - 11 991, followed by 8 444 EU citizens (UK- 2 605, Greece - 1 253, Germany- 848, Poland - 819 and Italy - 456), citizens of Ukraine - 3 064, Republic of Macedonia - 1 091, Moldova - 893 and Serbia - 569. 22.8% of them are from Asia, mo... | [
1,
0.9938482046,
0.9933283329,
0.9928927422,
0.9925278425,
0.9920182228
] | [
4371,
3586,
3220,
1060,
1867,
2152
] | train |
[
{
"content": "Which countries have over 800 EU citizens?",
"role": "user"
}
] | [
"Poland"
] | According to the 2011 census Russian citizens are the most numerous foreigners - 11 991, followed by 8 444 EU citizens (UK- 2 605, Greece - 1 253, Germany- 848, Poland - 819 and Italy - 456), citizens of Ukraine - 3 064, Republic of Macedonia - 1 091, Moldova - 893 and Serbia - 569. 22.8% of them are from Asia, mostly ... | 27,154 | [
"According to the 2011 census Russian citizens are the most numerous foreigners - 11 991, followed by 8 444 EU citizens (UK- 2 605, Greece - 1 253, Germany- 848, Poland - 819 and Italy - 456), citizens of Ukraine - 3 064, Republic of Macedonia - 1 091, Moldova - 893 and Serbia - 569. 22.8% of them are from Asia, mo... | [
"According to the 2011 census Russian citizens are the most numerous foreigners - 11 991, followed by 8 444 EU citizens (UK- 2 605, Greece - 1 253, Germany- 848, Poland - 819 and Italy - 456), citizens of Ukraine - 3 064, Republic of Macedonia - 1 091, Moldova - 893 and Serbia - 569. 22.8% of them are from Asia, mo... | [
1,
0.9938482046,
0.9933283329,
0.9928927422,
0.9925278425,
0.9920182228
] | [
4371,
3586,
3220,
1060,
1867,
2152
] | train |
[
{
"content": "Which citizenship did not have more than a population of 5000?",
"role": "user"
}
] | [
"Bulgarian and Turkish citizenship"
] | According to the 2011 census Russian citizens are the most numerous foreigners - 11 991, followed by 8 444 EU citizens (UK- 2 605, Greece - 1 253, Germany- 848, Poland - 819 and Italy - 456), citizens of Ukraine - 3 064, Republic of Macedonia - 1 091, Moldova - 893 and Serbia - 569. 22.8% of them are from Asia, mostly ... | 27,155 | [
"According to the 2011 census Russian citizens are the most numerous foreigners - 11 991, followed by 8 444 EU citizens (UK- 2 605, Greece - 1 253, Germany- 848, Poland - 819 and Italy - 456), citizens of Ukraine - 3 064, Republic of Macedonia - 1 091, Moldova - 893 and Serbia - 569. 22.8% of them are from Asia, mo... | [
"According to the 2011 census Russian citizens are the most numerous foreigners - 11 991, followed by 8 444 EU citizens (UK- 2 605, Greece - 1 253, Germany- 848, Poland - 819 and Italy - 456), citizens of Ukraine - 3 064, Republic of Macedonia - 1 091, Moldova - 893 and Serbia - 569. 22.8% of them are from Asia, mo... | [
1,
0.9938482046,
0.9933283329,
0.9928927422,
0.9925278425,
0.9920182228
] | [
4371,
3586,
3220,
1060,
1867,
2152
] | train |
[
{
"content": "Which citizens were there less than 5000 who belonged to Bulgarian ancestry?",
"role": "user"
}
] | [
"Israeli"
] | According to the 2011 census Russian citizens are the most numerous foreigners - 11 991, followed by 8 444 EU citizens (UK- 2 605, Greece - 1 253, Germany- 848, Poland - 819 and Italy - 456), citizens of Ukraine - 3 064, Republic of Macedonia - 1 091, Moldova - 893 and Serbia - 569. 22.8% of them are from Asia, mostly ... | 27,156 | [
"According to the 2011 census Russian citizens are the most numerous foreigners - 11 991, followed by 8 444 EU citizens (UK- 2 605, Greece - 1 253, Germany- 848, Poland - 819 and Italy - 456), citizens of Ukraine - 3 064, Republic of Macedonia - 1 091, Moldova - 893 and Serbia - 569. 22.8% of them are from Asia, mo... | [
"According to the 2011 census Russian citizens are the most numerous foreigners - 11 991, followed by 8 444 EU citizens (UK- 2 605, Greece - 1 253, Germany- 848, Poland - 819 and Italy - 456), citizens of Ukraine - 3 064, Republic of Macedonia - 1 091, Moldova - 893 and Serbia - 569. 22.8% of them are from Asia, mo... | [
1,
0.9938482046,
0.9933283329,
0.9928927422,
0.9925278425,
0.9920182228
] | [
4371,
3586,
3220,
1060,
1867,
2152
] | train |
[
{
"content": "Which citizens had more Bulgarian ancestry citizens than Ukrainians, Serbians and Russians combined?",
"role": "user"
}
] | [
"Moldovan citizens"
] | According to the 2011 census Russian citizens are the most numerous foreigners - 11 991, followed by 8 444 EU citizens (UK- 2 605, Greece - 1 253, Germany- 848, Poland - 819 and Italy - 456), citizens of Ukraine - 3 064, Republic of Macedonia - 1 091, Moldova - 893 and Serbia - 569. 22.8% of them are from Asia, mostly ... | 27,157 | [
"According to the 2011 census Russian citizens are the most numerous foreigners - 11 991, followed by 8 444 EU citizens (UK- 2 605, Greece - 1 253, Germany- 848, Poland - 819 and Italy - 456), citizens of Ukraine - 3 064, Republic of Macedonia - 1 091, Moldova - 893 and Serbia - 569. 22.8% of them are from Asia, mo... | [
"According to the 2011 census Russian citizens are the most numerous foreigners - 11 991, followed by 8 444 EU citizens (UK- 2 605, Greece - 1 253, Germany- 848, Poland - 819 and Italy - 456), citizens of Ukraine - 3 064, Republic of Macedonia - 1 091, Moldova - 893 and Serbia - 569. 22.8% of them are from Asia, mo... | [
1,
0.9938482046,
0.9933283329,
0.9928927422,
0.9925278425,
0.9920182228
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4371,
3586,
3220,
1060,
1867,
2152
] | train |
[
{
"content": "Which groups of people from Bulgarian ancestry had more than 3000 citizens whom were granted Bulgarian citizenship?",
"role": "user"
}
] | [
"Israeli"
] | According to the 2011 census Russian citizens are the most numerous foreigners - 11 991, followed by 8 444 EU citizens (UK- 2 605, Greece - 1 253, Germany- 848, Poland - 819 and Italy - 456), citizens of Ukraine - 3 064, Republic of Macedonia - 1 091, Moldova - 893 and Serbia - 569. 22.8% of them are from Asia, mostly ... | 27,158 | [
"According to the 2011 census Russian citizens are the most numerous foreigners - 11 991, followed by 8 444 EU citizens (UK- 2 605, Greece - 1 253, Germany- 848, Poland - 819 and Italy - 456), citizens of Ukraine - 3 064, Republic of Macedonia - 1 091, Moldova - 893 and Serbia - 569. 22.8% of them are from Asia, mo... | [
"According to the 2011 census Russian citizens are the most numerous foreigners - 11 991, followed by 8 444 EU citizens (UK- 2 605, Greece - 1 253, Germany- 848, Poland - 819 and Italy - 456), citizens of Ukraine - 3 064, Republic of Macedonia - 1 091, Moldova - 893 and Serbia - 569. 22.8% of them are from Asia, mo... | [
1,
0.9938482046,
0.9933283329,
0.9928927422,
0.9925278425,
0.9920182228
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3586,
3220,
1060,
1867,
2152
] | train |
[
{
"content": "Which area has a greater percentage of people that speak Gaelic, Barvas or Ardnamurchan?",
"role": "user"
}
] | [
"Barvas"
] | As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speakers g... | 27,159 | [
"As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speak... | [
"As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speak... | [
1,
0.9951422811,
0.9915294647,
0.99104774,
0.9910014868,
0.9908509254
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4372,
3787,
1662,
4634,
4801,
4602
] | train |
[
{
"content": "Which area saw a larger gain in Gaelic speakers, North Lanarkshire or East Ayrshire?",
"role": "user"
}
] | [
"North Lanarkshire"
] | As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speakers g... | 27,160 | [
"As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speak... | [
"As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speak... | [
1,
0.9951422811,
0.9915294647,
0.99104774,
0.9910014868,
0.9908509254
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4372,
3787,
1662,
4634,
4801,
4602
] | train |
[
{
"content": "Which areas saw gains between 200 and 300?",
"role": "user"
}
] | [
"City of Aberdeen"
] | As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speakers g... | 27,161 | [
"As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speak... | [
"As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speak... | [
1,
0.9951422811,
0.9915294647,
0.99104774,
0.9910014868,
0.9908509254
] | [
4372,
3787,
1662,
4634,
4801,
4602
] | train |
[
{
"content": "Which areas saw gains of 300 or more?",
"role": "user"
}
] | [
"Aberdeenshire"
] | As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speakers g... | 27,162 | [
"As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speak... | [
"As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speak... | [
1,
0.9951422811,
0.9915294647,
0.99104774,
0.9910014868,
0.9908509254
] | [
4372,
3787,
1662,
4634,
4801,
4602
] | train |
[
{
"content": "Which area saw the third highest relative gain?",
"role": "user"
}
] | [
"Moray"
] | As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speakers g... | 27,163 | [
"As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speak... | [
"As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speak... | [
1,
0.9951422811,
0.9915294647,
0.99104774,
0.9910014868,
0.9908509254
] | [
4372,
3787,
1662,
4634,
4801,
4602
] | train |
[
{
"content": "Which areas saw over 200 gains in absolute gains but less than 300?",
"role": "user"
}
] | [
"City of Aberdeen"
] | As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speakers g... | 27,164 | [
"As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speak... | [
"As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speak... | [
1,
0.9951422811,
0.9915294647,
0.99104774,
0.9910014868,
0.9908509254
] | [
4372,
3787,
1662,
4634,
4801,
4602
] | train |
[
{
"content": "In the Lowlands did the number of Gaelic speakers increase or decrease between 2001 and 2011?",
"role": "user"
}
] | [
"increase"
] | As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speakers g... | 27,165 | [
"As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speak... | [
"As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speak... | [
1,
0.9951422811,
0.9915294647,
0.99104774,
0.9910014868,
0.9908509254
] | [
4372,
3787,
1662,
4634,
4801,
4602
] | train |
[
{
"content": "Which areas saw an absolute gain of more than 300?",
"role": "user"
}
] | [
"Aberdeenshire"
] | As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speakers g... | 27,166 | [
"As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speak... | [
"As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speak... | [
1,
0.9951422811,
0.9915294647,
0.99104774,
0.9910014868,
0.9908509254
] | [
4372,
3787,
1662,
4634,
4801,
4602
] | train |
[
{
"content": "Which areas saw absolute gains between 200 and 300?",
"role": "user"
}
] | [
"City of Aberdeen"
] | As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speakers g... | 27,167 | [
"As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speak... | [
"As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speak... | [
1,
0.9951422811,
0.9915294647,
0.99104774,
0.9910014868,
0.9908509254
] | [
4372,
3787,
1662,
4634,
4801,
4602
] | train |
[
{
"content": "Which area had the largest relative gain?",
"role": "user"
}
] | [
"Aberdeenshire"
] | As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speakers g... | 27,168 | [
"As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speak... | [
"As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speak... | [
1,
0.9951422811,
0.9915294647,
0.99104774,
0.9910014868,
0.9908509254
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4372,
3787,
1662,
4634,
4801,
4602
] | train |
[
{
"content": "What city had the smallest gains in Scotland: Orkney Islands or Moray?",
"role": "user"
}
] | [
"Orkney Islands"
] | As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speakers g... | 27,169 | [
"As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speak... | [
"As a result of continued decline in the traditional Gaelic heartlands, today no Civil parishes in Scotland in Scotland has a proportion of Gaelic speakers greater than 65% (the highest value is in Barvas, Isle of Lewis, with 64.1%). In addition, no civil parish on mainland Scotland has a proportion of Gaelic speak... | [
1,
0.9951422811,
0.9915294647,
0.99104774,
0.9910014868,
0.9908509254
] | [
4372,
3787,
1662,
4634,
4801,
4602
] | train |
[
{
"content": "Which religious group has a higher percentage in Suriname, Hindus or Roman Catholics?",
"role": "user"
}
] | [
"Hindus"
] | According to the 2012 census, 48.4% were Christianity, among whom 26.7% were Protestants (including 11.18% Pentecostal, 11.16% Moravian Church, and 4.4% of various other Protestant denominations) and 21.6% were Roman Catholics. Hindus formed the second-largest religious group in Suriname, comprising 22.3% of the popula... | 27,170 | [
"According to the 2012 census, 48.4% were Christianity, among whom 26.7% were Protestants (including 11.18% Pentecostal, 11.16% Moravian Church, and 4.4% of various other Protestant denominations) and 21.6% were Roman Catholics. Hindus formed the second-largest religious group in Suriname, comprising 22.3% of the p... | [
"According to the 2012 census, 48.4% were Christianity, among whom 26.7% were Protestants (including 11.18% Pentecostal, 11.16% Moravian Church, and 4.4% of various other Protestant denominations) and 21.6% were Roman Catholics. Hindus formed the second-largest religious group in Suriname, comprising 22.3% of the p... | [
1,
0.995634675,
0.9952337742,
0.9947773814,
0.9942936897,
0.9935051799
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4373,
4764,
991,
4480,
4635,
1759
] | train |
[
{
"content": "Which religious group has more population, Muslims or Protestants?",
"role": "user"
}
] | [
"Protestants"
] | According to the 2012 census, 48.4% were Christianity, among whom 26.7% were Protestants (including 11.18% Pentecostal, 11.16% Moravian Church, and 4.4% of various other Protestant denominations) and 21.6% were Roman Catholics. Hindus formed the second-largest religious group in Suriname, comprising 22.3% of the popula... | 27,171 | [
"According to the 2012 census, 48.4% were Christianity, among whom 26.7% were Protestants (including 11.18% Pentecostal, 11.16% Moravian Church, and 4.4% of various other Protestant denominations) and 21.6% were Roman Catholics. Hindus formed the second-largest religious group in Suriname, comprising 22.3% of the p... | [
"According to the 2012 census, 48.4% were Christianity, among whom 26.7% were Protestants (including 11.18% Pentecostal, 11.16% Moravian Church, and 4.4% of various other Protestant denominations) and 21.6% were Roman Catholics. Hindus formed the second-largest religious group in Suriname, comprising 22.3% of the p... | [
1,
0.995634675,
0.9952337742,
0.9947773814,
0.9942936897,
0.9935051799
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4764,
991,
4480,
4635,
1759
] | train |
[
{
"content": "Which religious group had less population, Winti or Javanism?",
"role": "user"
}
] | [
"Javanism"
] | According to the 2012 census, 48.4% were Christianity, among whom 26.7% were Protestants (including 11.18% Pentecostal, 11.16% Moravian Church, and 4.4% of various other Protestant denominations) and 21.6% were Roman Catholics. Hindus formed the second-largest religious group in Suriname, comprising 22.3% of the popula... | 27,172 | [
"According to the 2012 census, 48.4% were Christianity, among whom 26.7% were Protestants (including 11.18% Pentecostal, 11.16% Moravian Church, and 4.4% of various other Protestant denominations) and 21.6% were Roman Catholics. Hindus formed the second-largest religious group in Suriname, comprising 22.3% of the p... | [
"According to the 2012 census, 48.4% were Christianity, among whom 26.7% were Protestants (including 11.18% Pentecostal, 11.16% Moravian Church, and 4.4% of various other Protestant denominations) and 21.6% were Roman Catholics. Hindus formed the second-largest religious group in Suriname, comprising 22.3% of the p... | [
1,
0.995634675,
0.9952337742,
0.9947773814,
0.9942936897,
0.9935051799
] | [
4373,
4764,
991,
4480,
4635,
1759
] | train |
[
{
"content": "Who beta the Ravens in the week before this game?",
"role": "user"
}
] | [
"Seahawks"
] | After a huge win against the Ravens in Baltimore, the Seahawks returned home to host the Cleveland Browns. Russell Wilson's streak continued, over the last five games he's thrown for 19 touchdowns and zero interceptions. Doug Baldwin over the last four games has compiled 10 touchdowns which has only been achieved one ... | 27,173 | [
" After a huge win against the Ravens in Baltimore, the Seahawks returned home to host the Cleveland Browns. Russell Wilson's streak continued, over the last five games he's thrown for 19 touchdowns and zero interceptions. Doug Baldwin over the last four games has compiled 10 touchdowns which has only been achieved... | [
" After a huge win against the Ravens in Baltimore, the Seahawks returned home to host the Cleveland Browns. Russell Wilson's streak continued, over the last five games he's thrown for 19 touchdowns and zero interceptions. Doug Baldwin over the last four games has compiled 10 touchdowns which has only been achieved... | [
1,
0.9973694086,
0.9965307713,
0.996235013,
0.9960749149,
0.9960665107
] | [
4374,
4191,
3263,
457,
2738,
3292
] | train |
[
{
"content": "Which two players have scored 10 touchdowns in four games?",
"role": "user"
}
] | [
"Doug Baldwin"
] | After a huge win against the Ravens in Baltimore, the Seahawks returned home to host the Cleveland Browns. Russell Wilson's streak continued, over the last five games he's thrown for 19 touchdowns and zero interceptions. Doug Baldwin over the last four games has compiled 10 touchdowns which has only been achieved one ... | 27,174 | [
" After a huge win against the Ravens in Baltimore, the Seahawks returned home to host the Cleveland Browns. Russell Wilson's streak continued, over the last five games he's thrown for 19 touchdowns and zero interceptions. Doug Baldwin over the last four games has compiled 10 touchdowns which has only been achieved... | [
" After a huge win against the Ravens in Baltimore, the Seahawks returned home to host the Cleveland Browns. Russell Wilson's streak continued, over the last five games he's thrown for 19 touchdowns and zero interceptions. Doug Baldwin over the last four games has compiled 10 touchdowns which has only been achieved... | [
1,
0.9973694086,
0.9965307713,
0.996235013,
0.9960749149,
0.9960665107
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4374,
4191,
3263,
457,
2738,
3292
] | train |
[
{
"content": "Which was higher in Gambia, the birth rate or the death rate?",
"role": "user"
}
] | [
"birth rate"
] | With a population of 1.88 million in 2013, The Gambia List of countries by population. Its population density is 176.1 inhabitants per square kilometer (456.1 inhabitants per square mile). The overall List of countries by life expectancy is 64.1 years. The total fertility rate of 3.98 is one of the highest in the world... | 27,175 | [
"With a population of 1.88 million in 2013, The Gambia List of countries by population. Its population density is 176.1 inhabitants per square kilometer (456.1 inhabitants per square mile). The overall List of countries by life expectancy is 64.1 years. The total fertility rate of 3.98 is one of the highest in the ... | [
"With a population of 1.88 million in 2013, The Gambia List of countries by population. Its population density is 176.1 inhabitants per square kilometer (456.1 inhabitants per square mile). The overall List of countries by life expectancy is 64.1 years. The total fertility rate of 3.98 is one of the highest in the ... | [
1.0000002384,
0.9978845716,
0.9971011877,
0.9931763411,
0.9930938482,
0.9927623272
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4375,
3479,
3597,
33,
4508,
3790
] | train |
[
{
"content": "Which industry were there more people working in the Paris Region in 2012, finance and insurance or transportation and warehousing?",
"role": "user"
}
] | [
"transportation and warehousing"
] | At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and support s... | 27,176 | [
"At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and supp... | [
"At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and supp... | [
1.0000001192,
0.993059516,
0.9925356507,
0.9923837781,
0.9920630455,
0.991979003
] | [
4376,
492,
2694,
2006,
4269,
4712
] | train |
[
{
"content": "What industry made up the largest percentage?",
"role": "user"
}
] | [
"market services"
] | At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and support s... | 27,177 | [
"At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and supp... | [
"At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and supp... | [
1.0000001192,
0.993059516,
0.9925356507,
0.9923837781,
0.9920630455,
0.991979003
] | [
4376,
492,
2694,
2006,
4269,
4712
] | train |
[
{
"content": "What professions fall under market services?",
"role": "user"
}
] | [
"wholesale and retail trade"
] | At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and support s... | 27,178 | [
"At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and supp... | [
"At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and supp... | [
1.0000001192,
0.993059516,
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4376,
492,
2694,
2006,
4269,
4712
] | train |
[
{
"content": "What percentage was higher, manufacturing or utilities?",
"role": "user"
}
] | [
"manufacturing"
] | At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and support s... | 27,179 | [
"At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and supp... | [
"At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and supp... | [
1.0000001192,
0.993059516,
0.9925356507,
0.9923837781,
0.9920630455,
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4376,
492,
2694,
2006,
4269,
4712
] | train |
[
{
"content": "What was the second largest segment of market services?",
"role": "user"
}
] | [
"professional, scientific, and technical services"
] | At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and support s... | 27,180 | [
"At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and supp... | [
"At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and supp... | [
1.0000001192,
0.993059516,
0.9925356507,
0.9923837781,
0.9920630455,
0.991979003
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4376,
492,
2694,
2006,
4269,
4712
] | train |
[
{
"content": "Which market services made up between 6 and 7%?",
"role": "user"
}
] | [
"information and communication"
] | At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and support s... | 27,181 | [
"At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and supp... | [
"At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and supp... | [
1.0000001192,
0.993059516,
0.9925356507,
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4376,
492,
2694,
2006,
4269,
4712
] | train |
[
{
"content": "What was the smallest group in non-market services?",
"role": "user"
}
] | [
"education"
] | At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and support s... | 27,182 | [
"At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and supp... | [
"At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and supp... | [
1.0000001192,
0.993059516,
0.9925356507,
0.9923837781,
0.9920630455,
0.991979003
] | [
4376,
492,
2694,
2006,
4269,
4712
] | train |
[
{
"content": "What all job categories in the Paris Region 2012 census had less than 8%?",
"role": "user"
}
] | [
"construction"
] | At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and support s... | 27,183 | [
"At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and supp... | [
"At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and supp... | [
1.0000001192,
0.993059516,
0.9925356507,
0.9923837781,
0.9920630455,
0.991979003
] | [
4376,
492,
2694,
2006,
4269,
4712
] | train |
[
{
"content": "What all subcategories are included in market services?",
"role": "user"
}
] | [
"wholesale and retail trade"
] | At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and support s... | 27,184 | [
"At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and supp... | [
"At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and supp... | [
1.0000001192,
0.993059516,
0.9925356507,
0.9923837781,
0.9920630455,
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] | [
4376,
492,
2694,
2006,
4269,
4712
] | train |
[
{
"content": "What all subcategories are included in non-market services?",
"role": "user"
}
] | [
"non-market services"
] | At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and support s... | 27,185 | [
"At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and supp... | [
"At the 2012 census, 59.5% of jobs in the Paris Region were in market services (12.0% in wholesale and retail trade, 9.7% in professional, scientific, and technical services, 6.5% in information and communication, 6.5% in transportation and warehousing, 5.9% in finance and insurance, 5.8% in administrative and supp... | [
1.0000001192,
0.993059516,
0.9925356507,
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4376,
492,
2694,
2006,
4269,
4712
] | train |
[
{
"content": "How many yards was the longest field goal?",
"role": "user"
}
] | [
"44-yard"
] | The Colts stayed home and took on the Jaguars. The Jags would manage to score early in the 1st quarter as Josh Scobee would kick a 44-yard field goal for a 3-0 lead. In the 2nd quarter, the Colts would get on the board as Adam Vinatieri would tie the game for his team 3-3 with a 42-yard field goal. This would event... | 27,186 | [
" The Colts stayed home and took on the Jaguars. The Jags would manage to score early in the 1st quarter as Josh Scobee would kick a 44-yard field goal for a 3-0 lead. In the 2nd quarter, the Colts would get on the board as Adam Vinatieri would tie the game for his team 3-3 with a 42-yard field goal. This would ... | [
" The Colts stayed home and took on the Jaguars. The Jags would manage to score early in the 1st quarter as Josh Scobee would kick a 44-yard field goal for a 3-0 lead. In the 2nd quarter, the Colts would get on the board as Adam Vinatieri would tie the game for his team 3-3 with a 42-yard field goal. This would ... | [
0.9999999404,
0.9959657192,
0.9958528876,
0.9954315424,
0.995244205,
0.9950635433
] | [
4377,
197,
1953,
359,
132,
286
] | train |
[
{
"content": "Which player had the first touchdown catch of the game?",
"role": "user"
}
] | [
"Emmanuel Sanders"
] | The Bengals grabbed the lead on their opening possession, with running back Jeremy Hill rushing for a 3-yard touchdown. The Broncos drove down to near the goal line on their second possession, which was aided by two Bengals' defensive penalties, however, the Broncos were forced to settle for a 20-yard field goal by pl... | 27,187 | [
" The Bengals grabbed the lead on their opening possession, with running back Jeremy Hill rushing for a 3-yard touchdown. The Broncos drove down to near the goal line on their second possession, which was aided by two Bengals' defensive penalties, however, the Broncos were forced to settle for a 20-yard field goal ... | [
" The Bengals grabbed the lead on their opening possession, with running back Jeremy Hill rushing for a 3-yard touchdown. The Broncos drove down to near the goal line on their second possession, which was aided by two Bengals' defensive penalties, however, the Broncos were forced to settle for a 20-yard field goal ... | [
1,
0.9963310957,
0.9955658913,
0.9954530001,
0.9954095483,
0.9953967929
] | [
4378,
1955,
2141,
359,
226,
896
] | train |
[
{
"content": "Which player had the shortest touchdown play?",
"role": "user"
}
] | [
"John Phillips"
] | The Bengals grabbed the lead on their opening possession, with running back Jeremy Hill rushing for a 3-yard touchdown. The Broncos drove down to near the goal line on their second possession, which was aided by two Bengals' defensive penalties, however, the Broncos were forced to settle for a 20-yard field goal by pl... | 27,188 | [
" The Bengals grabbed the lead on their opening possession, with running back Jeremy Hill rushing for a 3-yard touchdown. The Broncos drove down to near the goal line on their second possession, which was aided by two Bengals' defensive penalties, however, the Broncos were forced to settle for a 20-yard field goal ... | [
" The Bengals grabbed the lead on their opening possession, with running back Jeremy Hill rushing for a 3-yard touchdown. The Broncos drove down to near the goal line on their second possession, which was aided by two Bengals' defensive penalties, however, the Broncos were forced to settle for a 20-yard field goal ... | [
1,
0.9963310957,
0.9955658913,
0.9954530001,
0.9954095483,
0.9953967929
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4378,
1955,
2141,
359,
226,
896
] | train |
[
{
"content": "Which group for households is larger: married couples living together or non-families?",
"role": "user"
}
] | [
"married couples living together"
] | There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of individ... | 27,189 | [
"There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of in... | [
"There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of in... | [
0.9999998808,
0.9989513755,
0.9989178181,
0.9988501668,
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] | [
4379,
274,
784,
1144,
1424,
2422
] | train |
[
{
"content": "Which group for households is smaller: married couples living together or non-families?",
"role": "user"
}
] | [
"non-families"
] | There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of individ... | 27,190 | [
"There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of in... | [
"There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of in... | [
0.9999998808,
0.9989513755,
0.9989178181,
0.9988501668,
0.9987705946,
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] | [
4379,
274,
784,
1144,
1424,
2422
] | train |
[
{
"content": "Which group for households is larger: married couples living together or made up of individuals?",
"role": "user"
}
] | [
"married couples living together"
] | There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of individ... | 27,191 | [
"There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of in... | [
"There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of in... | [
0.9999998808,
0.9989513755,
0.9989178181,
0.9988501668,
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4379,
274,
784,
1144,
1424,
2422
] | train |
[
{
"content": "Which group for households is smaller: married couples living together or made up of individuals?",
"role": "user"
}
] | [
"made up of individuals"
] | There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of individ... | 27,192 | [
"There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of in... | [
"There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of in... | [
0.9999998808,
0.9989513755,
0.9989178181,
0.9988501668,
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] | [
4379,
274,
784,
1144,
1424,
2422
] | train |
[
{
"content": "Which group for households is larger: average family size or average household size?",
"role": "user"
}
] | [
"average family size"
] | There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of individ... | 27,193 | [
"There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of in... | [
"There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of in... | [
0.9999998808,
0.9989513755,
0.9989178181,
0.9988501668,
0.9987705946,
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] | [
4379,
274,
784,
1144,
1424,
2422
] | train |
[
{
"content": "Which group for households is smaller: average family size or average household size?",
"role": "user"
}
] | [
"average household size"
] | There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of individ... | 27,194 | [
"There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of in... | [
"There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of in... | [
0.9999998808,
0.9989513755,
0.9989178181,
0.9988501668,
0.9987705946,
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] | [
4379,
274,
784,
1144,
1424,
2422
] | train |
[
{
"content": "Which group for households is larger: married couples living together or non-families?",
"role": "user"
}
] | [
"married couples living together"
] | There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of individ... | 27,195 | [
"There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of in... | [
"There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of in... | [
0.9999998808,
0.9989513755,
0.9989178181,
0.9988501668,
0.9987705946,
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] | [
4379,
274,
784,
1144,
1424,
2422
] | train |
[
{
"content": "Which group for households is smaller: married couples living together or non-families?",
"role": "user"
}
] | [
"non-families"
] | There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of individ... | 27,196 | [
"There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of in... | [
"There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of in... | [
0.9999998808,
0.9989513755,
0.9989178181,
0.9988501668,
0.9987705946,
0.9986897111
] | [
4379,
274,
784,
1144,
1424,
2422
] | train |
[
{
"content": "Which group for households is larger: married couples living together or made up of individuals?",
"role": "user"
}
] | [
"married couples living together"
] | There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of individ... | 27,197 | [
"There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of in... | [
"There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of in... | [
0.9999998808,
0.9989513755,
0.9989178181,
0.9988501668,
0.9987705946,
0.9986897111
] | [
4379,
274,
784,
1144,
1424,
2422
] | train |
[
{
"content": "Which group for households is smaller: married couples living together or made up of individuals?",
"role": "user"
}
] | [
"made up of individuals"
] | There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of individ... | 27,198 | [
"There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of in... | [
"There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of in... | [
0.9999998808,
0.9989513755,
0.9989178181,
0.9988501668,
0.9987705946,
0.9986897111
] | [
4379,
274,
784,
1144,
1424,
2422
] | train |
[
{
"content": "Which group for households is larger: average family size or average household size?",
"role": "user"
}
] | [
"average family size"
] | There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of individ... | 27,199 | [
"There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of in... | [
"There were 4,280 households of which 32.9% had children under the age of 18 living with them, 39.2% were married couples living together, 16.4% had a female householder with no husband present, 5.7% had a male householder with no wife present, and 38.7% were non-families. 32.0% of all households were made up of in... | [
0.9999998808,
0.9989513755,
0.9989178181,
0.9988501668,
0.9987705946,
0.9986897111
] | [
4379,
274,
784,
1144,
1424,
2422
] | train |
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