index int64 0 7.2k | name stringlengths 6 185 | filename stringlengths 6 185 | id stringlengths 30 30 | source stringclasses 5
values | story stringlengths 358 6.49k | turn_id int64 1 36 | question stringlengths 1 229 | input_text stringlengths 1 1.82k | span_text stringlengths 1 1.94k | span_start int64 -1 6.07k | span_end int64 -1 6.08k | bad_turn bool 2
classes |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,637 | Anti-aircraft_warfareAnti-aircraft_warfare_09016803017f92d6e971478d5986a74f0e91344baf795a960ac83c68 | Anti-aircraft_warfareAnti-aircraft_warfare_09016803017f92d6e971478d5986a74f0e91344baf795a960ac83c68 | 3cfvk00fwll5gtd3p2wjwb7x1n5l6r | wikipedia | Anti-aircraft warfare or counter-air defence is defined by NATO as "all measures designed to nullify or reduce the effectiveness of hostile air action." They include ground-and air-based weapon systems, associated sensor systems, command and control arrangements and passive measures (e.g. barrage balloons). It may be u... | 6 | What do they call it in France? | DCA | In French, air defence is called DCA | 1,124 | 1,160 | false |
1,637 | Anti-aircraft_warfareAnti-aircraft_warfare_09016803017f92d6e971478d5986a74f0e91344baf795a960ac83c68 | Anti-aircraft_warfareAnti-aircraft_warfare_09016803017f92d6e971478d5986a74f0e91344baf795a960ac83c68 | 3cfvk00fwll5gtd3p2wjwb7x1n5l6r | wikipedia | Anti-aircraft warfare or counter-air defence is defined by NATO as "all measures designed to nullify or reduce the effectiveness of hostile air action." They include ground-and air-based weapon systems, associated sensor systems, command and control arrangements and passive measures (e.g. barrage balloons). It may be u... | 7 | What about in Germany? | Flak | Non-English terms for air defence include the German Flak | 705 | 762 | false |
1,637 | Anti-aircraft_warfareAnti-aircraft_warfare_09016803017f92d6e971478d5986a74f0e91344baf795a960ac83c68 | Anti-aircraft_warfareAnti-aircraft_warfare_09016803017f92d6e971478d5986a74f0e91344baf795a960ac83c68 | 3cfvk00fwll5gtd3p2wjwb7x1n5l6r | wikipedia | Anti-aircraft warfare or counter-air defence is defined by NATO as "all measures designed to nullify or reduce the effectiveness of hostile air action." They include ground-and air-based weapon systems, associated sensor systems, command and control arrangements and passive measures (e.g. barrage balloons). It may be u... | 8 | What task do they have? | intercepting any projectile in flight. | task of intercepting any projectile in flight. | 656 | 702 | false |
1,637 | Anti-aircraft_warfareAnti-aircraft_warfare_09016803017f92d6e971478d5986a74f0e91344baf795a960ac83c68 | Anti-aircraft_warfareAnti-aircraft_warfare_09016803017f92d6e971478d5986a74f0e91344baf795a960ac83c68 | 3cfvk00fwll5gtd3p2wjwb7x1n5l6r | wikipedia | Anti-aircraft warfare or counter-air defence is defined by NATO as "all measures designed to nullify or reduce the effectiveness of hostile air action." They include ground-and air-based weapon systems, associated sensor systems, command and control arrangements and passive measures (e.g. barrage balloons). It may be u... | 9 | What are they referred to as in Russia? | Protivovozdushnaya oborona | the Russian term Protivovozdushnaya oborona | 870 | 913 | false |
1,637 | Anti-aircraft_warfareAnti-aircraft_warfare_09016803017f92d6e971478d5986a74f0e91344baf795a960ac83c68 | Anti-aircraft_warfareAnti-aircraft_warfare_09016803017f92d6e971478d5986a74f0e91344baf795a960ac83c68 | 3cfvk00fwll5gtd3p2wjwb7x1n5l6r | wikipedia | Anti-aircraft warfare or counter-air defence is defined by NATO as "all measures designed to nullify or reduce the effectiveness of hostile air action." They include ground-and air-based weapon systems, associated sensor systems, command and control arrangements and passive measures (e.g. barrage balloons). It may be u... | 10 | How many examples are given as to what it is named in other places? | Four | Non-English terms for air defence include the German Flak (Fliegerabwehrkanone, "aircraft defence cannon", also cited as Flugabwehrkanone), whence English flak, and the Russian term Protivovozdushnaya oborona (Cyrillic: Противовозду́шная оборо́на), a literal translation of "anti-air defence", abbreviated as PVO. In Rus... | 705 | 1,309 | false |
1,638 | high18503.txt | high18503.txt | 3x3or7wpzz0sk7wrihthgp3o7mw8l9 | race | Alfred Nobel, the great Swedish inventor and industrialist, was born in Stockholm on October 21, 1833, but moved to Russia with his parents in 1842, where his father, Immanuel, made a strong position for himself in the engineering industry.
Immanuel Nobel invented landmine and made a lot of money from the government ... | 1 | When did Alfred Nobel die? | 1896 | 1896 | 918 | 922 | false |
1,638 | high18503.txt | high18503.txt | 3x3or7wpzz0sk7wrihthgp3o7mw8l9 | race | Alfred Nobel, the great Swedish inventor and industrialist, was born in Stockholm on October 21, 1833, but moved to Russia with his parents in 1842, where his father, Immanuel, made a strong position for himself in the engineering industry.
Immanuel Nobel invented landmine and made a lot of money from the government ... | 2 | Who was his father? | Immanuel Nobel | Immanuel Nobel | 243 | 257 | false |
1,638 | high18503.txt | high18503.txt | 3x3or7wpzz0sk7wrihthgp3o7mw8l9 | race | Alfred Nobel, the great Swedish inventor and industrialist, was born in Stockholm on October 21, 1833, but moved to Russia with his parents in 1842, where his father, Immanuel, made a strong position for himself in the engineering industry.
Immanuel Nobel invented landmine and made a lot of money from the government ... | 3 | What did he invent? | landmine | landmine | 267 | 275 | false |
1,638 | high18503.txt | high18503.txt | 3x3or7wpzz0sk7wrihthgp3o7mw8l9 | race | Alfred Nobel, the great Swedish inventor and industrialist, was born in Stockholm on October 21, 1833, but moved to Russia with his parents in 1842, where his father, Immanuel, made a strong position for himself in the engineering industry.
Immanuel Nobel invented landmine and made a lot of money from the government ... | 4 | Where was Alfred birthed? | Stockholm | Stockholm | 72 | 81 | false |
1,638 | high18503.txt | high18503.txt | 3x3or7wpzz0sk7wrihthgp3o7mw8l9 | race | Alfred Nobel, the great Swedish inventor and industrialist, was born in Stockholm on October 21, 1833, but moved to Russia with his parents in 1842, where his father, Immanuel, made a strong position for himself in the engineering industry.
Immanuel Nobel invented landmine and made a lot of money from the government ... | 5 | In what year? | 1833 | 1833 | 97 | 101 | false |
1,638 | high18503.txt | high18503.txt | 3x3or7wpzz0sk7wrihthgp3o7mw8l9 | race | Alfred Nobel, the great Swedish inventor and industrialist, was born in Stockholm on October 21, 1833, but moved to Russia with his parents in 1842, where his father, Immanuel, made a strong position for himself in the engineering industry.
Immanuel Nobel invented landmine and made a lot of money from the government ... | 6 | Where did his family move? | Russia | Russia | 116 | 122 | false |
1,638 | high18503.txt | high18503.txt | 3x3or7wpzz0sk7wrihthgp3o7mw8l9 | race | Alfred Nobel, the great Swedish inventor and industrialist, was born in Stockholm on October 21, 1833, but moved to Russia with his parents in 1842, where his father, Immanuel, made a strong position for himself in the engineering industry.
Immanuel Nobel invented landmine and made a lot of money from the government ... | 7 | When did that happen? | in 1842 | 1842 | 143 | 147 | false |
1,638 | high18503.txt | high18503.txt | 3x3or7wpzz0sk7wrihthgp3o7mw8l9 | race | Alfred Nobel, the great Swedish inventor and industrialist, was born in Stockholm on October 21, 1833, but moved to Russia with his parents in 1842, where his father, Immanuel, made a strong position for himself in the engineering industry.
Immanuel Nobel invented landmine and made a lot of money from the government ... | 8 | What kind of profession did his dad do? | engineering | engineering | 219 | 230 | false |
1,638 | high18503.txt | high18503.txt | 3x3or7wpzz0sk7wrihthgp3o7mw8l9 | race | Alfred Nobel, the great Swedish inventor and industrialist, was born in Stockholm on October 21, 1833, but moved to Russia with his parents in 1842, where his father, Immanuel, made a strong position for himself in the engineering industry.
Immanuel Nobel invented landmine and made a lot of money from the government ... | 9 | Did his father make a good amount of money? | yes | made a lot | 280 | 291 | false |
1,638 | high18503.txt | high18503.txt | 3x3or7wpzz0sk7wrihthgp3o7mw8l9 | race | Alfred Nobel, the great Swedish inventor and industrialist, was born in Stockholm on October 21, 1833, but moved to Russia with his parents in 1842, where his father, Immanuel, made a strong position for himself in the engineering industry.
Immanuel Nobel invented landmine and made a lot of money from the government ... | 10 | Did he lose it at some point? | yes | bankrupt | 353 | 361 | false |
1,638 | high18503.txt | high18503.txt | 3x3or7wpzz0sk7wrihthgp3o7mw8l9 | race | Alfred Nobel, the great Swedish inventor and industrialist, was born in Stockholm on October 21, 1833, but moved to Russia with his parents in 1842, where his father, Immanuel, made a strong position for himself in the engineering industry.
Immanuel Nobel invented landmine and made a lot of money from the government ... | 11 | When did they go back to their home country? | 1859 | 1859 | 413 | 417 | false |
1,638 | high18503.txt | high18503.txt | 3x3or7wpzz0sk7wrihthgp3o7mw8l9 | race | Alfred Nobel, the great Swedish inventor and industrialist, was born in Stockholm on October 21, 1833, but moved to Russia with his parents in 1842, where his father, Immanuel, made a strong position for himself in the engineering industry.
Immanuel Nobel invented landmine and made a lot of money from the government ... | 12 | What profession was Nobel the son? | an inventor | inventor | 32 | 41 | false |
1,638 | high18503.txt | high18503.txt | 3x3or7wpzz0sk7wrihthgp3o7mw8l9 | race | Alfred Nobel, the great Swedish inventor and industrialist, was born in Stockholm on October 21, 1833, but moved to Russia with his parents in 1842, where his father, Immanuel, made a strong position for himself in the engineering industry.
Immanuel Nobel invented landmine and made a lot of money from the government ... | 13 | What did he work on? | explosives | explosives | 455 | 465 | false |
1,638 | high18503.txt | high18503.txt | 3x3or7wpzz0sk7wrihthgp3o7mw8l9 | race | Alfred Nobel, the great Swedish inventor and industrialist, was born in Stockholm on October 21, 1833, but moved to Russia with his parents in 1842, where his father, Immanuel, made a strong position for himself in the engineering industry.
Immanuel Nobel invented landmine and made a lot of money from the government ... | 14 | Did he have a high education experience? | no | never been to school or university | 494 | 528 | false |
1,638 | high18503.txt | high18503.txt | 3x3or7wpzz0sk7wrihthgp3o7mw8l9 | race | Alfred Nobel, the great Swedish inventor and industrialist, was born in Stockholm on October 21, 1833, but moved to Russia with his parents in 1842, where his father, Immanuel, made a strong position for himself in the engineering industry.
Immanuel Nobel invented landmine and made a lot of money from the government ... | 15 | What languages could he speak? | Swedish, Russian, German, French and English | speaking Swedish, Russian, German, French and English | 637 | 690 | false |
1,638 | high18503.txt | high18503.txt | 3x3or7wpzz0sk7wrihthgp3o7mw8l9 | race | Alfred Nobel, the great Swedish inventor and industrialist, was born in Stockholm on October 21, 1833, but moved to Russia with his parents in 1842, where his father, Immanuel, made a strong position for himself in the engineering industry.
Immanuel Nobel invented landmine and made a lot of money from the government ... | 16 | How many companies did he build? | 80 | 80 | 709 | 711 | false |
1,638 | high18503.txt | high18503.txt | 3x3or7wpzz0sk7wrihthgp3o7mw8l9 | race | Alfred Nobel, the great Swedish inventor and industrialist, was born in Stockholm on October 21, 1833, but moved to Russia with his parents in 1842, where his father, Immanuel, made a strong position for himself in the engineering industry.
Immanuel Nobel invented landmine and made a lot of money from the government ... | 17 | Where these companies in multiple cities? | 20 different | 20 different | 724 | 738 | false |
1,638 | high18503.txt | high18503.txt | 3x3or7wpzz0sk7wrihthgp3o7mw8l9 | race | Alfred Nobel, the great Swedish inventor and industrialist, was born in Stockholm on October 21, 1833, but moved to Russia with his parents in 1842, where his father, Immanuel, made a strong position for himself in the engineering industry.
Immanuel Nobel invented landmine and made a lot of money from the government ... | 18 | In how many countries? | 20 | 20 | 725 | 727 | false |
1,638 | high18503.txt | high18503.txt | 3x3or7wpzz0sk7wrihthgp3o7mw8l9 | race | Alfred Nobel, the great Swedish inventor and industrialist, was born in Stockholm on October 21, 1833, but moved to Russia with his parents in 1842, where his father, Immanuel, made a strong position for himself in the engineering industry.
Immanuel Nobel invented landmine and made a lot of money from the government ... | 19 | Was finding the purpose of life important to him? | yes | always searching for a meaning to life. He spent much time and money | 758 | 826 | false |
1,638 | high18503.txt | high18503.txt | 3x3or7wpzz0sk7wrihthgp3o7mw8l9 | race | Alfred Nobel, the great Swedish inventor and industrialist, was born in Stockholm on October 21, 1833, but moved to Russia with his parents in 1842, where his father, Immanuel, made a strong position for himself in the engineering industry.
Immanuel Nobel invented landmine and made a lot of money from the government ... | 20 | Where did he die? | Italy | Italy | 909 | 915 | false |
1,638 | high18503.txt | high18503.txt | 3x3or7wpzz0sk7wrihthgp3o7mw8l9 | race | Alfred Nobel, the great Swedish inventor and industrialist, was born in Stockholm on October 21, 1833, but moved to Russia with his parents in 1842, where his father, Immanuel, made a strong position for himself in the engineering industry.
Immanuel Nobel invented landmine and made a lot of money from the government ... | 21 | What does his will fund? | physics, chemistry, physiology, medicine, literature and peace | physics, chemistry, physiology, medicine, literature and peace | 1,011 | 1,073 | false |
1,638 | high18503.txt | high18503.txt | 3x3or7wpzz0sk7wrihthgp3o7mw8l9 | race | Alfred Nobel, the great Swedish inventor and industrialist, was born in Stockholm on October 21, 1833, but moved to Russia with his parents in 1842, where his father, Immanuel, made a strong position for himself in the engineering industry.
Immanuel Nobel invented landmine and made a lot of money from the government ... | 22 | Will he be remembered? | yes | remembered | 1,136 | 1,146 | false |
1,639 | mc160.test.22 | mc160.test.22 | 3mrnmeiqw56412sizp4x2hhphfadl4 | mctest | Jim and Linda are our neighbors. Jim and Linda have an old dog named Reggie. We love our neighbors. They are like the perfect grandparents. We watch Reggie for them when they go out of town to see their children and grandchildren. Reggie is so fun to have around. He is 14 years old. We have 3 other dogs and Reggie is o... | 1 | Who is Linda? | neighbor | Linda are our neighbors | 8 | 31 | false |
1,639 | mc160.test.22 | mc160.test.22 | 3mrnmeiqw56412sizp4x2hhphfadl4 | mctest | Jim and Linda are our neighbors. Jim and Linda have an old dog named Reggie. We love our neighbors. They are like the perfect grandparents. We watch Reggie for them when they go out of town to see their children and grandchildren. Reggie is so fun to have around. He is 14 years old. We have 3 other dogs and Reggie is o... | 2 | Who is Jim? | neighbor | Jim and Linda are our neighbors | 0 | 31 | false |
1,639 | mc160.test.22 | mc160.test.22 | 3mrnmeiqw56412sizp4x2hhphfadl4 | mctest | Jim and Linda are our neighbors. Jim and Linda have an old dog named Reggie. We love our neighbors. They are like the perfect grandparents. We watch Reggie for them when they go out of town to see their children and grandchildren. Reggie is so fun to have around. He is 14 years old. We have 3 other dogs and Reggie is o... | 3 | How is Jim related to Linda? | son | Jim picked up mom's guitar | 607 | 633 | true |
1,639 | mc160.test.22 | mc160.test.22 | 3mrnmeiqw56412sizp4x2hhphfadl4 | mctest | Jim and Linda are our neighbors. Jim and Linda have an old dog named Reggie. We love our neighbors. They are like the perfect grandparents. We watch Reggie for them when they go out of town to see their children and grandchildren. Reggie is so fun to have around. He is 14 years old. We have 3 other dogs and Reggie is o... | 4 | Who is Reggie? | dog | old dog named Reggie | 55 | 75 | false |
1,639 | mc160.test.22 | mc160.test.22 | 3mrnmeiqw56412sizp4x2hhphfadl4 | mctest | Jim and Linda are our neighbors. Jim and Linda have an old dog named Reggie. We love our neighbors. They are like the perfect grandparents. We watch Reggie for them when they go out of town to see their children and grandchildren. Reggie is so fun to have around. He is 14 years old. We have 3 other dogs and Reggie is o... | 5 | How old is he? | 14 | He is 14 years old | 264 | 282 | false |
1,639 | mc160.test.22 | mc160.test.22 | 3mrnmeiqw56412sizp4x2hhphfadl4 | mctest | Jim and Linda are our neighbors. Jim and Linda have an old dog named Reggie. We love our neighbors. They are like the perfect grandparents. We watch Reggie for them when they go out of town to see their children and grandchildren. Reggie is so fun to have around. He is 14 years old. We have 3 other dogs and Reggie is o... | 6 | How many dogs do we have? | Three | We have 3 other dogs | 284 | 304 | false |
1,639 | mc160.test.22 | mc160.test.22 | 3mrnmeiqw56412sizp4x2hhphfadl4 | mctest | Jim and Linda are our neighbors. Jim and Linda have an old dog named Reggie. We love our neighbors. They are like the perfect grandparents. We watch Reggie for them when they go out of town to see their children and grandchildren. Reggie is so fun to have around. He is 14 years old. We have 3 other dogs and Reggie is o... | 7 | What are we doing now? | watching Reggie | We are watching Reggie now | 429 | 455 | false |
1,639 | mc160.test.22 | mc160.test.22 | 3mrnmeiqw56412sizp4x2hhphfadl4 | mctest | Jim and Linda are our neighbors. Jim and Linda have an old dog named Reggie. We love our neighbors. They are like the perfect grandparents. We watch Reggie for them when they go out of town to see their children and grandchildren. Reggie is so fun to have around. He is 14 years old. We have 3 other dogs and Reggie is o... | 8 | For how long? | 3 weeks | He is staying with us for 3 weeks | 457 | 490 | false |
1,639 | mc160.test.22 | mc160.test.22 | 3mrnmeiqw56412sizp4x2hhphfadl4 | mctest | Jim and Linda are our neighbors. Jim and Linda have an old dog named Reggie. We love our neighbors. They are like the perfect grandparents. We watch Reggie for them when they go out of town to see their children and grandchildren. Reggie is so fun to have around. He is 14 years old. We have 3 other dogs and Reggie is o... | 9 | What does he like to do? | go for rides | He likes to go for rides in the car | 492 | 527 | false |
1,639 | mc160.test.22 | mc160.test.22 | 3mrnmeiqw56412sizp4x2hhphfadl4 | mctest | Jim and Linda are our neighbors. Jim and Linda have an old dog named Reggie. We love our neighbors. They are like the perfect grandparents. We watch Reggie for them when they go out of town to see their children and grandchildren. Reggie is so fun to have around. He is 14 years old. We have 3 other dogs and Reggie is o... | 10 | What did Jim do after dropping off Reggie? | played a song | Jim picked up mom's guitar and played us a song | 607 | 654 | false |
1,639 | mc160.test.22 | mc160.test.22 | 3mrnmeiqw56412sizp4x2hhphfadl4 | mctest | Jim and Linda are our neighbors. Jim and Linda have an old dog named Reggie. We love our neighbors. They are like the perfect grandparents. We watch Reggie for them when they go out of town to see their children and grandchildren. Reggie is so fun to have around. He is 14 years old. We have 3 other dogs and Reggie is o... | 11 | And then what? | Jim and Linda sang a song | Then Jim and Linda sang a song for us | 676 | 713 | false |
1,639 | mc160.test.22 | mc160.test.22 | 3mrnmeiqw56412sizp4x2hhphfadl4 | mctest | Jim and Linda are our neighbors. Jim and Linda have an old dog named Reggie. We love our neighbors. They are like the perfect grandparents. We watch Reggie for them when they go out of town to see their children and grandchildren. Reggie is so fun to have around. He is 14 years old. We have 3 other dogs and Reggie is o... | 12 | Does Reggie like other animals? | yes | He likes our dogs and cats. | 878 | 906 | false |
1,639 | mc160.test.22 | mc160.test.22 | 3mrnmeiqw56412sizp4x2hhphfadl4 | mctest | Jim and Linda are our neighbors. Jim and Linda have an old dog named Reggie. We love our neighbors. They are like the perfect grandparents. We watch Reggie for them when they go out of town to see their children and grandchildren. Reggie is so fun to have around. He is 14 years old. We have 3 other dogs and Reggie is o... | 13 | What other animals do we have? | dogs and cats | dogs and cats. | 891 | 905 | false |
1,640 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | 3j2uybxqqlcsjxoh09a0yrf9y0b060 | gutenberg | CHAPTER IX
A silence ensued, fraught with poignant fear for Helen, as she gazed into Bo's whitening face. She read her sister's mind. Bo was remembering tales of lost people who never were found.
"Me an' Milt get lost every day," said Roy. "You don't suppose any man can know all this big country. It's nothin' for u... | 1 | Who was Helen looking at? | Bo's face | A silence ensued, fraught with poignant fear for Helen, as she gazed into Bo's whitening face | 13 | 106 | false |
1,640 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | 3j2uybxqqlcsjxoh09a0yrf9y0b060 | gutenberg | CHAPTER IX
A silence ensued, fraught with poignant fear for Helen, as she gazed into Bo's whitening face. She read her sister's mind. Bo was remembering tales of lost people who never were found.
"Me an' Milt get lost every day," said Roy. "You don't suppose any man can know all this big country. It's nothin' for u... | 2 | Was it turning red? | No | A silence ensued, fraught with poignant fear for Helen, as she gazed into Bo's whitening face | 13 | 106 | false |
1,640 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | 3j2uybxqqlcsjxoh09a0yrf9y0b060 | gutenberg | CHAPTER IX
A silence ensued, fraught with poignant fear for Helen, as she gazed into Bo's whitening face. She read her sister's mind. Bo was remembering tales of lost people who never were found.
"Me an' Milt get lost every day," said Roy. "You don't suppose any man can know all this big country. It's nothin' for u... | 3 | What was Bo remembering? | Some tales | Bo was remembering tales of lost people who never were found | 136 | 196 | false |
1,640 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | 3j2uybxqqlcsjxoh09a0yrf9y0b060 | gutenberg | CHAPTER IX
A silence ensued, fraught with poignant fear for Helen, as she gazed into Bo's whitening face. She read her sister's mind. Bo was remembering tales of lost people who never were found.
"Me an' Milt get lost every day," said Roy. "You don't suppose any man can know all this big country. It's nothin' for u... | 4 | About what? | Lost people who never were found | Bo was remembering tales of lost people who never were found | 136 | 196 | false |
1,640 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | 3j2uybxqqlcsjxoh09a0yrf9y0b060 | gutenberg | CHAPTER IX
A silence ensued, fraught with poignant fear for Helen, as she gazed into Bo's whitening face. She read her sister's mind. Bo was remembering tales of lost people who never were found.
"Me an' Milt get lost every day," said Roy. "You don't suppose any man can know all this big country. It's nothin' for u... | 5 | Who was talking about getting lost? | Roy initially. | Me an' Milt get lost every day," said Roy. | 201 | 243 | false |
1,640 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | 3j2uybxqqlcsjxoh09a0yrf9y0b060 | gutenberg | CHAPTER IX
A silence ensued, fraught with poignant fear for Helen, as she gazed into Bo's whitening face. She read her sister's mind. Bo was remembering tales of lost people who never were found.
"Me an' Milt get lost every day," said Roy. "You don't suppose any man can know all this big country. It's nothin' for u... | 6 | Who did he say got lost with him? | Milt | Me an' Milt get lost every day," said Roy | 201 | 242 | false |
1,640 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | 3j2uybxqqlcsjxoh09a0yrf9y0b060 | gutenberg | CHAPTER IX
A silence ensued, fraught with poignant fear for Helen, as she gazed into Bo's whitening face. She read her sister's mind. Bo was remembering tales of lost people who never were found.
"Me an' Milt get lost every day," said Roy. "You don't suppose any man can know all this big country. It's nothin' for u... | 7 | What did Roy say he wanted a peek at? | Old Baldy. | All I need is a peek at Old Baldy. | 500 | 534 | false |
1,640 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | 3j2uybxqqlcsjxoh09a0yrf9y0b060 | gutenberg | CHAPTER IX
A silence ensued, fraught with poignant fear for Helen, as she gazed into Bo's whitening face. She read her sister's mind. Bo was remembering tales of lost people who never were found.
"Me an' Milt get lost every day," said Roy. "You don't suppose any man can know all this big country. It's nothin' for u... | 8 | What did Roy ride toward? | The westering sun, | He rode toward the westering sun, | 632 | 666 | false |
1,640 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | 3j2uybxqqlcsjxoh09a0yrf9y0b060 | gutenberg | CHAPTER IX
A silence ensued, fraught with poignant fear for Helen, as she gazed into Bo's whitening face. She read her sister's mind. Bo was remembering tales of lost people who never were found.
"Me an' Milt get lost every day," said Roy. "You don't suppose any man can know all this big country. It's nothin' for u... | 9 | Did this make Helen feel confident? | Yes | Helen's confidence returned as Roy led off at a fast trot | 574 | 631 | false |
1,640 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | 3j2uybxqqlcsjxoh09a0yrf9y0b060 | gutenberg | CHAPTER IX
A silence ensued, fraught with poignant fear for Helen, as she gazed into Bo's whitening face. She read her sister's mind. Bo was remembering tales of lost people who never were found.
"Me an' Milt get lost every day," said Roy. "You don't suppose any man can know all this big country. It's nothin' for u... | 10 | What was Roy keeping to? | The ridge | He rode toward the westering sun, keeping to the ridge they had ascended | 633 | 705 | false |
1,640 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | 3j2uybxqqlcsjxoh09a0yrf9y0b060 | gutenberg | CHAPTER IX
A silence ensued, fraught with poignant fear for Helen, as she gazed into Bo's whitening face. She read her sister's mind. Bo was remembering tales of lost people who never were found.
"Me an' Milt get lost every day," said Roy. "You don't suppose any man can know all this big country. It's nothin' for u... | 11 | Were they ascending it? | Yes | He rode toward the westering sun, keeping to the ridge they had ascended | 633 | 705 | false |
1,640 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | 3j2uybxqqlcsjxoh09a0yrf9y0b060 | gutenberg | CHAPTER IX
A silence ensued, fraught with poignant fear for Helen, as she gazed into Bo's whitening face. She read her sister's mind. Bo was remembering tales of lost people who never were found.
"Me an' Milt get lost every day," said Roy. "You don't suppose any man can know all this big country. It's nothin' for u... | 12 | Where were they going to set up camp? | Yes | Not so far off the track," said Roy, as he wheeled his horse. "We'll make camp in Milt's senaca to-night. | 873 | 978 | false |
1,640 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | 3j2uybxqqlcsjxoh09a0yrf9y0b060 | gutenberg | CHAPTER IX
A silence ensued, fraught with poignant fear for Helen, as she gazed into Bo's whitening face. She read her sister's mind. Bo was remembering tales of lost people who never were found.
"Me an' Milt get lost every day," said Roy. "You don't suppose any man can know all this big country. It's nothin' for u... | 13 | Where exactly? | Milt's senaca | We'll make camp in Milt's senaca to-night | 936 | 977 | false |
1,640 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | 3j2uybxqqlcsjxoh09a0yrf9y0b060 | gutenberg | CHAPTER IX
A silence ensued, fraught with poignant fear for Helen, as she gazed into Bo's whitening face. She read her sister's mind. Bo was remembering tales of lost people who never were found.
"Me an' Milt get lost every day," said Roy. "You don't suppose any man can know all this big country. It's nothin' for u... | 14 | What did the horses do in the duff? | They sometimes sank knee-deep | The horses, laboring slowly, sometimes sank knee-deep into the brown duff | 1,409 | 1,482 | false |
1,640 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | 3j2uybxqqlcsjxoh09a0yrf9y0b060 | gutenberg | CHAPTER IX
A silence ensued, fraught with poignant fear for Helen, as she gazed into Bo's whitening face. She read her sister's mind. Bo was remembering tales of lost people who never were found.
"Me an' Milt get lost every day," said Roy. "You don't suppose any man can know all this big country. It's nothin' for u... | 15 | What was on the tree trunks? | Gray moss | Gray moss festooned the tree-trunks and an amber-green moss grew thick on the rotting logs | 1,484 | 1,574 | false |
1,640 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | 3j2uybxqqlcsjxoh09a0yrf9y0b060 | gutenberg | CHAPTER IX
A silence ensued, fraught with poignant fear for Helen, as she gazed into Bo's whitening face. She read her sister's mind. Bo was remembering tales of lost people who never were found.
"Me an' Milt get lost every day," said Roy. "You don't suppose any man can know all this big country. It's nothin' for u... | 16 | What was on the logs? | Amber-green moss | Gray moss festooned the tree-trunks and an amber-green moss grew thick on the rotting logs | 1,483 | 1,574 | false |
1,640 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | 3j2uybxqqlcsjxoh09a0yrf9y0b060 | gutenberg | CHAPTER IX
A silence ensued, fraught with poignant fear for Helen, as she gazed into Bo's whitening face. She read her sister's mind. Bo was remembering tales of lost people who never were found.
"Me an' Milt get lost every day," said Roy. "You don't suppose any man can know all this big country. It's nothin' for u... | 17 | Were the logs healthy-looking? | No | Gray moss festooned the tree-trunks and an amber-green moss grew thick on the rotting logs | 1,484 | 1,574 | false |
1,640 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | 3j2uybxqqlcsjxoh09a0yrf9y0b060 | gutenberg | CHAPTER IX
A silence ensued, fraught with poignant fear for Helen, as she gazed into Bo's whitening face. She read her sister's mind. Bo was remembering tales of lost people who never were found.
"Me an' Milt get lost every day," said Roy. "You don't suppose any man can know all this big country. It's nothin' for u... | 18 | What kind of logs were they described as? | Rotting logs | Gray moss festooned the tree-trunks and an amber-green moss grew thick on the rotting logs | 1,484 | 1,574 | false |
1,640 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | 3j2uybxqqlcsjxoh09a0yrf9y0b060 | gutenberg | CHAPTER IX
A silence ensued, fraught with poignant fear for Helen, as she gazed into Bo's whitening face. She read her sister's mind. Bo was remembering tales of lost people who never were found.
"Me an' Milt get lost every day," said Roy. "You don't suppose any man can know all this big country. It's nothin' for u... | 19 | Was the moss growing thick or thin on those logs? | Thick | Gray moss festooned the tree-trunks and an amber-green moss grew thick on the rotting logs | 1,483 | 1,574 | false |
1,640 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | data/gutenberg/txt/Zane Grey___The Man of the Forest.txt/CHAPTER IX_2cdab0f63f3b246287d209fd8f2d96ad34c406129a68e0016b8ef64 | 3j2uybxqqlcsjxoh09a0yrf9y0b060 | gutenberg | CHAPTER IX
A silence ensued, fraught with poignant fear for Helen, as she gazed into Bo's whitening face. She read her sister's mind. Bo was remembering tales of lost people who never were found.
"Me an' Milt get lost every day," said Roy. "You don't suppose any man can know all this big country. It's nothin' for u... | 20 | What time of day did the denseness of the forest make it seem like? | Twilight | So dense was this forest that twilight seemed to have come | 1,230 | 1,288 | false |
1,641 | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | 37z929rlg98ym4j55o1dj7d6d1dst0 | cnn | New York (CNN) -- A New York man arrested in connection with the stabbing of two children in Brooklyn may be linked to another stabbing in a Manhattan subway, a law enforcement official told CNN Thursday.
Police believe Daniel St. Hubert, 27, was out on parole when he stabbed two young children inside an elevator -- ... | 1 | Who was arrested? | Daniel St. Hubert, 27 | Police believe Daniel St. Hubert, 27 | 207 | 243 | false |
1,641 | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | 37z929rlg98ym4j55o1dj7d6d1dst0 | cnn | New York (CNN) -- A New York man arrested in connection with the stabbing of two children in Brooklyn may be linked to another stabbing in a Manhattan subway, a law enforcement official told CNN Thursday.
Police believe Daniel St. Hubert, 27, was out on parole when he stabbed two young children inside an elevator -- ... | 2 | When? | around 8 p.m. Wednesday | around 8 p.m. Wednesday | 381 | 404 | false |
1,641 | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | 37z929rlg98ym4j55o1dj7d6d1dst0 | cnn | New York (CNN) -- A New York man arrested in connection with the stabbing of two children in Brooklyn may be linked to another stabbing in a Manhattan subway, a law enforcement official told CNN Thursday.
Police believe Daniel St. Hubert, 27, was out on parole when he stabbed two young children inside an elevator -- ... | 3 | Was he in prison earlier? | yes | since his release from prison on May 23 | 817 | 856 | false |
1,641 | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | 37z929rlg98ym4j55o1dj7d6d1dst0 | cnn | New York (CNN) -- A New York man arrested in connection with the stabbing of two children in Brooklyn may be linked to another stabbing in a Manhattan subway, a law enforcement official told CNN Thursday.
Police believe Daniel St. Hubert, 27, was out on parole when he stabbed two young children inside an elevator -- ... | 4 | before when? | May 23 | release from prison on May 23 | 827 | 856 | false |
1,641 | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | 37z929rlg98ym4j55o1dj7d6d1dst0 | cnn | New York (CNN) -- A New York man arrested in connection with the stabbing of two children in Brooklyn may be linked to another stabbing in a Manhattan subway, a law enforcement official told CNN Thursday.
Police believe Daniel St. Hubert, 27, was out on parole when he stabbed two young children inside an elevator -- ... | 5 | How many arrests he had? | nine arrests | including nine arrests, | 963 | 986 | false |
1,641 | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | 37z929rlg98ym4j55o1dj7d6d1dst0 | cnn | New York (CNN) -- A New York man arrested in connection with the stabbing of two children in Brooklyn may be linked to another stabbing in a Manhattan subway, a law enforcement official told CNN Thursday.
Police believe Daniel St. Hubert, 27, was out on parole when he stabbed two young children inside an elevator -- ... | 6 | Who is Boyce? | Chief of Detectives | Chief of Detectives Robert Boyce | 450 | 482 | false |
1,641 | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | 37z929rlg98ym4j55o1dj7d6d1dst0 | cnn | New York (CNN) -- A New York man arrested in connection with the stabbing of two children in Brooklyn may be linked to another stabbing in a Manhattan subway, a law enforcement official told CNN Thursday.
Police believe Daniel St. Hubert, 27, was out on parole when he stabbed two young children inside an elevator -- ... | 7 | What he identified? | he identified St. Hubert by name | Chief of Detectives Robert Boyce identified St. Hubert by name | 450 | 513 | false |
1,641 | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | 37z929rlg98ym4j55o1dj7d6d1dst0 | cnn | New York (CNN) -- A New York man arrested in connection with the stabbing of two children in Brooklyn may be linked to another stabbing in a Manhattan subway, a law enforcement official told CNN Thursday.
Police believe Daniel St. Hubert, 27, was out on parole when he stabbed two young children inside an elevator -- ... | 8 | For what? | for the first time | for the first time as the suspect in the attack | 513 | 560 | false |
1,641 | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | 37z929rlg98ym4j55o1dj7d6d1dst0 | cnn | New York (CNN) -- A New York man arrested in connection with the stabbing of two children in Brooklyn may be linked to another stabbing in a Manhattan subway, a law enforcement official told CNN Thursday.
Police believe Daniel St. Hubert, 27, was out on parole when he stabbed two young children inside an elevator -- ... | 9 | For what reason? | to identify him as the suspect | for the first time as the suspect in the attack. | 512 | 562 | false |
1,641 | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | 37z929rlg98ym4j55o1dj7d6d1dst0 | cnn | New York (CNN) -- A New York man arrested in connection with the stabbing of two children in Brooklyn may be linked to another stabbing in a Manhattan subway, a law enforcement official told CNN Thursday.
Police believe Daniel St. Hubert, 27, was out on parole when he stabbed two young children inside an elevator -- ... | 10 | suspect for what crime? | the stabbing of two children | the stabbing of two children in Brooklyn | 61 | 101 | false |
1,641 | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | 37z929rlg98ym4j55o1dj7d6d1dst0 | cnn | New York (CNN) -- A New York man arrested in connection with the stabbing of two children in Brooklyn may be linked to another stabbing in a Manhattan subway, a law enforcement official told CNN Thursday.
Police believe Daniel St. Hubert, 27, was out on parole when he stabbed two young children inside an elevator -- ... | 11 | What are their names? | Prince Joshua and Mikayla Capers | Prince Joshua "PJ" Avitto and 7-year-old Mikayla Capers | 1,228 | 1,283 | false |
1,641 | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | 37z929rlg98ym4j55o1dj7d6d1dst0 | cnn | New York (CNN) -- A New York man arrested in connection with the stabbing of two children in Brooklyn may be linked to another stabbing in a Manhattan subway, a law enforcement official told CNN Thursday.
Police believe Daniel St. Hubert, 27, was out on parole when he stabbed two young children inside an elevator -- ... | 12 | How old was Prince? | Six | 6-year-old Prince Joshua "PJ" Avitto | 1,216 | 1,254 | false |
1,641 | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | 37z929rlg98ym4j55o1dj7d6d1dst0 | cnn | New York (CNN) -- A New York man arrested in connection with the stabbing of two children in Brooklyn may be linked to another stabbing in a Manhattan subway, a law enforcement official told CNN Thursday.
Police believe Daniel St. Hubert, 27, was out on parole when he stabbed two young children inside an elevator -- ... | 13 | And Mikayla? | Seven | 7-year-old Mikayla Capers | 1,258 | 1,283 | false |
1,641 | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | cnn_1e95d8aa085f3c037ed96f17a13fd507b8c11027.story | 37z929rlg98ym4j55o1dj7d6d1dst0 | cnn | New York (CNN) -- A New York man arrested in connection with the stabbing of two children in Brooklyn may be linked to another stabbing in a Manhattan subway, a law enforcement official told CNN Thursday.
Police believe Daniel St. Hubert, 27, was out on parole when he stabbed two young children inside an elevator -- ... | 14 | Where were they killed? | inside an elevator | inside an elevator at a public housing complex | 1,284 | 1,331 | false |
1,642 | high15143.txt | high15143.txt | 35gmh2sv3ehhzt9f8cv90g34dtheob | race | Tuesday
October 23 11:00 am
World Tree Day; World Tree Cuisine
For World Tree Day, Snook gives out badges to everyone who is nice to the tree, but Bob can't think of what to do -until he comes up with a song.Also: Madge and Snook plan a party to celebrate the World Tree's birthday.
Wednesday
October 21 11:00a... | 1 | What does Snook give out on World Tree Day? | Badges | For World Tree Day, Snook gives out badges | 69 | 111 | false |
1,643 | data/gutenberg/txt/Edward Stratemeyer___Dave Porter At Bear Camp.txt/CHAPTER XXVII_520ac41553a576a664b6968a13515f2b8308a5948181e638852b469 | data/gutenberg/txt/Edward Stratemeyer___Dave Porter At Bear Camp.txt/CHAPTER XXVII_520ac41553a576a664b6968a13515f2b8308a5948181e638852b469 | 3vnl7uk1xfjpizejz41ec8uroa7ftq | gutenberg | CHAPTER XXVII
WHAT HAPPENED IN THE NIGHT
That evening the sole topic of conversation at Bear Camp was the news concerning Dave. The other lads could not bear to question Laura or Jessie on the subject, knowing how badly both of them must feel; but they asked Belle to tell all she knew, and also quizzed Mrs. Wadswor... | 1 | what was the only thing people were talking about? | Dave | Dave | 126 | 130 | false |
1,643 | data/gutenberg/txt/Edward Stratemeyer___Dave Porter At Bear Camp.txt/CHAPTER XXVII_520ac41553a576a664b6968a13515f2b8308a5948181e638852b469 | data/gutenberg/txt/Edward Stratemeyer___Dave Porter At Bear Camp.txt/CHAPTER XXVII_520ac41553a576a664b6968a13515f2b8308a5948181e638852b469 | 3vnl7uk1xfjpizejz41ec8uroa7ftq | gutenberg | CHAPTER XXVII
WHAT HAPPENED IN THE NIGHT
That evening the sole topic of conversation at Bear Camp was the news concerning Dave. The other lads could not bear to question Laura or Jessie on the subject, knowing how badly both of them must feel; but they asked Belle to tell all she knew, and also quizzed Mrs. Wadswor... | 2 | where were they talking? | Bear Camp | Bear Camp | 92 | 101 | false |
1,643 | data/gutenberg/txt/Edward Stratemeyer___Dave Porter At Bear Camp.txt/CHAPTER XXVII_520ac41553a576a664b6968a13515f2b8308a5948181e638852b469 | data/gutenberg/txt/Edward Stratemeyer___Dave Porter At Bear Camp.txt/CHAPTER XXVII_520ac41553a576a664b6968a13515f2b8308a5948181e638852b469 | 3vnl7uk1xfjpizejz41ec8uroa7ftq | gutenberg | CHAPTER XXVII
WHAT HAPPENED IN THE NIGHT
That evening the sole topic of conversation at Bear Camp was the news concerning Dave. The other lads could not bear to question Laura or Jessie on the subject, knowing how badly both of them must feel; but they asked Belle to tell all she knew, and also quizzed Mrs. Wadswor... | 3 | during the morning? | evening | evening | 50 | 57 | false |
1,643 | data/gutenberg/txt/Edward Stratemeyer___Dave Porter At Bear Camp.txt/CHAPTER XXVII_520ac41553a576a664b6968a13515f2b8308a5948181e638852b469 | data/gutenberg/txt/Edward Stratemeyer___Dave Porter At Bear Camp.txt/CHAPTER XXVII_520ac41553a576a664b6968a13515f2b8308a5948181e638852b469 | 3vnl7uk1xfjpizejz41ec8uroa7ftq | gutenberg | CHAPTER XXVII
WHAT HAPPENED IN THE NIGHT
That evening the sole topic of conversation at Bear Camp was the news concerning Dave. The other lads could not bear to question Laura or Jessie on the subject, knowing how badly both of them must feel; but they asked Belle to tell all she knew, and also quizzed Mrs. Wadswor... | 4 | what is his last name? | Porter | Porter | 881 | 887 | false |
1,643 | data/gutenberg/txt/Edward Stratemeyer___Dave Porter At Bear Camp.txt/CHAPTER XXVII_520ac41553a576a664b6968a13515f2b8308a5948181e638852b469 | data/gutenberg/txt/Edward Stratemeyer___Dave Porter At Bear Camp.txt/CHAPTER XXVII_520ac41553a576a664b6968a13515f2b8308a5948181e638852b469 | 3vnl7uk1xfjpizejz41ec8uroa7ftq | gutenberg | CHAPTER XXVII
WHAT HAPPENED IN THE NIGHT
That evening the sole topic of conversation at Bear Camp was the news concerning Dave. The other lads could not bear to question Laura or Jessie on the subject, knowing how badly both of them must feel; but they asked Belle to tell all she knew, and also quizzed Mrs. Wadswor... | 5 | what are the surnames of the two married ladies? | Wadsworth and Basswood | Wadsworth | 313 | 322 | false |
1,643 | data/gutenberg/txt/Edward Stratemeyer___Dave Porter At Bear Camp.txt/CHAPTER XXVII_520ac41553a576a664b6968a13515f2b8308a5948181e638852b469 | data/gutenberg/txt/Edward Stratemeyer___Dave Porter At Bear Camp.txt/CHAPTER XXVII_520ac41553a576a664b6968a13515f2b8308a5948181e638852b469 | 3vnl7uk1xfjpizejz41ec8uroa7ftq | gutenberg | CHAPTER XXVII
WHAT HAPPENED IN THE NIGHT
That evening the sole topic of conversation at Bear Camp was the news concerning Dave. The other lads could not bear to question Laura or Jessie on the subject, knowing how badly both of them must feel; but they asked Belle to tell all she knew, and also quizzed Mrs. Wadswor... | 6 | did the first one suggest something? | Yes. | Should they find out that he is not a Porter, I think I would be strongly in favor of my husband adopting him." | 1,219 | 1,331 | false |
1,643 | data/gutenberg/txt/Edward Stratemeyer___Dave Porter At Bear Camp.txt/CHAPTER XXVII_520ac41553a576a664b6968a13515f2b8308a5948181e638852b469 | data/gutenberg/txt/Edward Stratemeyer___Dave Porter At Bear Camp.txt/CHAPTER XXVII_520ac41553a576a664b6968a13515f2b8308a5948181e638852b469 | 3vnl7uk1xfjpizejz41ec8uroa7ftq | gutenberg | CHAPTER XXVII
WHAT HAPPENED IN THE NIGHT
That evening the sole topic of conversation at Bear Camp was the news concerning Dave. The other lads could not bear to question Laura or Jessie on the subject, knowing how badly both of them must feel; but they asked Belle to tell all she knew, and also quizzed Mrs. Wadswor... | 7 | who likes dave? | Mrs. Wadsworth | Mrs. Wadsworth | 1,202 | 1,216 | false |
1,643 | data/gutenberg/txt/Edward Stratemeyer___Dave Porter At Bear Camp.txt/CHAPTER XXVII_520ac41553a576a664b6968a13515f2b8308a5948181e638852b469 | data/gutenberg/txt/Edward Stratemeyer___Dave Porter At Bear Camp.txt/CHAPTER XXVII_520ac41553a576a664b6968a13515f2b8308a5948181e638852b469 | 3vnl7uk1xfjpizejz41ec8uroa7ftq | gutenberg | CHAPTER XXVII
WHAT HAPPENED IN THE NIGHT
That evening the sole topic of conversation at Bear Camp was the news concerning Dave. The other lads could not bear to question Laura or Jessie on the subject, knowing how badly both of them must feel; but they asked Belle to tell all she knew, and also quizzed Mrs. Wadswor... | 8 | who was asked something? | Belle | Belle | 263 | 268 | false |
1,643 | data/gutenberg/txt/Edward Stratemeyer___Dave Porter At Bear Camp.txt/CHAPTER XXVII_520ac41553a576a664b6968a13515f2b8308a5948181e638852b469 | data/gutenberg/txt/Edward Stratemeyer___Dave Porter At Bear Camp.txt/CHAPTER XXVII_520ac41553a576a664b6968a13515f2b8308a5948181e638852b469 | 3vnl7uk1xfjpizejz41ec8uroa7ftq | gutenberg | CHAPTER XXVII
WHAT HAPPENED IN THE NIGHT
That evening the sole topic of conversation at Bear Camp was the news concerning Dave. The other lads could not bear to question Laura or Jessie on the subject, knowing how badly both of them must feel; but they asked Belle to tell all she knew, and also quizzed Mrs. Wadswor... | 9 | what was she asked? | tell all she knew | tell all she knew | 272 | 289 | false |
1,643 | data/gutenberg/txt/Edward Stratemeyer___Dave Porter At Bear Camp.txt/CHAPTER XXVII_520ac41553a576a664b6968a13515f2b8308a5948181e638852b469 | data/gutenberg/txt/Edward Stratemeyer___Dave Porter At Bear Camp.txt/CHAPTER XXVII_520ac41553a576a664b6968a13515f2b8308a5948181e638852b469 | 3vnl7uk1xfjpizejz41ec8uroa7ftq | gutenberg | CHAPTER XXVII
WHAT HAPPENED IN THE NIGHT
That evening the sole topic of conversation at Bear Camp was the news concerning Dave. The other lads could not bear to question Laura or Jessie on the subject, knowing how badly both of them must feel; but they asked Belle to tell all she knew, and also quizzed Mrs. Wadswor... | 10 | who was quizzed? | Mrs. Wadsworth and Mrs. Basswood | Mrs. Wadsworth and Mrs. Basswood | 308 | 340 | false |
1,644 | middle4049.txt | middle4049.txt | 3xlbsaq9z4c8pi8cndska4irbku7zi | race | Garry Golden is a futurist. Futurists are scientists who analyze the way the world is today and use that information.to predict what the world will be like in the future. Golden focuses on the study of transportation. He spends his days studying the relationships between cars, subways, and trains. But he's most excited... | 1 | What is the last name of this person?? | Golden | Garry Golden is a futurist. | 0 | 28 | false |
1,644 | middle4049.txt | middle4049.txt | 3xlbsaq9z4c8pi8cndska4irbku7zi | race | Garry Golden is a futurist. Futurists are scientists who analyze the way the world is today and use that information.to predict what the world will be like in the future. Golden focuses on the study of transportation. He spends his days studying the relationships between cars, subways, and trains. But he's most excited... | 2 | And the first? | Garry | Garry Golden i | 0 | 14 | false |
1,644 | middle4049.txt | middle4049.txt | 3xlbsaq9z4c8pi8cndska4irbku7zi | race | Garry Golden is a futurist. Futurists are scientists who analyze the way the world is today and use that information.to predict what the world will be like in the future. Golden focuses on the study of transportation. He spends his days studying the relationships between cars, subways, and trains. But he's most excited... | 3 | What are they? | a futurist | Garry Golden is a futurist | 0 | 26 | false |
1,644 | middle4049.txt | middle4049.txt | 3xlbsaq9z4c8pi8cndska4irbku7zi | race | Garry Golden is a futurist. Futurists are scientists who analyze the way the world is today and use that information.to predict what the world will be like in the future. Golden focuses on the study of transportation. He spends his days studying the relationships between cars, subways, and trains. But he's most excited... | 4 | What does he examine? | the study of transportation | Golden focuses on the study of transportation | 171 | 216 | false |
1,644 | middle4049.txt | middle4049.txt | 3xlbsaq9z4c8pi8cndska4irbku7zi | race | Garry Golden is a futurist. Futurists are scientists who analyze the way the world is today and use that information.to predict what the world will be like in the future. Golden focuses on the study of transportation. He spends his days studying the relationships between cars, subways, and trains. But he's most excited... | 5 | What does he especially look forward to? | The way relationships between cars, subways, trains will change in the future | But he's most excited about imagining the way these relationships will change in the future | 299 | 390 | false |
1,644 | middle4049.txt | middle4049.txt | 3xlbsaq9z4c8pi8cndska4irbku7zi | race | Garry Golden is a futurist. Futurists are scientists who analyze the way the world is today and use that information.to predict what the world will be like in the future. Golden focuses on the study of transportation. He spends his days studying the relationships between cars, subways, and trains. But he's most excited... | 6 | What do people spend too much time doing in big areas? | they spend hours driving from one side of the city to the other. | they spend hours driving from one side of the city to the other. | 456 | 521 | false |
1,644 | middle4049.txt | middle4049.txt | 3xlbsaq9z4c8pi8cndska4irbku7zi | race | Garry Golden is a futurist. Futurists are scientists who analyze the way the world is today and use that information.to predict what the world will be like in the future. Golden focuses on the study of transportation. He spends his days studying the relationships between cars, subways, and trains. But he's most excited... | 7 | Is there a shortage of anything there? | Yes | And there aren't enough buses and. subways. | 522 | 565 | false |
1,644 | middle4049.txt | middle4049.txt | 3xlbsaq9z4c8pi8cndska4irbku7zi | race | Garry Golden is a futurist. Futurists are scientists who analyze the way the world is today and use that information.to predict what the world will be like in the future. Golden focuses on the study of transportation. He spends his days studying the relationships between cars, subways, and trains. But he's most excited... | 8 | What is one thing? | buses | And there aren't enough buses | 522 | 551 | false |
1,644 | middle4049.txt | middle4049.txt | 3xlbsaq9z4c8pi8cndska4irbku7zi | race | Garry Golden is a futurist. Futurists are scientists who analyze the way the world is today and use that information.to predict what the world will be like in the future. Golden focuses on the study of transportation. He spends his days studying the relationships between cars, subways, and trains. But he's most excited... | 9 | What else? | subways | And there aren't enough buses and. subways | 522 | 564 | false |
1,644 | middle4049.txt | middle4049.txt | 3xlbsaq9z4c8pi8cndska4irbku7zi | race | Garry Golden is a futurist. Futurists are scientists who analyze the way the world is today and use that information.to predict what the world will be like in the future. Golden focuses on the study of transportation. He spends his days studying the relationships between cars, subways, and trains. But he's most excited... | 10 | What does he think will happen? | a trend toward fewer cars' in the future. | Golden sees a trend toward fewer cars' in the future. | 574 | 628 | false |
1,644 | middle4049.txt | middle4049.txt | 3xlbsaq9z4c8pi8cndska4irbku7zi | race | Garry Golden is a futurist. Futurists are scientists who analyze the way the world is today and use that information.to predict what the world will be like in the future. Golden focuses on the study of transportation. He spends his days studying the relationships between cars, subways, and trains. But he's most excited... | 11 | What is a disadvantage of automobiles? | Cities have a cost of car ownership, | He explains, "Cities have a cost of car ownership, | 629 | 680 | false |
1,644 | middle4049.txt | middle4049.txt | 3xlbsaq9z4c8pi8cndska4irbku7zi | race | Garry Golden is a futurist. Futurists are scientists who analyze the way the world is today and use that information.to predict what the world will be like in the future. Golden focuses on the study of transportation. He spends his days studying the relationships between cars, subways, and trains. But he's most excited... | 12 | What else? | Cars also take up a lot of space. | Cars also take up a lot of space. | 793 | 826 | false |
1,644 | middle4049.txt | middle4049.txt | 3xlbsaq9z4c8pi8cndska4irbku7zi | race | Garry Golden is a futurist. Futurists are scientists who analyze the way the world is today and use that information.to predict what the world will be like in the future. Golden focuses on the study of transportation. He spends his days studying the relationships between cars, subways, and trains. But he's most excited... | 13 | What does it waste? | having so many parking spaces is wasteful. | Golden points out that having so many parking spaces is wasteful. | 827 | 892 | false |
1,644 | middle4049.txt | middle4049.txt | 3xlbsaq9z4c8pi8cndska4irbku7zi | race | Garry Golden is a futurist. Futurists are scientists who analyze the way the world is today and use that information.to predict what the world will be like in the future. Golden focuses on the study of transportation. He spends his days studying the relationships between cars, subways, and trains. But he's most excited... | 14 | What might mayors do instead? | limit the number of cars people can have , | "I think cities will make new laws to limit the number of cars people can have , | 961 | 1,041 | false |
1,644 | middle4049.txt | middle4049.txt | 3xlbsaq9z4c8pi8cndska4irbku7zi | race | Garry Golden is a futurist. Futurists are scientists who analyze the way the world is today and use that information.to predict what the world will be like in the future. Golden focuses on the study of transportation. He spends his days studying the relationships between cars, subways, and trains. But he's most excited... | 15 | What will people start to use? | taxis, subways, and buses. | . "Instead, people will use taxis, subways, and buses. | 1,054 | 1,109 | false |
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