id string | split string | conversation_id string | turn_id int64 | question string | history list | all_standalone_questions list | answer string | answer_span_text string | variants dict | corruption dict | proposal dict | verifier dict | reconstruction dict | response_ids dict | usage dict | source_name string | source_file string | generated_clarification dict | clarification_verifier dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
dev:3ftyuglfsulqzdpx72oqlslswtcd5r:6 | dev | 3ftyuglfsulqzdpx72oqlslswtcd5r | 6 | and where was he sat? | [
"What did Cynthia;s name get shortened to?",
"Cynthy",
"who did she go to find?",
"Jethro",
"did she walk sedately?",
"no",
"Did Ephram have a jacket on?",
"no",
"what time was it?",
"About five o'clock"
] | [
"Where was Ephraim sitting?",
"Where was Ephraim perched?",
"In what location did Ephraim sit?"
] | by the window | by the window of his room | {
"full_low_s": {
"story": "CHAPTER VI \n\nAbout five o'clock that afternoon Ephraim was sitting in his shirt-sleeves by the window of his room, and Cynthia was reading aloud to him an article (about the war, of course) from a Washington paper, which his friend, Mr. Beard, had sent him. There was a knock at the d... | {
"removed_span": "by the window of his room",
"removed_chars": 25,
"removed_fraction": 0.016202203499675955,
"missing_context_type": "location",
"answer_support_removed": true
} | {
"possible": true,
"delete_span": "by the window of his room",
"missing_context_type": "location",
"full_input_well_specified": true,
"plausible_completion_1": "by the window of his room",
"plausible_completion_2": "in a chair beside the fireplace",
"answer_under_completion_1": "by the window",
"answer... | {
"accept": true,
"full_input_well_specified": true,
"missing_local_user_context": true,
"missing_context_relevant_to_answer": true,
"almost_uniquely_recoverable": false,
"plausible_restoration_1": "by the window of his room",
"plausible_restoration_2": "in a chair near the door",
"answer_under_restorat... | {
"one_dominant_reconstruction": false,
"restoration_1": "in his room at the hotel",
"restoration_2": "in the parlor of the boarding house",
"answer_1": "He was sitting in his room at the hotel.",
"answer_2": "He was sitting in the parlor of the boarding house.",
"both_restorations_plausible": true,
"answ... | {
"proposer": "resp_01075febdb1c8abb016a92b5f3aff487d29aaff20fc3947bcd",
"verifier": "resp_0f53f551e7cd12fb016a92b5f7531c87d29a8e6187cba7400e",
"reconstruction": "resp_0564d9e2528ec183016a92b5fa180887d2aceaad7f59789f12",
"clarification_generator": "resp_003201e4bcc6ae3d016a95f3141a7087d2bf1add08491f00e6",
"cl... | {
"proposer": {
"input_tokens": 1883,
"output_tokens": 312,
"total_tokens": 2195,
"cached_tokens": 1365,
"reasoning_tokens": 168
},
"verifier": {
"input_tokens": 1630,
"output_tokens": 260,
"total_tokens": 1890,
"cached_tokens": 0,
"reasoning_tokens": 66
},
"reconstruct... | data/gutenberg/txt/Winston Churchill___Coniston, Complete.txt/CHAPTER VI_fb084c1ecd0dd70264ba4d2f740d4d692feacb85692cd4a75e4990b | data/gutenberg/txt/Winston Churchill___Coniston, Complete.txt/CHAPTER VI_fb084c1ecd0dd70264ba4d2f740d4d692feacb85692cd4a75e4990b | {
"span": "by the window",
"expected_answer": "by the window",
"exact_copy_of_removed_span": false,
"similarity_to_removed_span": 0.6842105263157895,
"generation_reason": "“Sitting in his shirt-sleeves by the window” is grammatical and directly supports the answer that Ephraim was seated by the window."
} | {
"accept": true,
"passage_natural": true,
"no_passage_contradiction": true,
"no_history_contradiction": true,
"clarification_relevant": true,
"question_well_specified": true,
"expected_answer_supported": true,
"answer_determinate": true,
"reason": "The generated span directly matches the passage’s st... |
dev:3vd82fohkqo22vp1clpeas31sk8oc2:7 | dev | 3vd82fohkqo22vp1clpeas31sk8oc2 | 7 | How many people died in the airstrike? | [
"Which official condemned the airstrike?",
"French officials",
"Which consul was hit?",
"Majdi Shakoura",
"How far away was their home hit?",
"hit about 200 meters (650 feet) away",
"Who was the airstrike aimed at?",
"Palestinian militants",
"Does IDF say that they're not wishing to harm any civilia... | [
"How many casualties were the result of the Israeli airstrike?",
"How many people were killed by the Israeli missile?",
"What was the number of deaths caused by the airstrike?"
] | one | Palestinian security and medical officials said one person died | {
"full_low_s": {
"story": "Paris (CNN) -- French officials Tuesday condemned an Israeli airstrike on Gaza that wounded its consul, his wife and their daughter, calling on Israel to avoid civilian casualties. \n\n\"France strongly deplores the consequences of this air strike,\" a statement from the Ministry of Fo... | {
"removed_span": "one person died and ",
"removed_chars": 20,
"removed_fraction": 0.011441647597254004,
"missing_context_type": "factual_value",
"answer_support_removed": false
} | {
"possible": true,
"delete_span": "one person died and ",
"missing_context_type": "factual_value",
"full_input_well_specified": true,
"plausible_completion_1": "one person died and ",
"plausible_completion_2": "three people died and ",
"answer_under_completion_1": "one",
"answer_under_completion_2": "t... | {
"accept": true,
"full_input_well_specified": true,
"missing_local_user_context": true,
"missing_context_relevant_to_answer": true,
"almost_uniquely_recoverable": false,
"plausible_restoration_1": "one person died and",
"plausible_restoration_2": "two people died and",
"answer_under_restoration_1": "On... | {
"one_dominant_reconstruction": false,
"restoration_1": "one militant was killed and",
"restoration_2": "two militants were killed and",
"answer_1": "One person died.",
"answer_2": "Two people died.",
"both_restorations_plausible": true,
"answers_materially_different": true,
"reason": "The missing span... | {
"proposer": "resp_0cf47f1e528a2e09016a92b61727f887d2b4fbf0f7f2b67948",
"verifier": "resp_0a9ae8d4453a640d016a92b61bc61887d2b489f8609c1507ff",
"reconstruction": "resp_0590912eb6ce0dae016a92b61ecba087d29e4ada8fd26d3877",
"clarification_generator": "resp_03b8f13a2307d611016a95f3141e5c87d2a73bd00c5c0911db",
"cl... | {
"proposer": {
"input_tokens": 1861,
"output_tokens": 357,
"total_tokens": 2218,
"cached_tokens": 1365,
"reasoning_tokens": 229
},
"verifier": {
"input_tokens": 1551,
"output_tokens": 269,
"total_tokens": 1820,
"cached_tokens": 0,
"reasoning_tokens": 60
},
"reconstruct... | cnn_23bb0f67978330ae0c73b05f1d8182d1880f131a.story | cnn_23bb0f67978330ae0c73b05f1d8182d1880f131a.story | {
"span": "one person was killed and ",
"expected_answer": "one",
"exact_copy_of_removed_span": false,
"similarity_to_removed_span": 0.8181818181818182,
"generation_reason": "The completion makes the sentence grammatical and directly states that one person died in the airstrike, supporting the expected answer... | {
"accept": true,
"passage_natural": true,
"no_passage_contradiction": true,
"no_history_contradiction": true,
"clarification_relevant": true,
"question_well_specified": true,
"expected_answer_supported": true,
"answer_determinate": true,
"reason": "The span naturally specifies that one person was kil... |
dev:3snvl38ci4sjc44metxl3bms7eyck3:5 | dev | 3snvl38ci4sjc44metxl3bms7eyck3 | 5 | What did they name the friendly animal? | [
"Was the mother old?",
"no",
"What did she have?",
"a child",
"What grade were they in?",
"kindergarten",
"Where was the school outing to?",
"the zoo"
] | [
"What did the child name the animal that was friendly?",
"When the child found a friendly animal, what name did they give to it?",
"What was the name the child gave the friendly tiger?"
] | kitty | kitty | {
"full_low_s": {
"story": "A young mother had a child that was in kindergarten. One day, the class took a trip to the zoo. This was the start of a very good day. The child had a lot of fun. The animals were very friendly, and the friendliest of all was a baby tiger, which the child called 'kitty'. The mother lau... | {
"removed_span": "kitty",
"removed_chars": 5,
"removed_fraction": 0.0059382422802850355,
"missing_context_type": "factual_value",
"answer_support_removed": true
} | {
"possible": true,
"delete_span": "kitty",
"missing_context_type": "factual_value",
"full_input_well_specified": true,
"plausible_completion_1": "kitty",
"plausible_completion_2": "Fluffy",
"answer_under_completion_1": "kitty",
"answer_under_completion_2": "Fluffy",
"answers_materially_different": tr... | {
"accept": true,
"full_input_well_specified": true,
"missing_local_user_context": true,
"missing_context_relevant_to_answer": true,
"almost_uniquely_recoverable": false,
"plausible_restoration_1": "kitty",
"plausible_restoration_2": "a different name, such as tiger",
"answer_under_restoration_1": "They... | {
"one_dominant_reconstruction": false,
"restoration_1": "which the child called 'Spot'",
"restoration_2": "which the child called 'Fluffy'",
"answer_1": "Spot",
"answer_2": "Fluffy",
"both_restorations_plausible": true,
"answers_materially_different": true,
"reason": "The passage provides no informatio... | {
"proposer": "resp_0e1cbff90bb4204f016a92b5fe2ff487d2b4a9aeb1462b6207",
"verifier": "resp_0b6abdb634c99db3016a92b601110887d29d1f7617fac53dbd",
"reconstruction": "resp_0a8e1fb090068009016a92b60345cc87d285e3ea64abd02faa",
"clarification_generator": "resp_0d613668e213f2bf016a95f314111c87d2953156482c834117",
"cl... | {
"proposer": {
"input_tokens": 1654,
"output_tokens": 250,
"total_tokens": 1904,
"cached_tokens": 1365,
"reasoning_tokens": 133
},
"verifier": {
"input_tokens": 1206,
"output_tokens": 189,
"total_tokens": 1395,
"cached_tokens": 0,
"reasoning_tokens": 0
},
"reconstructi... | mc500.test.19 | mc500.test.19 | {
"span": "kitty",
"expected_answer": "kitty",
"exact_copy_of_removed_span": true,
"similarity_to_removed_span": 1,
"generation_reason": "The child called the baby tiger “kitty,” which directly supports the expected answer."
} | {
"accept": true,
"passage_natural": true,
"no_passage_contradiction": true,
"no_history_contradiction": true,
"clarification_relevant": true,
"question_well_specified": true,
"expected_answer_supported": true,
"answer_determinate": true,
"reason": "The passage explicitly states that the child called ... |
dev:3rrcefrb7mcfoxndf1ealaresyfb4u:5 | dev | 3rrcefrb7mcfoxndf1ealaresyfb4u | 5 | how did the woman reply? | [
"Where did Lisa talk about?",
"Micronesia",
"and what is that?",
"an island in the Pacific",
"what did she think?",
"people weren't paying any attention to her",
"what did she ask the woman?",
"Do you have cold drinks?"
] | [
"What response did Lisa receive from the Micronesian woman?",
"What did the Micronesian woman do in response to Lisa's question?",
"What did the Micronesian woman do when Lisa asked her question?"
] | She didn't say anything | The woman there didn't say anything. | {
"full_low_s": {
"story": "Living in a foreign culture can be exciting, but it can also be confusing . A group of Americans who taught English in other countries recently discussed their experiences. They decided that miscommunications were always possible, even over something as simple as\"yes\"and\"no\". On he... | {
"removed_span": "The woman there didn't say anything. Lisa repeated the question. Still the woman said nothing. She later learned that the woman had answered her: She had raised her eyebrows , which in Micronesia means\"yes\".",
"removed_chars": 207,
"removed_fraction": 0.13920645595158038,
"missing_context_t... | {
"possible": true,
"delete_span": "The woman there didn't say anything. Lisa repeated the question. Still the woman said nothing. She later learned that the woman had answered her: She had raised her eyebrows , which in Micronesia means\"yes\".",
"missing_context_type": "factual_value",
"full_input_well_specif... | {
"accept": true,
"full_input_well_specified": true,
"missing_local_user_context": true,
"missing_context_relevant_to_answer": true,
"almost_uniquely_recoverable": false,
"plausible_restoration_1": "The woman said nothing, and Lisa interpreted this as no reply.",
"plausible_restoration_2": "The woman rais... | {
"one_dominant_reconstruction": false,
"restoration_1": "The woman shook her head.",
"restoration_2": "The woman nodded her head.",
"answer_1": "She shook her head.",
"answer_2": "She nodded her head.",
"both_restorations_plausible": true,
"answers_materially_different": true,
"reason": "The missing sp... | {
"proposer": "resp_035568637c77978b016a92b5f68e8087d2878f76764454309f",
"verifier": "resp_03ac79d4289d0e9e016a92b601290487d28fc5ae0456fe6cba",
"reconstruction": "resp_046ed42ef85bbe74016a92b604767487d29c1fd9f9217ffd13",
"clarification_generator": "resp_014ee254a88a2e8f016a95f314119887d28674a96cc5bdd75e",
"cl... | {
"proposer": {
"input_tokens": 1793,
"output_tokens": 1088,
"total_tokens": 2881,
"cached_tokens": 1365,
"reasoning_tokens": 811
},
"verifier": {
"input_tokens": 1454,
"output_tokens": 333,
"total_tokens": 1787,
"cached_tokens": 0,
"reasoning_tokens": 120
},
"reconstru... | middle6166.txt | middle6166.txt | {
"span": "The woman didn't say anything, so Lisa thought she wasn't paying attention.",
"expected_answer": "She didn't say anything",
"exact_copy_of_removed_span": false,
"similarity_to_removed_span": 0.2198581560283688,
"generation_reason": "The insertion naturally explains Lisa's impression and directly su... | {
"accept": true,
"passage_natural": true,
"no_passage_contradiction": true,
"no_history_contradiction": true,
"clarification_relevant": true,
"question_well_specified": true,
"expected_answer_supported": true,
"answer_determinate": true,
"reason": "The clarification naturally states that the woman di... |
dev:3bv8hq2zzw1okamzsb7tnxrm7i66a8:13 | dev | 3bv8hq2zzw1okamzsb7tnxrm7i66a8 | 13 | was he white? | [
"what was discovered?",
"A body",
"where?",
"Churchill Downs",
"what day?",
"Sunday",
"was there an autopsy?",
"yes",
"when?",
"Monday",
"did the news report the found body?",
"unknown",
"who reported on this?",
"Kara Devlin and Christine Sever",
"who do they work for?",
"CNN",
"what... | [
"Was the body found that of a white man?",
"Was the man whose body was discovered white?",
"Was it a white man's body that police discovered at Churchill Downs?"
] | no | Latino man | {
"full_low_s": {
"story": "(CNN) -- A body discovered at Churchill Downs on Sunday, a day after the storied Louisville racetrack hosted the Kentucky Derby, may have been the victim of a homicide, police said. \n\nWorkers in the barn area discovered the body early in the morning and notified track security, which... | {
"removed_span": "Latino",
"removed_chars": 6,
"removed_fraction": 0.004169562195969423,
"missing_context_type": "factual_value",
"answer_support_removed": false
} | {
"possible": true,
"delete_span": "Latino",
"missing_context_type": "factual_value",
"full_input_well_specified": true,
"plausible_completion_1": "The body appears to be a Latino man in his 30s or 40s.",
"plausible_completion_2": "The body appears to be a white man in his 30s or 40s.",
"answer_under_comp... | {
"accept": true,
"full_input_well_specified": true,
"missing_local_user_context": true,
"missing_context_relevant_to_answer": true,
"almost_uniquely_recoverable": false,
"plausible_restoration_1": "Latino",
"plausible_restoration_2": "white",
"answer_under_restoration_1": "No; the report described him ... | {
"one_dominant_reconstruction": false,
"restoration_1": "white",
"restoration_2": "black",
"answer_1": "Yes, he was white.",
"answer_2": "No, he was not white.",
"both_restorations_plausible": true,
"answers_materially_different": true,
"reason": "The passage establishes only that the body was a male i... | {
"proposer": "resp_0ba22b1a3d0e13db016a92b610b06087d282730da52194a40f",
"verifier": "resp_0b15b1e7e81a281d016a92b61474dc87d29723909a795acb9e",
"reconstruction": "resp_0c3fa0900b63ce83016a92b6176acc87d2989b3ca4ec4d77ca",
"clarification_generator": "resp_0f026a3ad4925412016a95f314258487d2870466c3bf4251b1",
"cl... | {
"proposer": {
"input_tokens": 1871,
"output_tokens": 335,
"total_tokens": 2206,
"cached_tokens": 1365,
"reasoning_tokens": 183
},
"verifier": {
"input_tokens": 1548,
"output_tokens": 263,
"total_tokens": 1811,
"cached_tokens": 0,
"reasoning_tokens": 84
},
"reconstruct... | cnn_a3a032971cfc319bea80a76cbca3b946bb46145d.story | cnn_a3a032971cfc319bea80a76cbca3b946bb46145d.story | {
"span": "black",
"expected_answer": "no",
"exact_copy_of_removed_span": false,
"similarity_to_removed_span": 0.36363636363636365,
"generation_reason": "The phrase “a black man in his 30s or 40s” is grammatical and supports the answer that he was not white."
} | {
"accept": true,
"passage_natural": true,
"no_passage_contradiction": true,
"no_history_contradiction": true,
"clarification_relevant": true,
"question_well_specified": true,
"expected_answer_supported": true,
"answer_determinate": true,
"reason": "The passage states that the unidentified body appear... |
dev:354p56de9k3bo6myslyceblont27sw:16 | dev | 354p56de9k3bo6myslyceblont27sw | 16 | What did Jeff think of that? | [
"Who is Forrest?",
"dog",
"and Jeff?",
"His owner",
"what did Jeff think of Forrest?",
"best dog in the world",
"Did they do anything together?",
"walked in the park",
"was it day or night?",
"night",
"what kind of night?",
"very dark",
"did they notice anything?",
"two men",
"did they s... | [
"How did Jeff interpret Forrest's bark?",
"What did Jeff think about Forrest barking?",
"When Forrest barked, what did Jeff think about that?"
] | He liked that they always saw things the same | Jeff smiled. He liked that his dog always saw things the same way he did. | {
"full_low_s": {
"story": "There once was a big black and white dog named Forrest. His owner's name was Jeff. Jeff thought he was the best dog in the whole world. \n\nOne night, when Forrest and Jeff were taking a walk in the park, they saw two men walking down the path. Both men were dressed in very nice suits.... | {
"removed_span": "Jeff smiled. He liked that his dog always saw things the same way he did.",
"removed_chars": 73,
"removed_fraction": 0.0712890625,
"missing_context_type": "relation",
"answer_support_removed": true
} | {
"possible": true,
"delete_span": "Jeff smiled. He liked that his dog always saw things the same way he did.",
"missing_context_type": "relation",
"full_input_well_specified": true,
"plausible_completion_1": "Jeff smiled. He liked that his dog always saw things the same way he did.",
"plausible_completion_... | {
"accept": true,
"full_input_well_specified": true,
"missing_local_user_context": true,
"missing_context_relevant_to_answer": true,
"almost_uniquely_recoverable": false,
"plausible_restoration_1": "Jeff smiled because he liked that Forrest seemed to agree with him that the men were ghosts.",
"plausible_r... | {
"one_dominant_reconstruction": false,
"restoration_1": "Jeff thought that Forrest agreed with him that the two men were ghosts.",
"restoration_2": "Jeff thought that Forrest understood what he was saying, but the bark did not necessarily mean agreement.",
"answer_1": "He thought Forrest agreed that the men we... | {
"proposer": "resp_0f69e5968ffff8e4016a92b6224db487d2bdec845f416d1b7f",
"verifier": "resp_0bbd08594655d47c016a92b627a9f887d2b2db5ce0e8df41de",
"reconstruction": "resp_04ae6e0b01429faa016a92b62bfb6887d2b3b0395c44b24a85",
"clarification_generator": "resp_0ef9c7958ad87f50016a95f3141a1087d2a4f2ff33a2a3d5f5",
"cl... | {
"proposer": {
"input_tokens": 1883,
"output_tokens": 526,
"total_tokens": 2409,
"cached_tokens": 1365,
"reasoning_tokens": 337
},
"verifier": {
"input_tokens": 1457,
"output_tokens": 346,
"total_tokens": 1803,
"cached_tokens": 0,
"reasoning_tokens": 132
},
"reconstruc... | mc160.train.27 | mc160.train.27 | {
"span": "Jeff smiled. He liked that he and Forrest always saw things the same way.",
"expected_answer": "He liked that they always saw things the same",
"exact_copy_of_removed_span": false,
"similarity_to_removed_span": 0.863013698630137,
"generation_reason": "The added sentence naturally follows Forrest's ... | {
"accept": true,
"passage_natural": true,
"no_passage_contradiction": true,
"no_history_contradiction": true,
"clarification_relevant": true,
"question_well_specified": true,
"expected_answer_supported": true,
"answer_determinate": true,
"reason": "The span follows naturally after Forrest barked, exp... |
dev:3k2755hg5s3i1aimde1z74c5kjodfz:6 | dev | 3k2755hg5s3i1aimde1z74c5kjodfz | 6 | Why? | [
"Where did Sally go in the summer?",
"summer camp",
"Did she make any friends there?",
"Yes",
"With who?",
"Tina",
"What was Tina's favorite activity?",
"arts and crafts",
"What was Sally's?",
"walking in the woods"
] | [
"Why was Sally so fond of walking in the woods?",
"Why was walking in the woods Sally's favorite activity?",
"What did Sally like about walking in the woods?"
] | because she enjoyed nature | because she enjoyed nature | {
"full_low_s": {
"story": "Sally had a very exciting summer vacation. She went to summer camp for the first time. She made friends with a girl named Tina. They shared a bunk bed in their cabin. Sally's favorite activity was walking in the woods because she enjoyed nature. Tina liked arts and crafts. Together, th... | {
"removed_span": "because she enjoyed nature",
"removed_chars": 26,
"removed_fraction": 0.026859504132231406,
"missing_context_type": "factual_value",
"answer_support_removed": true
} | {
"possible": true,
"delete_span": "because she enjoyed nature",
"missing_context_type": "factual_value",
"full_input_well_specified": true,
"plausible_completion_1": "because she enjoyed nature",
"plausible_completion_2": "because she liked exploring the woods",
"answer_under_completion_1": "because she ... | {
"accept": true,
"full_input_well_specified": true,
"missing_local_user_context": true,
"missing_context_relevant_to_answer": true,
"almost_uniquely_recoverable": false,
"plausible_restoration_1": "because she enjoyed nature",
"plausible_restoration_2": "because she liked exploring the woods",
"answer_... | {
"one_dominant_reconstruction": false,
"restoration_1": "because she loved seeing the animals in the woods.",
"restoration_2": "because she enjoyed exploring nature with her friends.",
"answer_1": "She liked walking in the woods because she loved seeing the animals there.",
"answer_2": "She liked walking in ... | {
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"reconstruct... | mc160.dev.1 | mc160.dev.1 | {
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dev:3tk8ojtym1lgm472i2xypkwgnt8pv1:7 | dev | 3tk8ojtym1lgm472i2xypkwgnt8pv1 | 7 | what did he start competing in? | [
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"fish",
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"15"
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"What did Rick Hansen start competing in?",
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] | wheelchair sports | wheelchair sports | {
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dev:3j88r45b2gy8qtcxihygd5t137xpxr:15 | dev | 3j88r45b2gy8qtcxihygd5t137xpxr | 15 | did the movie break any records? | [
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"Was American Sniper a record breaking film?",
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dev:3w92k5rlwuhctupjynokrerzw095vb:6 | dev | 3w92k5rlwuhctupjynokrerzw095vb | 6 | Had it been a long drop? | [
"Who fell from one floor to the one under it?",
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"Tario",
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"Thuvia",
"Was that a girl?",
"yes",
"How did Carthoris land?",
"catlike"
] | [
"Was the drop quite long?",
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] | no | it could not have been great | {
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"story": "CHAPTER IX \n\nTHE BATTLE IN THE PLAIN \n\nThe distance from the bottom of the funnel to the floor of the chamber beneath it could not have been great, for all three of the victims of Tario's wrath alighted unscathed. \n\nCarthoris, still clasping Thuvia tightly to his breast, came to ... | {
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"reconstruct... | data/gutenberg/txt/Edgar Rice Burroughs___Thuvia, Maid of Mars.txt/CHAPTER IX_593807c9b09b7306b924e61ed0ec8c67cfe6b39c0535efd0b1cc913 | data/gutenberg/txt/Edgar Rice Burroughs___Thuvia, Maid of Mars.txt/CHAPTER IX_593807c9b09b7306b924e61ed0ec8c67cfe6b39c0535efd0b1cc913 | {
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dev:3qemnnsb2xz5mh3gvv3njczontvd7i:8 | dev | 3qemnnsb2xz5mh3gvv3njczontvd7i | 8 | How many items did he produce? | [
"Degas is known as what?",
"founder of Impressionism",
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"three",
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"classicism",
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"romanticism",
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"realism",
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"unique",
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"How many paintings did Degas produce?",
"What is the size of Degas' oeuvre?",
"How many pieces were produced in total by Degas?"
] | over one thousand | producing over one thousand works | {
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"reconstructi... | high13541.txt | high13541.txt | {
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dev:3ctoc39k37qip3385rpymau1r757jq:3 | dev | 3ctoc39k37qip3385rpymau1r757jq | 3 | What language does Rudd speak? | [
"Who has led the Liberal Party?",
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"Kevin Rudd"
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"What language does Kevin Rudd speak?",
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] | Chinese | Chinese | {
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"plausible_restoration_1": "Chinese-speaking",
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dev:3lrliptpeq9vjp7ouf1uxgw48jdakg:3 | dev | 3lrliptpeq9vjp7ouf1uxgw48jdakg | 3 | how many men were coming for them? | [
"who rose to his feet?",
"Aquila",
"whose name did he mutter?",
"\"Masuccio Torri.\""
] | [
"How many men were in route towards the group?",
"How many mercenaries were coming in the group's direction?",
"What was the number of men who were on their way towards the group?"
] | 50. | his fifty mercenaries." | {
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} | {
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"plausible_completion_1": "his fifty mercenaries.",
"plausible_completion_2": "his seventy mercenaries.",
"answer_under_completion_1": "50",
"answer_under_completion_2": "70",
"answe... | {
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"reconstruct... | data/gutenberg/txt/Rafael Sabatini___Love-at-Arms.txt/CHAPTER II_551f94cbcc2280fe556169b864722f630583390e5ab4989ce4eb400 | data/gutenberg/txt/Rafael Sabatini___Love-at-Arms.txt/CHAPTER II_551f94cbcc2280fe556169b864722f630583390e5ab4989ce4eb400 | {
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dev:3tdxmtx3cbu3qs5x4zz64vf5jpxi67:2 | dev | 3tdxmtx3cbu3qs5x4zz64vf5jpxi67 | 2 | Was it snowing? | [
"Who seen a squirrel?",
"the lady"
] | [
"Was there snow on the ground?",
"Was there snowy weather?",
"Was snow falling?"
] | yes | a snowy winter morning | {
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"story": "On a snowy winter morning, the brown-haired lady saw a squirrel that was hurt. It only had three legs, and it looked hungry. She put some corn out for the squirrel to eat, but other bully squirrels came, too. The brown-haired lady started giving the little squirrel peanuts to eat. She ... | {
"removed_span": "snowy",
"removed_chars": 5,
"removed_fraction": 0.005537098560354375,
"missing_context_type": "factual_value",
"answer_support_removed": false
} | {
"possible": true,
"delete_span": "snowy",
"missing_context_type": "factual_value",
"full_input_well_specified": true,
"plausible_completion_1": "On a snowy winter morning, the brown-haired lady saw a squirrel that was hurt.",
"plausible_completion_2": "On a warm winter morning, the brown-haired lady saw a... | {
"accept": true,
"full_input_well_specified": true,
"missing_local_user_context": true,
"missing_context_relevant_to_answer": true,
"almost_uniquely_recoverable": false,
"plausible_restoration_1": "snowy",
"plausible_restoration_2": "rainy",
"answer_under_restoration_1": "Yes, it was snowing.",
"answ... | {
"one_dominant_reconstruction": false,
"restoration_1": "On a snowy winter morning, ...",
"restoration_2": "On a cold winter morning, ...",
"answer_1": "Yes, it was likely snowing.",
"answer_2": "No, the passage does not establish that it was snowing.",
"both_restorations_plausible": true,
"answers_mater... | {
"proposer": "resp_07aa954c82886ee3016a92b6821a8c87d2bf679e66d8d74d4c",
"verifier": "resp_0bb6586f56ad697e016a92b6861e8087d28f91c45553a56581",
"reconstruction": "resp_0b8fb77935821d62016a92b688c43087d2852dc3398a5d9ba9",
"clarification_generator": "resp_060538e1f22a7c98016a95f31b942887d29b72fc8f315fb462",
"cl... | {
"proposer": {
"input_tokens": 1612,
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"total_tokens": 1973,
"cached_tokens": 1365,
"reasoning_tokens": 198
},
"verifier": {
"input_tokens": 1159,
"output_tokens": 253,
"total_tokens": 1412,
"cached_tokens": 0,
"reasoning_tokens": 70
},
"reconstruct... | mc160.train.55 | mc160.train.55 | {
"span": "snowy",
"expected_answer": "yes",
"exact_copy_of_removed_span": true,
"similarity_to_removed_span": 1,
"generation_reason": "“On a snowy winter morning” naturally fits the sentence and supports the answer that it was snowing."
} | {
"accept": true,
"passage_natural": true,
"no_passage_contradiction": true,
"no_history_contradiction": true,
"clarification_relevant": true,
"question_well_specified": true,
"expected_answer_supported": true,
"answer_determinate": true,
"reason": "The phrase \"On a snowy winter morning\" is grammati... |
dev:3a7y0r2p2ooc4i9zn4twg97pucmxj2:3 | dev | 3a7y0r2p2ooc4i9zn4twg97pucmxj2 | 3 | What did she teach Mr. Currie to draw? | [
"What did Phoebe want a reprieve from?",
"exile",
"From where?",
"at Hiltonbury"
] | [
"What did Phoebe teach Mr. Currie to draw?",
"What was Mr. Currie taught to draw by Phoebe?",
"What did Phoebe help Mr. Currie learn to draw?"
] | little trees | with the little trees that she had taught him to draw. | {
"full_low_s": {
"story": "CHAPTER XXIX \n\nHave you seen but a bright lily grow, Before rude hands have touched it? Have you marked but the fall of the snow, Before the soil hath smutched it?--BEN JONSON \n\nAt the end of a week Mervyn made his appearance in a vehement hurry. Cecily's next sister, an officer's ... | {
"removed_span": "with the little trees that she had taught him to draw",
"removed_chars": 53,
"removed_fraction": 0.03329145728643216,
"missing_context_type": "factual_value",
"answer_support_removed": false
} | {
"possible": true,
"delete_span": "with the little trees that she had taught him to draw",
"missing_context_type": "factual_value",
"full_input_well_specified": true,
"plausible_completion_1": "with the little trees that she had taught him to draw",
"plausible_completion_2": "with the winding roads that sh... | {
"accept": true,
"full_input_well_specified": true,
"missing_local_user_context": true,
"missing_context_relevant_to_answer": true,
"almost_uniquely_recoverable": false,
"plausible_restoration_1": "with the little trees that she had taught him to draw",
"plausible_restoration_2": "with the small houses t... | {
"one_dominant_reconstruction": false,
"restoration_1": "she would teach Mr. Currie to draw the Roman Wall",
"restoration_2": "she would teach Mr. Currie to draw figures",
"answer_1": "the Roman Wall",
"answer_2": "figures",
"both_restorations_plausible": true,
"answers_materially_different": true,
"re... | {
"proposer": "resp_0a46f2af46c22d86016a92b610a7d887d28c1972f6bb8b2ad8",
"verifier": "resp_09ed651e6ee29e37016a92b615628c87d28e21538b7cfa3fc8",
"reconstruction": "resp_034468d9a1a3153b016a92b618749087d288b5f268bc814910",
"clarification_generator": "resp_0d58d2681c654e52016a95f3140f4087d2b1dc03157b69f1c3",
"cl... | {
"proposer": {
"input_tokens": 1832,
"output_tokens": 437,
"total_tokens": 2269,
"cached_tokens": 1365,
"reasoning_tokens": 281
},
"verifier": {
"input_tokens": 1558,
"output_tokens": 268,
"total_tokens": 1826,
"cached_tokens": 0,
"reasoning_tokens": 58
},
"reconstruct... | data/gutenberg/txt/Charlotte Mary Yonge___Hopes and Fears.txt/CHAPTER XXIX_e9805e8a448e4dc2ad4882426d1893088cbc5a8cd93f91e8d0e7a14 | data/gutenberg/txt/Charlotte Mary Yonge___Hopes and Fears.txt/CHAPTER XXIX_e9805e8a448e4dc2ad4882426d1893088cbc5a8cd93f91e8d0e7a14 | {
"span": "she could not regret having taught Mr. Currie to draw little trees",
"expected_answer": "little trees",
"exact_copy_of_removed_span": false,
"similarity_to_removed_span": 0.25210084033613445,
"generation_reason": "The completion fits grammatically after the comma and explicitly establishes that Pho... | {
"accept": true,
"passage_natural": true,
"no_passage_contradiction": true,
"no_history_contradiction": true,
"clarification_relevant": true,
"question_well_specified": true,
"expected_answer_supported": true,
"answer_determinate": true,
"reason": "The passage naturally states that Phoebe taught Mr. ... |
dev:36v4q8r5zk0iwte84nbw2t3d1xrmqj:8 | dev | 36v4q8r5zk0iwte84nbw2t3d1xrmqj | 8 | What drug was he high on? | [
"Who is Dickinson's grandson?",
"Caden",
"What type of injury did he suffer?",
"head injury",
"Did someone hurt him?",
"yes",
"Who?",
"his mother's boyfriend",
"What did the dude do to the little boy?",
"he threw him",
"Was the boyfriend inebriated at the time?",
"yes",
"Was he doing the coc... | [
"What drug was the boyfriend under the influence of?",
"What was the drug the boyfriend had taken?",
"What drug was used by the boyfriend?"
] | marijuana | marijuana | {
"full_low_s": {
"story": "Time was running out, and Mark Dickinson wasn't sure whether he'd get to see his dying 2-year-old grandson one last time. A long line at Los Angeles International Airport's security checkpoint had kept him from getting to his gate on time. \n\nHis grandson Caden would be taken off life... | {
"removed_span": "marijuana",
"removed_chars": 9,
"removed_fraction": 0.004534005037783375,
"missing_context_type": "factual_value",
"answer_support_removed": true
} | {
"possible": true,
"delete_span": "marijuana",
"missing_context_type": "factual_value",
"full_input_well_specified": true,
"plausible_completion_1": "The boyfriend reportedly told police he was drunk and high on marijuana at the time.",
"plausible_completion_2": "The boyfriend reportedly told police he was... | {
"accept": true,
"full_input_well_specified": true,
"missing_local_user_context": true,
"missing_context_relevant_to_answer": true,
"almost_uniquely_recoverable": false,
"plausible_restoration_1": "marijuana",
"plausible_restoration_2": "heroin",
"answer_under_restoration_1": "He was high on marijuana.... | {
"one_dominant_reconstruction": false,
"restoration_1": "marijuana",
"restoration_2": "PCP",
"answer_1": "Marijuana",
"answer_2": "PCP",
"both_restorations_plausible": true,
"answers_materially_different": true,
"reason": "The surrounding passage only says the boyfriend was drunk and high on an unspeci... | {
"proposer": "resp_0290e099629c55d8016a92b6c07bb487d29af307ddcadab9e5",
"verifier": "resp_05611a7eb83d4836016a92b6c33a3087d29b48821ce675f608",
"reconstruction": "resp_0e63d00fc24f0b09016a92b6c6d9f487d2929c22fde7ea70b3",
"clarification_generator": "resp_076cbe48313690a3016a95f31f1ce487d28f2434d104b61cc5",
"cl... | {
"proposer": {
"input_tokens": 1906,
"output_tokens": 156,
"total_tokens": 2062,
"cached_tokens": 1365,
"reasoning_tokens": 0
},
"verifier": {
"input_tokens": 1660,
"output_tokens": 288,
"total_tokens": 1948,
"cached_tokens": 0,
"reasoning_tokens": 94
},
"reconstructio... | high597.txt | high597.txt | {
"span": "marijuana",
"expected_answer": "marijuana",
"exact_copy_of_removed_span": true,
"similarity_to_removed_span": 1,
"generation_reason": "The sentence becomes grammatical and directly supports the expected answer: the boyfriend was drunk and high on marijuana."
} | {
"accept": true,
"passage_natural": true,
"no_passage_contradiction": true,
"no_history_contradiction": true,
"clarification_relevant": true,
"question_well_specified": true,
"expected_answer_supported": true,
"answer_determinate": true,
"reason": "The passage explicitly states that the boyfriend was... |
dev:3kakfy4pgu24t9iflx18xs3la3j3il:12 | dev | 3kakfy4pgu24t9iflx18xs3la3j3il | 12 | who is their main competitor in China? | [
"who are some artists currently working with RCA?",
"Shakira, Christina Aguilera, and Pitbull",
"who owns RCA?",
"Sony Music",
"what genres do they work with?",
"multiple genres",
"is it the oldest recording company?",
"No",
"which is the oldest?",
"Columbia Records",
"what was the company befor... | [
"Who is RCA's main competitor in China?",
"Who does RCA mainly compete with in China?",
"What recording company in China is RCA mainly in competition with?"
] | Baak Doi | in Shanghai, China, RCA Victor was the main competitor with Baak Doi (EMI) | {
"full_low_s": {
"story": "RCA Records is an American record label owned by Sony Music, a subsidiary of Sony Corporation of America. It is one of SME's three flagship record labels, alongside Columbia Records and Epic Records. The label has released multiple genres of music, including pop, rock, hip hop, electro... | {
"removed_span": "in Shanghai, China, RCA Victor was the main competitor with Baak Doi (EMI).",
"removed_chars": 75,
"removed_fraction": 0.04335260115606936,
"missing_context_type": "factual_value",
"answer_support_removed": true
} | {
"possible": true,
"delete_span": "in Shanghai, China, RCA Victor was the main competitor with Baak Doi (EMI).",
"missing_context_type": "factual_value",
"full_input_well_specified": true,
"plausible_completion_1": "in Shanghai, China, RCA Victor was the main competitor with Baak Doi (EMI).",
"plausible_co... | {
"accept": true,
"full_input_well_specified": true,
"missing_local_user_context": true,
"missing_context_relevant_to_answer": true,
"almost_uniquely_recoverable": false,
"plausible_restoration_1": "in Shanghai, China, RCA Victor was the main competitor with Baak Doi (EMI).",
"plausible_restoration_2": "i... | {
"one_dominant_reconstruction": false,
"restoration_1": "RCA's main competitor in China was China Record Corporation.",
"restoration_2": "RCA's main competitor in China was Sony Music China.",
"answer_1": "China Record Corporation",
"answer_2": "Sony Music China",
"both_restorations_plausible": true,
"an... | {
"proposer": "resp_0d013bd9bdae26e9016a92b6c61f4087d2a12d1888cf752502",
"verifier": "resp_00d5c4d3679db751016a92b6cd95f087d28c655e76bc2f4e6f",
"reconstruction": "resp_09e4847b63f0d8f6016a92b6cffaf087d2b1f2cf871191e00c",
"clarification_generator": "resp_03f5004989e13d84016a95f31f27fc87d287a341568677001b",
"cl... | {
"proposer": {
"input_tokens": 1980,
"output_tokens": 697,
"total_tokens": 2677,
"cached_tokens": 1365,
"reasoning_tokens": 516
},
"verifier": {
"input_tokens": 1683,
"output_tokens": 236,
"total_tokens": 1919,
"cached_tokens": 0,
"reasoning_tokens": 0
},
"reconstructi... | RCA_Records.txt | RCA_Records.txt | {
"span": "in China, its main competitor was Baak Doi. ",
"expected_answer": "Baak Doi",
"exact_copy_of_removed_span": false,
"similarity_to_removed_span": 0.6949152542372882,
"generation_reason": "The insertion naturally completes the sentence and explicitly identifies Baak Doi as RCA Victor's main competito... | {
"accept": true,
"passage_natural": true,
"no_passage_contradiction": true,
"no_history_contradiction": true,
"clarification_relevant": true,
"question_well_specified": true,
"expected_answer_supported": true,
"answer_determinate": true,
"reason": "The span is grammatical and naturally fits the passa... |
dev:3azhrg4cu4ktme1zh7c2ro3po9a30y:11 | dev | 3azhrg4cu4ktme1zh7c2ro3po9a30y | 11 | why? | [
"who was carried?",
"Foy",
"on what?",
"the naked back of Martin",
"where to?",
"the shelter of Mother Martha's lair",
"what event was this prior to?",
"Elsa's forced marriage",
"where?",
"the Red Mill",
"how long before?",
"some weeks",
"what were they esaping?",
"the Gevangenhuis",
"wh... | [
"Why didn't Foy feel well?",
"What was the problem with Foy?",
"How had Foy fallen ill?"
] | the sword cut in his thigh | for the sword cut in his thigh | {
"full_low_s": {
"story": "CHAPTER XXVII \n\nWHAT ELSA SAW IN THE MOONLIGHT \n\nIt will be remembered that some weeks before Elsa's forced marriage in the Red Mill, Foy, on their escape from the Gevangenhuis, had been carried upon the naked back of Martin to the shelter of Mother Martha's lair in the Haarlemer M... | {
"removed_span": "for the sword cut in his thigh festered so badly that at one time his life was threatened by gangrene",
"removed_chars": 101,
"removed_fraction": 0.0735080058224163,
"missing_context_type": "factual_value",
"answer_support_removed": true
} | {
"possible": true,
"delete_span": "for the sword cut in his thigh festered so badly that at one time his life was threatened by gangrene",
"missing_context_type": "factual_value",
"full_input_well_specified": true,
"plausible_completion_1": "for the sword cut in his thigh festered so badly that at one time h... | {
"accept": true,
"full_input_well_specified": true,
"missing_local_user_context": true,
"missing_context_relevant_to_answer": true,
"almost_uniquely_recoverable": false,
"plausible_restoration_1": "because the sword cut in his thigh festered badly and threatened gangrene",
"plausible_restoration_2": "bec... | {
"one_dominant_reconstruction": false,
"restoration_1": "and was very ill from the wounds and hardships he had suffered during the escape",
"restoration_2": "and contracted a fever from exposure and exhaustion",
"answer_1": "Foy was ill because of injuries and hardships sustained during the escape.",
"answer... | {
"proposer": "resp_0634be56be899649016a92b6b4835887d2b797fd369f16acce",
"verifier": "resp_0b53234394addab6016a92b6ba360087d29f99c2fd407105f1",
"reconstruction": "resp_0dc5e3ffc02d5b4a016a92b6bd5eb887d2ba9978fd66e7e161",
"clarification_generator": "resp_04a39da6aad22931016a95f31e7aa087d2b41f664f060dafbd",
"cl... | {
"proposer": {
"input_tokens": 1863,
"output_tokens": 584,
"total_tokens": 2447,
"cached_tokens": 1365,
"reasoning_tokens": 393
},
"verifier": {
"input_tokens": 1527,
"output_tokens": 301,
"total_tokens": 1828,
"cached_tokens": 0,
"reasoning_tokens": 75
},
"reconstruct... | data/gutenberg/txt/Henry Rider Haggard___Lysbeth.txt/CHAPTER XXVII_747fb7965097f52f033208a87d5b4309eda8cbf1b809d1c417e84bc | data/gutenberg/txt/Henry Rider Haggard___Lysbeth.txt/CHAPTER XXVII_747fb7965097f52f033208a87d5b4309eda8cbf1b809d1c417e84bc | {
"span": "owing to a sword-cut in his thigh",
"expected_answer": "the sword cut in his thigh",
"exact_copy_of_removed_span": false,
"similarity_to_removed_span": 0.373134328358209,
"generation_reason": "The insertion naturally explains why Foy lay sick for many days and directly supports that the cause was a... | {
"accept": true,
"passage_natural": true,
"no_passage_contradiction": true,
"no_history_contradiction": true,
"clarification_relevant": true,
"question_well_specified": true,
"expected_answer_supported": true,
"answer_determinate": true,
"reason": "The phrase “owing to a sword-cut in his thigh” natur... |
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