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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
926 | Hertfordshire.txt | Hertfordshire.txt | 39l1g8wvwqrtt3mhdqg25tmztz413j | wikipedia | Hatfield is a town and civil parish in Hertfordshire, England, in the borough of Welwyn Hatfield. It had a population of 29,616 in 2001, increasing to 39,201 at the 2011 Census. The settlement is of Saxon origin. Hatfield House, the home of the Marquess of Salisbury, is the nucleus of the old town. From the 1930s when ... | 13 | how did they become involved in the 30s? | de Havilland opened a factory | de Havilland opened a factory | 320 | 349 | false |
926 | Hertfordshire.txt | Hertfordshire.txt | 39l1g8wvwqrtt3mhdqg25tmztz413j | wikipedia | Hatfield is a town and civil parish in Hertfordshire, England, in the borough of Welwyn Hatfield. It had a population of 29,616 in 2001, increasing to 39,201 at the 2011 Census. The settlement is of Saxon origin. Hatfield House, the home of the Marquess of Salisbury, is the nucleus of the old town. From the 1930s when ... | 14 | is it known for modern architecture? | yes | modernist architecture | 588 | 611 | false |
926 | Hertfordshire.txt | Hertfordshire.txt | 39l1g8wvwqrtt3mhdqg25tmztz413j | wikipedia | Hatfield is a town and civil parish in Hertfordshire, England, in the borough of Welwyn Hatfield. It had a population of 29,616 in 2001, increasing to 39,201 at the 2011 Census. The settlement is of Saxon origin. Hatfield House, the home of the Marquess of Salisbury, is the nucleus of the old town. From the 1930s when ... | 15 | where is it in relation to London? | north of London | north of London | 689 | 704 | false |
926 | Hertfordshire.txt | Hertfordshire.txt | 39l1g8wvwqrtt3mhdqg25tmztz413j | wikipedia | Hatfield is a town and civil parish in Hertfordshire, England, in the borough of Welwyn Hatfield. It had a population of 29,616 in 2001, increasing to 39,201 at the 2011 Census. The settlement is of Saxon origin. Hatfield House, the home of the Marquess of Salisbury, is the nucleus of the old town. From the 1930s when ... | 16 | which train line connects the two? | the A1(M) | the A1(M) | 741 | 750 | false |
926 | Hertfordshire.txt | Hertfordshire.txt | 39l1g8wvwqrtt3mhdqg25tmztz413j | wikipedia | Hatfield is a town and civil parish in Hertfordshire, England, in the borough of Welwyn Hatfield. It had a population of 29,616 in 2001, increasing to 39,201 at the 2011 Census. The settlement is of Saxon origin. Hatfield House, the home of the Marquess of Salisbury, is the nucleus of the old town. From the 1930s when ... | 17 | are more people commuting for work? | unknown | unknown | -1 | -1 | false |
926 | Hertfordshire.txt | Hertfordshire.txt | 39l1g8wvwqrtt3mhdqg25tmztz413j | wikipedia | Hatfield is a town and civil parish in Hertfordshire, England, in the borough of Welwyn Hatfield. It had a population of 29,616 in 2001, increasing to 39,201 at the 2011 Census. The settlement is of Saxon origin. Hatfield House, the home of the Marquess of Salisbury, is the nucleus of the old town. From the 1930s when ... | 18 | are more people moving to London for work | yes | work in London moving to the area. | 886 | 921 | false |
926 | Hertfordshire.txt | Hertfordshire.txt | 39l1g8wvwqrtt3mhdqg25tmztz413j | wikipedia | Hatfield is a town and civil parish in Hertfordshire, England, in the borough of Welwyn Hatfield. It had a population of 29,616 in 2001, increasing to 39,201 at the 2011 Census. The settlement is of Saxon origin. Hatfield House, the home of the Marquess of Salisbury, is the nucleus of the old town. From the 1930s when ... | 19 | what was Hatfield known as in the Saxon period? | Hetfelle | Hetfelle | 965 | 974 | false |
926 | Hertfordshire.txt | Hertfordshire.txt | 39l1g8wvwqrtt3mhdqg25tmztz413j | wikipedia | Hatfield is a town and civil parish in Hertfordshire, England, in the borough of Welwyn Hatfield. It had a population of 29,616 in 2001, increasing to 39,201 at the 2011 Census. The settlement is of Saxon origin. Hatfield House, the home of the Marquess of Salisbury, is the nucleus of the old town. From the 1930s when ... | 20 | then what? | Haethfeld | Haethfeld | 1,066 | 1,075 | false |
926 | Hertfordshire.txt | Hertfordshire.txt | 39l1g8wvwqrtt3mhdqg25tmztz413j | wikipedia | Hatfield is a town and civil parish in Hertfordshire, England, in the borough of Welwyn Hatfield. It had a population of 29,616 in 2001, increasing to 39,201 at the 2011 Census. The settlement is of Saxon origin. Hatfield House, the home of the Marquess of Salisbury, is the nucleus of the old town. From the 1930s when ... | 21 | who's property was it according to the Abbey of Ely? | unknown | unknown | -1 | -1 | false |
926 | Hertfordshire.txt | Hertfordshire.txt | 39l1g8wvwqrtt3mhdqg25tmztz413j | wikipedia | Hatfield is a town and civil parish in Hertfordshire, England, in the borough of Welwyn Hatfield. It had a population of 29,616 in 2001, increasing to 39,201 at the 2011 Census. The settlement is of Saxon origin. Hatfield House, the home of the Marquess of Salisbury, is the nucleus of the old town. From the 1930s when ... | 22 | who's property according to the Domesday? | Abbey of Ely | Abbey of Ely | 1,143 | 1,155 | false |
927 | 300_(number).txt | 300_(number).txt | 3r5f3lqfv2kfao0b4z9mlq4m14xoz8 | wikipedia | 300 (three hundred) is the natural number following 299 and preceding 301. The number 300 is a triangular number and the sum of a pair of twin primes (149 + 151), as well as the sum of ten consecutive primes (13 + 17 + 19 + 23 + 29 + 31 + 37 + 41 + 43 + 47). It is palindromic in 3 consecutive bases: 300 = 606 = 454 = 3... | 1 | What should come after two hundred and ninety-nine? | 300 | 300 | 0 | 3 | false |
927 | 300_(number).txt | 300_(number).txt | 3r5f3lqfv2kfao0b4z9mlq4m14xoz8 | wikipedia | 300 (three hundred) is the natural number following 299 and preceding 301. The number 300 is a triangular number and the sum of a pair of twin primes (149 + 151), as well as the sum of ten consecutive primes (13 + 17 + 19 + 23 + 29 + 31 + 37 + 41 + 43 + 47). It is palindromic in 3 consecutive bases: 300 = 606 = 454 = 3... | 2 | What does it come before? | 301 | 301 | 70 | 73 | false |
927 | 300_(number).txt | 300_(number).txt | 3r5f3lqfv2kfao0b4z9mlq4m14xoz8 | wikipedia | 300 (three hundred) is the natural number following 299 and preceding 301. The number 300 is a triangular number and the sum of a pair of twin primes (149 + 151), as well as the sum of ten consecutive primes (13 + 17 + 19 + 23 + 29 + 31 + 37 + 41 + 43 + 47). It is palindromic in 3 consecutive bases: 300 = 606 = 454 = 3... | 3 | What kind of special numbers can it be the sum of? | primes | primes | 143 | 149 | false |
927 | 300_(number).txt | 300_(number).txt | 3r5f3lqfv2kfao0b4z9mlq4m14xoz8 | wikipedia | 300 (three hundred) is the natural number following 299 and preceding 301. The number 300 is a triangular number and the sum of a pair of twin primes (149 + 151), as well as the sum of ten consecutive primes (13 + 17 + 19 + 23 + 29 + 31 + 37 + 41 + 43 + 47). It is palindromic in 3 consecutive bases: 300 = 606 = 454 = 3... | 4 | How many, one right after the other? | ten | ten | 185 | 188 | false |
927 | 300_(number).txt | 300_(number).txt | 3r5f3lqfv2kfao0b4z9mlq4m14xoz8 | wikipedia | 300 (three hundred) is the natural number following 299 and preceding 301. The number 300 is a triangular number and the sum of a pair of twin primes (149 + 151), as well as the sum of ten consecutive primes (13 + 17 + 19 + 23 + 29 + 31 + 37 + 41 + 43 + 47). It is palindromic in 3 consecutive bases: 300 = 606 = 454 = 3... | 5 | What is an example of a duo of those that can be added to create it? | 149 + 151 | 149 + 151 | 151 | 160 | false |
927 | 300_(number).txt | 300_(number).txt | 3r5f3lqfv2kfao0b4z9mlq4m14xoz8 | wikipedia | 300 (three hundred) is the natural number following 299 and preceding 301. The number 300 is a triangular number and the sum of a pair of twin primes (149 + 151), as well as the sum of ten consecutive primes (13 + 17 + 19 + 23 + 29 + 31 + 37 + 41 + 43 + 47). It is palindromic in 3 consecutive bases: 300 = 606 = 454 = 3... | 6 | What do you have to multiply by seven to get it? | 43 | 43 | 401 | 403 | false |
928 | middle7685.txt | middle7685.txt | 3vp0c6efsgwpmbvopexywomm0p0m6s | race | Everyone in our class has our own characters. Each plays his or her part in our class. All in all,we are a group of young children who are perhaps a bit noisy at times,but on the whole are well behaved and pleasant to be with. Ah Keong We are a noisy group, and that is what our teachers say about us.This is largely bec... | 1 | Which child is the loudest? | Ah Keong | This is largely because of Ah Keong.He is the noisiest of us all | 301 | 365 | false |
928 | middle7685.txt | middle7685.txt | 3vp0c6efsgwpmbvopexywomm0p0m6s | race | Everyone in our class has our own characters. Each plays his or her part in our class. All in all,we are a group of young children who are perhaps a bit noisy at times,but on the whole are well behaved and pleasant to be with. Ah Keong We are a noisy group, and that is what our teachers say about us.This is largely bec... | 2 | Why? | Because he lives with his family of ten children. | because he lives with his family of ten children | 365 | 414 | false |
928 | middle7685.txt | middle7685.txt | 3vp0c6efsgwpmbvopexywomm0p0m6s | race | Everyone in our class has our own characters. Each plays his or her part in our class. All in all,we are a group of young children who are perhaps a bit noisy at times,but on the whole are well behaved and pleasant to be with. Ah Keong We are a noisy group, and that is what our teachers say about us.This is largely bec... | 3 | Does he talk? | No. | Actually he does not talk | 451 | 476 | false |
928 | middle7685.txt | middle7685.txt | 3vp0c6efsgwpmbvopexywomm0p0m6s | race | Everyone in our class has our own characters. Each plays his or her part in our class. All in all,we are a group of young children who are perhaps a bit noisy at times,but on the whole are well behaved and pleasant to be with. Ah Keong We are a noisy group, and that is what our teachers say about us.This is largely bec... | 4 | What does he do? | He shouts. | Actually he does not talk, he shouts. | 451 | 488 | false |
928 | middle7685.txt | middle7685.txt | 3vp0c6efsgwpmbvopexywomm0p0m6s | race | Everyone in our class has our own characters. Each plays his or her part in our class. All in all,we are a group of young children who are perhaps a bit noisy at times,but on the whole are well behaved and pleasant to be with. Ah Keong We are a noisy group, and that is what our teachers say about us.This is largely bec... | 5 | Which student do the teachers all adore? | Doris Doris. | Doris Doris is such a model student that all the teachers love her | 685 | 751 | false |
928 | middle7685.txt | middle7685.txt | 3vp0c6efsgwpmbvopexywomm0p0m6s | race | Everyone in our class has our own characters. Each plays his or her part in our class. All in all,we are a group of young children who are perhaps a bit noisy at times,but on the whole are well behaved and pleasant to be with. Ah Keong We are a noisy group, and that is what our teachers say about us.This is largely bec... | 6 | Why? | Because she is kind and helpful. | .We all love her because she is kind and helpful. | 798 | 847 | false |
928 | middle7685.txt | middle7685.txt | 3vp0c6efsgwpmbvopexywomm0p0m6s | race | Everyone in our class has our own characters. Each plays his or her part in our class. All in all,we are a group of young children who are perhaps a bit noisy at times,but on the whole are well behaved and pleasant to be with. Ah Keong We are a noisy group, and that is what our teachers say about us.This is largely bec... | 7 | Where is she in class usually? | Right in front of the teacher's table. | She sits right in front of the teachers table. | 753 | 799 | false |
928 | middle7685.txt | middle7685.txt | 3vp0c6efsgwpmbvopexywomm0p0m6s | race | Everyone in our class has our own characters. Each plays his or her part in our class. All in all,we are a group of young children who are perhaps a bit noisy at times,but on the whole are well behaved and pleasant to be with. Ah Keong We are a noisy group, and that is what our teachers say about us.This is largely bec... | 8 | How does she help the teachers? | She makes sure that the teachers have enough chalk. | she makes sure that the teachers have enough chalk | 858 | 909 | false |
928 | middle7685.txt | middle7685.txt | 3vp0c6efsgwpmbvopexywomm0p0m6s | race | Everyone in our class has our own characters. Each plays his or her part in our class. All in all,we are a group of young children who are perhaps a bit noisy at times,but on the whole are well behaved and pleasant to be with. Ah Keong We are a noisy group, and that is what our teachers say about us.This is largely bec... | 9 | Does she help clean? | Yes. | she makes sure that the teachers have enough chalk and the classroom is clean | 859 | 936 | false |
928 | middle7685.txt | middle7685.txt | 3vp0c6efsgwpmbvopexywomm0p0m6s | race | Everyone in our class has our own characters. Each plays his or her part in our class. All in all,we are a group of young children who are perhaps a bit noisy at times,but on the whole are well behaved and pleasant to be with. Ah Keong We are a noisy group, and that is what our teachers say about us.This is largely bec... | 10 | Who is the joker? | Jack. | JJack Every class has a clown . Our class has jack. | 938 | 989 | false |
928 | middle7685.txt | middle7685.txt | 3vp0c6efsgwpmbvopexywomm0p0m6s | race | Everyone in our class has our own characters. Each plays his or her part in our class. All in all,we are a group of young children who are perhaps a bit noisy at times,but on the whole are well behaved and pleasant to be with. Ah Keong We are a noisy group, and that is what our teachers say about us.This is largely bec... | 11 | Do other classmates like his jokes? | No. | So when we hear someone crying, we know that Jack has played a trick again. | 1,103 | 1,178 | false |
928 | middle7685.txt | middle7685.txt | 3vp0c6efsgwpmbvopexywomm0p0m6s | race | Everyone in our class has our own characters. Each plays his or her part in our class. All in all,we are a group of young children who are perhaps a bit noisy at times,but on the whole are well behaved and pleasant to be with. Ah Keong We are a noisy group, and that is what our teachers say about us.This is largely bec... | 12 | What tricks does he play? | He puts tails on the boys' pants and frogs in the girls' desks. | He puts tails on the boys pants and frogs in the girls desks. | 1,041 | 1,102 | false |
928 | middle7685.txt | middle7685.txt | 3vp0c6efsgwpmbvopexywomm0p0m6s | race | Everyone in our class has our own characters. Each plays his or her part in our class. All in all,we are a group of young children who are perhaps a bit noisy at times,but on the whole are well behaved and pleasant to be with. Ah Keong We are a noisy group, and that is what our teachers say about us.This is largely bec... | 13 | What do the teachers do to stop him? | unknown | unknown | -1 | -1 | false |
928 | middle7685.txt | middle7685.txt | 3vp0c6efsgwpmbvopexywomm0p0m6s | race | Everyone in our class has our own characters. Each plays his or her part in our class. All in all,we are a group of young children who are perhaps a bit noisy at times,but on the whole are well behaved and pleasant to be with. Ah Keong We are a noisy group, and that is what our teachers say about us.This is largely bec... | 14 | What is the school's opinion of him? | He is naughty. | He is naughty and always playing tricks on others. | 990 | 1,040 | false |
928 | middle7685.txt | middle7685.txt | 3vp0c6efsgwpmbvopexywomm0p0m6s | race | Everyone in our class has our own characters. Each plays his or her part in our class. All in all,we are a group of young children who are perhaps a bit noisy at times,but on the whole are well behaved and pleasant to be with. Ah Keong We are a noisy group, and that is what our teachers say about us.This is largely bec... | 15 | Which student is the opposite of Ah Keong? | Padma Padma. | Padma Padma is a quiet boy who sits next to me. | 489 | 536 | false |
928 | middle7685.txt | middle7685.txt | 3vp0c6efsgwpmbvopexywomm0p0m6s | race | Everyone in our class has our own characters. Each plays his or her part in our class. All in all,we are a group of young children who are perhaps a bit noisy at times,but on the whole are well behaved and pleasant to be with. Ah Keong We are a noisy group, and that is what our teachers say about us.This is largely bec... | 16 | Are his actions seen to match his gender? | No. | He is so soft that one would think that he is a girl | 537 | 589 | false |
928 | middle7685.txt | middle7685.txt | 3vp0c6efsgwpmbvopexywomm0p0m6s | race | Everyone in our class has our own characters. Each plays his or her part in our class. All in all,we are a group of young children who are perhaps a bit noisy at times,but on the whole are well behaved and pleasant to be with. Ah Keong We are a noisy group, and that is what our teachers say about us.This is largely bec... | 17 | Do they tease him about it? | No. | No one dares to call him"girl" | 607 | 637 | false |
928 | middle7685.txt | middle7685.txt | 3vp0c6efsgwpmbvopexywomm0p0m6s | race | Everyone in our class has our own characters. Each plays his or her part in our class. All in all,we are a group of young children who are perhaps a bit noisy at times,but on the whole are well behaved and pleasant to be with. Ah Keong We are a noisy group, and that is what our teachers say about us.This is largely bec... | 18 | Why? | Because he is a member of the school karate club. | No one dares to call him"girl", for he is a member of the school karate club. | 607 | 684 | false |
929 | Ankara.txt | Ankara.txt | 39dd6s19jpbtyxnmal6qgea8x56ezf | wikipedia | Ankara, formerly known as Ancyra () and Angora, is the capital of the Republic of Turkey. With a population of 4,587,558 in the urban center and 5,150,072 in its province , it is Turkey's second largest city after former imperial capital Istanbul, having overtaken İzmir. The former Metropolitan archbishopric remains a ... | 1 | Where is Ankara located? | Turkey. | Ankara, formerly known as Ancyra () and Angora, is the capital of the Republic of Turkey. | 0 | 89 | false |
929 | Ankara.txt | Ankara.txt | 39dd6s19jpbtyxnmal6qgea8x56ezf | wikipedia | Ankara, formerly known as Ancyra () and Angora, is the capital of the Republic of Turkey. With a population of 4,587,558 in the urban center and 5,150,072 in its province , it is Turkey's second largest city after former imperial capital Istanbul, having overtaken İzmir. The former Metropolitan archbishopric remains a ... | 2 | whats the population? | 4,587,558 in the urban center and 5,150,072 in its province | With a population of 4,587,558 in the urban center and 5,150,072 in its province | 89 | 170 | false |
929 | Ankara.txt | Ankara.txt | 39dd6s19jpbtyxnmal6qgea8x56ezf | wikipedia | Ankara, formerly known as Ancyra () and Angora, is the capital of the Republic of Turkey. With a population of 4,587,558 in the urban center and 5,150,072 in its province , it is Turkey's second largest city after former imperial capital Istanbul, having overtaken İzmir. The former Metropolitan archbishopric remains a ... | 3 | Where did the name came from? | Angora wool shorn from Angora rabbits, the long-haired Angora goat, and the Angora cat | The city gave its name to the Angora wool shorn from Angora rabbits, the long-haired Angora goat (the source of mohair), and the Angora cat | 774 | 913 | false |
929 | Ankara.txt | Ankara.txt | 39dd6s19jpbtyxnmal6qgea8x56ezf | wikipedia | Ankara, formerly known as Ancyra () and Angora, is the capital of the Republic of Turkey. With a population of 4,587,558 in the urban center and 5,150,072 in its province , it is Turkey's second largest city after former imperial capital Istanbul, having overtaken İzmir. The former Metropolitan archbishopric remains a ... | 4 | Why is it considered a green city? | in terms of green areas per inhabitant, at per head. | Ankara can be considered a green city in terms of green areas per inhabitant, at per head. | 1,134 | 1,225 | false |
929 | Ankara.txt | Ankara.txt | 39dd6s19jpbtyxnmal6qgea8x56ezf | wikipedia | Ankara, formerly known as Ancyra () and Angora, is the capital of the Republic of Turkey. With a population of 4,587,558 in the urban center and 5,150,072 in its province , it is Turkey's second largest city after former imperial capital Istanbul, having overtaken İzmir. The former Metropolitan archbishopric remains a ... | 5 | is it a newer city? | no | Ankara is a very old city | 1,227 | 1,253 | false |
929 | Ankara.txt | Ankara.txt | 39dd6s19jpbtyxnmal6qgea8x56ezf | wikipedia | Ankara, formerly known as Ancyra () and Angora, is the capital of the Republic of Turkey. With a population of 4,587,558 in the urban center and 5,150,072 in its province , it is Turkey's second largest city after former imperial capital Istanbul, having overtaken İzmir. The former Metropolitan archbishopric remains a ... | 6 | What kind of sites is there? | Hittite, Phrygian, Hellenistic, Roman, Byzantine, and Ottoman archaeological sites | Ankara is a very old city with various Hittite, Phrygian, Hellenistic, Roman, Byzantine, and Ottoman archaeological sites | 1,227 | 1,348 | false |
929 | Ankara.txt | Ankara.txt | 39dd6s19jpbtyxnmal6qgea8x56ezf | wikipedia | Ankara, formerly known as Ancyra () and Angora, is the capital of the Republic of Turkey. With a population of 4,587,558 in the urban center and 5,150,072 in its province , it is Turkey's second largest city after former imperial capital Istanbul, having overtaken İzmir. The former Metropolitan archbishopric remains a ... | 7 | are they on flat land? | no | The historical center of town is a rocky hill | 1,350 | 1,395 | false |
929 | Ankara.txt | Ankara.txt | 39dd6s19jpbtyxnmal6qgea8x56ezf | wikipedia | Ankara, formerly known as Ancyra () and Angora, is the capital of the Republic of Turkey. With a population of 4,587,558 in the urban center and 5,150,072 in its province , it is Turkey's second largest city after former imperial capital Istanbul, having overtaken İzmir. The former Metropolitan archbishopric remains a ... | 8 | what about a hill? | yes | The historical center of town is a rocky hil | 1,350 | 1,394 | false |
929 | Ankara.txt | Ankara.txt | 39dd6s19jpbtyxnmal6qgea8x56ezf | wikipedia | Ankara, formerly known as Ancyra () and Angora, is the capital of the Republic of Turkey. With a population of 4,587,558 in the urban center and 5,150,072 in its province , it is Turkey's second largest city after former imperial capital Istanbul, having overtaken İzmir. The former Metropolitan archbishopric remains a ... | 9 | is there any signiificant monuments? | yes | there are well-preserved examples of Roman and Ottoman architecture throughout the city, the most remarkable being the 20 Temple of Augustus and Rome that boasts the Monumentum Ancyranum, | 1,603 | 1,791 | false |
929 | Ankara.txt | Ankara.txt | 39dd6s19jpbtyxnmal6qgea8x56ezf | wikipedia | Ankara, formerly known as Ancyra () and Angora, is the capital of the Republic of Turkey. With a population of 4,587,558 in the urban center and 5,150,072 in its province , it is Turkey's second largest city after former imperial capital Istanbul, having overtaken İzmir. The former Metropolitan archbishopric remains a ... | 10 | Which ones? | the 20 Temple of Augustus and Rome that boasts the Monumentum Ancyranum | the most remarkable being the 20 Temple of Augustus and Rome that boasts the Monumentum Ancyranum | 1,691 | 1,790 | false |
930 | mc160.test.31 | mc160.test.31 | 3l6l49wxw0xdzh64ernxiormicj54x | mctest | The day was sunny and warm. The birds were chirping and dancing around happily. Ashley, the daughter of the dressmaker in town, was walking and whistling and enjoying the day, carrying her fishing pole. She was on her way to the creek to meet her friend Ethan to go fishing. She was so excited; she loved to fish! As she... | 1 | What kind of day was it? | sunny and warm | sunny and warm | 12 | 26 | false |
930 | mc160.test.31 | mc160.test.31 | 3l6l49wxw0xdzh64ernxiormicj54x | mctest | The day was sunny and warm. The birds were chirping and dancing around happily. Ashley, the daughter of the dressmaker in town, was walking and whistling and enjoying the day, carrying her fishing pole. She was on her way to the creek to meet her friend Ethan to go fishing. She was so excited; she loved to fish! As she... | 2 | What were the birds doing? | chirping and dancing around happily | chirping and dancing around happily | 43 | 78 | false |
930 | mc160.test.31 | mc160.test.31 | 3l6l49wxw0xdzh64ernxiormicj54x | mctest | The day was sunny and warm. The birds were chirping and dancing around happily. Ashley, the daughter of the dressmaker in town, was walking and whistling and enjoying the day, carrying her fishing pole. She was on her way to the creek to meet her friend Ethan to go fishing. She was so excited; she loved to fish! As she... | 3 | Who was going to the see a buddy? | Ashley | Ashley | 80 | 86 | false |
930 | mc160.test.31 | mc160.test.31 | 3l6l49wxw0xdzh64ernxiormicj54x | mctest | The day was sunny and warm. The birds were chirping and dancing around happily. Ashley, the daughter of the dressmaker in town, was walking and whistling and enjoying the day, carrying her fishing pole. She was on her way to the creek to meet her friend Ethan to go fishing. She was so excited; she loved to fish! As she... | 4 | Who was she? | the daughter of the dressmaker in town | the daughter of the dressmaker in town | 88 | 126 | false |
930 | mc160.test.31 | mc160.test.31 | 3l6l49wxw0xdzh64ernxiormicj54x | mctest | The day was sunny and warm. The birds were chirping and dancing around happily. Ashley, the daughter of the dressmaker in town, was walking and whistling and enjoying the day, carrying her fishing pole. She was on her way to the creek to meet her friend Ethan to go fishing. She was so excited; she loved to fish! As she... | 5 | Who was she going to see? | Ethan | Ethan | 253 | 259 | false |
930 | mc160.test.31 | mc160.test.31 | 3l6l49wxw0xdzh64ernxiormicj54x | mctest | The day was sunny and warm. The birds were chirping and dancing around happily. Ashley, the daughter of the dressmaker in town, was walking and whistling and enjoying the day, carrying her fishing pole. She was on her way to the creek to meet her friend Ethan to go fishing. She was so excited; she loved to fish! As she... | 6 | What did she love to do? | fish | fish | 308 | 312 | false |
930 | mc160.test.31 | mc160.test.31 | 3l6l49wxw0xdzh64ernxiormicj54x | mctest | The day was sunny and warm. The birds were chirping and dancing around happily. Ashley, the daughter of the dressmaker in town, was walking and whistling and enjoying the day, carrying her fishing pole. She was on her way to the creek to meet her friend Ethan to go fishing. She was so excited; she loved to fish! As she... | 7 | Did she get something as she was strolling around the creek? | yes | to pick some | 385 | 397 | false |
930 | mc160.test.31 | mc160.test.31 | 3l6l49wxw0xdzh64ernxiormicj54x | mctest | The day was sunny and warm. The birds were chirping and dancing around happily. Ashley, the daughter of the dressmaker in town, was walking and whistling and enjoying the day, carrying her fishing pole. She was on her way to the creek to meet her friend Ethan to go fishing. She was so excited; she loved to fish! As she... | 8 | What did she get? | flowers | flowers | 366 | 373 | false |
930 | mc160.test.31 | mc160.test.31 | 3l6l49wxw0xdzh64ernxiormicj54x | mctest | The day was sunny and warm. The birds were chirping and dancing around happily. Ashley, the daughter of the dressmaker in town, was walking and whistling and enjoying the day, carrying her fishing pole. She was on her way to the creek to meet her friend Ethan to go fishing. She was so excited; she loved to fish! As she... | 9 | Why did she drop them? | she jumped | jumped | 510 | 516 | false |
930 | mc160.test.31 | mc160.test.31 | 3l6l49wxw0xdzh64ernxiormicj54x | mctest | The day was sunny and warm. The birds were chirping and dancing around happily. Ashley, the daughter of the dressmaker in town, was walking and whistling and enjoying the day, carrying her fishing pole. She was on her way to the creek to meet her friend Ethan to go fishing. She was so excited; she loved to fish! As she... | 10 | Who scared her? | Ethan | Ethan | 544 | 549 | false |
930 | mc160.test.31 | mc160.test.31 | 3l6l49wxw0xdzh64ernxiormicj54x | mctest | The day was sunny and warm. The birds were chirping and dancing around happily. Ashley, the daughter of the dressmaker in town, was walking and whistling and enjoying the day, carrying her fishing pole. She was on her way to the creek to meet her friend Ethan to go fishing. She was so excited; she loved to fish! As she... | 11 | What did she want to do before it was too late? | go fishing | go fishing | 754 | 764 | false |
930 | mc160.test.31 | mc160.test.31 | 3l6l49wxw0xdzh64ernxiormicj54x | mctest | The day was sunny and warm. The birds were chirping and dancing around happily. Ashley, the daughter of the dressmaker in town, was walking and whistling and enjoying the day, carrying her fishing pole. She was on her way to the creek to meet her friend Ethan to go fishing. She was so excited; she loved to fish! As she... | 12 | Did they run to the back? | no | skipped off | 807 | 818 | false |
930 | mc160.test.31 | mc160.test.31 | 3l6l49wxw0xdzh64ernxiormicj54x | mctest | The day was sunny and warm. The birds were chirping and dancing around happily. Ashley, the daughter of the dressmaker in town, was walking and whistling and enjoying the day, carrying her fishing pole. She was on her way to the creek to meet her friend Ethan to go fishing. She was so excited; she loved to fish! As she... | 13 | Did they have a good time? | yes | wonderful time | 842 | 856 | false |
930 | mc160.test.31 | mc160.test.31 | 3l6l49wxw0xdzh64ernxiormicj54x | mctest | The day was sunny and warm. The birds were chirping and dancing around happily. Ashley, the daughter of the dressmaker in town, was walking and whistling and enjoying the day, carrying her fishing pole. She was on her way to the creek to meet her friend Ethan to go fishing. She was so excited; she loved to fish! As she... | 14 | Did they end up with something to take home? | no | they didn't catch anything | 874 | 900 | false |
931 | high5441.txt | high5441.txt | 3h0w84iwbk2kw61v04cdub89og8re4 | race | When two Bangs meet
Sheldon Cooper is a scientific genius on the popular American TV show, The Big Bang Theory (<<>> ). He finally met his match last year: Stephen Hawking.
This is not the first time that the scientist has appeared on TV. He has also been on Star Trek (in 1987) and The Simpsons (in 1989). Each time... | 1 | Who met his match last year? | Sheldon Cooper | Sheldon Cooper is a scientific genius on the popular American TV show, The Big Bang Theory (<<>> ). He finally met his match last year: Stephen Hawking. | 22 | 175 | false |
931 | high5441.txt | high5441.txt | 3h0w84iwbk2kw61v04cdub89og8re4 | race | When two Bangs meet
Sheldon Cooper is a scientific genius on the popular American TV show, The Big Bang Theory (<<>> ). He finally met his match last year: Stephen Hawking.
This is not the first time that the scientist has appeared on TV. He has also been on Star Trek (in 1987) and The Simpsons (in 1989). Each time... | 2 | Is he a real person? | Yes | This is not the first time that the scientist has appeared on TV. | 177 | 242 | true |
931 | high5441.txt | high5441.txt | 3h0w84iwbk2kw61v04cdub89og8re4 | race | When two Bangs meet
Sheldon Cooper is a scientific genius on the popular American TV show, The Big Bang Theory (<<>> ). He finally met his match last year: Stephen Hawking.
This is not the first time that the scientist has appeared on TV. He has also been on Star Trek (in 1987) and The Simpsons (in 1989). Each time... | 3 | What show is his character on? | The Big Bang Theory | Sheldon Cooper is a scientific genius on the popular American TV show, The Big Bang Theory | 22 | 112 | false |
931 | high5441.txt | high5441.txt | 3h0w84iwbk2kw61v04cdub89og8re4 | race | When two Bangs meet
Sheldon Cooper is a scientific genius on the popular American TV show, The Big Bang Theory (<<>> ). He finally met his match last year: Stephen Hawking.
This is not the first time that the scientist has appeared on TV. He has also been on Star Trek (in 1987) and The Simpsons (in 1989). Each time... | 4 | Who did he meet? | Stephen Hawking. | He finally met his match last year: Stephen Hawking. | 122 | 175 | false |
931 | high5441.txt | high5441.txt | 3h0w84iwbk2kw61v04cdub89og8re4 | race | When two Bangs meet
Sheldon Cooper is a scientific genius on the popular American TV show, The Big Bang Theory (<<>> ). He finally met his match last year: Stephen Hawking.
This is not the first time that the scientist has appeared on TV. He has also been on Star Trek (in 1987) and The Simpsons (in 1989). Each time... | 5 | What other shows has he been on? | Star Trek and The Simpsons | This is not the first time that the scientist has appeared on TV. He has also been on Star Trek (in 1987) and The Simpsons (in 1989). Each time, he played himself. | 177 | 341 | false |
931 | high5441.txt | high5441.txt | 3h0w84iwbk2kw61v04cdub89og8re4 | race | When two Bangs meet
Sheldon Cooper is a scientific genius on the popular American TV show, The Big Bang Theory (<<>> ). He finally met his match last year: Stephen Hawking.
This is not the first time that the scientist has appeared on TV. He has also been on Star Trek (in 1987) and The Simpsons (in 1989). Each time... | 6 | When was he on Star Trek? | 1987 | He has also been on Star Trek (in 1987) | 243 | 282 | false |
931 | high5441.txt | high5441.txt | 3h0w84iwbk2kw61v04cdub89og8re4 | race | When two Bangs meet
Sheldon Cooper is a scientific genius on the popular American TV show, The Big Bang Theory (<<>> ). He finally met his match last year: Stephen Hawking.
This is not the first time that the scientist has appeared on TV. He has also been on Star Trek (in 1987) and The Simpsons (in 1989). Each time... | 7 | And the Simpsons? | 1989 | He has also been on Star Trek (in 1987) and The Simpsons (in 1989) | 243 | 309 | false |
931 | high5441.txt | high5441.txt | 3h0w84iwbk2kw61v04cdub89og8re4 | race | When two Bangs meet
Sheldon Cooper is a scientific genius on the popular American TV show, The Big Bang Theory (<<>> ). He finally met his match last year: Stephen Hawking.
This is not the first time that the scientist has appeared on TV. He has also been on Star Trek (in 1987) and The Simpsons (in 1989). Each time... | 8 | Is he the most reckognizable scientist? | perhaps | Hawking, 71, is perhaps the world's most famous scientist after Albert Einstein. | 343 | 424 | false |
931 | high5441.txt | high5441.txt | 3h0w84iwbk2kw61v04cdub89og8re4 | race | When two Bangs meet
Sheldon Cooper is a scientific genius on the popular American TV show, The Big Bang Theory (<<>> ). He finally met his match last year: Stephen Hawking.
This is not the first time that the scientist has appeared on TV. He has also been on Star Trek (in 1987) and The Simpsons (in 1989). Each time... | 9 | Who might be a tad more well known? | Albert Einstein | Hawking, 71, is perhaps the world's most famous scientist after Albert Einstein. | 343 | 423 | false |
931 | high5441.txt | high5441.txt | 3h0w84iwbk2kw61v04cdub89og8re4 | race | When two Bangs meet
Sheldon Cooper is a scientific genius on the popular American TV show, The Big Bang Theory (<<>> ). He finally met his match last year: Stephen Hawking.
This is not the first time that the scientist has appeared on TV. He has also been on Star Trek (in 1987) and The Simpsons (in 1989). Each time... | 10 | What exploded in theory? | the ball | and then the ball exploded. | 725 | 754 | false |
931 | high5441.txt | high5441.txt | 3h0w84iwbk2kw61v04cdub89og8re4 | race | When two Bangs meet
Sheldon Cooper is a scientific genius on the popular American TV show, The Big Bang Theory (<<>> ). He finally met his match last year: Stephen Hawking.
This is not the first time that the scientist has appeared on TV. He has also been on Star Trek (in 1987) and The Simpsons (in 1989). Each time... | 11 | Was it a large ball? | No | tight little ball, | 707 | 725 | false |
931 | high5441.txt | high5441.txt | 3h0w84iwbk2kw61v04cdub89og8re4 | race | When two Bangs meet
Sheldon Cooper is a scientific genius on the popular American TV show, The Big Bang Theory (<<>> ). He finally met his match last year: Stephen Hawking.
This is not the first time that the scientist has appeared on TV. He has also been on Star Trek (in 1987) and The Simpsons (in 1989). Each time... | 12 | How big was it? | little | tight little ball | 707 | 724 | true |
931 | high5441.txt | high5441.txt | 3h0w84iwbk2kw61v04cdub89og8re4 | race | When two Bangs meet
Sheldon Cooper is a scientific genius on the popular American TV show, The Big Bang Theory (<<>> ). He finally met his match last year: Stephen Hawking.
This is not the first time that the scientist has appeared on TV. He has also been on Star Trek (in 1987) and The Simpsons (in 1989). Each time... | 13 | When did this likely occur? | about 13.7 billion years ago | about 13.7 billion years ago | 629 | 659 | false |
932 | middle1277.txt | middle1277.txt | 3sepori8wnzq8k6aug44kvkhcswaz8 | race | There are 5 channels on British television and each channel has several news programs all day long. Some programs are only for 3 minutes but some are one hour long. The people who read the news are called news presenters and because they appear on television every day, they are very famous. This is a popular news prese... | 1 | What do news presenters do? | read the news | read the news | 179 | 194 | false |
932 | middle1277.txt | middle1277.txt | 3sepori8wnzq8k6aug44kvkhcswaz8 | race | There are 5 channels on British television and each channel has several news programs all day long. Some programs are only for 3 minutes but some are one hour long. The people who read the news are called news presenters and because they appear on television every day, they are very famous. This is a popular news prese... | 2 | Are they famous? | yes | they are very famous | 269 | 290 | false |
932 | middle1277.txt | middle1277.txt | 3sepori8wnzq8k6aug44kvkhcswaz8 | race | There are 5 channels on British television and each channel has several news programs all day long. Some programs are only for 3 minutes but some are one hour long. The people who read the news are called news presenters and because they appear on television every day, they are very famous. This is a popular news prese... | 3 | Where can they been seen? | on television | on television | 244 | 259 | false |
932 | middle1277.txt | middle1277.txt | 3sepori8wnzq8k6aug44kvkhcswaz8 | race | There are 5 channels on British television and each channel has several news programs all day long. Some programs are only for 3 minutes but some are one hour long. The people who read the news are called news presenters and because they appear on television every day, they are very famous. This is a popular news prese... | 4 | How often? | every day, | every day, | 258 | 269 | false |
932 | middle1277.txt | middle1277.txt | 3sepori8wnzq8k6aug44kvkhcswaz8 | race | There are 5 channels on British television and each channel has several news programs all day long. Some programs are only for 3 minutes but some are one hour long. The people who read the news are called news presenters and because they appear on television every day, they are very famous. This is a popular news prese... | 5 | How many channels does British TV have? | Five | 5 channels on British television | 9 | 42 | false |
932 | middle1277.txt | middle1277.txt | 3sepori8wnzq8k6aug44kvkhcswaz8 | race | There are 5 channels on British television and each channel has several news programs all day long. Some programs are only for 3 minutes but some are one hour long. The people who read the news are called news presenters and because they appear on television every day, they are very famous. This is a popular news prese... | 6 | How long are the shows? | some are one hour long | some are one hour long | 141 | 163 | false |
932 | middle1277.txt | middle1277.txt | 3sepori8wnzq8k6aug44kvkhcswaz8 | race | There are 5 channels on British television and each channel has several news programs all day long. Some programs are only for 3 minutes but some are one hour long. The people who read the news are called news presenters and because they appear on television every day, they are very famous. This is a popular news prese... | 7 | How long are others? | only 3 minutes | only for 3 minutes | 118 | 136 | false |
932 | middle1277.txt | middle1277.txt | 3sepori8wnzq8k6aug44kvkhcswaz8 | race | There are 5 channels on British television and each channel has several news programs all day long. Some programs are only for 3 minutes but some are one hour long. The people who read the news are called news presenters and because they appear on television every day, they are very famous. This is a popular news prese... | 8 | What kind of shows are they? | several | several | 64 | 72 | true |
932 | middle1277.txt | middle1277.txt | 3sepori8wnzq8k6aug44kvkhcswaz8 | race | There are 5 channels on British television and each channel has several news programs all day long. Some programs are only for 3 minutes but some are one hour long. The people who read the news are called news presenters and because they appear on television every day, they are very famous. This is a popular news prese... | 9 | Are they news shows | yes | He presents a program called "News at Ten"every Monday to Friday evenings | 379 | 453 | false |
932 | middle1277.txt | middle1277.txt | 3sepori8wnzq8k6aug44kvkhcswaz8 | race | There are 5 channels on British television and each channel has several news programs all day long. Some programs are only for 3 minutes but some are one hour long. The people who read the news are called news presenters and because they appear on television every day, they are very famous. This is a popular news prese... | 10 | Does Trevor MacDonald star on one? | yes | called Trevor McDonald, in the news studio. | 336 | 379 | false |
932 | middle1277.txt | middle1277.txt | 3sepori8wnzq8k6aug44kvkhcswaz8 | race | There are 5 channels on British television and each channel has several news programs all day long. Some programs are only for 3 minutes but some are one hour long. The people who read the news are called news presenters and because they appear on television every day, they are very famous. This is a popular news prese... | 11 | Which one? | "News at Ten | "News at Ten | 409 | 421 | false |
932 | middle1277.txt | middle1277.txt | 3sepori8wnzq8k6aug44kvkhcswaz8 | race | There are 5 channels on British television and each channel has several news programs all day long. Some programs are only for 3 minutes but some are one hour long. The people who read the news are called news presenters and because they appear on television every day, they are very famous. This is a popular news prese... | 12 | When does it air? | every Monday to Friday evenings | every Monday to Friday evenings | 422 | 453 | false |
933 | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | 3amw0rghod23ezytgbb7f3230lcpnf | cnn | (CNN) -- A man apparently angry over a poor performance evaluation entered an Ohio State University maintenance building early Tuesday and opened fire, killing a manager before turning the gun on himself, police said.
Larry Wallington, 48, a building services manager at the OSU Maintenance Building, was pronounced de... | 1 | Where did the crime take place? | Ohio State University | A man apparently angry over a poor performance evaluation entered an Ohio State University maintenance | 9 | 111 | false |
933 | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | 3amw0rghod23ezytgbb7f3230lcpnf | cnn | (CNN) -- A man apparently angry over a poor performance evaluation entered an Ohio State University maintenance building early Tuesday and opened fire, killing a manager before turning the gun on himself, police said.
Larry Wallington, 48, a building services manager at the OSU Maintenance Building, was pronounced de... | 2 | How old was the perpitraitor? | 48 | Larry Wallington, 48 | 220 | 240 | false |
933 | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | 3amw0rghod23ezytgbb7f3230lcpnf | cnn | (CNN) -- A man apparently angry over a poor performance evaluation entered an Ohio State University maintenance building early Tuesday and opened fire, killing a manager before turning the gun on himself, police said.
Larry Wallington, 48, a building services manager at the OSU Maintenance Building, was pronounced de... | 3 | What condition is Henry Butler in? | He's in stable condition | A third person, Henry Butler, 60, an operations shift leader, also was shot. He was in stable condition | 1,072 | 1,175 | false |
933 | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | 3amw0rghod23ezytgbb7f3230lcpnf | cnn | (CNN) -- A man apparently angry over a poor performance evaluation entered an Ohio State University maintenance building early Tuesday and opened fire, killing a manager before turning the gun on himself, police said.
Larry Wallington, 48, a building services manager at the OSU Maintenance Building, was pronounced de... | 4 | Wherre is he being treated? | OSU Medical Center | He was in stable condition at the OSU Medical Center | 1,149 | 1,201 | false |
933 | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | 3amw0rghod23ezytgbb7f3230lcpnf | cnn | (CNN) -- A man apparently angry over a poor performance evaluation entered an Ohio State University maintenance building early Tuesday and opened fire, killing a manager before turning the gun on himself, police said.
Larry Wallington, 48, a building services manager at the OSU Maintenance Building, was pronounced de... | 5 | Whgat wasy Larry Wallington's occupation? | Building services manager | Larry Wallington, 48, a building services manager | 220 | 270 | false |
933 | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | 3amw0rghod23ezytgbb7f3230lcpnf | cnn | (CNN) -- A man apparently angry over a poor performance evaluation entered an Ohio State University maintenance building early Tuesday and opened fire, killing a manager before turning the gun on himself, police said.
Larry Wallington, 48, a building services manager at the OSU Maintenance Building, was pronounced de... | 6 | Is the shooter in custody? | Yes | Police earlier Tuesday had said that two people were wounded and one killed and that the alleged shooter was in custody. | 1,218 | 1,339 | false |
933 | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | 3amw0rghod23ezytgbb7f3230lcpnf | cnn | (CNN) -- A man apparently angry over a poor performance evaluation entered an Ohio State University maintenance building early Tuesday and opened fire, killing a manager before turning the gun on himself, police said.
Larry Wallington, 48, a building services manager at the OSU Maintenance Building, was pronounced de... | 7 | about how many emplyees were in the building when the shooting happened? | a half-dozen | About a half-dozen employees were at the building when the shooting occurred | 1,341 | 1,417 | false |
933 | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | 3amw0rghod23ezytgbb7f3230lcpnf | cnn | (CNN) -- A man apparently angry over a poor performance evaluation entered an Ohio State University maintenance building early Tuesday and opened fire, killing a manager before turning the gun on himself, police said.
Larry Wallington, 48, a building services manager at the OSU Maintenance Building, was pronounced de... | 8 | Is the university continuing normal operations and holding class? | Yes | "The university continues normal operations," the school said. "Classes will be held and normal work schedules are in effect." | 1,608 | 1,734 | false |
933 | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | 3amw0rghod23ezytgbb7f3230lcpnf | cnn | (CNN) -- A man apparently angry over a poor performance evaluation entered an Ohio State University maintenance building early Tuesday and opened fire, killing a manager before turning the gun on himself, police said.
Larry Wallington, 48, a building services manager at the OSU Maintenance Building, was pronounced de... | 9 | Why was the shooter disgruntled? | A poor performance evaluation | A man apparently angry over a poor performance evaluation | 9 | 66 | false |
933 | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | 3amw0rghod23ezytgbb7f3230lcpnf | cnn | (CNN) -- A man apparently angry over a poor performance evaluation entered an Ohio State University maintenance building early Tuesday and opened fire, killing a manager before turning the gun on himself, police said.
Larry Wallington, 48, a building services manager at the OSU Maintenance Building, was pronounced de... | 10 | How long had Larry Wallington worked for the university? | 10 years | Wallington was a 10-year university employee | 419 | 463 | false |
933 | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | 3amw0rghod23ezytgbb7f3230lcpnf | cnn | (CNN) -- A man apparently angry over a poor performance evaluation entered an Ohio State University maintenance building early Tuesday and opened fire, killing a manager before turning the gun on himself, police said.
Larry Wallington, 48, a building services manager at the OSU Maintenance Building, was pronounced de... | 11 | How many were wounded total? | Two | Police earlier Tuesday had said that two people were wounded | 1,218 | 1,278 | false |
933 | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | cnn_0ecd935b9ef15395d26742b52fc1b585eb7f9601.story | 3amw0rghod23ezytgbb7f3230lcpnf | cnn | (CNN) -- A man apparently angry over a poor performance evaluation entered an Ohio State University maintenance building early Tuesday and opened fire, killing a manager before turning the gun on himself, police said.
Larry Wallington, 48, a building services manager at the OSU Maintenance Building, was pronounced de... | 12 | What month did the perpitraitor start workng there? | October | a probational employee since October | 730 | 767 | false |
934 | high15964.txt | high15964.txt | 33l7pjkhcgyg3k4wrqv82gd51y98t1 | race | Few buildings on earth can compete with the legendary beauty of the Taj Mahal. Towering over the ancient Indian city of Agra, the Taj Mahal is the grandest monument to love ever created.
The lovers in this story are the 17th century Indian emperor Shah Jehan and his wife Mumtaz Mahal. She took a leading role in advis... | 1 | Where is the Taj Mahal? | Agra | Towering over the ancient Indian city of Agra | 79 | 124 | false |
934 | high15964.txt | high15964.txt | 33l7pjkhcgyg3k4wrqv82gd51y98t1 | race | Few buildings on earth can compete with the legendary beauty of the Taj Mahal. Towering over the ancient Indian city of Agra, the Taj Mahal is the grandest monument to love ever created.
The lovers in this story are the 17th century Indian emperor Shah Jehan and his wife Mumtaz Mahal. She took a leading role in advis... | 2 | Who is the wife int he story? | Mumtaz Mahal | emperor Shah Jehan and his wife Mumtaz Mahal | 242 | 286 | false |
934 | high15964.txt | high15964.txt | 33l7pjkhcgyg3k4wrqv82gd51y98t1 | race | Few buildings on earth can compete with the legendary beauty of the Taj Mahal. Towering over the ancient Indian city of Agra, the Taj Mahal is the grandest monument to love ever created.
The lovers in this story are the 17th century Indian emperor Shah Jehan and his wife Mumtaz Mahal. She took a leading role in advis... | 3 | and the husband? | Shah Jehan | Indian emperor Shah Jehan | 235 | 260 | false |
934 | high15964.txt | high15964.txt | 33l7pjkhcgyg3k4wrqv82gd51y98t1 | race | Few buildings on earth can compete with the legendary beauty of the Taj Mahal. Towering over the ancient Indian city of Agra, the Taj Mahal is the grandest monument to love ever created.
The lovers in this story are the 17th century Indian emperor Shah Jehan and his wife Mumtaz Mahal. She took a leading role in advis... | 4 | What was unusual about her? | She took a leading role in advising him | She took a leading role in advising him | 288 | 327 | false |
934 | high15964.txt | high15964.txt | 33l7pjkhcgyg3k4wrqv82gd51y98t1 | race | Few buildings on earth can compete with the legendary beauty of the Taj Mahal. Towering over the ancient Indian city of Agra, the Taj Mahal is the grandest monument to love ever created.
The lovers in this story are the 17th century Indian emperor Shah Jehan and his wife Mumtaz Mahal. She took a leading role in advis... | 5 | Who was he? | the emperor | 17th century Indian emperor Shah Jehan | 222 | 260 | false |
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