Datasets:
Tasks:
Question Answering
Languages:
English
Size:
10K<n<100K
Tags:
adversarial-robustness
certified-radius
span-extraction
question-answering
retrieval-augmented-generation
License:
| [ | |
| { | |
| "question": "What does increased oxygen concentrations in the patient's lungs displace?", | |
| "gold": "carbon monoxide", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Increased oxygen concentrations in the patient's lungs displace **carbon monoxide** from the heme group of hemoglobin.", | |
| "concise_raw": "Carbon monoxide from hemoglobin.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.4213, | |
| "RoBERTa-FT_logit_sum": 19.069, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.1991, | |
| "DistilBERT-FT_logit_sum": 11.553, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.1178, | |
| "RoBERTa-OTS_logit_sum": 14.835, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.9402, | |
| "BERT-lg-OTS_logit_sum": 17.093 | |
| }, | |
| { | |
| "question": "Does the new deal include Video on demand and High Definition?", | |
| "gold": "no", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, the answer is **no, there is no indication that it does**.\n\nThe text explicitly states: \"Currently there is no indication as to whether the new deal includes the additional Video On Demand and High Definition content which had previously been offered by BSkyB.\"", | |
| "concise_raw": "No indication.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.125, | |
| "RoBERTa-FT_entropy": 2.6516, | |
| "RoBERTa-FT_logit_sum": 7.686, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 5.2644, | |
| "DistilBERT-FT_logit_sum": 3.237, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.333, | |
| "RoBERTa-OTS_entropy": 5.9218, | |
| "RoBERTa-OTS_logit_sum": 9.261, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 6.4689, | |
| "BERT-lg-OTS_logit_sum": 5.932 | |
| }, | |
| { | |
| "question": "In which year did Genghis Khan's grandson invade Kievan Rus'?", | |
| "gold": "1237", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Genghis Khan's grandson, Batu Khan, launched an invasion into Kievan Rus' in **1237**.", | |
| "concise_raw": "1237", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0105, | |
| "RoBERTa-FT_logit_sum": 20.388, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.262, | |
| "DistilBERT-FT_logit_sum": 10.841, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.7036, | |
| "RoBERTa-OTS_logit_sum": 14.837, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.2797, | |
| "BERT-lg-OTS_logit_sum": 16.547 | |
| }, | |
| { | |
| "question": "Where is the Hyde Park Day School located?", | |
| "gold": "the University of Chicago campus", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Hyde Park Day School is located on the University of Chicago campus.", | |
| "concise_raw": "University of Chicago campus", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.1387, | |
| "RoBERTa-FT_logit_sum": 15.94, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.0318, | |
| "DistilBERT-FT_logit_sum": 10.127, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.6031, | |
| "RoBERTa-OTS_logit_sum": 13.872, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.2095, | |
| "BERT-lg-OTS_logit_sum": 14.465 | |
| }, | |
| { | |
| "question": "What does the WG I Summary for Policymakers report say human activities are doing to greenhouse gases?", | |
| "gold": "substantially increasing the atmospheric concentrations", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided context, the WG I Summary for Policymakers report says that human activities are **substantially increasing the atmospheric concentrations of the greenhouse gases**.", | |
| "concise_raw": "Increasing atmospheric concentrations.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.4, | |
| "RoBERTa-FT_entropy": 0.1017, | |
| "RoBERTa-FT_logit_sum": 16.31, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.727, | |
| "DistilBERT-FT_entropy": 1.5646, | |
| "DistilBERT-FT_logit_sum": 7.678, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.857, | |
| "RoBERTa-OTS_entropy": 3.0266, | |
| "RoBERTa-OTS_logit_sum": 12.35, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.684, | |
| "BERT-lg-OTS_logit_sum": 14.074 | |
| }, | |
| { | |
| "question": "For how many years was evidence shown that humans shaped the the Amazon?", | |
| "gold": "11,000 years", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the evidence shown by the BBC's Unnatural Histories indicates that humans shaped the Amazon for at least **11,000 years**.", | |
| "concise_raw": "11,000 years", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.6563, | |
| "RoBERTa-FT_logit_sum": 17.767, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.4, | |
| "DistilBERT-FT_entropy": 3.3571, | |
| "DistilBERT-FT_logit_sum": 5.772, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 3.0544, | |
| "RoBERTa-OTS_logit_sum": 12.857, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.4, | |
| "BERT-lg-OTS_entropy": 2.6385, | |
| "BERT-lg-OTS_logit_sum": 13.331 | |
| }, | |
| { | |
| "question": "Who lost to the Broncos in the divisional round?", | |
| "gold": "Pittsburgh Steelers", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The Pittsburgh Steelers lost to the Broncos in the divisional round.", | |
| "concise_raw": "Pittsburgh Steelers", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.5702, | |
| "RoBERTa-FT_logit_sum": 12.398, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6979, | |
| "DistilBERT-FT_logit_sum": 10.946, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.1375, | |
| "RoBERTa-OTS_logit_sum": 13.476, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.1108, | |
| "BERT-lg-OTS_logit_sum": 15.932 | |
| }, | |
| { | |
| "question": "Who was hired to be the deputy director of the Office of Manned Space Flight?", | |
| "gold": "Joseph Shea", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the person hired to be the deputy director of the Office of Manned Space Flight was **Joseph Shea**.", | |
| "concise_raw": "Joseph Shea", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0053, | |
| "RoBERTa-FT_logit_sum": 15.696, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.6391, | |
| "DistilBERT-FT_logit_sum": 14.477, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.2922, | |
| "RoBERTa-OTS_logit_sum": 12.509, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.4522, | |
| "BERT-lg-OTS_logit_sum": 15.434 | |
| }, | |
| { | |
| "question": "What register did Chris Keates think that some teachers should not be placed on?", | |
| "gold": "the sex offenders register", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Chris Keates thought that some teachers should not be placed on the **sex offenders register**.", | |
| "concise_raw": "sex offenders register", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.133, | |
| "RoBERTa-FT_logit_sum": 19.764, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.4182, | |
| "DistilBERT-FT_logit_sum": 8.036, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.5002, | |
| "RoBERTa-OTS_logit_sum": 15.347, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.5459, | |
| "BERT-lg-OTS_logit_sum": 14.537 | |
| }, | |
| { | |
| "question": "What did Luther say would allow the Jews to stay?", | |
| "gold": "that they convert", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Luther said the Jews could stay if they \"desisted from their calumny and their usury and became Christians.\"", | |
| "concise_raw": "Conversion to Christianity.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 1.4231, | |
| "RoBERTa-FT_logit_sum": 9.722, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 3.2736, | |
| "DistilBERT-FT_logit_sum": 3.0, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.133, | |
| "RoBERTa-OTS_entropy": 3.6548, | |
| "RoBERTa-OTS_logit_sum": 12.176, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.133, | |
| "BERT-lg-OTS_entropy": 3.1785, | |
| "BERT-lg-OTS_logit_sum": 11.536 | |
| }, | |
| { | |
| "question": "What medical treatment is used to increase oxygen uptake in a patient?", | |
| "gold": "oxygen supplementation", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the medical treatment used to increase oxygen uptake in a patient is **oxygen supplementation** (or oxygen therapy).", | |
| "concise_raw": "Oxygen therapy", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 1.7494, | |
| "RoBERTa-FT_logit_sum": 10.738, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.5754, | |
| "DistilBERT-FT_logit_sum": 10.186, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.5652, | |
| "RoBERTa-OTS_logit_sum": 10.603, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 3.0042, | |
| "BERT-lg-OTS_logit_sum": 15.594 | |
| }, | |
| { | |
| "question": "Where was the 1857 riot?", | |
| "gold": "Buckland Valley", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the 1857 riot was at **Buckland Valley near Bright**.", | |
| "concise_raw": "Buckland Valley", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.0719, | |
| "RoBERTa-FT_logit_sum": 16.532, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 2.0059, | |
| "DistilBERT-FT_logit_sum": 10.845, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 2.9037, | |
| "RoBERTa-OTS_logit_sum": 11.936, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 2.0203, | |
| "BERT-lg-OTS_logit_sum": 12.29 | |
| }, | |
| { | |
| "question": "Who was the first quarterback to take two teams to more than one Super Bowl?", | |
| "gold": "Peyton Manning", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the answer is **Peyton Manning**.", | |
| "concise_raw": "Peyton Manning", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0447, | |
| "RoBERTa-FT_logit_sum": 13.191, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.1074, | |
| "DistilBERT-FT_logit_sum": 13.971, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.697, | |
| "RoBERTa-OTS_logit_sum": 6.057, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.0693, | |
| "BERT-lg-OTS_logit_sum": 12.825 | |
| }, | |
| { | |
| "question": "How did Chinese medicine spread?", | |
| "gold": "Chinese physicians were brought along military campaigns by the Mongols", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Chinese medicine spread through the Mongols bringing Chinese physicians along on their military campaigns as they expanded westward.", | |
| "concise_raw": "Through Mongol military campaigns and westward transmission.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.182, | |
| "RoBERTa-FT_entropy": 0.843, | |
| "RoBERTa-FT_logit_sum": 7.995, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.2, | |
| "DistilBERT-FT_entropy": 2.9614, | |
| "DistilBERT-FT_logit_sum": 5.822, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.182, | |
| "RoBERTa-OTS_entropy": 1.2125, | |
| "RoBERTa-OTS_logit_sum": 13.395, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.182, | |
| "BERT-lg-OTS_entropy": 3.3624, | |
| "BERT-lg-OTS_logit_sum": 10.198 | |
| }, | |
| { | |
| "question": "What computational problem is commonly associated with prime factorization?", | |
| "gold": "The integer factorization problem", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The computational problem commonly associated with prime factorization is the **integer factorization problem**, which asks for the prime factors of a given integer. In decision form, it is the problem of determining whether the input has a factor less than a given bound \\( k \\).", | |
| "concise_raw": "Integer factorization problem", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0866, | |
| "RoBERTa-FT_logit_sum": 12.802, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 4.3246, | |
| "DistilBERT-FT_logit_sum": 7.405, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.4504, | |
| "RoBERTa-OTS_logit_sum": 11.614, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.9737, | |
| "BERT-lg-OTS_logit_sum": 15.446 | |
| }, | |
| { | |
| "question": "The point at which different radiometric isotopes stop diffusing into and out of the crystal lattice is called what?", | |
| "gold": "particular closure temperature", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The point at which different radiometric isotopes stop diffusing into and out of the crystal lattice is called the **closure temperature**.", | |
| "concise_raw": "closure temperature", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.8, | |
| "RoBERTa-FT_entropy": 0.0714, | |
| "RoBERTa-FT_logit_sum": 18.122, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.8, | |
| "DistilBERT-FT_entropy": 2.1373, | |
| "DistilBERT-FT_logit_sum": 7.616, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.8, | |
| "RoBERTa-OTS_entropy": 2.4116, | |
| "RoBERTa-OTS_logit_sum": 13.646, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.8, | |
| "BERT-lg-OTS_entropy": 2.8269, | |
| "BERT-lg-OTS_logit_sum": 16.701 | |
| }, | |
| { | |
| "question": "What is a trait of sequential hermaphrodites?", | |
| "gold": "the eggs and sperm mature at different times", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, a trait of sequential hermaphrodites is that **their eggs and sperm mature at different times**.", | |
| "concise_raw": "Eggs and sperm mature at different times.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.933, | |
| "RoBERTa-FT_entropy": 2.3695, | |
| "RoBERTa-FT_logit_sum": 6.891, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.933, | |
| "DistilBERT-FT_entropy": 3.0994, | |
| "DistilBERT-FT_logit_sum": 5.236, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.933, | |
| "RoBERTa-OTS_entropy": 2.9027, | |
| "RoBERTa-OTS_logit_sum": 11.896, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.933, | |
| "BERT-lg-OTS_entropy": 2.3497, | |
| "BERT-lg-OTS_logit_sum": 13.725 | |
| }, | |
| { | |
| "question": "What lab does the university have a joint stake in? ", | |
| "gold": "Fermilab", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The university has a joint stake in Fermilab, a nearby particle physics laboratory.", | |
| "concise_raw": "Fermilab", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0113, | |
| "RoBERTa-FT_logit_sum": 18.172, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.9198, | |
| "DistilBERT-FT_logit_sum": 13.646, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.5095, | |
| "RoBERTa-OTS_logit_sum": 10.849, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.0625, | |
| "BERT-lg-OTS_logit_sum": 16.123 | |
| }, | |
| { | |
| "question": "What can be used to model tension forces?", | |
| "gold": "ideal strings", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the answer is:\n\n**Ideal strings** (that are massless, frictionless, unbreakable, and unstretchable).", | |
| "concise_raw": "Ideal strings and pulleys.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.4324, | |
| "RoBERTa-FT_logit_sum": 14.855, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6011, | |
| "DistilBERT-FT_logit_sum": 14.501, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 1.917, | |
| "RoBERTa-OTS_logit_sum": 7.783, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.9127, | |
| "BERT-lg-OTS_logit_sum": 9.552 | |
| }, | |
| { | |
| "question": "Civil Disobedience is mainly performed by what population group?", | |
| "gold": "private citizen", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, civil disobedience is defined as pertaining to a **citizen's** relation to the state and its laws. Therefore, the population group that mainly performs civil disobedience is **private citizens**, as opposed to public officials acting in their official capacity.", | |
| "concise_raw": "Private citizens", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.5, | |
| "RoBERTa-FT_entropy": 0.3836, | |
| "RoBERTa-FT_logit_sum": 13.391, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.5, | |
| "DistilBERT-FT_entropy": 2.5301, | |
| "DistilBERT-FT_logit_sum": 10.84, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.5, | |
| "RoBERTa-OTS_entropy": 1.6412, | |
| "RoBERTa-OTS_logit_sum": 14.695, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.5, | |
| "BERT-lg-OTS_entropy": 1.2916, | |
| "BERT-lg-OTS_logit_sum": 17.216 | |
| }, | |
| { | |
| "question": "Who was the executive producer of the 2005 Doctor Who revival series?", | |
| "gold": "Russell T Davies", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Russell T Davies", | |
| "concise_raw": "Russell T Davies", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 1, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0023, | |
| "RoBERTa-FT_logit_sum": 19.414, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.0251, | |
| "DistilBERT-FT_logit_sum": 15.661, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.0299, | |
| "RoBERTa-OTS_logit_sum": 7.671, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.0585, | |
| "BERT-lg-OTS_logit_sum": 12.652 | |
| }, | |
| { | |
| "question": "An MSP may introduce a bill as what?", | |
| "gold": "a private member", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, an MSP may introduce a bill as a **private member**.", | |
| "concise_raw": "a private member", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.3551, | |
| "RoBERTa-FT_logit_sum": 16.033, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6855, | |
| "DistilBERT-FT_logit_sum": 13.292, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.4746, | |
| "RoBERTa-OTS_logit_sum": 11.493, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.9812, | |
| "BERT-lg-OTS_logit_sum": 14.936 | |
| }, | |
| { | |
| "question": "How much more land does the school own in Allston than Cambridge?", | |
| "gold": "approximately fifty percent", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Harvard owns approximately **fifty percent more** land in Allston than in Cambridge.", | |
| "concise_raw": "Fifty percent more.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.8, | |
| "RoBERTa-FT_entropy": 1.0101, | |
| "RoBERTa-FT_logit_sum": 12.07, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.333, | |
| "DistilBERT-FT_entropy": 2.8815, | |
| "DistilBERT-FT_logit_sum": 8.684, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.8, | |
| "RoBERTa-OTS_entropy": 2.8235, | |
| "RoBERTa-OTS_logit_sum": 8.948, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.8, | |
| "BERT-lg-OTS_entropy": 1.9659, | |
| "BERT-lg-OTS_logit_sum": 12.303 | |
| }, | |
| { | |
| "question": "What did the non-Afghan veterans returning home have in addition to their prestige?", | |
| "gold": "considerable impact", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the non-Afghan veterans returning home had \"experience, ideology, and weapons\" in addition to their prestige.", | |
| "concise_raw": "experience, ideology, and weapons", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 0.933, | |
| "RoBERTa-FT_logit_sum": 14.367, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 5.4008, | |
| "DistilBERT-FT_logit_sum": 0.007, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 1.6594, | |
| "RoBERTa-OTS_logit_sum": 12.127, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 1.7941, | |
| "BERT-lg-OTS_logit_sum": 14.919 | |
| }, | |
| { | |
| "question": "In what year did the Amazon experience a drought that may have been more extreme than in 2005?", | |
| "gold": "2010", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Amazon experienced a drought in **2010** that may have been more extreme than in 2005.", | |
| "concise_raw": "2010", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.001, | |
| "RoBERTa-FT_logit_sum": 16.411, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.3758, | |
| "DistilBERT-FT_logit_sum": 10.345, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.4484, | |
| "RoBERTa-OTS_logit_sum": 12.374, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.3448, | |
| "BERT-lg-OTS_logit_sum": 17.175 | |
| }, | |
| { | |
| "question": "What month and year was Apollo 13 launched?", | |
| "gold": "April 1970", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Apollo 13 was launched in **April 1970**.", | |
| "concise_raw": "April 1970", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0157, | |
| "RoBERTa-FT_logit_sum": 19.65, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.1068, | |
| "DistilBERT-FT_logit_sum": 10.941, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.0412, | |
| "RoBERTa-OTS_logit_sum": 13.486, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.7104, | |
| "BERT-lg-OTS_logit_sum": 14.005 | |
| }, | |
| { | |
| "question": "Why did Warsaw become the capital of the Commonwealth?", | |
| "gold": "Due to its central location", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Warsaw became the capital of the Commonwealth due to its central location between the existing capitals of Krak\u00f3w and Vilnius, which made it a more convenient seat for the royal court and the General Sejm. This move was formalized when King Sigismund III Vasa relocated his court from Krak\u00f3w to Warsaw in 1596.", | |
| "concise_raw": "Due to its central location between Krak\u00f3w and Vilnius.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 2.6954, | |
| "RoBERTa-FT_logit_sum": 8.852, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 6.1901, | |
| "DistilBERT-FT_logit_sum": 4.328, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.222, | |
| "RoBERTa-OTS_entropy": 4.8252, | |
| "RoBERTa-OTS_logit_sum": 10.641, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.4, | |
| "BERT-lg-OTS_entropy": 4.0783, | |
| "BERT-lg-OTS_logit_sum": 12.906 | |
| }, | |
| { | |
| "question": "How many Muslims came from around the world to fight in Afghanistan?", | |
| "gold": "16,000 to 35,000", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, an estimated 16,000 to 35,000 Muslim volunteers came from around the world to fight in Afghanistan.", | |
| "concise_raw": "16,000 to 35,000.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0054, | |
| "RoBERTa-FT_logit_sum": 17.929, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.111, | |
| "DistilBERT-FT_entropy": 2.6616, | |
| "DistilBERT-FT_logit_sum": 6.342, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.1039, | |
| "RoBERTa-OTS_logit_sum": 10.625, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.25, | |
| "BERT-lg-OTS_entropy": 1.4263, | |
| "BERT-lg-OTS_logit_sum": 13.745 | |
| }, | |
| { | |
| "question": "What was the purpose of Loudoun's troops at Fort Henry?", | |
| "gold": "to distract Montcalm", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the purpose of Loudoun's troops at Fort William Henry was to distract Montcalm.", | |
| "concise_raw": "To distract Montcalm.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.5, | |
| "RoBERTa-FT_entropy": 0.3386, | |
| "RoBERTa-FT_logit_sum": 14.868, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.5, | |
| "DistilBERT-FT_entropy": 1.5916, | |
| "DistilBERT-FT_logit_sum": 7.342, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.6418, | |
| "RoBERTa-OTS_logit_sum": 10.823, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.5676, | |
| "BERT-lg-OTS_logit_sum": 16.076 | |
| }, | |
| { | |
| "question": "What team did the Panthers defeat?", | |
| "gold": "Arizona Cardinals", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Panthers defeated the Arizona Cardinals 49\u201315 in the NFC Championship Game.", | |
| "concise_raw": "Arizona Cardinals", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.018, | |
| "RoBERTa-FT_logit_sum": 14.846, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6632, | |
| "DistilBERT-FT_logit_sum": 11.009, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.926, | |
| "RoBERTa-OTS_logit_sum": 13.06, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.5895, | |
| "BERT-lg-OTS_logit_sum": 14.801 | |
| }, | |
| { | |
| "question": "Who was appointed as second in command to Lor Loudoun in 1756?", | |
| "gold": "Major General James Abercrombie", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Major General James Abercrombie was appointed as second in command to Lord Loudoun in 1756.", | |
| "concise_raw": "Major General James Abercrombie", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.6989, | |
| "RoBERTa-FT_logit_sum": 19.518, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 3.006, | |
| "DistilBERT-FT_logit_sum": 6.391, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 1.9351, | |
| "RoBERTa-OTS_logit_sum": 9.438, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.0577, | |
| "BERT-lg-OTS_logit_sum": 17.939 | |
| }, | |
| { | |
| "question": "Where did the family move in 1862?", | |
| "gold": "Gospi\u0107, Austrian Empire", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The family moved to Gospi\u0107, Austrian Empire.", | |
| "concise_raw": "Gospi\u0107, Austrian Empire", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.5, | |
| "RoBERTa-FT_entropy": 0.4735, | |
| "RoBERTa-FT_logit_sum": 13.82, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 1.9597, | |
| "DistilBERT-FT_logit_sum": 9.662, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 0.3547, | |
| "RoBERTa-OTS_logit_sum": 8.226, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 1.266, | |
| "BERT-lg-OTS_logit_sum": 9.559 | |
| }, | |
| { | |
| "question": "Who build the major port city in Kenya?", | |
| "gold": "The Swahili", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the major port city in Kenya is Mombasa, and it was built by **the Swahili**.", | |
| "concise_raw": "The Swahili.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 1.7919, | |
| "RoBERTa-FT_logit_sum": 6.226, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.25, | |
| "DistilBERT-FT_entropy": 1.9636, | |
| "DistilBERT-FT_logit_sum": 12.948, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 3.1109, | |
| "RoBERTa-OTS_logit_sum": 8.822, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 3.1283, | |
| "BERT-lg-OTS_logit_sum": 13.195 | |
| }, | |
| { | |
| "question": "What type of defense is sometimes used in court by protestors?", | |
| "gold": "competing harms defense", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the type of defense sometimes used in court by protestors is the **necessity defense** (also referred to in the text as a \"competing harms defense\" or \"political necessity defense\").", | |
| "concise_raw": "Necessity defense", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.4, | |
| "RoBERTa-FT_entropy": 0.1294, | |
| "RoBERTa-FT_logit_sum": 15.202, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.4, | |
| "DistilBERT-FT_entropy": 1.7904, | |
| "DistilBERT-FT_logit_sum": 13.635, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.4, | |
| "RoBERTa-OTS_entropy": 2.7979, | |
| "RoBERTa-OTS_logit_sum": 12.385, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.4, | |
| "BERT-lg-OTS_entropy": 2.9384, | |
| "BERT-lg-OTS_logit_sum": 14.864 | |
| }, | |
| { | |
| "question": "When was Warsaw ranked as the 32nd most liveable city in the world?", | |
| "gold": "2012", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Warsaw was ranked as the 32nd most liveable city in the world in 2012.", | |
| "concise_raw": "2012", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0024, | |
| "RoBERTa-FT_logit_sum": 16.491, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 3.2743, | |
| "DistilBERT-FT_logit_sum": 3.14, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.1934, | |
| "RoBERTa-OTS_logit_sum": 13.767, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.2269, | |
| "BERT-lg-OTS_logit_sum": 15.678 | |
| }, | |
| { | |
| "question": "What was redesigned during the Apollo program being grounded during 1970?", | |
| "gold": "oxygen tank", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the **oxygen tank** was redesigned during the Apollo program being grounded in 1970. An extra one was also added.", | |
| "concise_raw": "The oxygen tank.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 1.1026, | |
| "RoBERTa-FT_logit_sum": 16.665, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.3574, | |
| "DistilBERT-FT_logit_sum": 14.62, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.337, | |
| "RoBERTa-OTS_logit_sum": 14.096, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.7466, | |
| "BERT-lg-OTS_logit_sum": 16.719 | |
| }, | |
| { | |
| "question": "Where is the ABC four-note jingle still in use?", | |
| "gold": "ABC on Demand to the beginning of the ABC show", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, the ABC four-note jingle is still in use **on ABC on Demand** at the beginning of ABC shows.", | |
| "concise_raw": "ABC on Demand", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.545, | |
| "RoBERTa-FT_entropy": 0.2631, | |
| "RoBERTa-FT_logit_sum": 16.264, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.5, | |
| "DistilBERT-FT_entropy": 2.3918, | |
| "DistilBERT-FT_logit_sum": 6.573, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.545, | |
| "RoBERTa-OTS_entropy": 3.3818, | |
| "RoBERTa-OTS_logit_sum": 10.663, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.75, | |
| "BERT-lg-OTS_entropy": 3.026, | |
| "BERT-lg-OTS_logit_sum": 12.585 | |
| }, | |
| { | |
| "question": "What was Isiah Bowman nick name, as known by the public.", | |
| "gold": "Wilson's geographer", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided text, Isiah Bowman was known as \"Wilson's geographer.\"", | |
| "concise_raw": "Wilson's geographer", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.1747, | |
| "RoBERTa-FT_logit_sum": 17.835, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.4, | |
| "DistilBERT-FT_entropy": 2.1253, | |
| "DistilBERT-FT_logit_sum": 7.438, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.6597, | |
| "RoBERTa-OTS_logit_sum": 12.317, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.4, | |
| "BERT-lg-OTS_entropy": 2.1064, | |
| "BERT-lg-OTS_logit_sum": 12.658 | |
| }, | |
| { | |
| "question": "Which Super Bowl halftime show did Beyonc\u00e9 headline?", | |
| "gold": "Super Bowl XLVII", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Beyonc\u00e9 headlined the Super Bowl XLVII halftime show.", | |
| "concise_raw": "Super Bowl XLVII", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 2.0582, | |
| "RoBERTa-FT_logit_sum": 0.261, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.75, | |
| "DistilBERT-FT_entropy": 3.668, | |
| "DistilBERT-FT_logit_sum": 3.162, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.1063, | |
| "RoBERTa-OTS_logit_sum": 14.931, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.2359, | |
| "BERT-lg-OTS_logit_sum": 15.591 | |
| }, | |
| { | |
| "question": "In 1735, who did John and Charles Wesley teach the gospel to in America?", | |
| "gold": "American Indians", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, the answer is:\n\n**American Indians in the colony of Georgia.**", | |
| "concise_raw": "American Indians", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.1085, | |
| "RoBERTa-FT_logit_sum": 12.048, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 2.2943, | |
| "DistilBERT-FT_logit_sum": 9.955, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 0.9782, | |
| "RoBERTa-OTS_logit_sum": 7.439, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.8943, | |
| "BERT-lg-OTS_logit_sum": 8.365 | |
| }, | |
| { | |
| "question": "What had the number of people living in Warsaw declined to by 1945?", | |
| "gold": "420,000", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the number of people living in Warsaw had declined to **420,000** by 1945.", | |
| "concise_raw": "420,000", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0042, | |
| "RoBERTa-FT_logit_sum": 19.915, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 0.8408, | |
| "DistilBERT-FT_logit_sum": 14.002, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.774, | |
| "RoBERTa-OTS_logit_sum": 15.363, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 1.8611, | |
| "BERT-lg-OTS_logit_sum": 14.321 | |
| }, | |
| { | |
| "question": "What position did Mark Woods take on at the new American Broadcasting Company?", | |
| "gold": "president and CEO", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, Mark Woods retained his position as president and CEO of ABC until December 1949, and was subsequently promoted to vice-chairman of the board.", | |
| "concise_raw": "President and CEO", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 1.4687, | |
| "RoBERTa-FT_logit_sum": 4.822, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 5.3508, | |
| "DistilBERT-FT_logit_sum": 2.475, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.7089, | |
| "RoBERTa-OTS_logit_sum": 11.284, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.7852, | |
| "BERT-lg-OTS_logit_sum": 10.192 | |
| }, | |
| { | |
| "question": "What country did the Rhine continue to rise during the holocene?", | |
| "gold": "Netherlands", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Rhine continued to rise in the **Netherlands**.", | |
| "concise_raw": "Netherlands", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.2299, | |
| "RoBERTa-FT_logit_sum": 18.269, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.2791, | |
| "DistilBERT-FT_logit_sum": 11.692, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.795, | |
| "RoBERTa-OTS_logit_sum": 7.946, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.6205, | |
| "BERT-lg-OTS_logit_sum": 12.231 | |
| }, | |
| { | |
| "question": "How many soldiers did Genghis Khan take with him to Khwarezmia?", | |
| "gold": "100,000", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Genghis Khan organized around 100,000 soldiers for the invasion of Khwarezmia.\n\n**Answer:** 100,000 soldiers", | |
| "concise_raw": "100,000 soldiers.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.1285, | |
| "RoBERTa-FT_logit_sum": 18.213, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 0.6317, | |
| "DistilBERT-FT_logit_sum": 10.704, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.9335, | |
| "RoBERTa-OTS_logit_sum": 7.31, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 1.9239, | |
| "BERT-lg-OTS_logit_sum": 14.6 | |
| }, | |
| { | |
| "question": "Why does unemployment harm growth?", | |
| "gold": "because it is a waste of resources", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided text, unemployment harms growth for several reasons:\n\n1. It is a waste of resources.\n2. It generates redistributive pressures and subsequent distortions.\n3. It drives people to poverty.\n4. It constrains liquidity, limiting labor mobility.\n5. It erodes self-esteem, promoting social dislocation, unrest, and conflict.", | |
| "concise_raw": "It wastes resources and increases inequality.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 3.7451, | |
| "RoBERTa-FT_logit_sum": 5.243, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.233, | |
| "DistilBERT-FT_entropy": 4.3355, | |
| "DistilBERT-FT_logit_sum": 6.43, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.909, | |
| "RoBERTa-OTS_entropy": 2.6071, | |
| "RoBERTa-OTS_logit_sum": 9.631, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.909, | |
| "BERT-lg-OTS_entropy": 2.5534, | |
| "BERT-lg-OTS_logit_sum": 13.903 | |
| }, | |
| { | |
| "question": "Who was the War of Currents waged between? ", | |
| "gold": "Thomas Edison and George Westinghouse", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the War of Currents was waged between **Thomas Edison and George Westinghouse**.", | |
| "concise_raw": "Thomas Edison and George Westinghouse", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.1534, | |
| "RoBERTa-FT_logit_sum": 16.788, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.2669, | |
| "DistilBERT-FT_logit_sum": 13.128, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.7746, | |
| "RoBERTa-OTS_logit_sum": 14.359, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.702, | |
| "BERT-lg-OTS_logit_sum": 16.439 | |
| }, | |
| { | |
| "question": "What was the English name of Gou's calendar?", | |
| "gold": "Calendar for Fixing the Seasons", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the English name of Gou's calendar was the **Calendar for Fixing the Seasons**.", | |
| "concise_raw": "Calendar for Fixing the Seasons", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0348, | |
| "RoBERTa-FT_logit_sum": 18.714, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 3.369, | |
| "DistilBERT-FT_logit_sum": 3.223, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.1446, | |
| "RoBERTa-OTS_logit_sum": 13.843, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.4241, | |
| "BERT-lg-OTS_logit_sum": 11.563 | |
| }, | |
| { | |
| "question": "What term is used to explain a change in the appearance of Doctor Who?", | |
| "gold": "regeneration", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, the term used to explain a change in the appearance of Doctor Who is **regeneration**.", | |
| "concise_raw": "Regeneration", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0029, | |
| "RoBERTa-FT_logit_sum": 20.45, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4815, | |
| "DistilBERT-FT_logit_sum": 11.847, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.61, | |
| "RoBERTa-OTS_logit_sum": 14.491, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.9886, | |
| "BERT-lg-OTS_logit_sum": 15.221 | |
| }, | |
| { | |
| "question": "Which NASA orbiter photographed evidence of each site on the moon that a manned Apollo mission landing occurred?", | |
| "gold": "Lunar Reconnaissance Orbiter", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the NASA orbiter that photographed evidence of each site where a manned Apollo flight landed was the **Lunar Reconnaissance Orbiter**.", | |
| "concise_raw": "Lunar Reconnaissance Orbiter", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0362, | |
| "RoBERTa-FT_logit_sum": 19.11, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.1162, | |
| "DistilBERT-FT_logit_sum": 8.808, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.9242, | |
| "RoBERTa-OTS_logit_sum": 16.312, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.9208, | |
| "BERT-lg-OTS_logit_sum": 16.534 | |
| }, | |
| { | |
| "question": "How long was the Summer Theatre in operation?", | |
| "gold": "1870 to 1939", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Summer Theatre was in operation from 1870 to 1939.\n\nTo calculate the duration: 1939 - 1870 = 69 years.\n\nTherefore, the Summer Theatre was in operation for **69 years**.", | |
| "concise_raw": "69 years", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 1.3722, | |
| "RoBERTa-FT_logit_sum": 6.662, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 4.6181, | |
| "DistilBERT-FT_logit_sum": 5.178, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 4.2897, | |
| "RoBERTa-OTS_logit_sum": 8.618, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.8126, | |
| "BERT-lg-OTS_logit_sum": 10.199 | |
| }, | |
| { | |
| "question": "What does increased oxygen concentrations in the patient's lungs displace?", | |
| "gold": "carbon monoxide", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Increased oxygen concentrations in the patient's lungs displace **carbon monoxide** from the heme group of hemoglobin.", | |
| "concise_raw": "Carbon monoxide from hemoglobin.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.4213, | |
| "RoBERTa-FT_logit_sum": 19.069, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.1991, | |
| "DistilBERT-FT_logit_sum": 11.553, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.1178, | |
| "RoBERTa-OTS_logit_sum": 14.835, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.9402, | |
| "BERT-lg-OTS_logit_sum": 17.093 | |
| }, | |
| { | |
| "question": "Does the new deal include Video on demand and High Definition?", | |
| "gold": "no", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, the answer is **no**. The passage states: \"Currently there is no indication as to whether the new deal includes the additional Video On Demand and High Definition content which had previously been offered by BSkyB.\"", | |
| "concise_raw": "No indication.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 1.3952, | |
| "RoBERTa-FT_logit_sum": 13.64, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.5851, | |
| "DistilBERT-FT_logit_sum": 10.773, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.333, | |
| "RoBERTa-OTS_entropy": 5.3745, | |
| "RoBERTa-OTS_logit_sum": 9.906, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 5.9731, | |
| "BERT-lg-OTS_logit_sum": 5.726 | |
| }, | |
| { | |
| "question": "In which year did Genghis Khan's grandson invade Kievan Rus'?", | |
| "gold": "1237", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Genghis Khan's grandson, Batu Khan, launched an invasion into Kievan Rus' in **1237**.", | |
| "concise_raw": "1237", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0105, | |
| "RoBERTa-FT_logit_sum": 20.388, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.262, | |
| "DistilBERT-FT_logit_sum": 10.841, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.7036, | |
| "RoBERTa-OTS_logit_sum": 14.837, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.2797, | |
| "BERT-lg-OTS_logit_sum": 16.547 | |
| }, | |
| { | |
| "question": "Where is the Hyde Park Day School located?", | |
| "gold": "the University of Chicago campus", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Hyde Park Day School is located on the University of Chicago campus.", | |
| "concise_raw": "University of Chicago campus", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.1387, | |
| "RoBERTa-FT_logit_sum": 15.94, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.0318, | |
| "DistilBERT-FT_logit_sum": 10.127, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.6031, | |
| "RoBERTa-OTS_logit_sum": 13.872, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.2095, | |
| "BERT-lg-OTS_logit_sum": 14.465 | |
| }, | |
| { | |
| "question": "What does the WG I Summary for Policymakers report say human activities are doing to greenhouse gases?", | |
| "gold": "substantially increasing the atmospheric concentrations", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided text, the WG I Summary for Policymakers report says that human activities are **substantially increasing the atmospheric concentrations of the greenhouse gases**.", | |
| "concise_raw": "Increasing atmospheric concentrations.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.4, | |
| "RoBERTa-FT_entropy": 0.1176, | |
| "RoBERTa-FT_logit_sum": 16.339, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.727, | |
| "DistilBERT-FT_entropy": 1.5972, | |
| "DistilBERT-FT_logit_sum": 7.693, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.857, | |
| "RoBERTa-OTS_entropy": 3.0298, | |
| "RoBERTa-OTS_logit_sum": 12.419, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.6797, | |
| "BERT-lg-OTS_logit_sum": 13.995 | |
| }, | |
| { | |
| "question": "For how many years was evidence shown that humans shaped the the Amazon?", | |
| "gold": "11,000 years", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the BBC's Unnatural Histories presented evidence that the Amazon rainforest has been shaped by man for at least **11,000 years**.", | |
| "concise_raw": "11,000 years", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.2998, | |
| "RoBERTa-FT_logit_sum": 18.688, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.4, | |
| "DistilBERT-FT_entropy": 3.8937, | |
| "DistilBERT-FT_logit_sum": 6.436, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 2.9427, | |
| "RoBERTa-OTS_logit_sum": 14.134, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.4, | |
| "BERT-lg-OTS_entropy": 2.4264, | |
| "BERT-lg-OTS_logit_sum": 13.519 | |
| }, | |
| { | |
| "question": "Who lost to the Broncos in the divisional round?", | |
| "gold": "Pittsburgh Steelers", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The Pittsburgh Steelers lost to the Broncos in the divisional round.", | |
| "concise_raw": "Pittsburgh Steelers", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.5702, | |
| "RoBERTa-FT_logit_sum": 12.398, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6979, | |
| "DistilBERT-FT_logit_sum": 10.946, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.1375, | |
| "RoBERTa-OTS_logit_sum": 13.476, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.1108, | |
| "BERT-lg-OTS_logit_sum": 15.932 | |
| }, | |
| { | |
| "question": "Who was hired to be the deputy director of the Office of Manned Space Flight?", | |
| "gold": "Joseph Shea", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the person hired to be the deputy director of the Office of Manned Space Flight was **Joseph Shea**.", | |
| "concise_raw": "Joseph Shea", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0053, | |
| "RoBERTa-FT_logit_sum": 15.696, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.6391, | |
| "DistilBERT-FT_logit_sum": 14.477, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.2922, | |
| "RoBERTa-OTS_logit_sum": 12.509, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.4522, | |
| "BERT-lg-OTS_logit_sum": 15.434 | |
| }, | |
| { | |
| "question": "What register did Chris Keates think that some teachers should not be placed on?", | |
| "gold": "the sex offenders register", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Chris Keates thought that some teachers should not be placed on the **sex offenders register**.", | |
| "concise_raw": "sex offenders register", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.133, | |
| "RoBERTa-FT_logit_sum": 19.764, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.4182, | |
| "DistilBERT-FT_logit_sum": 8.036, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.5002, | |
| "RoBERTa-OTS_logit_sum": 15.347, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.5459, | |
| "BERT-lg-OTS_logit_sum": 14.537 | |
| }, | |
| { | |
| "question": "What did Luther say would allow the Jews to stay?", | |
| "gold": "that they convert", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Luther said the Jews could stay if they \"desisted from their calumny and their usury and became Christians.\"", | |
| "concise_raw": "Conversion to Christianity.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 1.4231, | |
| "RoBERTa-FT_logit_sum": 9.722, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 3.2736, | |
| "DistilBERT-FT_logit_sum": 3.0, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.133, | |
| "RoBERTa-OTS_entropy": 3.6548, | |
| "RoBERTa-OTS_logit_sum": 12.176, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.133, | |
| "BERT-lg-OTS_entropy": 3.1785, | |
| "BERT-lg-OTS_logit_sum": 11.536 | |
| }, | |
| { | |
| "question": "What medical treatment is used to increase oxygen uptake in a patient?", | |
| "gold": "oxygen supplementation", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the medical treatment used to increase oxygen uptake in a patient is **oxygen supplementation** (or oxygen therapy).", | |
| "concise_raw": "Oxygen therapy", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 1.7494, | |
| "RoBERTa-FT_logit_sum": 10.738, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.5754, | |
| "DistilBERT-FT_logit_sum": 10.186, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.5652, | |
| "RoBERTa-OTS_logit_sum": 10.603, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 3.0042, | |
| "BERT-lg-OTS_logit_sum": 15.594 | |
| }, | |
| { | |
| "question": "Where was the 1857 riot?", | |
| "gold": "Buckland Valley", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the 1857 riot was at **Buckland Valley** near Bright.", | |
| "concise_raw": "Buckland Valley", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.8838, | |
| "RoBERTa-FT_logit_sum": 13.797, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.3525, | |
| "DistilBERT-FT_logit_sum": 13.426, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.9845, | |
| "RoBERTa-OTS_logit_sum": 11.372, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.6836, | |
| "BERT-lg-OTS_logit_sum": 12.455 | |
| }, | |
| { | |
| "question": "Who was the first quarterback to take two teams to more than one Super Bowl?", | |
| "gold": "Peyton Manning", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the answer is **Peyton Manning**.", | |
| "concise_raw": "Peyton Manning", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0447, | |
| "RoBERTa-FT_logit_sum": 13.191, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.1074, | |
| "DistilBERT-FT_logit_sum": 13.971, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.697, | |
| "RoBERTa-OTS_logit_sum": 6.057, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.0693, | |
| "BERT-lg-OTS_logit_sum": 12.825 | |
| }, | |
| { | |
| "question": "How did Chinese medicine spread?", | |
| "gold": "Chinese physicians were brought along military campaigns by the Mongols", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Chinese medicine spread through the Mongols bringing Chinese physicians along on their military campaigns as they expanded westward.", | |
| "concise_raw": "Through Mongol military campaigns and westward transmission.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.182, | |
| "RoBERTa-FT_entropy": 0.843, | |
| "RoBERTa-FT_logit_sum": 7.995, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.2, | |
| "DistilBERT-FT_entropy": 2.9614, | |
| "DistilBERT-FT_logit_sum": 5.822, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.182, | |
| "RoBERTa-OTS_entropy": 1.2125, | |
| "RoBERTa-OTS_logit_sum": 13.395, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.182, | |
| "BERT-lg-OTS_entropy": 3.3624, | |
| "BERT-lg-OTS_logit_sum": 10.198 | |
| }, | |
| { | |
| "question": "What computational problem is commonly associated with prime factorization?", | |
| "gold": "The integer factorization problem", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The computational problem commonly associated with prime factorization is the **integer factorization problem**, which asks for the prime factors of a given integer. In decision form, it is the problem of determining whether the input has a factor less than a given bound \\( k \\).", | |
| "concise_raw": "Integer factorization problem", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0866, | |
| "RoBERTa-FT_logit_sum": 12.802, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 4.3246, | |
| "DistilBERT-FT_logit_sum": 7.405, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.4504, | |
| "RoBERTa-OTS_logit_sum": 11.614, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.9737, | |
| "BERT-lg-OTS_logit_sum": 15.446 | |
| }, | |
| { | |
| "question": "The point at which different radiometric isotopes stop diffusing into and out of the crystal lattice is called what?", | |
| "gold": "particular closure temperature", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The point at which different radiometric isotopes stop diffusing into and out of the crystal lattice is called the **closure temperature**.", | |
| "concise_raw": "closure temperature", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.8, | |
| "RoBERTa-FT_entropy": 0.0714, | |
| "RoBERTa-FT_logit_sum": 18.122, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.8, | |
| "DistilBERT-FT_entropy": 2.1373, | |
| "DistilBERT-FT_logit_sum": 7.616, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.8, | |
| "RoBERTa-OTS_entropy": 2.4116, | |
| "RoBERTa-OTS_logit_sum": 13.646, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.8, | |
| "BERT-lg-OTS_entropy": 2.8269, | |
| "BERT-lg-OTS_logit_sum": 16.701 | |
| }, | |
| { | |
| "question": "What is a trait of sequential hermaphrodites?", | |
| "gold": "the eggs and sperm mature at different times", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided text, a trait of sequential hermaphrodites is that **their eggs and sperm mature at different times**.", | |
| "concise_raw": "Eggs and sperm mature at different times.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.933, | |
| "RoBERTa-FT_entropy": 2.6931, | |
| "RoBERTa-FT_logit_sum": 6.331, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.933, | |
| "DistilBERT-FT_entropy": 3.1885, | |
| "DistilBERT-FT_logit_sum": 5.077, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.933, | |
| "RoBERTa-OTS_entropy": 2.89, | |
| "RoBERTa-OTS_logit_sum": 12.114, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.933, | |
| "BERT-lg-OTS_entropy": 2.3241, | |
| "BERT-lg-OTS_logit_sum": 13.95 | |
| }, | |
| { | |
| "question": "What lab does the university have a joint stake in? ", | |
| "gold": "Fermilab", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The university has a joint stake in Fermilab, a nearby particle physics laboratory.", | |
| "concise_raw": "Fermilab", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0113, | |
| "RoBERTa-FT_logit_sum": 18.172, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.9198, | |
| "DistilBERT-FT_logit_sum": 13.646, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.5095, | |
| "RoBERTa-OTS_logit_sum": 10.849, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.0625, | |
| "BERT-lg-OTS_logit_sum": 16.123 | |
| }, | |
| { | |
| "question": "What can be used to model tension forces?", | |
| "gold": "ideal strings", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the answer is:\n\n**Ideal strings**", | |
| "concise_raw": "Ideal strings and pulleys.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.5081, | |
| "RoBERTa-FT_logit_sum": 13.375, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.3597, | |
| "DistilBERT-FT_logit_sum": 14.359, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 1.6653, | |
| "RoBERTa-OTS_logit_sum": 7.071, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.7611, | |
| "BERT-lg-OTS_logit_sum": 9.8 | |
| }, | |
| { | |
| "question": "Civil Disobedience is mainly performed by what population group?", | |
| "gold": "private citizen", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, civil disobedience is defined as pertaining to a **citizen's** relation to the state and its laws. Therefore, the population group that mainly performs civil disobedience is **private citizens**, as opposed to public officials acting in their official capacity.", | |
| "concise_raw": "Private citizens", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.5, | |
| "RoBERTa-FT_entropy": 0.3836, | |
| "RoBERTa-FT_logit_sum": 13.391, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.5, | |
| "DistilBERT-FT_entropy": 2.5301, | |
| "DistilBERT-FT_logit_sum": 10.84, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.5, | |
| "RoBERTa-OTS_entropy": 1.6412, | |
| "RoBERTa-OTS_logit_sum": 14.695, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.5, | |
| "BERT-lg-OTS_entropy": 1.2916, | |
| "BERT-lg-OTS_logit_sum": 17.216 | |
| }, | |
| { | |
| "question": "Who was the executive producer of the 2005 Doctor Who revival series?", | |
| "gold": "Russell T Davies", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Russell T Davies", | |
| "concise_raw": "Russell T Davies", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 1, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0023, | |
| "RoBERTa-FT_logit_sum": 19.414, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.0251, | |
| "DistilBERT-FT_logit_sum": 15.661, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.0299, | |
| "RoBERTa-OTS_logit_sum": 7.671, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.0585, | |
| "BERT-lg-OTS_logit_sum": 12.652 | |
| }, | |
| { | |
| "question": "An MSP may introduce a bill as what?", | |
| "gold": "a private member", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, an MSP may introduce a bill as a **private member**.", | |
| "concise_raw": "a private member", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.3551, | |
| "RoBERTa-FT_logit_sum": 16.033, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6855, | |
| "DistilBERT-FT_logit_sum": 13.292, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.4746, | |
| "RoBERTa-OTS_logit_sum": 11.493, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.9812, | |
| "BERT-lg-OTS_logit_sum": 14.936 | |
| }, | |
| { | |
| "question": "How much more land does the school own in Allston than Cambridge?", | |
| "gold": "approximately fifty percent", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the school owns approximately fifty percent more land in Allston than in Cambridge.", | |
| "concise_raw": "Fifty percent more.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.8, | |
| "RoBERTa-FT_entropy": 0.8746, | |
| "RoBERTa-FT_logit_sum": 10.73, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.462, | |
| "DistilBERT-FT_entropy": 1.4743, | |
| "DistilBERT-FT_logit_sum": 8.371, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.8, | |
| "RoBERTa-OTS_entropy": 1.5882, | |
| "RoBERTa-OTS_logit_sum": 11.167, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.8, | |
| "BERT-lg-OTS_entropy": 2.1199, | |
| "BERT-lg-OTS_logit_sum": 13.061 | |
| }, | |
| { | |
| "question": "What did the non-Afghan veterans returning home have in addition to their prestige?", | |
| "gold": "considerable impact", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the non-Afghan veterans returning home had \"experience, ideology, and weapons\" in addition to their prestige.", | |
| "concise_raw": "experience, ideology, and weapons", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 0.933, | |
| "RoBERTa-FT_logit_sum": 14.367, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 5.4008, | |
| "DistilBERT-FT_logit_sum": 0.007, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 1.6594, | |
| "RoBERTa-OTS_logit_sum": 12.127, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 1.7941, | |
| "BERT-lg-OTS_logit_sum": 14.919 | |
| }, | |
| { | |
| "question": "In what year did the Amazon experience a drought that may have been more extreme than in 2005?", | |
| "gold": "2010", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Amazon experienced a drought in **2010** that may have been more extreme than in 2005.", | |
| "concise_raw": "2010", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.001, | |
| "RoBERTa-FT_logit_sum": 16.411, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.3758, | |
| "DistilBERT-FT_logit_sum": 10.345, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.4484, | |
| "RoBERTa-OTS_logit_sum": 12.374, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.3448, | |
| "BERT-lg-OTS_logit_sum": 17.175 | |
| }, | |
| { | |
| "question": "What month and year was Apollo 13 launched?", | |
| "gold": "April 1970", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Apollo 13 was launched in **April 1970**.", | |
| "concise_raw": "April 1970", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0157, | |
| "RoBERTa-FT_logit_sum": 19.65, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.1068, | |
| "DistilBERT-FT_logit_sum": 10.941, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.0412, | |
| "RoBERTa-OTS_logit_sum": 13.486, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.7104, | |
| "BERT-lg-OTS_logit_sum": 14.005 | |
| }, | |
| { | |
| "question": "Why did Warsaw become the capital of the Commonwealth?", | |
| "gold": "Due to its central location", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Warsaw became the capital of the Commonwealth primarily due to its central location between the existing capitals of Krak\u00f3w and Vilnius, which made it a more convenient and accessible seat of government for the unified Polish\u2013Lithuanian state. This move was formalized when King Sigismund III Vasa relocated his court from Krak\u00f3w to Warsaw in 1596.", | |
| "concise_raw": "Due to its central location between Krak\u00f3w and Vilnius.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 2.4171, | |
| "RoBERTa-FT_logit_sum": 9.857, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 5.9799, | |
| "DistilBERT-FT_logit_sum": 5.011, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.207, | |
| "RoBERTa-OTS_entropy": 4.998, | |
| "RoBERTa-OTS_logit_sum": 10.783, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.4, | |
| "BERT-lg-OTS_entropy": 4.4523, | |
| "BERT-lg-OTS_logit_sum": 12.158 | |
| }, | |
| { | |
| "question": "How many Muslims came from around the world to fight in Afghanistan?", | |
| "gold": "16,000 to 35,000", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, an estimated 16,000 to 35,000 Muslim volunteers came from around the world to fight in Afghanistan.", | |
| "concise_raw": "16,000 to 35,000.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0054, | |
| "RoBERTa-FT_logit_sum": 17.929, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.111, | |
| "DistilBERT-FT_entropy": 2.6616, | |
| "DistilBERT-FT_logit_sum": 6.342, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.1039, | |
| "RoBERTa-OTS_logit_sum": 10.625, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.25, | |
| "BERT-lg-OTS_entropy": 1.4263, | |
| "BERT-lg-OTS_logit_sum": 13.745 | |
| }, | |
| { | |
| "question": "What was the purpose of Loudoun's troops at Fort Henry?", | |
| "gold": "to distract Montcalm", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the purpose of Loudoun's troops at Fort William Henry was to distract Montcalm.", | |
| "concise_raw": "To distract Montcalm.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.5, | |
| "RoBERTa-FT_entropy": 0.3386, | |
| "RoBERTa-FT_logit_sum": 14.868, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.5, | |
| "DistilBERT-FT_entropy": 1.5916, | |
| "DistilBERT-FT_logit_sum": 7.342, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.6418, | |
| "RoBERTa-OTS_logit_sum": 10.823, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.5676, | |
| "BERT-lg-OTS_logit_sum": 16.076 | |
| }, | |
| { | |
| "question": "What team did the Panthers defeat?", | |
| "gold": "Arizona Cardinals", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Panthers defeated the Arizona Cardinals 49\u201315 in the NFC Championship Game.", | |
| "concise_raw": "Arizona Cardinals", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.018, | |
| "RoBERTa-FT_logit_sum": 14.846, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6632, | |
| "DistilBERT-FT_logit_sum": 11.009, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.926, | |
| "RoBERTa-OTS_logit_sum": 13.06, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.5895, | |
| "BERT-lg-OTS_logit_sum": 14.801 | |
| }, | |
| { | |
| "question": "Who was appointed as second in command to Lor Loudoun in 1756?", | |
| "gold": "Major General James Abercrombie", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Major General James Abercrombie was appointed as second in command to Lord Loudoun in 1756.", | |
| "concise_raw": "Major General James Abercrombie", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.6989, | |
| "RoBERTa-FT_logit_sum": 19.518, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 3.006, | |
| "DistilBERT-FT_logit_sum": 6.391, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 1.9351, | |
| "RoBERTa-OTS_logit_sum": 9.438, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.0577, | |
| "BERT-lg-OTS_logit_sum": 17.939 | |
| }, | |
| { | |
| "question": "Where did the family move in 1862?", | |
| "gold": "Gospi\u0107, Austrian Empire", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The family moved to Gospi\u0107, Austrian Empire.", | |
| "concise_raw": "Gospi\u0107, Austrian Empire", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.5, | |
| "RoBERTa-FT_entropy": 0.4735, | |
| "RoBERTa-FT_logit_sum": 13.82, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 1.9597, | |
| "DistilBERT-FT_logit_sum": 9.662, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 0.3547, | |
| "RoBERTa-OTS_logit_sum": 8.226, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 1.266, | |
| "BERT-lg-OTS_logit_sum": 9.559 | |
| }, | |
| { | |
| "question": "Who build the major port city in Kenya?", | |
| "gold": "The Swahili", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the major port city in Kenya is Mombasa, and it was built by **the Swahili**.", | |
| "concise_raw": "The Swahili.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 1.7919, | |
| "RoBERTa-FT_logit_sum": 6.226, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.25, | |
| "DistilBERT-FT_entropy": 1.9636, | |
| "DistilBERT-FT_logit_sum": 12.948, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 3.1109, | |
| "RoBERTa-OTS_logit_sum": 8.822, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 3.1283, | |
| "BERT-lg-OTS_logit_sum": 13.195 | |
| }, | |
| { | |
| "question": "What type of defense is sometimes used in court by protestors?", | |
| "gold": "competing harms defense", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the type of defense sometimes used in court by protestors is the **necessity defense** (also referred to as a \"competing harms defense\" or \"political necessity defense\").", | |
| "concise_raw": "Necessity defense", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.4, | |
| "RoBERTa-FT_entropy": 0.1313, | |
| "RoBERTa-FT_logit_sum": 14.432, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.4, | |
| "DistilBERT-FT_entropy": 1.7888, | |
| "DistilBERT-FT_logit_sum": 13.75, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.4, | |
| "RoBERTa-OTS_entropy": 2.7532, | |
| "RoBERTa-OTS_logit_sum": 12.452, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.4, | |
| "BERT-lg-OTS_entropy": 2.9846, | |
| "BERT-lg-OTS_logit_sum": 14.825 | |
| }, | |
| { | |
| "question": "When was Warsaw ranked as the 32nd most liveable city in the world?", | |
| "gold": "2012", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Warsaw was ranked as the 32nd most liveable city in the world in 2012.", | |
| "concise_raw": "2012", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0024, | |
| "RoBERTa-FT_logit_sum": 16.491, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 3.2743, | |
| "DistilBERT-FT_logit_sum": 3.14, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.1934, | |
| "RoBERTa-OTS_logit_sum": 13.767, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.2269, | |
| "BERT-lg-OTS_logit_sum": 15.678 | |
| }, | |
| { | |
| "question": "What was redesigned during the Apollo program being grounded during 1970?", | |
| "gold": "oxygen tank", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the **oxygen tank** was redesigned during the grounding in 1970. An extra one was also added.", | |
| "concise_raw": "The oxygen tank.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 1.0807, | |
| "RoBERTa-FT_logit_sum": 16.355, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.394, | |
| "DistilBERT-FT_logit_sum": 14.416, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.2932, | |
| "RoBERTa-OTS_logit_sum": 15.14, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.1583, | |
| "BERT-lg-OTS_logit_sum": 16.116 | |
| }, | |
| { | |
| "question": "Where is the ABC four-note jingle still in use?", | |
| "gold": "ABC on Demand to the beginning of the ABC show", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the ABC four-note jingle is still in use on **ABC on Demand** at the beginning of ABC shows.", | |
| "concise_raw": "ABC on Demand", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.545, | |
| "RoBERTa-FT_entropy": 0.618, | |
| "RoBERTa-FT_logit_sum": 14.155, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.545, | |
| "DistilBERT-FT_entropy": 2.0091, | |
| "DistilBERT-FT_logit_sum": 7.111, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.545, | |
| "RoBERTa-OTS_entropy": 3.6684, | |
| "RoBERTa-OTS_logit_sum": 10.158, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.706, | |
| "BERT-lg-OTS_entropy": 3.9053, | |
| "BERT-lg-OTS_logit_sum": 12.715 | |
| }, | |
| { | |
| "question": "What was Isiah Bowman nick name, as known by the public.", | |
| "gold": "Wilson's geographer", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided text, Isiah Bowman was known as \"Wilson's geographer.\"", | |
| "concise_raw": "Wilson's geographer", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.1747, | |
| "RoBERTa-FT_logit_sum": 17.835, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.4, | |
| "DistilBERT-FT_entropy": 2.1253, | |
| "DistilBERT-FT_logit_sum": 7.438, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.6597, | |
| "RoBERTa-OTS_logit_sum": 12.317, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.4, | |
| "BERT-lg-OTS_entropy": 2.1064, | |
| "BERT-lg-OTS_logit_sum": 12.658 | |
| }, | |
| { | |
| "question": "Which Super Bowl halftime show did Beyonc\u00e9 headline?", | |
| "gold": "Super Bowl XLVII", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Beyonc\u00e9 headlined the Super Bowl XLVII halftime show.", | |
| "concise_raw": "Super Bowl XLVII", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 2.0582, | |
| "RoBERTa-FT_logit_sum": 0.261, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.75, | |
| "DistilBERT-FT_entropy": 3.668, | |
| "DistilBERT-FT_logit_sum": 3.162, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.1063, | |
| "RoBERTa-OTS_logit_sum": 14.931, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.2359, | |
| "BERT-lg-OTS_logit_sum": 15.591 | |
| }, | |
| { | |
| "question": "In 1735, who did John and Charles Wesley teach the gospel to in America?", | |
| "gold": "American Indians", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, John and Charles Wesley went to America to teach the gospel to the **American Indians** in the colony of Georgia.", | |
| "concise_raw": "American Indians", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 1.2562, | |
| "RoBERTa-FT_logit_sum": 12.828, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 2.2409, | |
| "DistilBERT-FT_logit_sum": 11.674, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.7476, | |
| "RoBERTa-OTS_logit_sum": 8.55, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.8415, | |
| "BERT-lg-OTS_logit_sum": 14.471 | |
| }, | |
| { | |
| "question": "What had the number of people living in Warsaw declined to by 1945?", | |
| "gold": "420,000", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the number of people living in Warsaw had declined to **420,000** by 1945.", | |
| "concise_raw": "420,000", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0042, | |
| "RoBERTa-FT_logit_sum": 19.915, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 0.8408, | |
| "DistilBERT-FT_logit_sum": 14.002, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.774, | |
| "RoBERTa-OTS_logit_sum": 15.363, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 1.8611, | |
| "BERT-lg-OTS_logit_sum": 14.321 | |
| }, | |
| { | |
| "question": "What position did Mark Woods take on at the new American Broadcasting Company?", | |
| "gold": "president and CEO", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, Mark Woods retained his position as president and CEO of ABC until December 1949, and was subsequently promoted to vice-chairman of the board.\n\n**Answer:** Vice-chairman of the board", | |
| "concise_raw": "President and CEO", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 1.7558, | |
| "RoBERTa-FT_logit_sum": 5.934, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 5.6342, | |
| "DistilBERT-FT_logit_sum": 2.509, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.0284, | |
| "RoBERTa-OTS_logit_sum": 11.278, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.3, | |
| "BERT-lg-OTS_entropy": 2.8558, | |
| "BERT-lg-OTS_logit_sum": 10.449 | |
| }, | |
| { | |
| "question": "What country did the Rhine continue to rise during the holocene?", | |
| "gold": "Netherlands", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Rhine continued to rise in the **Netherlands**.", | |
| "concise_raw": "Netherlands", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.2299, | |
| "RoBERTa-FT_logit_sum": 18.269, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.2791, | |
| "DistilBERT-FT_logit_sum": 11.692, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.795, | |
| "RoBERTa-OTS_logit_sum": 7.946, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.6205, | |
| "BERT-lg-OTS_logit_sum": 12.231 | |
| }, | |
| { | |
| "question": "How many soldiers did Genghis Khan take with him to Khwarezmia?", | |
| "gold": "100,000", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Genghis Khan organized around 100,000 soldiers (10 tumens) for the invasion campaign to Khwarezmia.\n\n**Answer:** 100,000 soldiers", | |
| "concise_raw": "100,000 soldiers.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0926, | |
| "RoBERTa-FT_logit_sum": 18.466, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 1.006, | |
| "DistilBERT-FT_logit_sum": 10.226, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.7477, | |
| "RoBERTa-OTS_logit_sum": 9.858, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 2.0505, | |
| "BERT-lg-OTS_logit_sum": 14.526 | |
| }, | |
| { | |
| "question": "Why does unemployment harm growth?", | |
| "gold": "because it is a waste of resources", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided text, unemployment harms growth for several reasons:\n\n- It is a waste of resources.\n- It generates redistributive pressures and subsequent distortions.\n- It drives people to poverty.\n- It constrains liquidity, limiting labor mobility.\n- It erodes self-esteem, promoting social dislocation, unrest, and conflict.", | |
| "concise_raw": "It wastes resources and increases inequality, which reduces growth.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 2.8532, | |
| "RoBERTa-FT_logit_sum": 8.2, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.216, | |
| "DistilBERT-FT_entropy": 4.4213, | |
| "DistilBERT-FT_logit_sum": 6.309, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.909, | |
| "RoBERTa-OTS_entropy": 3.3659, | |
| "RoBERTa-OTS_logit_sum": 11.216, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.909, | |
| "BERT-lg-OTS_entropy": 2.8518, | |
| "BERT-lg-OTS_logit_sum": 13.205 | |
| }, | |
| { | |
| "question": "Who was the War of Currents waged between? ", | |
| "gold": "Thomas Edison and George Westinghouse", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the War of Currents was waged between **Thomas Edison and George Westinghouse**.", | |
| "concise_raw": "Thomas Edison and George Westinghouse", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.1534, | |
| "RoBERTa-FT_logit_sum": 16.788, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.2669, | |
| "DistilBERT-FT_logit_sum": 13.128, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.7746, | |
| "RoBERTa-OTS_logit_sum": 14.359, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.702, | |
| "BERT-lg-OTS_logit_sum": 16.439 | |
| }, | |
| { | |
| "question": "What was the English name of Gou's calendar?", | |
| "gold": "Calendar for Fixing the Seasons", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the English name of Gou's calendar was the **Calendar for Fixing the Seasons**.", | |
| "concise_raw": "Calendar for Fixing the Seasons", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0348, | |
| "RoBERTa-FT_logit_sum": 18.714, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 3.369, | |
| "DistilBERT-FT_logit_sum": 3.223, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.1446, | |
| "RoBERTa-OTS_logit_sum": 13.843, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.4241, | |
| "BERT-lg-OTS_logit_sum": 11.563 | |
| }, | |
| { | |
| "question": "What term is used to explain a change in the appearance of Doctor Who?", | |
| "gold": "regeneration", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, the term used to explain a change in the appearance of Doctor Who is **regeneration**.", | |
| "concise_raw": "Regeneration", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0029, | |
| "RoBERTa-FT_logit_sum": 20.45, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4815, | |
| "DistilBERT-FT_logit_sum": 11.847, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.61, | |
| "RoBERTa-OTS_logit_sum": 14.491, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.9886, | |
| "BERT-lg-OTS_logit_sum": 15.221 | |
| }, | |
| { | |
| "question": "Which NASA orbiter photographed evidence of each site on the moon that a manned Apollo mission landing occurred?", | |
| "gold": "Lunar Reconnaissance Orbiter", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the NASA orbiter that photographed evidence of each site where a manned Apollo flight landed was the **Lunar Reconnaissance Orbiter**.", | |
| "concise_raw": "Lunar Reconnaissance Orbiter", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0362, | |
| "RoBERTa-FT_logit_sum": 19.11, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.1162, | |
| "DistilBERT-FT_logit_sum": 8.808, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.9242, | |
| "RoBERTa-OTS_logit_sum": 16.312, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.9208, | |
| "BERT-lg-OTS_logit_sum": 16.534 | |
| }, | |
| { | |
| "question": "How long was the Summer Theatre in operation?", | |
| "gold": "1870 to 1939", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Summer Theatre was in operation from 1870 to 1939.\n\nTo calculate the duration: 1939 - 1870 = 69 years.\n\nTherefore, the Summer Theatre was in operation for **69 years**.", | |
| "concise_raw": "69 years", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 1.3722, | |
| "RoBERTa-FT_logit_sum": 6.662, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 4.6181, | |
| "DistilBERT-FT_logit_sum": 5.178, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 4.2897, | |
| "RoBERTa-OTS_logit_sum": 8.618, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.8126, | |
| "BERT-lg-OTS_logit_sum": 10.199 | |
| }, | |
| { | |
| "question": "What is a genuine love of God with heart, soul and mind?", | |
| "gold": "Christian Perfection", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, a genuine love of God with heart, soul, and mind is the central aim of the Christian life, sustained by Sanctifying Grace. It is the state of Christian Perfection, characterized by a Spirit-filled and Christ-like life where a believer has lost all inclination to evil and is enabled to respond to God in perfect love.", | |
| "concise_raw": "Christian Perfection.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.3073, | |
| "RoBERTa-FT_logit_sum": 9.827, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.989, | |
| "DistilBERT-FT_logit_sum": 8.097, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.286, | |
| "RoBERTa-OTS_entropy": 4.8923, | |
| "RoBERTa-OTS_logit_sum": 4.728, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.286, | |
| "BERT-lg-OTS_entropy": 2.0633, | |
| "BERT-lg-OTS_logit_sum": 14.413 | |
| }, | |
| { | |
| "question": "What shape are pyrenoids?", | |
| "gold": "roughly spherical", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, pyrenoids are **roughly spherical**.", | |
| "concise_raw": "Roughly spherical", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0421, | |
| "RoBERTa-FT_logit_sum": 18.44, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4481, | |
| "DistilBERT-FT_logit_sum": 15.027, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 1.2957, | |
| "RoBERTa-OTS_logit_sum": 11.348, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.3955, | |
| "BERT-lg-OTS_logit_sum": 15.099 | |
| }, | |
| { | |
| "question": "What continent are the Canarian Islands off the coast of?", | |
| "gold": "Africa", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The Canarian Islands are off the coast of Africa.", | |
| "concise_raw": "Africa", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0018, | |
| "RoBERTa-FT_logit_sum": 15.484, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4617, | |
| "DistilBERT-FT_logit_sum": 11.467, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.5471, | |
| "RoBERTa-OTS_logit_sum": 7.724, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.0503, | |
| "BERT-lg-OTS_logit_sum": 14.536 | |
| }, | |
| { | |
| "question": "What do the auricles do?", | |
| "gold": "help direct microscopic prey toward the mouth", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, the auricles produce water currents that help direct microscopic prey toward the mouth.", | |
| "concise_raw": "Produce water currents to direct prey toward the mouth.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.015, | |
| "RoBERTa-FT_logit_sum": 20.349, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4159, | |
| "DistilBERT-FT_logit_sum": 12.126, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 3.0502, | |
| "RoBERTa-OTS_logit_sum": 9.426, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 1.7595, | |
| "BERT-lg-OTS_logit_sum": 12.027 | |
| }, | |
| { | |
| "question": "Which articles state that the member states' rights to deliver public services may not be obstructed?", | |
| "gold": "Articles 106 and 107", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the articles that state that member states' rights to deliver public services may not be obstructed are **Articles 106 and 107**.", | |
| "concise_raw": "Articles 106 and 107.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0166, | |
| "RoBERTa-FT_logit_sum": 18.094, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.6762, | |
| "DistilBERT-FT_logit_sum": 8.074, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.0089, | |
| "RoBERTa-OTS_logit_sum": 14.717, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.0551, | |
| "BERT-lg-OTS_logit_sum": 16.249 | |
| }, | |
| { | |
| "question": "What building was a gift from the Soviet Union?", | |
| "gold": "Palace of Culture and Science", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The building that was a gift from the Soviet Union is the **Palace of Culture and Science**.", | |
| "concise_raw": "Palace of Culture and Science", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0281, | |
| "RoBERTa-FT_logit_sum": 19.838, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.5102, | |
| "DistilBERT-FT_logit_sum": 15.793, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.5214, | |
| "RoBERTa-OTS_logit_sum": 12.99, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.7562, | |
| "BERT-lg-OTS_logit_sum": 15.446 | |
| }, | |
| { | |
| "question": "For what league does ABC broadcast games on Christmas day?", | |
| "gold": "NBA", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, ABC broadcasts **NBA** games on Christmas day.", | |
| "concise_raw": "NBA", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0057, | |
| "RoBERTa-FT_logit_sum": 16.238, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.705, | |
| "DistilBERT-FT_logit_sum": 12.426, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.8667, | |
| "RoBERTa-OTS_logit_sum": 12.696, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.0483, | |
| "BERT-lg-OTS_logit_sum": 15.243 | |
| }, | |
| { | |
| "question": "How are eggs and sperm released?", | |
| "gold": "via pores in the epidermis", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, eggs and sperm are released via pores in the epidermis.", | |
| "concise_raw": "Via pores in the epidermis.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0058, | |
| "RoBERTa-FT_logit_sum": 19.579, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.1188, | |
| "DistilBERT-FT_logit_sum": 15.135, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.1218, | |
| "RoBERTa-OTS_logit_sum": 11.836, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.2637, | |
| "BERT-lg-OTS_logit_sum": 12.767 | |
| }, | |
| { | |
| "question": "The Ottoman empire controlled territory on three continents, Africa, Asia and which other?", | |
| "gold": "Europe", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Ottoman Empire controlled territory on Africa, Asia, and **Europe**.", | |
| "concise_raw": "Europe", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0056, | |
| "RoBERTa-FT_logit_sum": 16.183, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6853, | |
| "DistilBERT-FT_logit_sum": 12.319, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.641, | |
| "RoBERTa-OTS_logit_sum": 8.915, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.7638, | |
| "BERT-lg-OTS_logit_sum": 13.926 | |
| }, | |
| { | |
| "question": "Which group did not agree to sign these agreements?", | |
| "gold": "The Swiss cities", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the group that did not agree to sign these agreements was the **Swiss cities**.", | |
| "concise_raw": "Swiss cities", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.586, | |
| "RoBERTa-FT_logit_sum": 14.469, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6977, | |
| "DistilBERT-FT_logit_sum": 15.111, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.2209, | |
| "RoBERTa-OTS_logit_sum": 15.92, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.736, | |
| "BERT-lg-OTS_logit_sum": 13.672 | |
| }, | |
| { | |
| "question": "Who was the #2 pick in the 2011 NFL Draft?", | |
| "gold": "Von Miller", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the #2 pick in the 2011 NFL Draft was **Von Miller**.", | |
| "concise_raw": "Von Miller", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0045, | |
| "RoBERTa-FT_logit_sum": 18.678, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.6229, | |
| "DistilBERT-FT_logit_sum": 14.841, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.8626, | |
| "RoBERTa-OTS_logit_sum": 15.206, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.1399, | |
| "BERT-lg-OTS_logit_sum": 16.763 | |
| }, | |
| { | |
| "question": "What did John Wesley originally call the experience of conversion?", | |
| "gold": "New Birth", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, John Wesley originally called the experience of conversion the **New Birth**.", | |
| "concise_raw": "The New Birth", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.006, | |
| "RoBERTa-FT_logit_sum": 19.688, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.3172, | |
| "DistilBERT-FT_logit_sum": 15.119, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.4654, | |
| "RoBERTa-OTS_logit_sum": 14.3, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.7287, | |
| "BERT-lg-OTS_logit_sum": 16.029 | |
| }, | |
| { | |
| "question": "Who was this season's NFL MVP?", | |
| "gold": "Cam Newton", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the NFL MVP for that season was Cam Newton.", | |
| "concise_raw": "Cam Newton", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0085, | |
| "RoBERTa-FT_logit_sum": 17.897, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.5493, | |
| "DistilBERT-FT_logit_sum": 12.885, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.1279, | |
| "RoBERTa-OTS_logit_sum": 15.495, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.1788, | |
| "BERT-lg-OTS_logit_sum": 16.839 | |
| }, | |
| { | |
| "question": "For which ABC Movie of the Week film did Steven Spielberg first gain success?", | |
| "gold": "Duel", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Steven Spielberg first gained success through the ABC Movie of the Week film *Duel* (1971).", | |
| "concise_raw": "Duel", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.006, | |
| "RoBERTa-FT_logit_sum": 19.058, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6457, | |
| "DistilBERT-FT_logit_sum": 12.666, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.1722, | |
| "RoBERTa-OTS_logit_sum": 11.884, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.1975, | |
| "BERT-lg-OTS_logit_sum": 13.37 | |
| }, | |
| { | |
| "question": "What was a plugs-out test done to simulate on the LC-34?", | |
| "gold": "launch countdown", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, a plugs-out test was done to simulate **a launch countdown on LC-34 with the spacecraft transferring from pad-supplied to internal power**.", | |
| "concise_raw": "A launch countdown with internal power transfer.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0551, | |
| "RoBERTa-FT_logit_sum": 19.692, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.437, | |
| "DistilBERT-FT_logit_sum": 14.393, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.6676, | |
| "RoBERTa-OTS_logit_sum": 15.435, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.0951, | |
| "BERT-lg-OTS_logit_sum": 15.274 | |
| }, | |
| { | |
| "question": "What is the term for closing off rivers that are no longer connected?", | |
| "gold": "dammed", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the term used for closing off rivers that are no longer connected is **\"dammed.\"**\n\nThe text states: \"Many rivers have been closed (\"dammed\") and now serve as drainage channels for the numerous polders.\"", | |
| "concise_raw": "Damming", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0098, | |
| "RoBERTa-FT_logit_sum": 17.594, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.1265, | |
| "DistilBERT-FT_logit_sum": 15.708, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.023, | |
| "RoBERTa-OTS_logit_sum": 9.844, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.795, | |
| "BERT-lg-OTS_logit_sum": 16.941 | |
| }, | |
| { | |
| "question": "How many of Jacksonville's city residents are younger than 18?", | |
| "gold": "23.9%", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, 23.9% of the population is under the age of 18. However, the total population of Jacksonville is not given in the text, so the exact number cannot be calculated.\n\nTherefore, the answer is that the number cannot be determined from the given information.", | |
| "concise_raw": "23.9%", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0097, | |
| "RoBERTa-FT_logit_sum": 20.679, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 0.5597, | |
| "DistilBERT-FT_logit_sum": 12.861, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.7281, | |
| "RoBERTa-OTS_logit_sum": 13.22, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 0.1869, | |
| "BERT-lg-OTS_logit_sum": 15.817 | |
| }, | |
| { | |
| "question": "What type of ratios are used in geochronologic and thermochronologic studies?", | |
| "gold": "isotope ratios of radioactive elements", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the type of ratios used in geochronologic and thermochronologic studies are **isotope ratios of radioactive elements**.", | |
| "concise_raw": "Isotope ratios.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0036, | |
| "RoBERTa-FT_logit_sum": 18.667, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.1674, | |
| "DistilBERT-FT_logit_sum": 15.54, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.5344, | |
| "RoBERTa-OTS_logit_sum": 13.096, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.0431, | |
| "BERT-lg-OTS_logit_sum": 14.475 | |
| }, | |
| { | |
| "question": "What organization offers monetary awards for identifying primes with at least 100 million digits?", | |
| "gold": "The Electronic Frontier Foundation", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, the organization that offers monetary awards for identifying primes with at least 100 million digits is the **Electronic Frontier Foundation**.", | |
| "concise_raw": "Electronic Frontier Foundation", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.6547, | |
| "RoBERTa-FT_logit_sum": 11.7, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.1518, | |
| "DistilBERT-FT_logit_sum": 13.426, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.9111, | |
| "RoBERTa-OTS_logit_sum": 14.979, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.278, | |
| "BERT-lg-OTS_logit_sum": 15.331 | |
| }, | |
| { | |
| "question": "What is the name given to the input string of a computational problem?", | |
| "gold": "problem instance", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The input string of a computational problem is called a **problem instance**.", | |
| "concise_raw": "Problem instance", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.018, | |
| "RoBERTa-FT_logit_sum": 16.673, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6599, | |
| "DistilBERT-FT_logit_sum": 13.459, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.2529, | |
| "RoBERTa-OTS_logit_sum": 14.973, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.4386, | |
| "BERT-lg-OTS_logit_sum": 14.993 | |
| }, | |
| { | |
| "question": "What differs about secondary chloroplasts' membranes?", | |
| "gold": "additional membranes outside of the original two", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, the difference is that secondary chloroplasts have **additional membranes** beyond the original two from the cyanobacterial ancestor. Specifically, they have **three or four membranes** in total, which can include the eaten alga's cell membrane and the host's phagosomal vacuole membrane.", | |
| "concise_raw": "Additional membranes (three or four total).", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.727, | |
| "RoBERTa-FT_entropy": 1.1913, | |
| "RoBERTa-FT_logit_sum": 8.671, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.727, | |
| "DistilBERT-FT_entropy": 3.4295, | |
| "DistilBERT-FT_logit_sum": 9.349, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.5, | |
| "RoBERTa-OTS_entropy": 5.3966, | |
| "RoBERTa-OTS_logit_sum": 10.045, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.364, | |
| "BERT-lg-OTS_entropy": 5.5322, | |
| "BERT-lg-OTS_logit_sum": 9.522 | |
| }, | |
| { | |
| "question": "How old was Peyton Manning when he played in Super Bowl 50?", | |
| "gold": "39", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Peyton Manning was 39 years old when he played in Super Bowl 50.", | |
| "concise_raw": "39", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0032, | |
| "RoBERTa-FT_logit_sum": 15.585, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.5393, | |
| "DistilBERT-FT_logit_sum": 11.788, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.2727, | |
| "RoBERTa-OTS_logit_sum": 12.52, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.9457, | |
| "BERT-lg-OTS_logit_sum": 13.566 | |
| }, | |
| { | |
| "question": "Where does the diatom endosymbiont store starch?", | |
| "gold": "granules in the dinophyte host's cytoplasm", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the diatom endosymbiont **does not store its own starch**. Instead, the starch is found in granules in the **dinophyte host's cytoplasm**.", | |
| "concise_raw": "In the dinophyte host's cytoplasm.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 1.1967, | |
| "RoBERTa-FT_logit_sum": 9.562, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.727, | |
| "DistilBERT-FT_entropy": 1.2871, | |
| "DistilBERT-FT_logit_sum": 12.146, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 3.5623, | |
| "RoBERTa-OTS_logit_sum": 8.018, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 4.1221, | |
| "BERT-lg-OTS_logit_sum": 12.742 | |
| }, | |
| { | |
| "question": "What service did Verizon customers need to use to stream the game on their smartphones?", | |
| "gold": "NFL Mobile", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, Verizon customers needed to use the **NFL Mobile service** to stream the game on their smartphones.", | |
| "concise_raw": "NFL Mobile", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0284, | |
| "RoBERTa-FT_logit_sum": 19.261, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.9714, | |
| "DistilBERT-FT_logit_sum": 14.904, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.1766, | |
| "RoBERTa-OTS_logit_sum": 15.198, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.8, | |
| "BERT-lg-OTS_entropy": 2.5714, | |
| "BERT-lg-OTS_logit_sum": 13.624 | |
| }, | |
| { | |
| "question": "What publication called Doctor Who \"The Greatest UK Science Fiction Series Ever\"?", | |
| "gold": "SFX magazine", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "SFX magazine", | |
| "concise_raw": "SFX magazine", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 1, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.002, | |
| "RoBERTa-FT_logit_sum": 18.671, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.0255, | |
| "DistilBERT-FT_logit_sum": 16.539, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 1.6806, | |
| "RoBERTa-OTS_logit_sum": 6.027, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.0793, | |
| "BERT-lg-OTS_logit_sum": 7.7 | |
| }, | |
| { | |
| "question": "What offers a conceptual definition of force?", | |
| "gold": "Newtonian mechanics", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the conceptual definition of force is offered by **Newtonian mechanics**.", | |
| "concise_raw": "Newtonian mechanics.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0057, | |
| "RoBERTa-FT_logit_sum": 20.239, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.5041, | |
| "DistilBERT-FT_logit_sum": 15.328, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.8138, | |
| "RoBERTa-OTS_logit_sum": 14.708, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.0339, | |
| "BERT-lg-OTS_logit_sum": 16.968 | |
| }, | |
| { | |
| "question": "What stretched across middle Europe in the last ice age?", | |
| "gold": "tundra", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, a tundra, with Ice Age flora and fauna, stretched across middle Europe.", | |
| "concise_raw": "A tundra.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0518, | |
| "RoBERTa-FT_logit_sum": 14.752, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.0983, | |
| "DistilBERT-FT_logit_sum": 16.076, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.5246, | |
| "RoBERTa-OTS_logit_sum": 6.534, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.014, | |
| "BERT-lg-OTS_logit_sum": 15.075 | |
| }, | |
| { | |
| "question": "What was huihui?", | |
| "gold": "Muslim medicine", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, *huihui* was a label sometimes used for Western medicine as practiced by the Nestorian Christians of the Yuan court.", | |
| "concise_raw": "Muslim medicine", | |
| "verbose_span": 0, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.5, | |
| "RoBERTa-FT_entropy": 1.0272, | |
| "RoBERTa-FT_logit_sum": 11.272, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.167, | |
| "DistilBERT-FT_entropy": 5.0975, | |
| "DistilBERT-FT_logit_sum": 2.346, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.25, | |
| "RoBERTa-OTS_entropy": 2.3327, | |
| "RoBERTa-OTS_logit_sum": 14.478, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.5, | |
| "BERT-lg-OTS_entropy": 1.6331, | |
| "BERT-lg-OTS_logit_sum": 11.481 | |
| }, | |
| { | |
| "question": "Approximately how many architectural drawings does the V&A hold in its collection?", | |
| "gold": "over 600,000", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, the V&A holds over 600,000 architectural drawings in its collection.", | |
| "concise_raw": "Over 600,000.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0073, | |
| "RoBERTa-FT_logit_sum": 20.768, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.4, | |
| "DistilBERT-FT_entropy": 0.3353, | |
| "DistilBERT-FT_logit_sum": 12.808, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 1.021, | |
| "RoBERTa-OTS_logit_sum": 15.072, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 0.5928, | |
| "BERT-lg-OTS_logit_sum": 15.953 | |
| }, | |
| { | |
| "question": "Who did the Panthers beat in the NFC Championship Game?", | |
| "gold": "Arizona Cardinals", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Panthers beat the Arizona Cardinals in the NFC Championship Game.", | |
| "concise_raw": "Arizona Cardinals", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0143, | |
| "RoBERTa-FT_logit_sum": 16.625, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.3939, | |
| "DistilBERT-FT_logit_sum": 10.871, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.9353, | |
| "RoBERTa-OTS_logit_sum": 14.792, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.7951, | |
| "BERT-lg-OTS_logit_sum": 16.246 | |
| }, | |
| { | |
| "question": "Which town's massacre did Genghis Khan order in retribution for the treatment of his envoys?", | |
| "gold": "Otrar", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the town whose massacre Genghis Khan ordered in retribution for the treatment of his envoys was **Otrar**.", | |
| "concise_raw": "Otrar", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0015, | |
| "RoBERTa-FT_logit_sum": 19.544, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.3289, | |
| "DistilBERT-FT_logit_sum": 16.198, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.1014, | |
| "RoBERTa-OTS_logit_sum": 13.955, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.4902, | |
| "BERT-lg-OTS_logit_sum": 13.587 | |
| }, | |
| { | |
| "question": "What lesson did Johann von Staupitz teach Luther repentance was?", | |
| "gold": "a change of heart", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Johann von Staupitz taught Luther that true repentance does not involve self-inflicted penances and punishments, but rather a change of heart.", | |
| "concise_raw": "A change of heart.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0109, | |
| "RoBERTa-FT_logit_sum": 18.751, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.2396, | |
| "DistilBERT-FT_logit_sum": 13.391, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.9351, | |
| "RoBERTa-OTS_logit_sum": 11.419, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.7757, | |
| "BERT-lg-OTS_logit_sum": 15.249 | |
| }, | |
| { | |
| "question": "Who edited Electrical World magazine?", | |
| "gold": "Thomas Commerford Martin", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the editor of *Electrical World* magazine was **Thomas Commerford Martin**.", | |
| "concise_raw": "Thomas Commerford Martin", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.014, | |
| "RoBERTa-FT_logit_sum": 18.705, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.315, | |
| "DistilBERT-FT_logit_sum": 14.937, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.242, | |
| "RoBERTa-OTS_logit_sum": 14.323, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.1396, | |
| "BERT-lg-OTS_logit_sum": 16.855 | |
| }, | |
| { | |
| "question": "Where did Iroquois Confederation control?", | |
| "gold": "present-day Upstate New York and the Ohio Country", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Iroquois Confederation controlled **much of present-day Upstate New York and the Ohio Country**.", | |
| "concise_raw": "Upstate New York and Ohio Country.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0106, | |
| "RoBERTa-FT_logit_sum": 14.615, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.8, | |
| "DistilBERT-FT_entropy": 0.4506, | |
| "DistilBERT-FT_logit_sum": 15.171, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.923, | |
| "RoBERTa-OTS_entropy": 3.5309, | |
| "RoBERTa-OTS_logit_sum": 8.018, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.706, | |
| "BERT-lg-OTS_entropy": 2.0969, | |
| "BERT-lg-OTS_logit_sum": 13.119 | |
| }, | |
| { | |
| "question": "How did Luther's writings sound as he became less healthy?", | |
| "gold": "harsher", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, as Luther's physical health declined, his writings and comments became harsher and more short-tempered.", | |
| "concise_raw": "Harsher and more rude.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0033, | |
| "RoBERTa-FT_logit_sum": 14.82, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4651, | |
| "DistilBERT-FT_logit_sum": 12.709, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.4, | |
| "RoBERTa-OTS_entropy": 2.3147, | |
| "RoBERTa-OTS_logit_sum": 10.733, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.333, | |
| "BERT-lg-OTS_entropy": 1.5013, | |
| "BERT-lg-OTS_logit_sum": 14.157 | |
| }, | |
| { | |
| "question": "What's the climate like in Newcastle?", | |
| "gold": "oceanic", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, the climate in Newcastle is **oceanic (K\u00f6ppen Cfb)**, characterized by mild winters and cool summers. It is significantly milder than other locations at a similar latitude due to the Gulf Stream, and it is among the driest cities in the UK because it lies in the rain shadow of the North Pennines.", | |
| "concise_raw": "Oceanic (Cfb), mild, relatively dry.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0034, | |
| "RoBERTa-FT_logit_sum": 19.988, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.9149, | |
| "DistilBERT-FT_logit_sum": 12.454, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 3.0219, | |
| "RoBERTa-OTS_logit_sum": 12.597, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 4.3517, | |
| "BERT-lg-OTS_logit_sum": 10.323 | |
| }, | |
| { | |
| "question": "What is the most feared condition that divers want to avoid?", | |
| "gold": "Acute oxygen toxicity", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the most feared condition that divers want to avoid is **convulsions (seizures)** caused by acute oxygen toxicity.", | |
| "concise_raw": "Acute oxygen toxicity (seizures)", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0116, | |
| "RoBERTa-FT_logit_sum": 19.64, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.3475, | |
| "DistilBERT-FT_logit_sum": 14.582, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 3.181, | |
| "RoBERTa-OTS_logit_sum": 10.868, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 2.298, | |
| "BERT-lg-OTS_logit_sum": 13.822 | |
| }, | |
| { | |
| "question": "Other theories of the word's origin can be generally classed as what?", | |
| "gold": "double or triple non-French linguistic origins", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, other theories of the word's origin can be generally classed as **double or triple non-French linguistic origins**.", | |
| "concise_raw": "Non-French linguistic origins", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0159, | |
| "RoBERTa-FT_logit_sum": 19.691, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.769, | |
| "DistilBERT-FT_entropy": 0.329, | |
| "DistilBERT-FT_logit_sum": 14.778, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.1144, | |
| "RoBERTa-OTS_logit_sum": 13.981, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.769, | |
| "BERT-lg-OTS_entropy": 1.3638, | |
| "BERT-lg-OTS_logit_sum": 15.634 | |
| }, | |
| { | |
| "question": "How many cities in southern California have over 200,000 residents?", | |
| "gold": "twelve", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, there are **twelve** cities in southern California with more than 200,000 residents.", | |
| "concise_raw": "Twelve.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.005, | |
| "RoBERTa-FT_logit_sum": 17.664, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.831, | |
| "DistilBERT-FT_logit_sum": 13.007, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.6527, | |
| "RoBERTa-OTS_logit_sum": 12.418, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.701, | |
| "BERT-lg-OTS_logit_sum": 10.977 | |
| }, | |
| { | |
| "question": "What kind of programs can be credited for ABC's success in the late 1950s?", | |
| "gold": "westerns and detective series", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The programs that can be credited for ABC's success in the late 1950s are westerns, detective series, and the nationally broadcast variety show *American Bandstand*.", | |
| "concise_raw": "Westerns and detective series", | |
| "verbose_span": 0, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.571, | |
| "RoBERTa-FT_entropy": 0.8106, | |
| "RoBERTa-FT_logit_sum": 12.037, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.571, | |
| "DistilBERT-FT_entropy": 2.6553, | |
| "DistilBERT-FT_logit_sum": 9.501, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.857, | |
| "RoBERTa-OTS_entropy": 2.1495, | |
| "RoBERTa-OTS_logit_sum": 12.043, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.857, | |
| "BERT-lg-OTS_entropy": 2.6695, | |
| "BERT-lg-OTS_logit_sum": 8.657 | |
| }, | |
| { | |
| "question": "What is the process of changing light into chemical energy?", | |
| "gold": "photosynthesis", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The process of changing light into chemical energy is called **photosynthesis**.", | |
| "concise_raw": "Photosynthesis", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0025, | |
| "RoBERTa-FT_logit_sum": 18.678, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.3357, | |
| "DistilBERT-FT_logit_sum": 16.163, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.0491, | |
| "RoBERTa-OTS_logit_sum": 14.123, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.2466, | |
| "BERT-lg-OTS_logit_sum": 18.584 | |
| }, | |
| { | |
| "question": "When had the plague reached Alexandria?", | |
| "gold": "autumn 1347", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided text, the plague reached Alexandria in **autumn 1347**.", | |
| "concise_raw": "Autumn 1347", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.1064, | |
| "RoBERTa-FT_logit_sum": 19.891, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.5269, | |
| "DistilBERT-FT_logit_sum": 13.108, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.2597, | |
| "RoBERTa-OTS_logit_sum": 15.307, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.5365, | |
| "BERT-lg-OTS_logit_sum": 15.669 | |
| }, | |
| { | |
| "question": "What are alternate English spelling of Genghis?", | |
| "gold": "Chinghiz, Chinghis, and Chingiz", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the alternate English spellings of Genghis are:\n\nChinghiz, Chinghis, Chingiz, Chinggis, Chingis, Jenghis, and Djingis.", | |
| "concise_raw": "Chinghiz, Chinghis, Chingiz, Jenghis.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 1.4448, | |
| "RoBERTa-FT_logit_sum": 6.87, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 2.8718, | |
| "DistilBERT-FT_logit_sum": 10.21, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 3.6308, | |
| "RoBERTa-OTS_logit_sum": 9.897, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 2.6227, | |
| "BERT-lg-OTS_logit_sum": 11.921 | |
| }, | |
| { | |
| "question": "What did the increase in skilled workers lead to?", | |
| "gold": "a decrease in the price of skilled labor", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the increase in skilled workers led to **a decrease in the price of skilled labor**.", | |
| "concise_raw": "Decrease in price of skilled labor.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0382, | |
| "RoBERTa-FT_logit_sum": 17.169, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.7573, | |
| "DistilBERT-FT_logit_sum": 12.594, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 3.0509, | |
| "RoBERTa-OTS_logit_sum": 13.771, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.2783, | |
| "BERT-lg-OTS_logit_sum": 13.532 | |
| }, | |
| { | |
| "question": "Other than the desert city why do many locals and tourists frequent southern California?", | |
| "gold": "beaches", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Many locals and tourists frequent southern California for its popular beaches.", | |
| "concise_raw": "For its popular beaches.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0077, | |
| "RoBERTa-FT_logit_sum": 15.22, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.2408, | |
| "DistilBERT-FT_logit_sum": 12.501, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 2.2599, | |
| "RoBERTa-OTS_logit_sum": 10.175, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 2.4822, | |
| "BERT-lg-OTS_logit_sum": 9.577 | |
| }, | |
| { | |
| "question": "How many miles east of Berlin is Warsaw?", | |
| "gold": "325", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Warsaw is 325 miles east of Berlin.", | |
| "concise_raw": "325 miles", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0034, | |
| "RoBERTa-FT_logit_sum": 16.025, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4126, | |
| "DistilBERT-FT_logit_sum": 12.295, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.6527, | |
| "RoBERTa-OTS_logit_sum": 12.889, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.4123, | |
| "BERT-lg-OTS_logit_sum": 13.537 | |
| }, | |
| { | |
| "question": "Lots of tumor cells have fewer of what type of molecule on their surface?", | |
| "gold": "MHC class I molecules", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the answer is **MHC class I molecules**.", | |
| "concise_raw": "MHC class I molecules", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0043, | |
| "RoBERTa-FT_logit_sum": 19.354, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.8531, | |
| "DistilBERT-FT_logit_sum": 13.402, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.0727, | |
| "RoBERTa-OTS_logit_sum": 7.895, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 2.6155, | |
| "BERT-lg-OTS_logit_sum": 4.38 | |
| }, | |
| { | |
| "question": "What does the Islamic State lack from the international community?", | |
| "gold": "recognition", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Islamic State lacks international recognition.", | |
| "concise_raw": "Recognition", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0008, | |
| "RoBERTa-FT_logit_sum": 16.021, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.3113, | |
| "DistilBERT-FT_logit_sum": 9.798, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.833, | |
| "RoBERTa-OTS_logit_sum": 11.376, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.8196, | |
| "BERT-lg-OTS_logit_sum": 11.975 | |
| }, | |
| { | |
| "question": "When was al-Nimeiry overthrown?", | |
| "gold": "1985", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided context, al-Nimeiry was overthrown in **1985**.", | |
| "concise_raw": "1985", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0243, | |
| "RoBERTa-FT_logit_sum": 16.233, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.3237, | |
| "DistilBERT-FT_logit_sum": 12.496, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.753, | |
| "RoBERTa-OTS_logit_sum": 12.773, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.9087, | |
| "BERT-lg-OTS_logit_sum": 15.539 | |
| }, | |
| { | |
| "question": "How many divisions are required to verify the primality of the number 37?", | |
| "gold": "only three divisions", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "We need to check divisibility by primes up to \\(\\sqrt{37}\\). \n\\(\\sqrt{37} \\approx 6.08\\), so we check primes \u2264 6: these are 2, 3, and 5.\n\n- 37 \u00f7 2 = 18.5 (not integer) \n- 37 \u00f7 3 \u2248 12.33 (not integer) \n- 37 \u00f7 5 = 7.4 (not integer)\n\nNo division yields an integer, so 37 is prime.\n\n**Number of divisions:** \n\\[\n\\boxed{3}\n\\]", | |
| "concise_raw": "3", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 6.2218, | |
| "RoBERTa-FT_logit_sum": -0.171, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 6.1773, | |
| "DistilBERT-FT_logit_sum": 5.801, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 9.1899, | |
| "RoBERTa-OTS_logit_sum": 3.441, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 7.3941, | |
| "BERT-lg-OTS_logit_sum": 3.901 | |
| }, | |
| { | |
| "question": "What is the largest ABC station operator in terms of market reach?", | |
| "gold": "E. W. Scripps Company", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the largest ABC station operator in terms of market reach is **The E. W. Scripps Company**.", | |
| "concise_raw": "The E. W. Scripps Company", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0784, | |
| "RoBERTa-FT_logit_sum": 20.055, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.2254, | |
| "DistilBERT-FT_logit_sum": 14.683, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.9675, | |
| "RoBERTa-OTS_logit_sum": 14.93, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.3362, | |
| "BERT-lg-OTS_logit_sum": 15.45 | |
| }, | |
| { | |
| "question": "When did Henry issue the Edict of Nantes?", | |
| "gold": "1598", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, Henry issued the Edict of Nantes in **1598**.", | |
| "concise_raw": "1598", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0113, | |
| "RoBERTa-FT_logit_sum": 19.949, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.5475, | |
| "DistilBERT-FT_logit_sum": 14.169, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.0927, | |
| "RoBERTa-OTS_logit_sum": 15.07, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.5964, | |
| "BERT-lg-OTS_logit_sum": 14.451 | |
| }, | |
| { | |
| "question": "How many graduate students does Harvard have?", | |
| "gold": "14,000", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Harvard has 14,000 graduate students.", | |
| "concise_raw": "14,000", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0051, | |
| "RoBERTa-FT_logit_sum": 20.44, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 0.2143, | |
| "DistilBERT-FT_logit_sum": 15.314, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.1642, | |
| "RoBERTa-OTS_logit_sum": 14.718, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 0.1433, | |
| "BERT-lg-OTS_logit_sum": 15.335 | |
| }, | |
| { | |
| "question": "What did Disney rename Capital City/ABC after first acquiring the company?", | |
| "gold": "ABC Inc.", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Disney renamed its new subsidiary **ABC Inc.**", | |
| "concise_raw": "ABC Inc.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.1453, | |
| "RoBERTa-FT_logit_sum": 10.8, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.1351, | |
| "DistilBERT-FT_logit_sum": 10.303, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 1.2654, | |
| "RoBERTa-OTS_logit_sum": 7.729, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.0393, | |
| "BERT-lg-OTS_logit_sum": 7.226 | |
| }, | |
| { | |
| "question": "What is Warsaw's name in the Polish language?", | |
| "gold": "Warszawa", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Warsaw's name in the Polish language is Warszawa.", | |
| "concise_raw": "Warszawa", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0035, | |
| "RoBERTa-FT_logit_sum": 19.131, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.224, | |
| "DistilBERT-FT_logit_sum": 14.936, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.1339, | |
| "RoBERTa-OTS_logit_sum": 15.667, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.1696, | |
| "BERT-lg-OTS_logit_sum": 15.251 | |
| }, | |
| { | |
| "question": "What southern city did the Huguenots settle near?", | |
| "gold": "Charleston, South Carolina", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, the Huguenots settled near **Charleston, South Carolina**.", | |
| "concise_raw": "Charleston", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.01, | |
| "RoBERTa-FT_logit_sum": 19.138, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.3224, | |
| "DistilBERT-FT_logit_sum": 16.318, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.5, | |
| "RoBERTa-OTS_entropy": 1.287, | |
| "RoBERTa-OTS_logit_sum": 10.754, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.5, | |
| "BERT-lg-OTS_entropy": 0.6532, | |
| "BERT-lg-OTS_logit_sum": 12.189 | |
| }, | |
| { | |
| "question": "Who is most likely to teach a child at home?", | |
| "gold": "family member", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the person most likely to teach a child at home is **a family member**.", | |
| "concise_raw": "A family member.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0055, | |
| "RoBERTa-FT_logit_sum": 17.671, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.3211, | |
| "DistilBERT-FT_logit_sum": 15.35, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.8467, | |
| "RoBERTa-OTS_logit_sum": 13.455, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.8311, | |
| "BERT-lg-OTS_logit_sum": 15.906 | |
| }, | |
| { | |
| "question": "What impact did the high school education movement have on the wages of skilled workers?", | |
| "gold": "decrease", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the high school education movement from 1910\u20131940 led to a **decrease in the price (wages) of skilled labor**.", | |
| "concise_raw": "Decreased skilled wages.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.021, | |
| "RoBERTa-FT_logit_sum": 19.203, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.7001, | |
| "DistilBERT-FT_logit_sum": 10.608, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 3.1487, | |
| "RoBERTa-OTS_logit_sum": 14.965, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.4236, | |
| "BERT-lg-OTS_logit_sum": 11.805 | |
| }, | |
| { | |
| "question": "Some elements of the Brotherhood directed what action against the government?", | |
| "gold": "violence", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, some elements of the Brotherhood directed **violence** against the government.", | |
| "concise_raw": "Violence", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0049, | |
| "RoBERTa-FT_logit_sum": 15.905, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.601, | |
| "DistilBERT-FT_logit_sum": 12.807, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.0444, | |
| "RoBERTa-OTS_logit_sum": 10.178, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.1934, | |
| "BERT-lg-OTS_logit_sum": 14.73 | |
| }, | |
| { | |
| "question": "What is expected with the continuous input of sediment into the Dornbirner Ach?", | |
| "gold": "silt", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, the continuous input of sediment into the Dornbirner Ach is not specifically discussed. The text states that the continuous input of sediment into **the lake** (Lake Constance) is expected to silt it up. The Dornbirner Ach is mentioned as flowing into the lake, but the expected outcome of silting is applied to the lake itself, not specifically to the Dornbirner Ach.", | |
| "concise_raw": "Silt up the lake.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.3406, | |
| "RoBERTa-FT_logit_sum": 16.38, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4572, | |
| "DistilBERT-FT_logit_sum": 13.768, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.5, | |
| "RoBERTa-OTS_entropy": 3.65, | |
| "RoBERTa-OTS_logit_sum": 9.363, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.5, | |
| "BERT-lg-OTS_entropy": 2.6403, | |
| "BERT-lg-OTS_logit_sum": 13.72 | |
| }, | |
| { | |
| "question": "Who was the creator of the theme for the 50th Anniversary special?", | |
| "gold": "Gold", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the creator of the theme for the 50th Anniversary special was **Gold**.", | |
| "concise_raw": "Gold", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0081, | |
| "RoBERTa-FT_logit_sum": 12.01, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.8696, | |
| "DistilBERT-FT_logit_sum": 12.517, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.2262, | |
| "RoBERTa-OTS_logit_sum": 9.138, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.6846, | |
| "BERT-lg-OTS_logit_sum": 14.85 | |
| }, | |
| { | |
| "question": "What are two of its subsystems?", | |
| "gold": "innate immune system versus the adaptive immune system", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided context, two of its subsystems are the **innate immune system** and the **adaptive immune system**.", | |
| "concise_raw": "Innate and adaptive immune systems.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.857, | |
| "RoBERTa-FT_entropy": 0.7857, | |
| "RoBERTa-FT_logit_sum": 15.448, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.6, | |
| "DistilBERT-FT_entropy": 2.2606, | |
| "DistilBERT-FT_logit_sum": 15.067, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.857, | |
| "RoBERTa-OTS_entropy": 2.9549, | |
| "RoBERTa-OTS_logit_sum": 13.364, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.857, | |
| "BERT-lg-OTS_entropy": 3.0644, | |
| "BERT-lg-OTS_logit_sum": 13.728 | |
| }, | |
| { | |
| "question": "How many episodes were in The Daleks' Master Plan?", | |
| "gold": "12", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, *The Daleks' Master Plan* aired in 12 episodes, plus an earlier one-episode teaser called \"Mission to the Unknown\".\n\nSo, the serial itself had **12 episodes**.", | |
| "concise_raw": "12 episodes (plus a teaser).", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0043, | |
| "RoBERTa-FT_logit_sum": 15.224, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4267, | |
| "DistilBERT-FT_logit_sum": 12.14, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.0487, | |
| "RoBERTa-OTS_logit_sum": 10.839, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.5562, | |
| "BERT-lg-OTS_logit_sum": 8.46 | |
| }, | |
| { | |
| "question": "What was introduces into the Black Sea?", | |
| "gold": "Mnemiopsis", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, **Mnemiopsis** was introduced into the Black Sea.", | |
| "concise_raw": "Mnemiopsis", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.012, | |
| "RoBERTa-FT_logit_sum": 19.672, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.7874, | |
| "DistilBERT-FT_logit_sum": 15.845, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.8535, | |
| "RoBERTa-OTS_logit_sum": 11.349, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.6761, | |
| "BERT-lg-OTS_logit_sum": 14.532 | |
| }, | |
| { | |
| "question": "How did Mongol armies lure enemy groups out of their defensive positions?", | |
| "gold": "feigned retreat", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Mongol armies lured enemy groups out of their defensive positions by using the feigned retreat, a tactic where they would pretend to flee in disorder, encouraging the enemy to break formation and pursue them. Once the enemy was drawn away from their defended position, the Mongols would ambush and counterattack.", | |
| "concise_raw": "Feigned retreat.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0244, | |
| "RoBERTa-FT_logit_sum": 20.088, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.2934, | |
| "DistilBERT-FT_logit_sum": 14.924, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.2432, | |
| "RoBERTa-OTS_logit_sum": 13.699, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.9563, | |
| "BERT-lg-OTS_logit_sum": 15.831 | |
| }, | |
| { | |
| "question": "What has become the secret to economic growth?", | |
| "gold": "widespread education", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, the secret to economic growth is **widespread education**.", | |
| "concise_raw": "Widespread education", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0063, | |
| "RoBERTa-FT_logit_sum": 19.949, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.3006, | |
| "DistilBERT-FT_logit_sum": 16.298, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.8638, | |
| "RoBERTa-OTS_logit_sum": 11.146, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.5154, | |
| "BERT-lg-OTS_logit_sum": 14.718 | |
| }, | |
| { | |
| "question": "What soap opera is currently featured in ABC's daytime programming?", | |
| "gold": "General Hospital", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the soap opera currently featured in ABC's daytime programming is **General Hospital**.", | |
| "concise_raw": "General Hospital", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0033, | |
| "RoBERTa-FT_logit_sum": 17.821, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.9227, | |
| "DistilBERT-FT_logit_sum": 14.717, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.7419, | |
| "RoBERTa-OTS_logit_sum": 10.238, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.5022, | |
| "BERT-lg-OTS_logit_sum": 16.537 | |
| }, | |
| { | |
| "question": "Which English sculptor who became the leading portrait sculptor in Regency era Britain is represented in the V&A collection?", | |
| "gold": "Sir Francis Chantrey", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the English sculptor who became the leading portrait sculptor in Regency era Britain and is represented in the V&A collection is **Sir Francis Chantrey**.", | |
| "concise_raw": "Sir Francis Chantrey", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0096, | |
| "RoBERTa-FT_logit_sum": 18.957, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4773, | |
| "DistilBERT-FT_logit_sum": 15.39, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.3396, | |
| "RoBERTa-OTS_logit_sum": 16.876, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.3859, | |
| "BERT-lg-OTS_logit_sum": 16.223 | |
| }, | |
| { | |
| "question": "What doctrine did the doctrine of the Principles of Geology successfully promote?", | |
| "gold": "uniformitarianism", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The doctrine of uniformitarianism.", | |
| "concise_raw": "Uniformitarianism", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0126, | |
| "RoBERTa-FT_logit_sum": 20.459, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.2575, | |
| "DistilBERT-FT_logit_sum": 15.014, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 1.3634, | |
| "RoBERTa-OTS_logit_sum": 9.535, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.5113, | |
| "BERT-lg-OTS_logit_sum": 14.052 | |
| }, | |
| { | |
| "question": "During what time did civilization in the Amazon was flourishing when Orellana made his observations?", | |
| "gold": "1540s", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the civilization was flourishing in the **1540s** when Orellana made his observations.", | |
| "concise_raw": "1540s", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0556, | |
| "RoBERTa-FT_logit_sum": 19.961, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.737, | |
| "DistilBERT-FT_logit_sum": 13.025, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.4402, | |
| "RoBERTa-OTS_logit_sum": 13.876, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.7179, | |
| "BERT-lg-OTS_logit_sum": 12.617 | |
| }, | |
| { | |
| "question": "How many total tackles did Charles Johnson have in Super Bowl 50?", | |
| "gold": "four", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Charles Johnson had four total tackles.", | |
| "concise_raw": "Four.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.009, | |
| "RoBERTa-FT_logit_sum": 13.04, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.3074, | |
| "DistilBERT-FT_logit_sum": 11.89, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.4715, | |
| "RoBERTa-OTS_logit_sum": 10.36, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.2526, | |
| "BERT-lg-OTS_logit_sum": 10.782 | |
| }, | |
| { | |
| "question": "Peroxides, nitrates and dichromates are examples of what type of compounds?", | |
| "gold": "compounds of oxygen with a high oxidative", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, peroxides, nitrates, and dichromates are examples of **compounds of oxygen with a high oxidative potential**.", | |
| "concise_raw": "Oxidizing compounds.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0786, | |
| "RoBERTa-FT_logit_sum": 15.264, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.3203, | |
| "DistilBERT-FT_logit_sum": 14.907, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.923, | |
| "RoBERTa-OTS_entropy": 2.9902, | |
| "RoBERTa-OTS_logit_sum": 12.343, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.923, | |
| "BERT-lg-OTS_entropy": 3.4101, | |
| "BERT-lg-OTS_logit_sum": 13.631 | |
| }, | |
| { | |
| "question": "Which company has been able to air multiple ads at a steep discount?", | |
| "gold": "Anheuser-Busch InBev", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the company that has been able to air multiple ads at a steep discount is **Anheuser-Busch InBev**.", | |
| "concise_raw": "Anheuser-Busch InBev", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0125, | |
| "RoBERTa-FT_logit_sum": 18.543, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.4, | |
| "DistilBERT-FT_entropy": 0.5371, | |
| "DistilBERT-FT_logit_sum": 15.15, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.1884, | |
| "RoBERTa-OTS_logit_sum": 14.907, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.4, | |
| "BERT-lg-OTS_entropy": 1.6803, | |
| "BERT-lg-OTS_logit_sum": 14.157 | |
| }, | |
| { | |
| "question": "Sophocles demonstrated civil disobedience in a play that was called?", | |
| "gold": "Antigone", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Sophocles demonstrated civil disobedience in a play that was called **Antigone**.", | |
| "concise_raw": "Antigone", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0052, | |
| "RoBERTa-FT_logit_sum": 17.543, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.402, | |
| "DistilBERT-FT_logit_sum": 15.277, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.4508, | |
| "RoBERTa-OTS_logit_sum": 4.056, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.5422, | |
| "BERT-lg-OTS_logit_sum": 10.487 | |
| }, | |
| { | |
| "question": "What was the proportion of Huguenots to Catholics at their peak?", | |
| "gold": "about one-eighth the number", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, the proportion of Huguenots to Catholics at their peak was about **one-eighth**.", | |
| "concise_raw": "1:8", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.5, | |
| "RoBERTa-FT_entropy": 0.9402, | |
| "RoBERTa-FT_logit_sum": 11.4, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.333, | |
| "DistilBERT-FT_entropy": 2.1311, | |
| "DistilBERT-FT_logit_sum": 9.046, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.5, | |
| "RoBERTa-OTS_entropy": 2.7981, | |
| "RoBERTa-OTS_logit_sum": 11.669, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 2.7839, | |
| "BERT-lg-OTS_logit_sum": 15.144 | |
| }, | |
| { | |
| "question": "How many horsepower was Watt's engine?", | |
| "gold": "ten", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Watt's engine produced **ten horsepower**.", | |
| "concise_raw": "Ten horsepower.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0038, | |
| "RoBERTa-FT_logit_sum": 14.99, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.0826, | |
| "DistilBERT-FT_logit_sum": 12.524, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.9922, | |
| "RoBERTa-OTS_logit_sum": 10.341, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.2311, | |
| "BERT-lg-OTS_logit_sum": 8.557 | |
| }, | |
| { | |
| "question": "What is European Union Law?", | |
| "gold": "a body of treaties and legislation", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "European Union law is the body of treaties and legislation, including Regulations and Directives, that has direct or indirect effect on the laws of EU member states. It is derived from three sources: primary law (mainly the founding Treaties), secondary law (such as regulations and directives based on the Treaties), and supplementary law. The European Parliament and the Council of the European Union are the principal legislative bodies that create secondary law to achieve the objectives set out in the Treaties.", | |
| "concise_raw": "A body of treaties and legislation with direct or indirect effect on EU member states.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.7557, | |
| "RoBERTa-FT_logit_sum": 14.965, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 3.3096, | |
| "DistilBERT-FT_logit_sum": 7.56, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 3.0864, | |
| "RoBERTa-OTS_logit_sum": 14.519, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.7809, | |
| "BERT-lg-OTS_logit_sum": 11.608 | |
| }, | |
| { | |
| "question": "How many museums comprise Harvard Art Museums?", | |
| "gold": "three museums.", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Harvard Art Museums comprises three museums.", | |
| "concise_raw": "Three.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 2.1881, | |
| "RoBERTa-FT_logit_sum": -4.358, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.2213, | |
| "DistilBERT-FT_logit_sum": 12.089, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 0.7405, | |
| "RoBERTa-OTS_logit_sum": 10.306, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 0.6868, | |
| "BERT-lg-OTS_logit_sum": 8.658 | |
| }, | |
| { | |
| "question": "What other clashes were involved in taking Louisbourg?", | |
| "gold": "Petitcodiac in 1755 and at Bloody Creek near Annapolis Royal in 1757", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based solely on the provided text, the only clashes of any size mentioned in relation to the campaign to take Louisbourg (beyond the deportation actions) were at **Petitcodiac in 1755** and at **Bloody Creek near Annapolis Royal in 1757**.", | |
| "concise_raw": "Petitcodiac (1755) and Bloody Creek (1757).", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 1.3309, | |
| "RoBERTa-FT_logit_sum": 11.476, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.4, | |
| "DistilBERT-FT_entropy": 3.3306, | |
| "DistilBERT-FT_logit_sum": 12.398, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 4.551, | |
| "RoBERTa-OTS_logit_sum": 10.809, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.737, | |
| "BERT-lg-OTS_entropy": 5.6092, | |
| "BERT-lg-OTS_logit_sum": 7.565 | |
| }, | |
| { | |
| "question": "What is chemical energy used to produce in plants?", | |
| "gold": "food in the form of sugars", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, chemical energy is used to produce **food in the form of sugars**.", | |
| "concise_raw": "Food (sugars).", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0109, | |
| "RoBERTa-FT_logit_sum": 19.721, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.3976, | |
| "DistilBERT-FT_logit_sum": 15.777, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 3.7872, | |
| "RoBERTa-OTS_logit_sum": 5.855, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.333, | |
| "BERT-lg-OTS_entropy": 1.9957, | |
| "BERT-lg-OTS_logit_sum": 11.724 | |
| }, | |
| { | |
| "question": "Other than the Ijssel, where does the water from the Pannerdens Kanaal redsitrubute?", | |
| "gold": "Nederrijn", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, the water from the Pannerdens Kanaal redistributes into the **IJssel** and the **Nederrijn**.", | |
| "concise_raw": "Nederrijn", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0072, | |
| "RoBERTa-FT_logit_sum": 19.534, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.2956, | |
| "DistilBERT-FT_logit_sum": 14.714, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 3.3176, | |
| "RoBERTa-OTS_logit_sum": 13.062, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.7826, | |
| "BERT-lg-OTS_logit_sum": 19.246 | |
| }, | |
| { | |
| "question": "When did the United States withdraw from the Bretton Woods Accord?", | |
| "gold": "On August 15, 1971", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, the United States withdrew from the Bretton Woods Accord on August 15, 1971.", | |
| "concise_raw": "August 15, 1971.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0334, | |
| "RoBERTa-FT_logit_sum": 19.668, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.8102, | |
| "DistilBERT-FT_logit_sum": 7.99, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.857, | |
| "RoBERTa-OTS_entropy": 0.183, | |
| "RoBERTa-OTS_logit_sum": 15.326, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.857, | |
| "BERT-lg-OTS_entropy": 0.6755, | |
| "BERT-lg-OTS_logit_sum": 17.072 | |
| }, | |
| { | |
| "question": "What would change the rotational inertia of a body under Newton's First Law of Motion?", | |
| "gold": "unbalanced torque", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Newton\u2019s First Law of Motion for rotation states that a body maintains its angular momentum unless acted upon by an unbalanced torque. Rotational inertia (moment of inertia) is a property of the body that depends on its mass and how that mass is distributed relative to the axis of rotation.\n\nUnder Newton\u2019s First Law, if no unbalanced torque acts on the body, its **angular momentum** remains constant. However, rotational inertia itself is not a conserved quantity; it is a geometric property of the mass distribution.\n\nTherefore, the only thing that would change the", | |
| "concise_raw": "Changing its mass distribution relative to the axis of rotation.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0342, | |
| "RoBERTa-FT_logit_sum": 18.145, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6442, | |
| "DistilBERT-FT_logit_sum": 13.273, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 6.2637, | |
| "RoBERTa-OTS_logit_sum": 6.919, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 2.5373, | |
| "BERT-lg-OTS_logit_sum": 14.298 | |
| }, | |
| { | |
| "question": "What measure of a computational problem broadly defines the inherent difficulty of the solution?", | |
| "gold": "if its solution requires significant resources", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the measure that broadly defines the inherent difficulty of a solution is the **amount of resources needed** (such as time and storage) required to solve it, regardless of the algorithm used.", | |
| "concise_raw": "Computational complexity", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.2, | |
| "RoBERTa-FT_entropy": 1.3145, | |
| "RoBERTa-FT_logit_sum": 7.489, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.087, | |
| "DistilBERT-FT_entropy": 4.0776, | |
| "DistilBERT-FT_logit_sum": 5.047, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.2, | |
| "RoBERTa-OTS_entropy": 3.8007, | |
| "RoBERTa-OTS_logit_sum": 10.107, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.2, | |
| "BERT-lg-OTS_entropy": 3.6828, | |
| "BERT-lg-OTS_logit_sum": 13.266 | |
| }, | |
| { | |
| "question": " In the 2009 Commission v Italy, case, the Court of Justice held that an Italian low prohibiting what infringed article 34?", | |
| "gold": "motorcycles or mopeds pulling trailers", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the 2003 case *Commission v Italy* involved a law requiring cocoa products with other vegetable fats to be labelled as \"chocolate substitute\" rather than \"chocolate.\" However, the question asks about the **2009** *Commission v Italy* case.\n\nThe text you provided does not include details about the 2009 case. Therefore, based solely on the given context, the answer is:\n\n**The context does not provide information about the 2009 Commission v Italy case.**", | |
| "concise_raw": "Labelling cocoa products with vegetable fats as \"chocolate substitute\".", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 2.507, | |
| "RoBERTa-FT_logit_sum": 11.714, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 6.0606, | |
| "DistilBERT-FT_logit_sum": 4.485, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.0132, | |
| "RoBERTa-OTS_logit_sum": 5.396, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 5.3955, | |
| "BERT-lg-OTS_logit_sum": 6.739 | |
| }, | |
| { | |
| "question": "The Art Deco style of glassware is represented by which artist?", | |
| "gold": "Ren\u00e9 Lalique", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, the Art Deco style of glassware is represented by Ren\u00e9 Lalique.", | |
| "concise_raw": "Ren\u00e9 Lalique", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0167, | |
| "RoBERTa-FT_logit_sum": 18.506, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.5, | |
| "DistilBERT-FT_entropy": 0.6077, | |
| "DistilBERT-FT_logit_sum": 12.601, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.2451, | |
| "RoBERTa-OTS_logit_sum": 13.101, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.5, | |
| "BERT-lg-OTS_entropy": 0.2803, | |
| "BERT-lg-OTS_logit_sum": 17.679 | |
| }, | |
| { | |
| "question": "How does the secondary theory say most cpDNA replicates?", | |
| "gold": "homologous recombination", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the secondary theory says most cpDNA replicates through **homologous recombination**.", | |
| "concise_raw": "Homologous recombination.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0037, | |
| "RoBERTa-FT_logit_sum": 18.452, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.2463, | |
| "DistilBERT-FT_logit_sum": 15.173, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.8, | |
| "RoBERTa-OTS_entropy": 2.3832, | |
| "RoBERTa-OTS_logit_sum": 14.311, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.8, | |
| "BERT-lg-OTS_entropy": 3.3802, | |
| "BERT-lg-OTS_logit_sum": 12.928 | |
| }, | |
| { | |
| "question": "When was the current parliament of Scotland convened?", | |
| "gold": "Following a referendum in 1997", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the current Parliament of Scotland was convened by the Scotland Act 1998.", | |
| "concise_raw": "12 May 1999", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 0.218, | |
| "RoBERTa-FT_logit_sum": 12.715, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 3.0188, | |
| "DistilBERT-FT_logit_sum": 5.343, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 0.5404, | |
| "RoBERTa-OTS_logit_sum": 11.671, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 0.2868, | |
| "BERT-lg-OTS_logit_sum": 13.854 | |
| }, | |
| { | |
| "question": "What public policy school found it's home in the building that Ludwig Mies van der Rohe designed?", | |
| "gold": "Harris School of Public Policy Studies", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, the building designed by Ludwig Mies van der Rohe was for the university's School of Social Service Administration, not the public policy school. The building that became the home of the Harris School of Public Policy Studies was designed by Edward Durrell Stone.\n\nTherefore, the public policy school that found its home in the building designed by Edward Durrell Stone is the **Harris School of Public Policy Studies**.", | |
| "concise_raw": "Harris School of Public Policy Studies", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0417, | |
| "RoBERTa-FT_logit_sum": 13.922, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.8383, | |
| "DistilBERT-FT_logit_sum": 14.498, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 0.699, | |
| "RoBERTa-OTS_logit_sum": 9.305, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.0056, | |
| "BERT-lg-OTS_logit_sum": 12.978 | |
| }, | |
| { | |
| "question": "Why is it important to precisely date rocks within the stratigraphic section? ", | |
| "gold": "provide better absolute bounds on the timing and rates of deposition", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "It is important to precisely date rocks within the stratigraphic section in order to provide better absolute bounds on the timing and rates of deposition.", | |
| "concise_raw": "To provide absolute bounds on timing and rates of deposition.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0346, | |
| "RoBERTa-FT_logit_sum": 19.864, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.1084, | |
| "DistilBERT-FT_logit_sum": 9.985, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.952, | |
| "RoBERTa-OTS_entropy": 1.9818, | |
| "RoBERTa-OTS_logit_sum": 13.866, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.952, | |
| "BERT-lg-OTS_entropy": 2.8059, | |
| "BERT-lg-OTS_logit_sum": 14.483 | |
| }, | |
| { | |
| "question": "When was the Imperial Library Directorate established?", | |
| "gold": "1273", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Imperial Library Directorate was established in **1273**.", | |
| "concise_raw": "1273", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0098, | |
| "RoBERTa-FT_logit_sum": 20.38, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.7531, | |
| "DistilBERT-FT_logit_sum": 14.341, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.4006, | |
| "RoBERTa-OTS_logit_sum": 14.012, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.7064, | |
| "BERT-lg-OTS_logit_sum": 13.548 | |
| }, | |
| { | |
| "question": "When did the Bantu expansion reach the area from West-Central Africa?", | |
| "gold": "By the first millennium AD", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided context, the Bantu expansion reached the area from West-Central Africa by the first millennium AD.", | |
| "concise_raw": "By the first millennium AD.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0157, | |
| "RoBERTa-FT_logit_sum": 20.03, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.5731, | |
| "DistilBERT-FT_logit_sum": 7.857, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.857, | |
| "RoBERTa-OTS_entropy": 1.7855, | |
| "RoBERTa-OTS_logit_sum": 14.422, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.0037, | |
| "BERT-lg-OTS_logit_sum": 14.886 | |
| }, | |
| { | |
| "question": "What was the Harvard endowment total in 2011?", | |
| "gold": "$32 billion", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Harvard endowment total in 2011 was **$32 billion**.", | |
| "concise_raw": "$32 billion", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0031, | |
| "RoBERTa-FT_logit_sum": 19.79, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.9657, | |
| "DistilBERT-FT_logit_sum": 14.531, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.3225, | |
| "RoBERTa-OTS_logit_sum": 15.416, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.9642, | |
| "BERT-lg-OTS_logit_sum": 15.614 | |
| }, | |
| { | |
| "question": "What has lately been being viewed as a fundamental status of member state nationals by the Court of Justice?", | |
| "gold": "Citizenship of the EU", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the answer is **Citizenship of the EU**.", | |
| "concise_raw": "Citizenship of the EU", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0114, | |
| "RoBERTa-FT_logit_sum": 18.25, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.2321, | |
| "DistilBERT-FT_logit_sum": 15.631, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 0.8486, | |
| "RoBERTa-OTS_logit_sum": 7.776, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.5, | |
| "BERT-lg-OTS_entropy": 1.362, | |
| "BERT-lg-OTS_logit_sum": 8.984 | |
| }, | |
| { | |
| "question": "What choice did French have for surrendering land?", | |
| "gold": "continental North American possessions east of the Mississippi or the Caribbean islands of Guadeloupe and Martinique", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, the British offered France the choice of surrendering either its continental North American possessions east of the Mississippi or the Caribbean islands of Guadeloupe and Martinique.", | |
| "concise_raw": "Continental North America east of the Mississippi or Caribbean islands.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.066, | |
| "RoBERTa-FT_logit_sum": 15.489, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.1645, | |
| "DistilBERT-FT_logit_sum": 15.182, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.609, | |
| "RoBERTa-OTS_entropy": 5.9796, | |
| "RoBERTa-OTS_logit_sum": 2.254, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.933, | |
| "BERT-lg-OTS_entropy": 4.9266, | |
| "BERT-lg-OTS_logit_sum": 7.587 | |
| }, | |
| { | |
| "question": "When was the debut of the 1983 special called The Five Doctors?", | |
| "gold": "23 November", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The debut of the 1983 special *The Five Doctors* was on 23 November 1983 on a number of PBS stations.", | |
| "concise_raw": "23 November 1983", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.013, | |
| "RoBERTa-FT_logit_sum": 19.874, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.5983, | |
| "DistilBERT-FT_logit_sum": 12.402, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.8, | |
| "RoBERTa-OTS_entropy": 0.3176, | |
| "RoBERTa-OTS_logit_sum": 15.152, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.8, | |
| "BERT-lg-OTS_entropy": 0.4786, | |
| "BERT-lg-OTS_logit_sum": 15.504 | |
| }, | |
| { | |
| "question": "A language solved in quadratic time implies the use of what type of Turing machine?", | |
| "gold": "single-tape Turing machines", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, a language that requires quadratic time to solve is specifically associated with the **single-tape Turing machine** model. \n\nThe example given states that the language {xx | x is any binary string} requires quadratic time on a single-tape Turing machine, whereas it can be solved in linear time on a multi-tape Turing machine. \n\nSo, the answer is: \n\n**Single-tape Turing machine**", | |
| "concise_raw": "Single-tape Turing machine.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.5, | |
| "RoBERTa-FT_entropy": 2.0417, | |
| "RoBERTa-FT_logit_sum": 12.983, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.286, | |
| "DistilBERT-FT_entropy": 1.3079, | |
| "DistilBERT-FT_logit_sum": 13.141, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.174, | |
| "RoBERTa-OTS_entropy": 4.5432, | |
| "RoBERTa-OTS_logit_sum": 10.256, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 3.9088, | |
| "BERT-lg-OTS_logit_sum": 13.702 | |
| }, | |
| { | |
| "question": "Construction takes place on location for who?", | |
| "gold": "a known client", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, construction takes place on location for **a known client**.", | |
| "concise_raw": "a known client", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0379, | |
| "RoBERTa-FT_logit_sum": 15.253, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.4051, | |
| "DistilBERT-FT_logit_sum": 11.806, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.2731, | |
| "RoBERTa-OTS_logit_sum": 10.161, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.0091, | |
| "BERT-lg-OTS_logit_sum": 12.35 | |
| }, | |
| { | |
| "question": "When did Luther publish On the Bondage of the Will?", | |
| "gold": "1525", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided text, Luther published *On the Bondage of the Will* in **1525**.", | |
| "concise_raw": "1525", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0106, | |
| "RoBERTa-FT_logit_sum": 20.653, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6331, | |
| "DistilBERT-FT_logit_sum": 14.1, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.4329, | |
| "RoBERTa-OTS_logit_sum": 15.498, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.6242, | |
| "BERT-lg-OTS_logit_sum": 14.957 | |
| }, | |
| { | |
| "question": "What natural phenomenon did Tesla create artificially? ", | |
| "gold": "lightning", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Tesla created artificial lightning.", | |
| "concise_raw": "Lightning", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0012, | |
| "RoBERTa-FT_logit_sum": 15.99, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.2114, | |
| "DistilBERT-FT_logit_sum": 12.25, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.2573, | |
| "RoBERTa-OTS_logit_sum": 11.822, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.0344, | |
| "BERT-lg-OTS_logit_sum": 15.271 | |
| }, | |
| { | |
| "question": "A function problem is an example of what?", | |
| "gold": "a computational problem", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "A function problem is an example of a **computational problem**.", | |
| "concise_raw": "A computational problem.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.6033, | |
| "RoBERTa-FT_logit_sum": 13.555, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.7309, | |
| "DistilBERT-FT_logit_sum": 11.19, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.572, | |
| "RoBERTa-OTS_logit_sum": 14.135, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.8893, | |
| "BERT-lg-OTS_logit_sum": 14.489 | |
| }, | |
| { | |
| "question": "What do supporters of Islamism believe their views reflect?", | |
| "gold": "Islam", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, supporters of Islamism believe their views reflect Islam.", | |
| "concise_raw": "Islam", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0311, | |
| "RoBERTa-FT_logit_sum": 8.882, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6239, | |
| "DistilBERT-FT_logit_sum": 11.244, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.253, | |
| "RoBERTa-OTS_logit_sum": 11.128, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.2583, | |
| "BERT-lg-OTS_logit_sum": 12.479 | |
| }, | |
| { | |
| "question": "What is Norman art's most well known piece?", | |
| "gold": "Bayeux Tapestry", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Norman art's most well known piece is the **Bayeux Tapestry**.", | |
| "concise_raw": "Bayeux Tapestry", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0076, | |
| "RoBERTa-FT_logit_sum": 18.724, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.5465, | |
| "DistilBERT-FT_logit_sum": 16.146, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.0783, | |
| "RoBERTa-OTS_logit_sum": 15.324, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.7098, | |
| "BERT-lg-OTS_logit_sum": 15.612 | |
| }, | |
| { | |
| "question": "What company reached a deal to also stream its ABC affiliates?", | |
| "gold": "Hearst Television", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, the company that reached a deal to also stream its ABC affiliates is **Hearst Television**.", | |
| "concise_raw": "Hearst Television", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0052, | |
| "RoBERTa-FT_logit_sum": 17.775, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.8121, | |
| "DistilBERT-FT_logit_sum": 14.993, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.0578, | |
| "RoBERTa-OTS_logit_sum": 14.059, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.4956, | |
| "BERT-lg-OTS_logit_sum": 14.378 | |
| }, | |
| { | |
| "question": "Where by mass is oxygen a major part?", | |
| "gold": "world's oceans", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, oxygen is a major part by mass of:\n\n- The Earth's crust (49.2%)\n- The world's oceans (88.8%)", | |
| "concise_raw": "Earth's crust and oceans.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.5121, | |
| "RoBERTa-FT_logit_sum": 17.343, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.4, | |
| "DistilBERT-FT_entropy": 0.1912, | |
| "DistilBERT-FT_logit_sum": 14.177, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 4.4404, | |
| "RoBERTa-OTS_logit_sum": 9.037, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 3.9654, | |
| "BERT-lg-OTS_logit_sum": 8.759 | |
| }, | |
| { | |
| "question": "Which lineage includes land plants?", | |
| "gold": "the green chloroplast lineage", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the green chloroplast lineage (chloroplastidan) includes land plants.", | |
| "concise_raw": "green chloroplast lineage", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.221, | |
| "RoBERTa-FT_logit_sum": 17.008, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.357, | |
| "DistilBERT-FT_logit_sum": 9.937, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.8, | |
| "RoBERTa-OTS_entropy": 2.8615, | |
| "RoBERTa-OTS_logit_sum": 14.327, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.8, | |
| "BERT-lg-OTS_entropy": 2.763, | |
| "BERT-lg-OTS_logit_sum": 15.37 | |
| }, | |
| { | |
| "question": "To whom has the Antwerp City Hall doors in the V&A collection been attributed?", | |
| "gold": "Hans Vredeman de Vries", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The Antwerp City Hall doors in the V&A collection have been attributed to Hans Vredeman de Vries.", | |
| "concise_raw": "Hans Vredeman de Vries", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0424, | |
| "RoBERTa-FT_logit_sum": 20.213, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.7724, | |
| "DistilBERT-FT_logit_sum": 9.905, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.1604, | |
| "RoBERTa-OTS_logit_sum": 17.601, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.3076, | |
| "BERT-lg-OTS_logit_sum": 17.191 | |
| }, | |
| { | |
| "question": "The sculpture of Amida Nyorai that is included in the V&A's Japanese art collection is dated to which century?", | |
| "gold": "13th", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, the sculpture of Amida Nyorai is dated to the **13th century**.", | |
| "concise_raw": "13th century", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0072, | |
| "RoBERTa-FT_logit_sum": 20.127, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6044, | |
| "DistilBERT-FT_logit_sum": 11.427, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.0499, | |
| "RoBERTa-OTS_logit_sum": 15.823, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 2.7671, | |
| "BERT-lg-OTS_logit_sum": 14.721 | |
| }, | |
| { | |
| "question": "What followed the late local programming after Super Bowl 50?", | |
| "gold": "The Late Late Show with James Corden.", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the answer is:\n\n**a special episode of The Late Late Show with James Corden**", | |
| "concise_raw": "A special episode of The Late Late Show with James Corden.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 1.5691, | |
| "RoBERTa-FT_logit_sum": 10.388, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 3.3615, | |
| "DistilBERT-FT_logit_sum": 5.531, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 4.4588, | |
| "RoBERTa-OTS_logit_sum": 4.309, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.8, | |
| "BERT-lg-OTS_entropy": 5.4303, | |
| "BERT-lg-OTS_logit_sum": -1.958 | |
| }, | |
| { | |
| "question": "How much windblown dust leaves the Sahara each year?", | |
| "gold": "182 million tons", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the amount of windblown dust that leaves the Sahara each year is **182 million tons**.", | |
| "concise_raw": "182 million tons", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0128, | |
| "RoBERTa-FT_logit_sum": 15.048, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4758, | |
| "DistilBERT-FT_logit_sum": 14.948, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.3432, | |
| "RoBERTa-OTS_logit_sum": 8.022, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.9469, | |
| "BERT-lg-OTS_logit_sum": 15.598 | |
| }, | |
| { | |
| "question": "Is the Pope's confessor a Bishop?", | |
| "gold": "not always", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the answer is **no**.\n\nThe text explicitly states that the Pope's confessor \"is not always a bishop\" and, due to the hierarchical structure of the Roman Church, \"can not be his equal in authority.\" Therefore, while a confessor could be a bishop in other circumstances, the Pope's confessor is typically a priest or a religious brother, not a bishop.", | |
| "concise_raw": "No.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0776, | |
| "RoBERTa-FT_logit_sum": 19.11, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.8216, | |
| "DistilBERT-FT_logit_sum": 12.065, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.8, | |
| "RoBERTa-OTS_entropy": 4.7985, | |
| "RoBERTa-OTS_logit_sum": 12.313, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.8, | |
| "BERT-lg-OTS_entropy": 5.9349, | |
| "BERT-lg-OTS_logit_sum": 5.871 | |
| }, | |
| { | |
| "question": "What can rubisco do by mistake?", | |
| "gold": "add O2 instead of CO2 to RuBP", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, rubisco can accidentally add **O2** instead of CO2 to RuBP.", | |
| "concise_raw": "Add O2 instead of CO2 to RuBP.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.2672, | |
| "RoBERTa-FT_logit_sum": 10.932, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.5695, | |
| "DistilBERT-FT_logit_sum": 14.157, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.4838, | |
| "RoBERTa-OTS_logit_sum": 11.147, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.0145, | |
| "BERT-lg-OTS_logit_sum": 11.125 | |
| }, | |
| { | |
| "question": "What are the biggest burdens?", | |
| "gold": "diseases like malaria, HIV/AIDS, pneumonia, diarrhoea and malnutrition", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the biggest burdens are **preventable diseases like malaria, HIV/AIDS, pneumonia, diarrhoea and malnutrition**.", | |
| "concise_raw": "Preventable diseases like malaria, HIV/AIDS, pneumonia, diarrhoea and malnutrition.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0144, | |
| "RoBERTa-FT_logit_sum": 19.255, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.824, | |
| "DistilBERT-FT_entropy": 0.3139, | |
| "DistilBERT-FT_logit_sum": 15.723, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.941, | |
| "RoBERTa-OTS_entropy": 1.9783, | |
| "RoBERTa-OTS_logit_sum": 14.533, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.2, | |
| "BERT-lg-OTS_entropy": 1.5752, | |
| "BERT-lg-OTS_logit_sum": 14.4 | |
| }, | |
| { | |
| "question": "How many of the schools in Newcastle are independent? ", | |
| "gold": "seven", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, there are **seven** independent schools with sixth forms in Newcastle.", | |
| "concise_raw": "Seven.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0044, | |
| "RoBERTa-FT_logit_sum": 14.731, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.3147, | |
| "DistilBERT-FT_logit_sum": 12.517, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.2656, | |
| "RoBERTa-OTS_logit_sum": 9.239, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.692, | |
| "BERT-lg-OTS_logit_sum": 8.718 | |
| }, | |
| { | |
| "question": "What had the Yuan used to print its money before bronze plates?", | |
| "gold": "woodblocks", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Yuan used **woodblocks** to print its money before switching to bronze plates in 1275.", | |
| "concise_raw": "Woodblocks", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0089, | |
| "RoBERTa-FT_logit_sum": 18.923, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4664, | |
| "DistilBERT-FT_logit_sum": 15.809, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.9252, | |
| "RoBERTa-OTS_logit_sum": 12.623, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.107, | |
| "BERT-lg-OTS_logit_sum": 18.75 | |
| }, | |
| { | |
| "question": "What were these indulgences supposed to grant the giver?", | |
| "gold": "salvation", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, indulgences were supposed to grant the giver (the buyer) absolution from all punishments and salvation.", | |
| "concise_raw": "Absolution from all punishments and salvation.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0036, | |
| "RoBERTa-FT_logit_sum": 16.288, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.2225, | |
| "DistilBERT-FT_logit_sum": 11.606, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.286, | |
| "RoBERTa-OTS_entropy": 0.677, | |
| "RoBERTa-OTS_logit_sum": 16.212, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.286, | |
| "BERT-lg-OTS_entropy": 1.697, | |
| "BERT-lg-OTS_logit_sum": 14.541 | |
| }, | |
| { | |
| "question": "What is the greatest number of members a board of trustees can have?", | |
| "gold": "nine", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The Book of Discipline states that a board of trustees must have at least three members and no more than nine members. \n\nTherefore, the greatest number of members a board of trustees can have is **nine**.", | |
| "concise_raw": "9", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.051, | |
| "RoBERTa-FT_logit_sum": 14.381, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4475, | |
| "DistilBERT-FT_logit_sum": 12.813, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 3.5524, | |
| "RoBERTa-OTS_logit_sum": 8.322, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.5507, | |
| "BERT-lg-OTS_logit_sum": 13.103 | |
| }, | |
| { | |
| "question": "What scripture did Luther use to back up his opinion that churchmen were not infallible?", | |
| "gold": "Matthew 16:18", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, Luther used **Matthew 16:18** to back up his opinion that churchmen were not infallible.", | |
| "concise_raw": "Matthew 16:18", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0375, | |
| "RoBERTa-FT_logit_sum": 20.45, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.4, | |
| "DistilBERT-FT_entropy": 1.5178, | |
| "DistilBERT-FT_logit_sum": 12.723, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.0037, | |
| "RoBERTa-OTS_logit_sum": 16.095, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.4, | |
| "BERT-lg-OTS_entropy": 0.418, | |
| "BERT-lg-OTS_logit_sum": 16.744 | |
| }, | |
| { | |
| "question": "What Universal trailer debuted during the Super Bowl?", | |
| "gold": "Jason Bourne", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Universal trailer that debuted during the Super Bowl was **Jason Bourne**.", | |
| "concise_raw": "Jason Bourne", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0048, | |
| "RoBERTa-FT_logit_sum": 18.625, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.9021, | |
| "DistilBERT-FT_logit_sum": 13.922, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.9796, | |
| "RoBERTa-OTS_logit_sum": 11.097, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.6741, | |
| "BERT-lg-OTS_logit_sum": 14.122 | |
| }, | |
| { | |
| "question": "To what place did he bring the injured pigeons to take care of them?", | |
| "gold": "hotel room", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, he brought the injured pigeons to his **hotel room**.", | |
| "concise_raw": "His hotel room", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0148, | |
| "RoBERTa-FT_logit_sum": 19.967, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.2961, | |
| "DistilBERT-FT_logit_sum": 15.246, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.8, | |
| "RoBERTa-OTS_entropy": 2.1664, | |
| "RoBERTa-OTS_logit_sum": 13.048, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.8, | |
| "BERT-lg-OTS_entropy": 2.2665, | |
| "BERT-lg-OTS_logit_sum": 12.326 | |
| }, | |
| { | |
| "question": "What was the name of the upgraded Saturn I called?", | |
| "gold": "Saturn IB", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The upgraded Saturn I was called the **Saturn IB**.", | |
| "concise_raw": "Saturn IB", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0582, | |
| "RoBERTa-FT_logit_sum": 16.178, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6188, | |
| "DistilBERT-FT_logit_sum": 14.95, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.8267, | |
| "RoBERTa-OTS_logit_sum": 14.405, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.1381, | |
| "BERT-lg-OTS_logit_sum": 14.482 | |
| }, | |
| { | |
| "question": "The Mitchell Tower is designed to look like what Oxford tower?", | |
| "gold": "Oxford's Magdalen Tower", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Mitchell Tower is modeled after Oxford's Magdalen Tower.\n\n**Answer:** Magdalen Tower", | |
| "concise_raw": "Magdalen Tower", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.042, | |
| "RoBERTa-FT_logit_sum": 18.489, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.571, | |
| "DistilBERT-FT_entropy": 0.4916, | |
| "DistilBERT-FT_logit_sum": 11.743, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.8, | |
| "RoBERTa-OTS_entropy": 0.8878, | |
| "RoBERTa-OTS_logit_sum": 15.055, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.8, | |
| "BERT-lg-OTS_entropy": 0.6942, | |
| "BERT-lg-OTS_logit_sum": 16.165 | |
| }, | |
| { | |
| "question": "What was the daily distance walked by Tesla?", | |
| "gold": "between 8 to 10 miles per day", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Tesla walked between 8 to 10 miles per day.", | |
| "concise_raw": "8 to 10 miles", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0056, | |
| "RoBERTa-FT_logit_sum": 19.299, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.3689, | |
| "DistilBERT-FT_logit_sum": 12.53, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.727, | |
| "RoBERTa-OTS_entropy": 1.9409, | |
| "RoBERTa-OTS_logit_sum": 14.964, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.833, | |
| "BERT-lg-OTS_entropy": 1.1762, | |
| "BERT-lg-OTS_logit_sum": 15.443 | |
| }, | |
| { | |
| "question": "Who sang the national anthem?", | |
| "gold": "Lady Gaga", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Lady Gaga.", | |
| "concise_raw": "Lady Gaga", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 1, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0361, | |
| "RoBERTa-FT_logit_sum": 13.923, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4362, | |
| "DistilBERT-FT_logit_sum": 13.751, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.8084, | |
| "RoBERTa-OTS_logit_sum": 7.901, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.0941, | |
| "BERT-lg-OTS_logit_sum": 13.677 | |
| }, | |
| { | |
| "question": "What is another term for rotors?", | |
| "gold": "rotating discs", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, another term for rotors is **rotating discs**.", | |
| "concise_raw": "rotating discs", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0047, | |
| "RoBERTa-FT_logit_sum": 19.57, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4363, | |
| "DistilBERT-FT_logit_sum": 15.243, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.3081, | |
| "RoBERTa-OTS_logit_sum": 15.328, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.3101, | |
| "BERT-lg-OTS_logit_sum": 17.796 | |
| }, | |
| { | |
| "question": "How quick was the effect of Luther's preaching?", | |
| "gold": "immediate", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, the effect of Luther's preaching was immediate. The text states, \"The effect of Luther's intervention was immediate,\" and specifies that after only the sixth sermon, people were already being brought back to the truth.", | |
| "concise_raw": "Immediate", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0117, | |
| "RoBERTa-FT_logit_sum": 16.603, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.409, | |
| "DistilBERT-FT_logit_sum": 11.55, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.9957, | |
| "RoBERTa-OTS_logit_sum": 9.027, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.336, | |
| "BERT-lg-OTS_logit_sum": 10.357 | |
| }, | |
| { | |
| "question": "What type of movies were produced in Jacksonville's 30 studios?", | |
| "gold": "silent film", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the studios produced **silent films**.", | |
| "concise_raw": "Silent films.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.5, | |
| "RoBERTa-FT_entropy": 0.005, | |
| "RoBERTa-FT_logit_sum": 17.663, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.5, | |
| "DistilBERT-FT_entropy": 0.8567, | |
| "DistilBERT-FT_logit_sum": 14.989, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.5, | |
| "RoBERTa-OTS_entropy": 2.674, | |
| "RoBERTa-OTS_logit_sum": 9.075, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.5, | |
| "BERT-lg-OTS_entropy": 1.2573, | |
| "BERT-lg-OTS_logit_sum": 14.039 | |
| }, | |
| { | |
| "question": "The region was a leader in what event between 2001 - 2007?", | |
| "gold": "the housing bubble", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the region was a leader in the **housing bubble** between 2001 and 2007.", | |
| "concise_raw": "housing bubble", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 1.126, | |
| "RoBERTa-FT_logit_sum": 20.17, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.844, | |
| "DistilBERT-FT_logit_sum": 12.844, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.1679, | |
| "RoBERTa-OTS_logit_sum": 16.407, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.6293, | |
| "BERT-lg-OTS_logit_sum": 14.709 | |
| }, | |
| { | |
| "question": "What type of goals are usually done skirting the law?", | |
| "gold": "social goal", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the type of goals usually done skirting the law are **direct social goals**, such as the provision of medication to the sick or the preservation of a specific tree. These are achieved by directly performing the desired action (e.g., bringing medicine to Iraq or living in a tree to prevent its logging) while openly breaking the law.", | |
| "concise_raw": "Direct social goals.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.5, | |
| "RoBERTa-FT_entropy": 0.0225, | |
| "RoBERTa-FT_logit_sum": 19.731, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.5, | |
| "DistilBERT-FT_entropy": 0.797, | |
| "DistilBERT-FT_logit_sum": 14.451, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.4, | |
| "RoBERTa-OTS_entropy": 1.7693, | |
| "RoBERTa-OTS_logit_sum": 13.805, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.4, | |
| "BERT-lg-OTS_entropy": 1.2582, | |
| "BERT-lg-OTS_logit_sum": 16.065 | |
| }, | |
| { | |
| "question": "Which shaman's proclamation aided Tem\u00fcjin's rise? ", | |
| "gold": "Kokochu", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the shaman whose proclamation aided Tem\u00fcjin's rise was **Kokochu**.", | |
| "concise_raw": "Kokochu", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0035, | |
| "RoBERTa-FT_logit_sum": 16.338, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.3801, | |
| "DistilBERT-FT_logit_sum": 15.643, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.943, | |
| "RoBERTa-OTS_logit_sum": 13.519, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.5988, | |
| "BERT-lg-OTS_logit_sum": 15.574 | |
| }, | |
| { | |
| "question": "When did Torchwood premier?", | |
| "gold": "22 October 2006", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Torchwood premiered on 22 October 2006.", | |
| "concise_raw": "22 October 2006", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0174, | |
| "RoBERTa-FT_logit_sum": 20.004, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4929, | |
| "DistilBERT-FT_logit_sum": 12.261, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.3355, | |
| "RoBERTa-OTS_logit_sum": 13.606, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.9291, | |
| "BERT-lg-OTS_logit_sum": 12.656 | |
| }, | |
| { | |
| "question": "Approximately how many images were digitized during the first year of the digitization project?", | |
| "gold": "15,000", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, approximately **15,000 images** were digitized during the first year of the Factory Project.", | |
| "concise_raw": "15,000 images", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0091, | |
| "RoBERTa-FT_logit_sum": 20.52, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 0.5448, | |
| "DistilBERT-FT_logit_sum": 13.565, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.9023, | |
| "RoBERTa-OTS_logit_sum": 8.929, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 0.7332, | |
| "BERT-lg-OTS_logit_sum": 14.649 | |
| }, | |
| { | |
| "question": "What venue hosted Super Bowl Opening Night?", | |
| "gold": "SAP Center", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the venue that hosted Super Bowl Opening Night was **SAP Center in San Jose**.", | |
| "concise_raw": "SAP Center", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0059, | |
| "RoBERTa-FT_logit_sum": 18.21, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.9987, | |
| "DistilBERT-FT_logit_sum": 14.368, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.441, | |
| "RoBERTa-OTS_logit_sum": 12.541, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.2928, | |
| "BERT-lg-OTS_logit_sum": 15.484 | |
| }, | |
| { | |
| "question": "What is that grace of God which sustains the believers in the journey towards Christian Perfection?", | |
| "gold": "Sanctifying Grace", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the grace of God which sustains the believers in the journey towards Christian Perfection is **Sanctifying Grace**.", | |
| "concise_raw": "Sanctifying Grace", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0032, | |
| "RoBERTa-FT_logit_sum": 19.483, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6519, | |
| "DistilBERT-FT_logit_sum": 13.627, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.5669, | |
| "RoBERTa-OTS_logit_sum": 16.119, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.1193, | |
| "BERT-lg-OTS_logit_sum": 15.837 | |
| }, | |
| { | |
| "question": "When was the last use by Bach of Luther's work?", | |
| "gold": "1735", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the last use by Bach of Luther's work was in **1735**, with the chorale cantata *W\u00e4r Gott nicht mit uns diese Zeit*, BWV 14.", | |
| "concise_raw": "1735", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0128, | |
| "RoBERTa-FT_logit_sum": 20.822, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.1237, | |
| "DistilBERT-FT_logit_sum": 12.008, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.4298, | |
| "RoBERTa-OTS_logit_sum": 14.764, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.442, | |
| "BERT-lg-OTS_logit_sum": 15.393 | |
| }, | |
| { | |
| "question": "When was Tem\u00fcjin's half-brother Begter killed?", | |
| "gold": "during one hunting excursion", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Begter was killed during a hunting excursion.", | |
| "concise_raw": "During a hunting excursion.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.857, | |
| "RoBERTa-FT_entropy": 1.1348, | |
| "RoBERTa-FT_logit_sum": 16.805, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 1.6294, | |
| "DistilBERT-FT_logit_sum": 11.335, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.857, | |
| "RoBERTa-OTS_entropy": 2.2565, | |
| "RoBERTa-OTS_logit_sum": 8.298, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.857, | |
| "BERT-lg-OTS_entropy": 1.5142, | |
| "BERT-lg-OTS_logit_sum": 12.238 | |
| }, | |
| { | |
| "question": "What was the name of the fund setup to help with investing in the community? ", | |
| "gold": "50 fund", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The name of the fund set up to help with investing in the community was the **50 Fund**.", | |
| "concise_raw": "The 50 Fund", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0096, | |
| "RoBERTa-FT_logit_sum": 19.327, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.0371, | |
| "DistilBERT-FT_logit_sum": 14.489, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.706, | |
| "RoBERTa-OTS_logit_sum": 11.469, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.6506, | |
| "BERT-lg-OTS_logit_sum": 12.626 | |
| }, | |
| { | |
| "question": "What kind of memory was Tesla thought to have?", | |
| "gold": "photographic memory", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, Tesla was thought to have a **photographic memory**.", | |
| "concise_raw": "Photographic memory", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0154, | |
| "RoBERTa-FT_logit_sum": 19.661, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6049, | |
| "DistilBERT-FT_logit_sum": 15.6, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 1.7213, | |
| "RoBERTa-OTS_logit_sum": 15.921, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 1.296, | |
| "BERT-lg-OTS_logit_sum": 15.197 | |
| }, | |
| { | |
| "question": "Where according to gross state product does Victoria rank in Australia?", | |
| "gold": "second", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Victoria is ranked second in Australia in terms of gross state product.", | |
| "concise_raw": "Second.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0021, | |
| "RoBERTa-FT_logit_sum": 15.575, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.0127, | |
| "DistilBERT-FT_logit_sum": 7.742, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.9383, | |
| "RoBERTa-OTS_logit_sum": 13.465, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.4514, | |
| "BERT-lg-OTS_logit_sum": 14.159 | |
| }, | |
| { | |
| "question": "How many times has the South Florida/Miami area hosted the Super Bowl?", | |
| "gold": "10", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the South Florida/Miami area has hosted the Super Bowl **10 times**.", | |
| "concise_raw": "10 times.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0039, | |
| "RoBERTa-FT_logit_sum": 15.815, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4404, | |
| "DistilBERT-FT_logit_sum": 12.041, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.1973, | |
| "RoBERTa-OTS_logit_sum": 11.706, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.7012, | |
| "BERT-lg-OTS_logit_sum": 8.272 | |
| }, | |
| { | |
| "question": "Besides drugs, what else do specialty pharmacies provide?", | |
| "gold": "lab monitoring, adherence counseling, and assist patients with cost-containment strategies needed to obtain their expensive specialty drugs", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, besides drugs, specialty pharmacies provide lab monitoring, adherence counseling, and assistance with cost-containment strategies.", | |
| "concise_raw": "Lab monitoring, adherence counseling, and cost-containment strategies.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.211, | |
| "RoBERTa-FT_entropy": 2.0774, | |
| "RoBERTa-FT_logit_sum": 13.733, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.519, | |
| "DistilBERT-FT_entropy": 1.9524, | |
| "DistilBERT-FT_logit_sum": 6.01, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.615, | |
| "RoBERTa-OTS_entropy": 1.9963, | |
| "RoBERTa-OTS_logit_sum": 13.637, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.211, | |
| "BERT-lg-OTS_entropy": 1.4621, | |
| "BERT-lg-OTS_logit_sum": 18.455 | |
| }, | |
| { | |
| "question": "How much did the gross agricultural product increase from 2003-04?", | |
| "gold": "$8.7 billion", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the gross value of Victorian agricultural production increased by **17%** during 2003\u201304.", | |
| "concise_raw": "17%", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 4.7513, | |
| "RoBERTa-FT_logit_sum": -4.892, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 2.2867, | |
| "DistilBERT-FT_logit_sum": 9.691, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.2507, | |
| "RoBERTa-OTS_logit_sum": 11.777, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 2.088, | |
| "BERT-lg-OTS_logit_sum": 14.414 | |
| }, | |
| { | |
| "question": "Which duty do some people believe civil disobedients have?", | |
| "gold": "submit to the punishment prescribed by law", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, some people believe civil disobedients have a duty to submit to the punishment prescribed by law.", | |
| "concise_raw": "To submit to punishment.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0607, | |
| "RoBERTa-FT_logit_sum": 15.828, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4339, | |
| "DistilBERT-FT_logit_sum": 11.508, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.3562, | |
| "RoBERTa-OTS_logit_sum": 12.649, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.923, | |
| "BERT-lg-OTS_entropy": 3.1127, | |
| "BERT-lg-OTS_logit_sum": 13.259 | |
| }, | |
| { | |
| "question": "On what game console was the CBS Sports app available?", | |
| "gold": "Xbox One", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the CBS Sports app was available on the **Xbox One**.", | |
| "concise_raw": "Xbox One", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0204, | |
| "RoBERTa-FT_logit_sum": 16.666, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.2414, | |
| "DistilBERT-FT_logit_sum": 12.852, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.3346, | |
| "RoBERTa-OTS_logit_sum": 13.242, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.571, | |
| "BERT-lg-OTS_logit_sum": 14.464 | |
| }, | |
| { | |
| "question": "What is the term for a mathematical model that theoretically represents a general computing machine?", | |
| "gold": "A Turing machine", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The term is a **Turing machine**.", | |
| "concise_raw": "Turing machine", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.6933, | |
| "RoBERTa-FT_logit_sum": 3.437, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.0324, | |
| "DistilBERT-FT_logit_sum": 9.975, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 3.4623, | |
| "RoBERTa-OTS_logit_sum": 5.279, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.7477, | |
| "BERT-lg-OTS_logit_sum": 12.334 | |
| }, | |
| { | |
| "question": "What civilization did the pottery belong to?", | |
| "gold": "Timucua", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the pottery belonged to the **Mocama** (a coastal subgroup of the Timucua people).", | |
| "concise_raw": "Timucua", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.008, | |
| "RoBERTa-FT_logit_sum": 19.52, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.9714, | |
| "DistilBERT-FT_logit_sum": 14.247, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 3.8513, | |
| "RoBERTa-OTS_logit_sum": 10.004, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 3.622, | |
| "BERT-lg-OTS_logit_sum": 11.682 | |
| }, | |
| { | |
| "question": "When did President Uhuru Kenyatta sign a Security Law Amendment Bill?", | |
| "gold": "December 2014", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, President Uhuru Kenyatta signed the Security Laws Amendment Bill in **December 2014**.", | |
| "concise_raw": "December 2014", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0222, | |
| "RoBERTa-FT_logit_sum": 19.979, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.5846, | |
| "DistilBERT-FT_logit_sum": 11.472, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.0341, | |
| "RoBERTa-OTS_logit_sum": 14.367, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.4965, | |
| "BERT-lg-OTS_logit_sum": 16.324 | |
| }, | |
| { | |
| "question": "Why the narrow part of St. John's River called Cowford?", | |
| "gold": "cattle were brought across the river there.", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided text, the narrow part of the St. Johns River was called Cowford because cattle were brought across the river there.", | |
| "concise_raw": "Cattle were brought across there.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.1813, | |
| "RoBERTa-FT_logit_sum": 16.143, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 3.5059, | |
| "DistilBERT-FT_logit_sum": 2.033, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.738, | |
| "RoBERTa-OTS_logit_sum": 12.727, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.1051, | |
| "BERT-lg-OTS_logit_sum": 14.696 | |
| }, | |
| { | |
| "question": "How much damage does breathing oxygen in space conditions cause?", | |
| "gold": "no damage", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, breathing pure oxygen in space conditions causes **no damage**.\n\nThis is because the total pressure is kept low (around 30 kPa), which results in the oxygen partial pressure in the astronaut's blood being only slightly higher than normal sea-level levels, preventing the toxic effects associated with high-pressure oxygen.", | |
| "concise_raw": "No damage.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0276, | |
| "RoBERTa-FT_logit_sum": 17.357, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.3709, | |
| "DistilBERT-FT_logit_sum": 14.428, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 3.5739, | |
| "RoBERTa-OTS_logit_sum": 7.386, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 3.3744, | |
| "BERT-lg-OTS_logit_sum": 9.633 | |
| }, | |
| { | |
| "question": "In what month and year was the revised Manual of Regulations for Private Schools released?", | |
| "gold": "August 1992", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "August 1992", | |
| "concise_raw": "August 1992", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 1, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.021, | |
| "RoBERTa-FT_logit_sum": 19.993, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.0777, | |
| "DistilBERT-FT_logit_sum": 13.203, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 1.0662, | |
| "RoBERTa-OTS_logit_sum": 7.884, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.8795, | |
| "BERT-lg-OTS_logit_sum": 12.51 | |
| }, | |
| { | |
| "question": "Who played quarterback for the Broncos after Peyton Manning was benched?", | |
| "gold": "Brock Osweiler", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, after Peyton Manning was benched in week 10, backup quarterback **Brock Osweiler** took over as the starter for most of the remainder of the regular season.", | |
| "concise_raw": "Brock Osweiler", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.1488, | |
| "RoBERTa-FT_logit_sum": 18.883, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6572, | |
| "DistilBERT-FT_logit_sum": 13.402, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.3879, | |
| "RoBERTa-OTS_logit_sum": 15.663, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.2584, | |
| "BERT-lg-OTS_logit_sum": 19.04 | |
| }, | |
| { | |
| "question": "How do academic results in former Model C schools compare to other schools?", | |
| "gold": "better", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, former Model C schools tend to produce better academic results than government schools that were formerly reserved for other race groups.", | |
| "concise_raw": "Better than other public schools.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0069, | |
| "RoBERTa-FT_logit_sum": 12.378, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4322, | |
| "DistilBERT-FT_logit_sum": 10.054, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.8663, | |
| "RoBERTa-OTS_logit_sum": 9.115, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.0317, | |
| "BERT-lg-OTS_logit_sum": 12.818 | |
| }, | |
| { | |
| "question": "Which month is the first in the year Parliament takes a two week vacation?", | |
| "gold": "April", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, Parliament takes two-week recesses in April and October. The first in the year is April.\n\nAnswer: April", | |
| "concise_raw": "April", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0021, | |
| "RoBERTa-FT_logit_sum": 15.557, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.9095, | |
| "DistilBERT-FT_logit_sum": 9.436, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.1206, | |
| "RoBERTa-OTS_logit_sum": 10.43, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.2744, | |
| "BERT-lg-OTS_logit_sum": 13.666 | |
| }, | |
| { | |
| "question": "What other series mentioned returned with a plot continuation?", | |
| "gold": "Mission Impossible,", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the other series mentioned that returned with a plot continuation is **Mission Impossible** (specifically, the 1988 continuation).", | |
| "concise_raw": "Mission Impossible", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0121, | |
| "RoBERTa-FT_logit_sum": 15.67, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.9737, | |
| "DistilBERT-FT_logit_sum": 13.218, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.0893, | |
| "RoBERTa-OTS_logit_sum": 10.037, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.2333, | |
| "BERT-lg-OTS_logit_sum": 14.299 | |
| }, | |
| { | |
| "question": "What immune system is activated by the innate response?", | |
| "gold": "adaptive immune system", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided context, the immune system activated by the innate response is the **adaptive immune system**.", | |
| "concise_raw": "Adaptive immune system", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0374, | |
| "RoBERTa-FT_logit_sum": 17.947, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.7907, | |
| "DistilBERT-FT_logit_sum": 13.569, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.4761, | |
| "RoBERTa-OTS_logit_sum": 12.438, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.8291, | |
| "BERT-lg-OTS_logit_sum": 15.096 | |
| }, | |
| { | |
| "question": "What trade was the city an important center of in the 14th century?", | |
| "gold": "wool", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The city was an important centre for the wool trade in the 14th century.", | |
| "concise_raw": "wool trade", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0243, | |
| "RoBERTa-FT_logit_sum": 15.828, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.3246, | |
| "DistilBERT-FT_logit_sum": 11.013, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 1.62, | |
| "RoBERTa-OTS_logit_sum": 13.879, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.2877, | |
| "BERT-lg-OTS_logit_sum": 14.453 | |
| }, | |
| { | |
| "question": "Who established the Confederation of the Rhine?", | |
| "gold": "Napoleon", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Napoleon Bonaparte established the Confederation of the Rhine in 1806 as a French client state.", | |
| "concise_raw": "Napoleon Bonaparte", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0318, | |
| "RoBERTa-FT_logit_sum": 13.791, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.3592, | |
| "DistilBERT-FT_logit_sum": 6.573, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 0.1819, | |
| "RoBERTa-OTS_logit_sum": 13.929, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 0.0792, | |
| "BERT-lg-OTS_logit_sum": 15.718 | |
| }, | |
| { | |
| "question": "Who is viewed as the first modern geologist?", | |
| "gold": "James Hutton", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "James Hutton is viewed as the first modern geologist.", | |
| "concise_raw": "James Hutton", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.004, | |
| "RoBERTa-FT_logit_sum": 20.461, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.342, | |
| "DistilBERT-FT_logit_sum": 13.714, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.0865, | |
| "RoBERTa-OTS_logit_sum": 14.58, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.041, | |
| "BERT-lg-OTS_logit_sum": 18.629 | |
| }, | |
| { | |
| "question": "What did he work on refining until the end of his life?", | |
| "gold": "the translation", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, he worked on refining the translation of the Bible until the end of his life.", | |
| "concise_raw": "His German translation of the Bible.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.1111, | |
| "RoBERTa-FT_logit_sum": 17.19, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.5995, | |
| "DistilBERT-FT_logit_sum": 10.564, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.5, | |
| "RoBERTa-OTS_entropy": 1.368, | |
| "RoBERTa-OTS_logit_sum": 13.389, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.5, | |
| "BERT-lg-OTS_entropy": 1.1938, | |
| "BERT-lg-OTS_logit_sum": 15.909 | |
| }, | |
| { | |
| "question": "Who did the attacks resonate most with?", | |
| "gold": "conservative Muslims", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The attacks resonated most with conservative Muslims.", | |
| "concise_raw": "Conservative Muslims", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0417, | |
| "RoBERTa-FT_logit_sum": 19.468, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6421, | |
| "DistilBERT-FT_logit_sum": 11.504, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.3605, | |
| "RoBERTa-OTS_logit_sum": 14.886, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.4856, | |
| "BERT-lg-OTS_logit_sum": 14.721 | |
| }, | |
| { | |
| "question": "If Roman numerals were used in the naming of the 50th Super Bowl, which one would have been used?", | |
| "gold": "L", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, if Roman numerals were used for the 50th Super Bowl, the answer would be **Super Bowl L**.", | |
| "concise_raw": "L", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 0.1387, | |
| "RoBERTa-FT_logit_sum": 10.12, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 3.2141, | |
| "DistilBERT-FT_logit_sum": 6.015, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.5, | |
| "RoBERTa-OTS_entropy": 1.9367, | |
| "RoBERTa-OTS_logit_sum": 16.154, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.5, | |
| "BERT-lg-OTS_entropy": 2.7702, | |
| "BERT-lg-OTS_logit_sum": 10.621 | |
| }, | |
| { | |
| "question": "When rock folds deep in the Earth it can fold one of two ways, when it buckles downwards it creates what? ", | |
| "gold": "synforms", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, when rock folds deep in the Earth and buckles downwards, it creates a **synform**.", | |
| "concise_raw": "synforms", | |
| "verbose_span": 0, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 0.2942, | |
| "RoBERTa-FT_logit_sum": 17.418, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 0.9066, | |
| "DistilBERT-FT_logit_sum": 11.959, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.584, | |
| "RoBERTa-OTS_logit_sum": 14.125, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 2.2478, | |
| "BERT-lg-OTS_logit_sum": 15.556 | |
| }, | |
| { | |
| "question": "In March 2007, the Mission Council of the South Central jurisdiction approved a 99-year lease on how many acres?", | |
| "gold": "36", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Mission Council approved a 99-year lease on **36 acres**.", | |
| "concise_raw": "36 acres", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0049, | |
| "RoBERTa-FT_logit_sum": 15.662, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.8268, | |
| "DistilBERT-FT_logit_sum": 12.196, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.381, | |
| "RoBERTa-OTS_logit_sum": 6.853, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.5894, | |
| "BERT-lg-OTS_logit_sum": 12.557 | |
| }, | |
| { | |
| "question": "Which type of law makes EU institutions and its member states follow the law?", | |
| "gold": "administrative law", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided text, the type of law that makes EU institutions and its member states follow the law is **administrative law**.", | |
| "concise_raw": "Administrative law", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0075, | |
| "RoBERTa-FT_logit_sum": 14.458, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4137, | |
| "DistilBERT-FT_logit_sum": 13.004, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.8582, | |
| "RoBERTa-OTS_logit_sum": 14.885, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.2925, | |
| "BERT-lg-OTS_logit_sum": 16.189 | |
| }, | |
| { | |
| "question": "What impact does workers working harder have on productivity of a business?", | |
| "gold": "less workers are required", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the Marxian framework you provided, the impact of workers working harder on the productivity of a business is **positive in the short term, but contradictory in the long term.**\n\nHere is the breakdown:\n\n**1. Short-Term Impact (Increase in Absolute Surplus Value)**\nIf workers work harder (i.e., increase the intensity of labor or the speed of work) without a corresponding increase in wages, the business experiences a direct increase in productivity. More output is produced per unit of time using the same amount of capital equipment. In Marxian terms, this increases **absolute surplus va", | |
| "concise_raw": "Increases productivity per worker.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 1.1308, | |
| "RoBERTa-FT_logit_sum": 9.846, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 2.6571, | |
| "DistilBERT-FT_logit_sum": 9.316, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 4.9269, | |
| "RoBERTa-OTS_logit_sum": 7.931, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 6.0541, | |
| "BERT-lg-OTS_logit_sum": 6.944 | |
| }, | |
| { | |
| "question": "What is beta carotene?", | |
| "gold": "a bright red-orange carotenoid", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, beta carotene is a bright red-orange carotenoid found in nearly all chloroplasts, like chlorophyll a.", | |
| "concise_raw": "A bright red-orange carotenoid in chloroplasts.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0073, | |
| "RoBERTa-FT_logit_sum": 19.491, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.571, | |
| "DistilBERT-FT_entropy": 0.7078, | |
| "DistilBERT-FT_logit_sum": 13.036, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.0343, | |
| "RoBERTa-OTS_logit_sum": 16.679, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.571, | |
| "BERT-lg-OTS_entropy": 1.4853, | |
| "BERT-lg-OTS_logit_sum": 13.105 | |
| }, | |
| { | |
| "question": "When would the occupation of allies leave Rhineland?", | |
| "gold": "1935", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the allies left the Rhineland in **1930**.", | |
| "concise_raw": "1930", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 0.0214, | |
| "RoBERTa-FT_logit_sum": 20.725, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 0.9669, | |
| "DistilBERT-FT_logit_sum": 12.047, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 1.9191, | |
| "RoBERTa-OTS_logit_sum": 12.811, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 2.7636, | |
| "BERT-lg-OTS_logit_sum": 14.939 | |
| }, | |
| { | |
| "question": "What type of camera was used to record the Moon landing?", | |
| "gold": "special Apollo TV camera", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the camera used to record the Moon landing was a **special Apollo TV camera**.", | |
| "concise_raw": "Apollo TV camera", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0093, | |
| "RoBERTa-FT_logit_sum": 16.778, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.5098, | |
| "DistilBERT-FT_logit_sum": 15.328, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.857, | |
| "RoBERTa-OTS_entropy": 3.1652, | |
| "RoBERTa-OTS_logit_sum": 12.503, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.9067, | |
| "BERT-lg-OTS_logit_sum": 14.401 | |
| }, | |
| { | |
| "question": "Who challenged the plague theory first?", | |
| "gold": "British bacteriologist J. F. D. Shrewsbury", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the first significant challenge to the plague theory was by **J. F. D. Shrewsbury** in 1970.", | |
| "concise_raw": "J. F. D. Shrewsbury", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.8, | |
| "RoBERTa-FT_entropy": 0.9017, | |
| "RoBERTa-FT_logit_sum": 15.577, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.8, | |
| "DistilBERT-FT_entropy": 1.5757, | |
| "DistilBERT-FT_logit_sum": 13.393, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.8, | |
| "RoBERTa-OTS_entropy": 1.4321, | |
| "RoBERTa-OTS_logit_sum": 13.741, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.8, | |
| "BERT-lg-OTS_entropy": 0.4852, | |
| "BERT-lg-OTS_logit_sum": 16.445 | |
| }, | |
| { | |
| "question": "When did Kenya become an independent country?", | |
| "gold": "1963", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Kenya became an independent country on 12 December 1963.", | |
| "concise_raw": "12 December 1963", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0042, | |
| "RoBERTa-FT_logit_sum": 16.98, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.4861, | |
| "DistilBERT-FT_logit_sum": 9.103, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.5, | |
| "RoBERTa-OTS_entropy": 0.2802, | |
| "RoBERTa-OTS_logit_sum": 15.126, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.5, | |
| "BERT-lg-OTS_entropy": 0.4892, | |
| "BERT-lg-OTS_logit_sum": 15.628 | |
| }, | |
| { | |
| "question": "Aside from being located on the coast, what contributes to Jacksonville's lack of cold weather?", | |
| "gold": "low latitude", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, aside from being located on the coast, Jacksonville's **low latitude** contributes to its lack of cold weather.", | |
| "concise_raw": "Low latitude", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0177, | |
| "RoBERTa-FT_logit_sum": 19.755, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.2056, | |
| "DistilBERT-FT_logit_sum": 14.597, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.7419, | |
| "RoBERTa-OTS_logit_sum": 16.252, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.0029, | |
| "BERT-lg-OTS_logit_sum": 18.023 | |
| }, | |
| { | |
| "question": "What is an example of a measurement within a complexity class that would create a bigger set of problems if the bounds were relaxed?", | |
| "gold": "computation time", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context you provided, a direct example would be:\n\n**DTIME(n\u00b2)** contains **DTIME(n)**, and relaxing the bound from linear time to quadratic time creates a bigger set of problems.\n\nThe hierarchy theorems confirm that this inclusion is **strict** \u2014 meaning there are problems solvable in \\( n^2 \\) time that are *not* solvable in \\( n \\) time. Thus, relaxing the time bound from \\( n \\) to \\( n^2 \\) indeed defines a larger complexity class.", | |
| "concise_raw": "DTIME(n) vs DTIME(n\u00b2).", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.143, | |
| "RoBERTa-FT_entropy": 1.3492, | |
| "RoBERTa-FT_logit_sum": 11.163, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.125, | |
| "DistilBERT-FT_entropy": 3.2128, | |
| "DistilBERT-FT_logit_sum": 9.775, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.143, | |
| "RoBERTa-OTS_entropy": 6.9336, | |
| "RoBERTa-OTS_logit_sum": 7.29, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.5, | |
| "BERT-lg-OTS_entropy": 3.9693, | |
| "BERT-lg-OTS_logit_sum": 11.985 | |
| }, | |
| { | |
| "question": "When did Luther enter into the senate of the Theology faculty of the University of Wittenberg?", | |
| "gold": "21 October 1512", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Luther entered into the senate of the theological faculty of the University of Wittenberg on **21 October 1512**.", | |
| "concise_raw": "21 October 1512", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0441, | |
| "RoBERTa-FT_logit_sum": 20.869, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.064, | |
| "DistilBERT-FT_logit_sum": 11.187, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.2161, | |
| "RoBERTa-OTS_logit_sum": 15.023, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.9898, | |
| "BERT-lg-OTS_logit_sum": 16.798 | |
| }, | |
| { | |
| "question": "If a force is pointing horizontally to the northeast, how many forces can you split the force into?", | |
| "gold": "two", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "We can split it into **two** independent component forces at right angles to each other: \none pointing north and one pointing east. \n\nIn three dimensions, you could also split it into **three** orthogonal components, but since the force is purely horizontal, the vertical component would be zero. \n\nSo the answer depends on context: \n- In a 2D horizontal plane: **2** \n- In full 3D space: **3** (with one component zero) \n\nThe most direct answer from the given description is **2**.", | |
| "concise_raw": "Two forces.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.4121, | |
| "RoBERTa-FT_logit_sum": 11.651, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.7989, | |
| "DistilBERT-FT_logit_sum": 11.929, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 3.0063, | |
| "RoBERTa-OTS_logit_sum": 7.795, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 6.1256, | |
| "BERT-lg-OTS_logit_sum": 6.446 | |
| }, | |
| { | |
| "question": "How many Medieval Warm Period reconstructions covered 1,000+ years?", | |
| "gold": "Ten", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, there were 14 reconstructions mentioned in total, and 10 of them covered 1,000 years or longer. The Medieval Warm Period reconstructions cited were by Crowley & Lowery 2000 and Osborn & Briffa 2006. Since the context states that **10 of these 14 reconstructions covered 1,000 years or longer**, and the two specifically named Medieval Warm Period reconstructions are part of that group, the answer is:\n\n**2**", | |
| "concise_raw": "Ten.", | |
| "verbose_span": 0, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 0.5027, | |
| "RoBERTa-FT_logit_sum": 14.005, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 2.7968, | |
| "DistilBERT-FT_logit_sum": 9.285, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 4.803, | |
| "RoBERTa-OTS_logit_sum": 9.039, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 2.8303, | |
| "BERT-lg-OTS_logit_sum": 7.836 | |
| }, | |
| { | |
| "question": "What year was the latest addition to the Church of St. Andrew?", | |
| "gold": "1726", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, the latest addition to the Church of St. Andrew, apart from the vestries, was the main porch in **1726**.", | |
| "concise_raw": "1726", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0057, | |
| "RoBERTa-FT_logit_sum": 20.076, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.2948, | |
| "DistilBERT-FT_logit_sum": 12.455, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.0867, | |
| "RoBERTa-OTS_logit_sum": 12.434, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.6093, | |
| "BERT-lg-OTS_logit_sum": 16.07 | |
| }, | |
| { | |
| "question": "What would need to remain constant in a multiplication algorithm to produce the same outcome whether multiplying or squaring two integers? ", | |
| "gold": "input", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The input to the multiplication algorithm would need to remain constant in the sense that both inputs are the same integer when performing squaring. \n\nIn other words, to use a multiplication algorithm for squaring, you simply provide the same number as both operands. The algorithm itself does not change; only the inputs are adjusted.", | |
| "concise_raw": "The input values.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.46, | |
| "RoBERTa-FT_logit_sum": 15.49, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.44, | |
| "DistilBERT-FT_logit_sum": 11.181, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 3.1685, | |
| "RoBERTa-OTS_logit_sum": 9.448, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.6505, | |
| "BERT-lg-OTS_logit_sum": 13.532 | |
| }, | |
| { | |
| "question": "Who ended the series in 1989?", | |
| "gold": "Jonathan Powell", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the series was ended in 1989 by **Jonathan Powell**, the controller of BBC 1.", | |
| "concise_raw": "Jonathan Powell", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0239, | |
| "RoBERTa-FT_logit_sum": 18.437, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.34, | |
| "DistilBERT-FT_logit_sum": 14.99, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.666, | |
| "RoBERTa-OTS_logit_sum": 13.759, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.6095, | |
| "BERT-lg-OTS_logit_sum": 14.61 | |
| }, | |
| { | |
| "question": "Where did the Panthers practice for the Super Bowl?", | |
| "gold": "San Jose State practice facility", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The Panthers practiced at the San Jose State practice facility.", | |
| "concise_raw": "San Jose State practice facility.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0539, | |
| "RoBERTa-FT_logit_sum": 18.183, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.3342, | |
| "DistilBERT-FT_logit_sum": 12.709, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.75, | |
| "RoBERTa-OTS_entropy": 1.7411, | |
| "RoBERTa-OTS_logit_sum": 11.247, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.1891, | |
| "BERT-lg-OTS_logit_sum": 12.229 | |
| }, | |
| { | |
| "question": "What alumni wrote \"The Closing of the American Mind\"?", | |
| "gold": "Allan Bloom", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Allan Bloom wrote \"The Closing of the American Mind\".", | |
| "concise_raw": "Allan Bloom", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0013, | |
| "RoBERTa-FT_logit_sum": 19.908, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.3254, | |
| "DistilBERT-FT_logit_sum": 14.688, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.2705, | |
| "RoBERTa-OTS_logit_sum": 8.276, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.0556, | |
| "BERT-lg-OTS_logit_sum": 17.643 | |
| }, | |
| { | |
| "question": "Where did the world's first railway journey terminate?", | |
| "gold": "Abercynon", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the world's first railway journey terminated in **Abercynon**.", | |
| "concise_raw": "Abercynon", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0132, | |
| "RoBERTa-FT_logit_sum": 17.778, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.7331, | |
| "DistilBERT-FT_logit_sum": 15.255, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.9056, | |
| "RoBERTa-OTS_logit_sum": 13.172, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.32, | |
| "BERT-lg-OTS_logit_sum": 13.8 | |
| }, | |
| { | |
| "question": "Who were later Yuan emperors isolated from?", | |
| "gold": "both the army and the populace", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the later Yuan emperors were isolated from **both the army and the populace**.", | |
| "concise_raw": "The army and the populace.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0108, | |
| "RoBERTa-FT_logit_sum": 19.752, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.7573, | |
| "DistilBERT-FT_logit_sum": 13.862, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.8078, | |
| "RoBERTa-OTS_logit_sum": 14.036, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.857, | |
| "BERT-lg-OTS_entropy": 1.8483, | |
| "BERT-lg-OTS_logit_sum": 12.747 | |
| }, | |
| { | |
| "question": "What is the name of one type of computing method that is used to find prime numbers?", | |
| "gold": "distributed computing", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, one type of computing method used to find prime numbers is **distributed computing**.", | |
| "concise_raw": "Distributed computing", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0051, | |
| "RoBERTa-FT_logit_sum": 17.56, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4453, | |
| "DistilBERT-FT_logit_sum": 13.787, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.4463, | |
| "RoBERTa-OTS_logit_sum": 13.806, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.1716, | |
| "BERT-lg-OTS_logit_sum": 16.293 | |
| }, | |
| { | |
| "question": "Bedau notes that illegal protests towards public policy may serve as what purpose?", | |
| "gold": "propaganda", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, Bedau notes that illegal protests towards public policy may serve a **propaganda purpose**.", | |
| "concise_raw": "A propaganda purpose.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0456, | |
| "RoBERTa-FT_logit_sum": 16.789, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4531, | |
| "DistilBERT-FT_logit_sum": 11.784, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.3722, | |
| "RoBERTa-OTS_logit_sum": 13.64, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.3885, | |
| "BERT-lg-OTS_logit_sum": 15.382 | |
| }, | |
| { | |
| "question": "What country initially received the largest number of Huguenot refugees?", | |
| "gold": "the Dutch Republic", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, the country that initially received the largest number of Huguenot refugees was the **Dutch Republic**.", | |
| "concise_raw": "Dutch Republic", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.4467, | |
| "RoBERTa-FT_logit_sum": 15.878, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.5255, | |
| "DistilBERT-FT_logit_sum": 14.021, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.7659, | |
| "RoBERTa-OTS_logit_sum": 12.507, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.8117, | |
| "BERT-lg-OTS_logit_sum": 15.2 | |
| }, | |
| { | |
| "question": "What does it take a country with high inequality longer to achieve?", | |
| "gold": "reduction", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "It takes a country with high inequality longer to achieve the same reduction in poverty because the benefits of economic growth are less likely to reach the poorer sections of society, meaning a much higher growth rate or longer period is needed to have the same impact on poverty reduction.", | |
| "concise_raw": "Halve poverty.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.3752, | |
| "RoBERTa-FT_logit_sum": 11.69, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.2419, | |
| "DistilBERT-FT_logit_sum": 12.131, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.4, | |
| "RoBERTa-OTS_entropy": 1.3671, | |
| "RoBERTa-OTS_logit_sum": 13.226, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.4, | |
| "BERT-lg-OTS_entropy": 1.7792, | |
| "BERT-lg-OTS_logit_sum": 14.944 | |
| }, | |
| { | |
| "question": "In an atmospheric engine, what does air pressure push against?", | |
| "gold": "piston", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "In an atmospheric engine, air pressure pushes against the **piston**, driving it into the partial vacuum created by condensing steam in the cylinder.", | |
| "concise_raw": "The piston.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.2165, | |
| "RoBERTa-FT_logit_sum": 18.782, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.512, | |
| "DistilBERT-FT_logit_sum": 12.802, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.5986, | |
| "RoBERTa-OTS_logit_sum": 14.396, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.5496, | |
| "BERT-lg-OTS_logit_sum": 15.149 | |
| }, | |
| { | |
| "question": "What are those with lower incomes less likely to have in order to prepare for the future?", | |
| "gold": "savings and investment", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, those with lower incomes are less likely to have **education** in order to prepare for the future.", | |
| "concise_raw": "Education", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 0.0093, | |
| "RoBERTa-FT_logit_sum": 12.633, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 0.6225, | |
| "DistilBERT-FT_logit_sum": 12.046, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 1.9035, | |
| "RoBERTa-OTS_logit_sum": 11.887, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 0.9056, | |
| "BERT-lg-OTS_logit_sum": 13.498 | |
| }, | |
| { | |
| "question": "How many days after Gagarin's flight did the US House Committee on Science and Astronautics meet?", | |
| "gold": "one day", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Gagarin's flight was on April 12, 1961, and the committee met one day later.\n\nTherefore, the answer is **1 day**.", | |
| "concise_raw": "1 day", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0165, | |
| "RoBERTa-FT_logit_sum": 15.078, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.7794, | |
| "DistilBERT-FT_logit_sum": 12.305, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 4.4106, | |
| "RoBERTa-OTS_logit_sum": 8.854, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 1.6736, | |
| "BERT-lg-OTS_logit_sum": 9.304 | |
| }, | |
| { | |
| "question": "Which two treaties provided more formal institutions of the European Union?", | |
| "gold": "Treaty of Rome 1957 and the Maastricht Treaty 1992", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the two treaties that provided more formal institutions of the European Union are the **Treaty of Rome 1957** and the **Maastricht Treaty 1992**.", | |
| "concise_raw": "Treaty of Rome 1957 and Maastricht Treaty 1992", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.5846, | |
| "RoBERTa-FT_logit_sum": 15.165, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.9938, | |
| "DistilBERT-FT_logit_sum": 13.327, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.7742, | |
| "RoBERTa-OTS_logit_sum": 13.709, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.8635, | |
| "BERT-lg-OTS_logit_sum": 13.309 | |
| }, | |
| { | |
| "question": "What can concentrated oxygen produce?", | |
| "gold": "rapid combustion", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, concentrated oxygen can produce **rapid combustion** and create **fire and explosion hazards** when brought into close proximity with fuels and an ignition source.", | |
| "concise_raw": "Rapid combustion", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0678, | |
| "RoBERTa-FT_logit_sum": 14.113, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.3689, | |
| "DistilBERT-FT_logit_sum": 16.391, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.9255, | |
| "RoBERTa-OTS_logit_sum": 12.483, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.9991, | |
| "BERT-lg-OTS_logit_sum": 15.925 | |
| }, | |
| { | |
| "question": "When was the Third Assessment Report published?", | |
| "gold": "2001", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, the Third Assessment Report was published in 2001.", | |
| "concise_raw": "2001", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.004, | |
| "RoBERTa-FT_logit_sum": 16.595, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.0939, | |
| "DistilBERT-FT_logit_sum": 8.297, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.2373, | |
| "RoBERTa-OTS_logit_sum": 13.944, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.2247, | |
| "BERT-lg-OTS_logit_sum": 15.147 | |
| }, | |
| { | |
| "question": "Who did Noble acquire the rights to the American Broadcasting Company name from?", | |
| "gold": "George B. Storer", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, Noble acquired the rights to the \"American Broadcasting Company\" name from **George B. Storer**.", | |
| "concise_raw": "George B. Storer", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0196, | |
| "RoBERTa-FT_logit_sum": 20.5, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.4343, | |
| "DistilBERT-FT_logit_sum": 14.875, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.4774, | |
| "RoBERTa-OTS_logit_sum": 15.761, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.6136, | |
| "BERT-lg-OTS_logit_sum": 15.845 | |
| }, | |
| { | |
| "question": "When was most of Sunnside developed?", | |
| "gold": "1950s through the 1970s", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, most of Sunnyside was developed in the **1950s through the 1970s**.", | |
| "concise_raw": "1950s through 1970s", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.086, | |
| "RoBERTa-FT_logit_sum": 16.709, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.5525, | |
| "DistilBERT-FT_logit_sum": 9.897, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 3.293, | |
| "RoBERTa-OTS_logit_sum": 10.913, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 3.0049, | |
| "BERT-lg-OTS_logit_sum": 14.217 | |
| }, | |
| { | |
| "question": "Where did he work on the oscillators?", | |
| "gold": "Houston Street lab", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, he worked on the oscillators at his Houston Street lab.", | |
| "concise_raw": "Houston Street lab", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0081, | |
| "RoBERTa-FT_logit_sum": 16.981, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.2113, | |
| "DistilBERT-FT_logit_sum": 13.332, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.9117, | |
| "RoBERTa-OTS_logit_sum": 15.413, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.1674, | |
| "BERT-lg-OTS_logit_sum": 15.188 | |
| }, | |
| { | |
| "question": "Each of the extended metropolitan areas has a population that exceeds what number?", | |
| "gold": "five million", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, the two extended metropolitan areas are the Greater Los Angeles Area at 17,786,419 and San Diego\u2013Tijuana at 5,105,768. Both exceed five million in population.\n\n**Answer:** five million", | |
| "concise_raw": "Five million.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0105, | |
| "RoBERTa-FT_logit_sum": 17.605, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.1995, | |
| "DistilBERT-FT_logit_sum": 14.739, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.5464, | |
| "RoBERTa-OTS_logit_sum": 12.753, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.48, | |
| "BERT-lg-OTS_logit_sum": 15.472 | |
| }, | |
| { | |
| "question": "What was Tesla's mother's name?", | |
| "gold": "\u0110uka Tesla", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Tesla's mother's name was \u0110uka Tesla (n\u00e9e Mandi\u0107).", | |
| "concise_raw": "\u0110uka Tesla", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.5, | |
| "RoBERTa-FT_entropy": 0.0352, | |
| "RoBERTa-FT_logit_sum": 12.263, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.7282, | |
| "DistilBERT-FT_logit_sum": 14.458, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.5334, | |
| "RoBERTa-OTS_logit_sum": 8.254, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.5585, | |
| "BERT-lg-OTS_logit_sum": 15.398 | |
| }, | |
| { | |
| "question": "What is the name of Harvard's basketball facility?", | |
| "gold": "Lavietes Pavilion", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the name of Harvard's basketball facility is the **Lavietes Pavilion**.", | |
| "concise_raw": "Lavietes Pavilion", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0076, | |
| "RoBERTa-FT_logit_sum": 20.069, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6193, | |
| "DistilBERT-FT_logit_sum": 14.843, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.5766, | |
| "RoBERTa-OTS_logit_sum": 14.808, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.0147, | |
| "BERT-lg-OTS_logit_sum": 15.882 | |
| }, | |
| { | |
| "question": "What is the name of the longest bridge in Germany?", | |
| "gold": "Emmerich Rhine Bridge", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The longest bridge in Germany is the **Emmerich Rhine Bridge** (Emmericher Rheinbr\u00fccke).", | |
| "concise_raw": "Emmerich Rhine Bridge", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0222, | |
| "RoBERTa-FT_logit_sum": 19.727, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.7327, | |
| "DistilBERT-FT_logit_sum": 14.946, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.2227, | |
| "RoBERTa-OTS_logit_sum": 14.896, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.9805, | |
| "BERT-lg-OTS_logit_sum": 16.153 | |
| }, | |
| { | |
| "question": "What is something that is often torn up and included in sedimentary rock?", | |
| "gold": "gravel", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the answer is **gravel from an older formation**.", | |
| "concise_raw": "Gravel from an older formation", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0103, | |
| "RoBERTa-FT_logit_sum": 18.572, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4461, | |
| "DistilBERT-FT_logit_sum": 13.064, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 0.4613, | |
| "RoBERTa-OTS_logit_sum": 8.164, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.0683, | |
| "BERT-lg-OTS_logit_sum": 13.058 | |
| }, | |
| { | |
| "question": "When did Jamaa Islamiya renounce violence?", | |
| "gold": "in 2003", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Jamaa Islamiya (al-Gama'a al-Islamiyya) renounced violence in **2003**.", | |
| "concise_raw": "2003", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.0267, | |
| "RoBERTa-FT_logit_sum": 16.329, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 1.6685, | |
| "DistilBERT-FT_logit_sum": 11.791, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 1.6237, | |
| "RoBERTa-OTS_logit_sum": 13.239, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 2.0443, | |
| "BERT-lg-OTS_logit_sum": 14.731 | |
| }, | |
| { | |
| "question": "What are the main sources of primary law?", | |
| "gold": "Treaties establishing the European Union", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the main sources of primary law are **the Treaties establishing the European Union**.", | |
| "concise_raw": "The Treaties establishing the European Union.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.9953, | |
| "RoBERTa-FT_logit_sum": 16.553, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.608, | |
| "DistilBERT-FT_logit_sum": 8.129, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.4667, | |
| "RoBERTa-OTS_logit_sum": 13.232, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.6175, | |
| "BERT-lg-OTS_logit_sum": 15.485 | |
| }, | |
| { | |
| "question": "When did Tesla enroll in Austrian Polytechnic?", | |
| "gold": "1875", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Tesla enrolled in Austrian Polytechnic in **1875**.", | |
| "concise_raw": "1875", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0055, | |
| "RoBERTa-FT_logit_sum": 20.64, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.127, | |
| "DistilBERT-FT_logit_sum": 10.127, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.3197, | |
| "RoBERTa-OTS_logit_sum": 14.554, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.1462, | |
| "BERT-lg-OTS_logit_sum": 15.279 | |
| }, | |
| { | |
| "question": "When did Denmark join the EU?", | |
| "gold": "1972", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Denmark joined the EU in **1972** (as part of the accession treaty that year).", | |
| "concise_raw": "1972", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0086, | |
| "RoBERTa-FT_logit_sum": 16.92, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.1778, | |
| "DistilBERT-FT_logit_sum": 10.059, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.678, | |
| "RoBERTa-OTS_logit_sum": 13.376, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.897, | |
| "BERT-lg-OTS_logit_sum": 16.2 | |
| }, | |
| { | |
| "question": "Who influenced the Taliban's ideology?", | |
| "gold": "Osama bin Laden", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided context, the Taliban's ideology was influenced by **Wahhabism** and the **extremist jihadism of Osama bin Laden**.", | |
| "concise_raw": "Deobandi movement, Wahhabism, Osama bin Laden", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0096, | |
| "RoBERTa-FT_logit_sum": 19.136, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 2.1354, | |
| "DistilBERT-FT_logit_sum": 12.41, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 3.4487, | |
| "RoBERTa-OTS_logit_sum": 8.934, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.6491, | |
| "BERT-lg-OTS_logit_sum": 13.863 | |
| }, | |
| { | |
| "question": "What network did ABC beat out for third place in television ratings in 2010-11?", | |
| "gold": "NBC", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, ABC beat out NBC for third place.\n\n**Answer: NBC**", | |
| "concise_raw": "NBC", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0025, | |
| "RoBERTa-FT_logit_sum": 14.885, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.1176, | |
| "DistilBERT-FT_logit_sum": 9.503, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.3173, | |
| "RoBERTa-OTS_logit_sum": 10.92, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.2886, | |
| "BERT-lg-OTS_logit_sum": 13.549 | |
| }, | |
| { | |
| "question": "Where did many Spanish Catholic move after British takeover in Florida?", | |
| "gold": "Most went to Cuba,", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, many Spanish Catholics moved to **Cuba**.", | |
| "concise_raw": "Cuba", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.4, | |
| "RoBERTa-FT_entropy": 0.0068, | |
| "RoBERTa-FT_logit_sum": 15.912, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.4, | |
| "DistilBERT-FT_entropy": 0.9544, | |
| "DistilBERT-FT_logit_sum": 12.975, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.5408, | |
| "RoBERTa-OTS_logit_sum": 7.213, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.4, | |
| "BERT-lg-OTS_entropy": 0.4993, | |
| "BERT-lg-OTS_logit_sum": 13.988 | |
| }, | |
| { | |
| "question": "Who gave Tesla money to go to Prague?", | |
| "gold": "two of Tesla's uncles", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Tesla's uncles gave him money to go to Prague.", | |
| "concise_raw": "His uncles.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.4, | |
| "RoBERTa-FT_entropy": 0.0093, | |
| "RoBERTa-FT_logit_sum": 17.767, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.167, | |
| "DistilBERT-FT_entropy": 2.4416, | |
| "DistilBERT-FT_logit_sum": 2.997, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.4, | |
| "RoBERTa-OTS_entropy": 0.8081, | |
| "RoBERTa-OTS_logit_sum": 15.468, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.286, | |
| "BERT-lg-OTS_entropy": 0.9757, | |
| "BERT-lg-OTS_logit_sum": 14.831 | |
| }, | |
| { | |
| "question": "What parts of a conventional reciprocating steam engine could be replaced by a pistonless rotary engine?", | |
| "gold": "cylinders and valve gear", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the parts that could be replaced are **the cylinders and valve gear**.", | |
| "concise_raw": "Cylinders and valve gear.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0944, | |
| "RoBERTa-FT_logit_sum": 19.055, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.9395, | |
| "DistilBERT-FT_logit_sum": 5.624, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.6293, | |
| "RoBERTa-OTS_logit_sum": 10.655, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.3844, | |
| "BERT-lg-OTS_logit_sum": 15.982 | |
| }, | |
| { | |
| "question": "Which NFL team won Super Bowl 50?", | |
| "gold": "Denver Broncos", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The Denver Broncos won Super Bowl 50.", | |
| "concise_raw": "Denver Broncos", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.328, | |
| "RoBERTa-FT_logit_sum": 18.328, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.5441, | |
| "DistilBERT-FT_logit_sum": 9.586, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.0688, | |
| "RoBERTa-OTS_logit_sum": 16.443, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.101, | |
| "BERT-lg-OTS_logit_sum": 13.883 | |
| }, | |
| { | |
| "question": "What Newcastle radio station is based at the Great North Children's Hospital?", | |
| "gold": "Radio Lollipop", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Newcastle radio station based at the Great North Children's Hospital is **Radio Lollipop**.", | |
| "concise_raw": "Radio Lollipop", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0059, | |
| "RoBERTa-FT_logit_sum": 18.94, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 1.8788, | |
| "DistilBERT-FT_logit_sum": 12.569, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.0208, | |
| "RoBERTa-OTS_logit_sum": 15.167, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.2508, | |
| "BERT-lg-OTS_logit_sum": 16.376 | |
| }, | |
| { | |
| "question": "Who tipped Peyton's pass for an interception?", | |
| "gold": "Kony Ealy", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the player who tipped Peyton Manning's pass for an interception was **Kony Ealy**.", | |
| "concise_raw": "Kony Ealy", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0139, | |
| "RoBERTa-FT_logit_sum": 18.652, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.5656, | |
| "DistilBERT-FT_logit_sum": 13.384, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.1015, | |
| "RoBERTa-OTS_logit_sum": 15.068, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.728, | |
| "BERT-lg-OTS_logit_sum": 13.227 | |
| }, | |
| { | |
| "question": "How does the level of tuition in German private schools compare to private schools in other Western European countries?", | |
| "gold": "very low", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, tuition fees at German private schools (Ersatzschulen) are **lower** compared to most other Western European countries. The text states that due to the legal ban on segregating pupils by their parents' financial means, most Ersatzschulen have \"very low tuition fees and/or offer scholarships, compared to most other Western European countries.\"", | |
| "concise_raw": "Lower.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 0.0525, | |
| "RoBERTa-FT_logit_sum": 15.145, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 1.0733, | |
| "DistilBERT-FT_logit_sum": 9.734, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 3.6447, | |
| "RoBERTa-OTS_logit_sum": 12.055, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 3.1606, | |
| "BERT-lg-OTS_logit_sum": 11.968 | |
| }, | |
| { | |
| "question": "What did France offer that was rare by imperial standards?", | |
| "gold": "assimilation", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, France offered **full citizenship rights (assimilation)** to its colonial subjects, which was rare by imperial standards.", | |
| "concise_raw": "Full citizenship rights (assimilation)", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 1.1833, | |
| "RoBERTa-FT_logit_sum": 18.308, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.143, | |
| "DistilBERT-FT_entropy": 3.0254, | |
| "DistilBERT-FT_logit_sum": 9.504, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.8334, | |
| "RoBERTa-OTS_logit_sum": 14.86, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 1.5691, | |
| "BERT-lg-OTS_logit_sum": 15.067 | |
| }, | |
| { | |
| "question": "What crew sent the first ever live images of the Earth and Moon to earth?", | |
| "gold": "Apollo 8", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the crew that sent the first live televised pictures of the Earth and the Moon back to Earth was the crew of **Apollo 8**.", | |
| "concise_raw": "Apollo 8 crew", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.058, | |
| "RoBERTa-FT_logit_sum": 15.7, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.2727, | |
| "DistilBERT-FT_logit_sum": 11.526, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 3.0355, | |
| "RoBERTa-OTS_logit_sum": 11.431, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.292, | |
| "BERT-lg-OTS_logit_sum": 14.857 | |
| }, | |
| { | |
| "question": "Who lost to the Panthers in the divisional round of the playoffs?", | |
| "gold": "Seattle Seahawks", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the team that lost to the Panthers in the divisional round was the **Seattle Seahawks**.", | |
| "concise_raw": "Seattle Seahawks", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0302, | |
| "RoBERTa-FT_logit_sum": 16.196, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.8374, | |
| "DistilBERT-FT_logit_sum": 14.289, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.9961, | |
| "RoBERTa-OTS_logit_sum": 14.24, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.0865, | |
| "BERT-lg-OTS_logit_sum": 15.57 | |
| }, | |
| { | |
| "question": "How many central conferences are outside of the United States?", | |
| "gold": "seven", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, there are seven central conferences outside of the United States.", | |
| "concise_raw": "Seven.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0032, | |
| "RoBERTa-FT_logit_sum": 14.534, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.751, | |
| "DistilBERT-FT_logit_sum": 11.544, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.5501, | |
| "RoBERTa-OTS_logit_sum": 10.507, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.166, | |
| "BERT-lg-OTS_logit_sum": 9.339 | |
| }, | |
| { | |
| "question": "What are two examples of cytotoxic or immunosuppressive drugs?", | |
| "gold": "methotrexate or azathioprine", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, two examples of cytotoxic or immunosuppressive drugs are **methotrexate** and **azathioprine**.", | |
| "concise_raw": "Methotrexate, cyclosporin", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.5085, | |
| "RoBERTa-FT_logit_sum": 10.329, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 1.9413, | |
| "DistilBERT-FT_logit_sum": 14.023, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 2.1334, | |
| "RoBERTa-OTS_logit_sum": 15.26, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 2.505, | |
| "BERT-lg-OTS_logit_sum": 17.428 | |
| }, | |
| { | |
| "question": "Of what form do Mersenne primes take?", | |
| "gold": "2p \u2212 1", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Mersenne primes are prime numbers of the form \n\\[\n2^p - 1\n\\] \nwhere \\( p \\) is itself a prime number.", | |
| "concise_raw": "2^p \u2212 1", | |
| "verbose_span": 0, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.364, | |
| "RoBERTa-FT_entropy": 5.1938, | |
| "RoBERTa-FT_logit_sum": -1.228, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 4.9008, | |
| "DistilBERT-FT_logit_sum": 4.483, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.364, | |
| "RoBERTa-OTS_entropy": 7.1351, | |
| "RoBERTa-OTS_logit_sum": 4.113, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.333, | |
| "BERT-lg-OTS_entropy": 0.5081, | |
| "BERT-lg-OTS_logit_sum": 17.088 | |
| }, | |
| { | |
| "question": "What is Pedanius Dioscorides known for?", | |
| "gold": "writing a five volume book in his native Greek", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Pedanius Dioscorides is known for writing a five-volume book in Greek titled *\u03a0\u03b5\u03c1\u03af \u03cd\u03bb\u03b7\u03c2 \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2*, which was translated into Latin as *De Materia Medica*. This work became a basis for many medieval texts and was built upon by scientists during the Islamic Golden Age.", | |
| "concise_raw": "Writing De Materia Medica.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.364, | |
| "RoBERTa-FT_entropy": 3.0488, | |
| "RoBERTa-FT_logit_sum": 2.154, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 4.0401, | |
| "DistilBERT-FT_logit_sum": 7.136, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.615, | |
| "RoBERTa-OTS_entropy": 1.8728, | |
| "RoBERTa-OTS_logit_sum": 11.193, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.857, | |
| "BERT-lg-OTS_entropy": 3.2558, | |
| "BERT-lg-OTS_logit_sum": 9.546 | |
| }, | |
| { | |
| "question": "How is the opening of the Grainger Market documented in the Laing Art Gallery?", | |
| "gold": "a painting", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The opening of the Grainger Market is documented in the Laing Art Gallery through a painting of the grand dinner that celebrated the event.", | |
| "concise_raw": "A painting of the event.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 2.2977, | |
| "RoBERTa-FT_logit_sum": 13.931, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.25, | |
| "DistilBERT-FT_entropy": 4.5643, | |
| "DistilBERT-FT_logit_sum": 0.846, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.333, | |
| "RoBERTa-OTS_entropy": 2.8982, | |
| "RoBERTa-OTS_logit_sum": 11.684, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.222, | |
| "BERT-lg-OTS_entropy": 2.9322, | |
| "BERT-lg-OTS_logit_sum": 12.891 | |
| }, | |
| { | |
| "question": "How many BSkyB channels were available to customers prior to October 2005?", | |
| "gold": "three", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, prior to October 2005, three BSkyB channels were available on the platform: Sky News, Sky Three, and Sky Sports News.\n\n**Answer:** 3", | |
| "concise_raw": "Three", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.3599, | |
| "RoBERTa-FT_logit_sum": 5.817, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.125, | |
| "DistilBERT-FT_entropy": 3.7719, | |
| "DistilBERT-FT_logit_sum": 5.116, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.9581, | |
| "RoBERTa-OTS_logit_sum": 8.416, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.8908, | |
| "BERT-lg-OTS_logit_sum": 7.382 | |
| }, | |
| { | |
| "question": "Where is the only Jewish synagogue located?", | |
| "gold": "Nairobi", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the only Jewish synagogue is located in the capital, Nairobi.", | |
| "concise_raw": "Nairobi", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.1683, | |
| "RoBERTa-FT_logit_sum": 13.972, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.8663, | |
| "DistilBERT-FT_logit_sum": 8.316, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.2812, | |
| "RoBERTa-OTS_logit_sum": 14.057, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.9834, | |
| "BERT-lg-OTS_logit_sum": 12.863 | |
| }, | |
| { | |
| "question": "When was the FCC's sixth report and order released?", | |
| "gold": "1952", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the FCC's Sixth Report and Order was released in **1952**.", | |
| "concise_raw": "1952", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0071, | |
| "RoBERTa-FT_logit_sum": 20.418, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.8745, | |
| "DistilBERT-FT_logit_sum": 11.064, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.2384, | |
| "RoBERTa-OTS_logit_sum": 14.198, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.3347, | |
| "BERT-lg-OTS_logit_sum": 13.732 | |
| }, | |
| { | |
| "question": "What often affects or facilitates ease of analysis in computational problems?", | |
| "gold": "unusual resources", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the ease of analysis in computational problems is often affected or facilitated by the use of **unusual resources** or **alternative computational models** (such as a non-deterministic Turing machine) that better capture the mathematical structure of the problem, even if they don't reflect physical computation.", | |
| "concise_raw": "Unusual resources.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.5, | |
| "RoBERTa-FT_entropy": 1.5789, | |
| "RoBERTa-FT_logit_sum": 13.02, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 2.7522, | |
| "DistilBERT-FT_logit_sum": 12.553, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.4, | |
| "RoBERTa-OTS_entropy": 5.2844, | |
| "RoBERTa-OTS_logit_sum": 12.014, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 4.7033, | |
| "BERT-lg-OTS_logit_sum": 11.853 | |
| }, | |
| { | |
| "question": "Who was the leader when the Franks entered the Euphrates valley?", | |
| "gold": "Oursel", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, the leader when the Franks entered the Euphrates valley was **Oursel**.", | |
| "concise_raw": "Oursel", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0053, | |
| "RoBERTa-FT_logit_sum": 18.488, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4635, | |
| "DistilBERT-FT_logit_sum": 14.234, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.4607, | |
| "RoBERTa-OTS_logit_sum": 13.927, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.6413, | |
| "BERT-lg-OTS_logit_sum": 14.632 | |
| }, | |
| { | |
| "question": "Which Belgian footballer claimed that he should be allowed to transfer from one football club to another when his contract was fulfilled?", | |
| "gold": "Jean-Marc Bosman", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Belgian footballer who claimed that he should be allowed to transfer from one football club to another when his contract was fulfilled was **Jean-Marc Bosman**.", | |
| "concise_raw": "Jean-Marc Bosman", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0379, | |
| "RoBERTa-FT_logit_sum": 18.473, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.4, | |
| "DistilBERT-FT_entropy": 1.6584, | |
| "DistilBERT-FT_logit_sum": 13.057, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.2868, | |
| "RoBERTa-OTS_logit_sum": 16.574, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.4, | |
| "BERT-lg-OTS_entropy": 0.2379, | |
| "BERT-lg-OTS_logit_sum": 16.14 | |
| }, | |
| { | |
| "question": "What company developed the most successful steam engine indicator?", | |
| "gold": "Charles Porter", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the most successful steam engine indicator was developed by **Charles Richard** for **Charles Porter**.", | |
| "concise_raw": "Charles Richard", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.5, | |
| "RoBERTa-FT_entropy": 0.1882, | |
| "RoBERTa-FT_logit_sum": 11.725, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.5, | |
| "DistilBERT-FT_entropy": 2.8478, | |
| "DistilBERT-FT_logit_sum": 14.344, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.5, | |
| "RoBERTa-OTS_entropy": 1.6775, | |
| "RoBERTa-OTS_logit_sum": 12.81, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.571, | |
| "BERT-lg-OTS_entropy": 2.9738, | |
| "BERT-lg-OTS_logit_sum": 9.04 | |
| }, | |
| { | |
| "question": "What do the Animal Locomotion photographs capture?", | |
| "gold": "animals and humans performimg various actions", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Animal Locomotion photographs capture **images of different animals and humans performing various actions**.", | |
| "concise_raw": "Animals and humans performing various actions.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 1.1553, | |
| "RoBERTa-FT_logit_sum": 10.024, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.769, | |
| "DistilBERT-FT_entropy": 2.8616, | |
| "DistilBERT-FT_logit_sum": 6.914, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 2.4309, | |
| "RoBERTa-OTS_logit_sum": 14.395, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 2.8491, | |
| "BERT-lg-OTS_logit_sum": 11.034 | |
| }, | |
| { | |
| "question": "What element is used as a coolant in the process of making liquid oxygen?", | |
| "gold": "liquid nitrogen", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the element used as a coolant in the process of making liquid oxygen is **nitrogen**.", | |
| "concise_raw": "Nitrogen", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.0045, | |
| "RoBERTa-FT_logit_sum": 19.614, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 0.6715, | |
| "DistilBERT-FT_logit_sum": 12.527, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 1.4569, | |
| "RoBERTa-OTS_logit_sum": 13.758, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 1.3667, | |
| "BERT-lg-OTS_logit_sum": 14.997 | |
| }, | |
| { | |
| "question": "How many paid holiday days do most member states require?", | |
| "gold": "28 days", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, most member states require more than 28 days of paid holiday in national law.", | |
| "concise_raw": "More than 28 days.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.9321, | |
| "RoBERTa-FT_logit_sum": 15.412, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 1.9778, | |
| "DistilBERT-FT_logit_sum": 9.688, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 1.8939, | |
| "RoBERTa-OTS_logit_sum": 11.856, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.4, | |
| "BERT-lg-OTS_entropy": 2.0193, | |
| "BERT-lg-OTS_logit_sum": 11.095 | |
| }, | |
| { | |
| "question": "Why is the public library known as a people's university?", | |
| "gold": "it is open to all irrespective of age, literacy level and has materials relevant to people of all walks of life", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the public library is known as a \"people's university\" because it is open to all irrespective of age and literacy level, and it has materials relevant to people of all walks of life.", | |
| "concise_raw": "It is open to all, regardless of age or literacy level.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.955, | |
| "RoBERTa-FT_entropy": 2.1628, | |
| "RoBERTa-FT_logit_sum": 4.348, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.083, | |
| "DistilBERT-FT_entropy": 6.3929, | |
| "DistilBERT-FT_logit_sum": 2.053, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.955, | |
| "RoBERTa-OTS_entropy": 3.2539, | |
| "RoBERTa-OTS_logit_sum": 10.577, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.688, | |
| "BERT-lg-OTS_entropy": 2.9846, | |
| "BERT-lg-OTS_logit_sum": 13.862 | |
| }, | |
| { | |
| "question": "What football associated thing started at Justin Herman Plaza in January?", | |
| "gold": "Super Bowl City", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the football associated thing that started at Justin Herman Plaza in January was **\"Super Bowl City\"**.", | |
| "concise_raw": "Super Bowl City", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.03, | |
| "RoBERTa-FT_logit_sum": 15.597, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.7452, | |
| "DistilBERT-FT_logit_sum": 7.805, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.2147, | |
| "RoBERTa-OTS_logit_sum": 13.182, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.9722, | |
| "BERT-lg-OTS_logit_sum": 14.996 | |
| }, | |
| { | |
| "question": "What was the trend of female student population from 1970s and deyond?", | |
| "gold": "the proportion of female undergraduates steadily increased, mirroring a trend throughout higher education in the United States", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, the trend of the female student population from the 1970s and beyond was a **steady increase**.\n\nThe text states that following the merger of Harvard and Radcliffe admissions in **1977**, the proportion of female undergraduates \"steadily increased.\"", | |
| "concise_raw": "Steadily increased.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 0.8219, | |
| "RoBERTa-FT_logit_sum": 15.72, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 0.2964, | |
| "DistilBERT-FT_logit_sum": 14.744, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.6104, | |
| "RoBERTa-OTS_logit_sum": 13.399, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 2.632, | |
| "BERT-lg-OTS_logit_sum": 14.423 | |
| }, | |
| { | |
| "question": "For a field F containing 0 and 1, what would be the prime field?", | |
| "gold": "the smallest subfield", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the prime field of a field \\( F \\) is the smallest subfield of \\( F \\) that contains both 0 and 1. \n\nIt is either: \n- The field of rational numbers \\( \\mathbb{Q} \\), if the characteristic of \\( F \\) is 0, or \n- The finite field \\( \\mathbb{F}_p \\) with \\( p \\) elements, if the characteristic of \\( F \\) is a prime number \\( p \\).", | |
| "concise_raw": "The smallest subfield containing 0 and 1.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 5.0296, | |
| "RoBERTa-FT_logit_sum": 2.647, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 6.0827, | |
| "DistilBERT-FT_logit_sum": 5.905, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 3.5774, | |
| "RoBERTa-OTS_logit_sum": 10.8, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 4.9977, | |
| "BERT-lg-OTS_logit_sum": 10.243 | |
| }, | |
| { | |
| "question": "When was the scale to measure the Rhine introduced? ", | |
| "gold": "1939", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The scale to measure the Rhine was introduced in 1939.", | |
| "concise_raw": "1939", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0037, | |
| "RoBERTa-FT_logit_sum": 16.586, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6342, | |
| "DistilBERT-FT_logit_sum": 9.18, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.1937, | |
| "RoBERTa-OTS_logit_sum": 13.69, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.2143, | |
| "BERT-lg-OTS_logit_sum": 15.45 | |
| }, | |
| { | |
| "question": "What was media day called for Super Bowl 50?", | |
| "gold": "Super Bowl Opening Night.", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, media day for Super Bowl 50 was called **Super Bowl Opening Night**.", | |
| "concise_raw": "Super Bowl Opening Night", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0362, | |
| "RoBERTa-FT_logit_sum": 15.568, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.5969, | |
| "DistilBERT-FT_logit_sum": 7.809, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.2889, | |
| "RoBERTa-OTS_logit_sum": 15.386, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.3625, | |
| "BERT-lg-OTS_logit_sum": 17.172 | |
| }, | |
| { | |
| "question": "Where does southern California's megalopolis standard in terms of population nationwide?", | |
| "gold": "third", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Southern California's megalopolis is the **third** most populated in the United States, after the Great Lakes Megalopolis and the Northeastern megalopolis.", | |
| "concise_raw": "Third.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.4187, | |
| "RoBERTa-FT_logit_sum": 12.067, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 4.3687, | |
| "DistilBERT-FT_logit_sum": 6.594, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.5, | |
| "RoBERTa-OTS_entropy": 3.8979, | |
| "RoBERTa-OTS_logit_sum": 11.782, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 4.3012, | |
| "BERT-lg-OTS_logit_sum": 8.051 | |
| }, | |
| { | |
| "question": "Where was Ralph earl of?", | |
| "gold": "Hereford", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Ralph was earl of **Hereford**.", | |
| "concise_raw": "Hereford", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0078, | |
| "RoBERTa-FT_logit_sum": 16.612, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.0119, | |
| "DistilBERT-FT_logit_sum": 12.229, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.2063, | |
| "RoBERTa-OTS_logit_sum": 11.171, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.4869, | |
| "BERT-lg-OTS_logit_sum": 13.222 | |
| }, | |
| { | |
| "question": "What is a Hauptlied?", | |
| "gold": "main hymn", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, a **Hauptlied** is the **main hymn** for a specific liturgical season or occasion in the Lutheran tradition. The text specifically mentions that \"Nun komm, der Heiden Heiland\" became the Hauptlied for Advent, and \"Gelobet seist du, Jesu Christ\" became the Hauptlied for Christmas.", | |
| "concise_raw": "A main hymn for a liturgical season.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.308, | |
| "RoBERTa-FT_entropy": 2.1199, | |
| "RoBERTa-FT_logit_sum": 9.073, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.111, | |
| "DistilBERT-FT_entropy": 7.3035, | |
| "DistilBERT-FT_logit_sum": 2.208, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.308, | |
| "RoBERTa-OTS_entropy": 3.7879, | |
| "RoBERTa-OTS_logit_sum": 13.648, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.4, | |
| "BERT-lg-OTS_entropy": 3.8487, | |
| "BERT-lg-OTS_logit_sum": 10.99 | |
| }, | |
| { | |
| "question": "What net loss did the Conservatives suffer?", | |
| "gold": "five seats", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Conservatives suffered a net loss of five seats.", | |
| "concise_raw": "Five seats.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.1354, | |
| "RoBERTa-FT_logit_sum": 8.431, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 1.376, | |
| "DistilBERT-FT_logit_sum": 9.68, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.1554, | |
| "RoBERTa-OTS_logit_sum": 7.858, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.6085, | |
| "BERT-lg-OTS_logit_sum": 13.379 | |
| }, | |
| { | |
| "question": "What first opened in 1837?", | |
| "gold": "the Theatre Royal", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The Theatre Royal on Grey Street first opened in 1837.", | |
| "concise_raw": "Theatre Royal on Grey Street", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.571, | |
| "RoBERTa-FT_entropy": 1.6139, | |
| "RoBERTa-FT_logit_sum": 14.377, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.364, | |
| "DistilBERT-FT_entropy": 2.5036, | |
| "DistilBERT-FT_logit_sum": 7.224, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.571, | |
| "RoBERTa-OTS_entropy": 1.8558, | |
| "RoBERTa-OTS_logit_sum": 12.931, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.6333, | |
| "BERT-lg-OTS_logit_sum": 14.502 | |
| }, | |
| { | |
| "question": "Under what instances can individuals rely on primary law in the Court of Justice of European Union?", | |
| "gold": "if the Treaty provisions have a direct effect and they are sufficiently clear, precise and unconditional.", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided context, individuals can rely on primary law in the Court of Justice of the European Union if **the Treaty provisions have a direct effect and they are sufficiently clear, precise and unconditional.**", | |
| "concise_raw": "When Treaty provisions have direct effect and are sufficiently clear, precise, and unconditional.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.963, | |
| "RoBERTa-FT_entropy": 1.688, | |
| "RoBERTa-FT_logit_sum": 8.142, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.133, | |
| "DistilBERT-FT_entropy": 4.2528, | |
| "DistilBERT-FT_logit_sum": 3.008, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 3.3439, | |
| "RoBERTa-OTS_logit_sum": 14.089, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 3.3195, | |
| "BERT-lg-OTS_logit_sum": 11.263 | |
| }, | |
| { | |
| "question": "What happens when starch grains become overly large?", | |
| "gold": "distorting the grana and thylakoids", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, when starch grains become overly large, they **distort the grana and thylakoids** by displacing them, though they leave the thylakoids intact.", | |
| "concise_raw": "They distort grana and thylakoids.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.75, | |
| "RoBERTa-FT_entropy": 1.2145, | |
| "RoBERTa-FT_logit_sum": 11.571, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.75, | |
| "DistilBERT-FT_entropy": 1.7917, | |
| "DistilBERT-FT_logit_sum": 11.758, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.5, | |
| "RoBERTa-OTS_entropy": 3.0863, | |
| "RoBERTa-OTS_logit_sum": 13.632, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.5, | |
| "BERT-lg-OTS_entropy": 3.0497, | |
| "BERT-lg-OTS_logit_sum": 13.69 | |
| }, | |
| { | |
| "question": "Who wrote the paper that the \"Millennial Northern Hemisphere temperature reconstruction\" graph was based on?", | |
| "gold": "Michael E. Mann, Raymond S. Bradley and Malcolm K. Hughes", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the graph was based on a 1999 paper by **Michael E. Mann, Raymond S. Bradley and Malcolm K. Hughes**.", | |
| "concise_raw": "Michael E. Mann, Raymond S. Bradley and Malcolm K. Hughes", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 1.1085, | |
| "RoBERTa-FT_logit_sum": 10.095, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 3.3326, | |
| "DistilBERT-FT_logit_sum": 10.083, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.9922, | |
| "RoBERTa-OTS_logit_sum": 8.66, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.8798, | |
| "BERT-lg-OTS_logit_sum": 13.053 | |
| }, | |
| { | |
| "question": "The United States is divided into how many jurisdictions?", | |
| "gold": "five", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, the United States is divided into **five** jurisdictions.", | |
| "concise_raw": "Five.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0064, | |
| "RoBERTa-FT_logit_sum": 14.286, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.4302, | |
| "DistilBERT-FT_logit_sum": 12.005, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.9946, | |
| "RoBERTa-OTS_logit_sum": 8.777, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.0092, | |
| "BERT-lg-OTS_logit_sum": 8.403 | |
| }, | |
| { | |
| "question": "What alumni is also the Governor of the Bank of Japan?", | |
| "gold": "Masaaki Shirakawa", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the alumni who is also the Governor of the Bank of Japan is Masaaki Shirakawa.", | |
| "concise_raw": "Masaaki Shirakawa", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0056, | |
| "RoBERTa-FT_logit_sum": 17.803, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.1622, | |
| "DistilBERT-FT_logit_sum": 9.668, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.4251, | |
| "RoBERTa-OTS_logit_sum": 11.305, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.3245, | |
| "BERT-lg-OTS_logit_sum": 16.539 | |
| }, | |
| { | |
| "question": "Despite being traditionall described as \"eight counties\", how many counties does this region actually have?", | |
| "gold": "10 counties", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the region is traditionally described as \"eight counties,\" but the more extensive definition includes 10 counties. Therefore, the region actually has **10 counties**.", | |
| "concise_raw": "10", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.2217, | |
| "RoBERTa-FT_logit_sum": 15.415, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 2.2088, | |
| "DistilBERT-FT_logit_sum": 9.028, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 3.5875, | |
| "RoBERTa-OTS_logit_sum": 11.476, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 3.0904, | |
| "BERT-lg-OTS_logit_sum": 11.621 | |
| }, | |
| { | |
| "question": "What did Luther claim the church would have to comprise if the law were not taught?", | |
| "gold": "essentially holy people", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, Luther claimed that if the law were not taught, the church would have to comprise only essentially holy people (or people who are no longer sinners in themselves).", | |
| "concise_raw": "Only essentially holy people.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.8, | |
| "RoBERTa-FT_entropy": 0.3722, | |
| "RoBERTa-FT_logit_sum": 15.498, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.375, | |
| "DistilBERT-FT_entropy": 3.126, | |
| "DistilBERT-FT_logit_sum": 4.467, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.8, | |
| "RoBERTa-OTS_entropy": 1.9742, | |
| "RoBERTa-OTS_logit_sum": 15.554, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.8086, | |
| "BERT-lg-OTS_logit_sum": 15.781 | |
| }, | |
| { | |
| "question": "When did this leader publish a French language Bible?", | |
| "gold": "1530", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided text, the leader who published a French language Bible was Jacques Lefevre, and he did so in **1530**.", | |
| "concise_raw": "1530", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.016, | |
| "RoBERTa-FT_logit_sum": 20.474, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.6103, | |
| "DistilBERT-FT_logit_sum": 14.087, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.7499, | |
| "RoBERTa-OTS_logit_sum": 13.889, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.6975, | |
| "BERT-lg-OTS_logit_sum": 14.394 | |
| }, | |
| { | |
| "question": "What was the name of the rock found during the Apollo 15 mission that KREEP was discovered in?", | |
| "gold": "Genesis Rock", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, the rock found during the Apollo 15 mission is the **Genesis Rock**. However, the text states that the Genesis Rock is an anorthosite sample, and it does not state that KREEP was discovered in this rock. It says KREEP was discovered as a geochemical component, and that both KREEP and the anorthositic samples have been used to infer the lunar magma ocean.\n\nTherefore, according to the given context, the rock found during Apollo 15 is the **Genesis Rock**, but the text does not specify that KREEP was discovered in it.", | |
| "concise_raw": "Genesis Rock", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.2913, | |
| "RoBERTa-FT_logit_sum": 18.25, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.5172, | |
| "DistilBERT-FT_logit_sum": 11.078, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 4.9657, | |
| "RoBERTa-OTS_logit_sum": 8.124, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 4.2488, | |
| "BERT-lg-OTS_logit_sum": 10.884 | |
| }, | |
| { | |
| "question": "What isn't economic growth sufficient for progress on?", | |
| "gold": "reducing poverty", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, economic growth isn't sufficient for progress on **reducing poverty**.", | |
| "concise_raw": "Reducing poverty", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0123, | |
| "RoBERTa-FT_logit_sum": 18.296, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6669, | |
| "DistilBERT-FT_logit_sum": 13.734, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.8378, | |
| "RoBERTa-OTS_logit_sum": 13.725, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.3956, | |
| "BERT-lg-OTS_logit_sum": 16.64 | |
| }, | |
| { | |
| "question": "What program helped develop space travel techniques that Project Apollo used?", | |
| "gold": "Gemini program", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the program that helped develop space travel techniques that Project Apollo used was the **Gemini program**.", | |
| "concise_raw": "Gemini program", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.4504, | |
| "RoBERTa-FT_logit_sum": 19.882, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 1.8391, | |
| "DistilBERT-FT_logit_sum": 11.923, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.6609, | |
| "RoBERTa-OTS_logit_sum": 15.433, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.2588, | |
| "BERT-lg-OTS_logit_sum": 14.459 | |
| }, | |
| { | |
| "question": "Vetra and I Germanica and XX Valeria were the two legions for what?", | |
| "gold": "army of Germania Inferior", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, Vetera and the legions I Germanica and XX Valeria were the two legions for **the army of Germania Inferior**.", | |
| "concise_raw": "the army of Germania Inferior", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.9701, | |
| "RoBERTa-FT_logit_sum": 19.303, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 2.2087, | |
| "DistilBERT-FT_logit_sum": 9.032, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.5816, | |
| "RoBERTa-OTS_logit_sum": 12.019, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.4606, | |
| "BERT-lg-OTS_logit_sum": 14.704 | |
| }, | |
| { | |
| "question": "What is the name of Elementary Schools?", | |
| "gold": "Grundschule", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the name of Elementary Schools is **Grundschule**.", | |
| "concise_raw": "Grundschule", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0066, | |
| "RoBERTa-FT_logit_sum": 18.319, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.5647, | |
| "DistilBERT-FT_logit_sum": 14.683, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.5592, | |
| "RoBERTa-OTS_logit_sum": 12.872, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.5658, | |
| "BERT-lg-OTS_logit_sum": 14.608 | |
| }, | |
| { | |
| "question": "What does the title G\u00fcr Khan mean?", | |
| "gold": "universal ruler", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided text, the title G\u00fcr Khan means \"universal ruler.\"", | |
| "concise_raw": "Universal ruler", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0361, | |
| "RoBERTa-FT_logit_sum": 18.925, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.2357, | |
| "DistilBERT-FT_logit_sum": 9.689, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.8271, | |
| "RoBERTa-OTS_logit_sum": 12.783, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.7326, | |
| "BERT-lg-OTS_logit_sum": 15.289 | |
| }, | |
| { | |
| "question": "When was Apollo 6, or AS-502, tested?", | |
| "gold": "April 4, 1968", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, Apollo 6 (AS-502) was tested on **April 4, 1968**.", | |
| "concise_raw": "April 4, 1968", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.5628, | |
| "RoBERTa-FT_logit_sum": 17.939, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.4929, | |
| "DistilBERT-FT_logit_sum": 9.783, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.2528, | |
| "RoBERTa-OTS_logit_sum": 16.873, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.6492, | |
| "BERT-lg-OTS_logit_sum": 17.797 | |
| }, | |
| { | |
| "question": "For many years, what was the Brotherhood described as?", | |
| "gold": "\"semi-legal\"", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "For many years, the Brotherhood was described as \"semi-legal\".", | |
| "concise_raw": "semi-legal", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0888, | |
| "RoBERTa-FT_logit_sum": 19.177, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 1.3176, | |
| "DistilBERT-FT_logit_sum": 8.255, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.8036, | |
| "RoBERTa-OTS_logit_sum": 13.53, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 2.0583, | |
| "BERT-lg-OTS_logit_sum": 14.674 | |
| }, | |
| { | |
| "question": "Granite is made up largely of what chemical compound?", | |
| "gold": "oxides of silicon", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, granite is made up largely of **silica (SiO\u2082)**.", | |
| "concise_raw": "Silica (SiO\u2082)", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 0.0094, | |
| "RoBERTa-FT_logit_sum": 16.893, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 1.3004, | |
| "DistilBERT-FT_logit_sum": 13.941, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.583, | |
| "RoBERTa-OTS_logit_sum": 10.683, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 1.85, | |
| "BERT-lg-OTS_logit_sum": 16.018 | |
| }, | |
| { | |
| "question": "What can be achieved without building high or getting rid of common areas?", | |
| "gold": "high density", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, high density can be achieved without building high or getting rid of common areas.", | |
| "concise_raw": "High density.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0339, | |
| "RoBERTa-FT_logit_sum": 14.489, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.25, | |
| "DistilBERT-FT_entropy": 3.7486, | |
| "DistilBERT-FT_logit_sum": 1.362, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.103, | |
| "RoBERTa-OTS_logit_sum": 13.951, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.107, | |
| "BERT-lg-OTS_logit_sum": 15.679 | |
| }, | |
| { | |
| "question": "What was the cost of the other Super Bowl events in the San Francisco area?", | |
| "gold": "$2 million", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the cost of the other ancillary events was **$2 million**.", | |
| "concise_raw": "$2 million", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0636, | |
| "RoBERTa-FT_logit_sum": 14.771, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.667, | |
| "DistilBERT-FT_logit_sum": 14.27, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.4001, | |
| "RoBERTa-OTS_logit_sum": 8.274, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.1452, | |
| "BERT-lg-OTS_logit_sum": 14.203 | |
| }, | |
| { | |
| "question": "Where did Tesla live for much of his life?", | |
| "gold": "New York hotels", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, Tesla lived most of his life in a series of New York hotels.", | |
| "concise_raw": "New York hotels", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.3278, | |
| "RoBERTa-FT_logit_sum": 12.053, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.75, | |
| "DistilBERT-FT_entropy": 1.5042, | |
| "DistilBERT-FT_logit_sum": 8.666, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.0318, | |
| "RoBERTa-OTS_logit_sum": 13.946, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.0083, | |
| "BERT-lg-OTS_logit_sum": 12.36 | |
| }, | |
| { | |
| "question": "What did the engineers fear would be difficult in space due to it never being attempted in Earth orbit?", | |
| "gold": "a rendezvous \u2014let alone a docking", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The engineers feared that a rendezvous or docking would be difficult in space, as neither had been attempted in Earth orbit.", | |
| "concise_raw": "Rendezvous and docking", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.571, | |
| "RoBERTa-FT_entropy": 0.9397, | |
| "RoBERTa-FT_logit_sum": 19.004, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 4.9101, | |
| "DistilBERT-FT_logit_sum": 2.569, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.571, | |
| "RoBERTa-OTS_entropy": 1.6024, | |
| "RoBERTa-OTS_logit_sum": 15.353, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.571, | |
| "BERT-lg-OTS_entropy": 1.2354, | |
| "BERT-lg-OTS_logit_sum": 13.706 | |
| }, | |
| { | |
| "question": "What kind of statement is made in the effort of establishing the time and space requirements needed to enhance the ultimate number of problems solved?", | |
| "gold": "quantitative statements", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the statement made in this effort is a **quantitative statement** about how much more additional time or space is needed to increase the number of problems that can be solved.", | |
| "concise_raw": "Quantitative hierarchy statements.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.5, | |
| "RoBERTa-FT_entropy": 0.0878, | |
| "RoBERTa-FT_logit_sum": 14.067, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.5, | |
| "DistilBERT-FT_entropy": 0.9934, | |
| "DistilBERT-FT_logit_sum": 11.574, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.5, | |
| "RoBERTa-OTS_entropy": 2.6967, | |
| "RoBERTa-OTS_logit_sum": 13.226, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 2.9535, | |
| "BERT-lg-OTS_logit_sum": 14.989 | |
| }, | |
| { | |
| "question": "Where does the proportion of shared and converted houses in 2011 put this dwelling type in the color-coded brackets?", | |
| "gold": "5.9%", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, the proportion of converted or shared houses in 2011 was **within the highest of the five color-coded brackets**.", | |
| "concise_raw": "Highest bracket.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 1.0845, | |
| "RoBERTa-FT_logit_sum": 12.23, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 3.03, | |
| "DistilBERT-FT_logit_sum": 3.407, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 3.7244, | |
| "RoBERTa-OTS_logit_sum": 10.598, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 3.2846, | |
| "BERT-lg-OTS_logit_sum": 12.541 | |
| }, | |
| { | |
| "question": "What are the small tentacles on Cydippids called?", | |
| "gold": "tentilla", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, the small tentacles on Cydippids are called **tentilla**.", | |
| "concise_raw": "tentilla", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.004, | |
| "RoBERTa-FT_logit_sum": 17.462, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4884, | |
| "DistilBERT-FT_logit_sum": 15.563, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.0451, | |
| "RoBERTa-OTS_logit_sum": 13.869, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.01, | |
| "BERT-lg-OTS_logit_sum": 15.858 | |
| }, | |
| { | |
| "question": "What theorems are responsible for determining questions of time and space requirements?", | |
| "gold": "time and space hierarchy theorems", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided context, the theorems responsible for determining questions of time and space requirements are the **time hierarchy theorem** and the **space hierarchy theorem**.", | |
| "concise_raw": "Time and space hierarchy theorems.", | |
| "verbose_span": 0, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 1.5814, | |
| "RoBERTa-FT_logit_sum": 7.346, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.5, | |
| "DistilBERT-FT_entropy": 2.9641, | |
| "DistilBERT-FT_logit_sum": 9.136, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 3.0278, | |
| "RoBERTa-OTS_logit_sum": 10.253, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 2.0541, | |
| "BERT-lg-OTS_logit_sum": 14.378 | |
| }, | |
| { | |
| "question": "The UMC prohibits the celebration of what type of unions?", | |
| "gold": "same-sex unions", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The UMC prohibits the celebration of same-sex unions.", | |
| "concise_raw": "same-sex unions", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.3974, | |
| "RoBERTa-FT_logit_sum": 16.021, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.4, | |
| "DistilBERT-FT_entropy": 1.2507, | |
| "DistilBERT-FT_logit_sum": 6.256, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 0.9685, | |
| "RoBERTa-OTS_logit_sum": 13.695, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 1.0772, | |
| "BERT-lg-OTS_logit_sum": 14.317 | |
| }, | |
| { | |
| "question": "What did Lavoisier perceive the air had lost as much as the tin had gained", | |
| "gold": "weight", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Lavoisier perceived that the air had lost as much weight as the tin had gained.", | |
| "concise_raw": "Weight", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.1198, | |
| "RoBERTa-FT_logit_sum": 3.634, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 4.5885, | |
| "DistilBERT-FT_logit_sum": 2.225, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.6255, | |
| "RoBERTa-OTS_logit_sum": 7.547, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.8318, | |
| "BERT-lg-OTS_logit_sum": 10.908 | |
| }, | |
| { | |
| "question": "What one point was not agreed on that was dear to Luther?", | |
| "gold": "nature of the Eucharist", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The one point not agreed upon was the nature of the Eucharist, specifically whether the body and blood of Christ are physically present in, with, and under the bread and wine (consubstantiation, as Luther held) or whether the bread and wine are merely symbolic representations of Christ's body and blood (as Zwingli argued).", | |
| "concise_raw": "The real presence of Christ in the Eucharist.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.9439, | |
| "RoBERTa-FT_logit_sum": 12.012, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 6.217, | |
| "DistilBERT-FT_logit_sum": 3.741, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 3.1699, | |
| "RoBERTa-OTS_logit_sum": 8.422, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.3276, | |
| "BERT-lg-OTS_logit_sum": 14.172 | |
| }, | |
| { | |
| "question": "What Florida stadium was considered for Super Bowl 50?", | |
| "gold": "Sun Life Stadium", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Florida stadium considered for Super Bowl 50 was **Miami's Sun Life Stadium**.", | |
| "concise_raw": "Sun Life Stadium", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.857, | |
| "RoBERTa-FT_entropy": 0.0883, | |
| "RoBERTa-FT_logit_sum": 16.618, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.75, | |
| "DistilBERT-FT_entropy": 2.0061, | |
| "DistilBERT-FT_logit_sum": 12.991, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.857, | |
| "RoBERTa-OTS_entropy": 1.8457, | |
| "RoBERTa-OTS_logit_sum": 15.627, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.75, | |
| "BERT-lg-OTS_entropy": 0.3551, | |
| "BERT-lg-OTS_logit_sum": 16.802 | |
| }, | |
| { | |
| "question": "What is wasted by rubisco's flaw?", | |
| "gold": "ATP energy", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the thing that is wasted by rubisco's flaw is **ATP energy**.", | |
| "concise_raw": "ATP energy", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0035, | |
| "RoBERTa-FT_logit_sum": 19.213, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6592, | |
| "DistilBERT-FT_logit_sum": 15.362, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.3831, | |
| "RoBERTa-OTS_logit_sum": 14.318, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.029, | |
| "BERT-lg-OTS_logit_sum": 15.966 | |
| }, | |
| { | |
| "question": "What was the original name of California State University at Fresno?", | |
| "gold": "Fresno Normal School", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, the original name of California State University at Fresno was the **Fresno Normal School**.", | |
| "concise_raw": "Fresno Normal School", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0564, | |
| "RoBERTa-FT_logit_sum": 16.738, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.3815, | |
| "DistilBERT-FT_logit_sum": 9.002, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.2231, | |
| "RoBERTa-OTS_logit_sum": 13.006, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.1044, | |
| "BERT-lg-OTS_logit_sum": 16.16 | |
| }, | |
| { | |
| "question": "What band headlined half-time during Super Bowl 50?", | |
| "gold": "Coldplay", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Coldplay", | |
| "concise_raw": "Coldplay", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 1, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0023, | |
| "RoBERTa-FT_logit_sum": 18.772, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.0268, | |
| "DistilBERT-FT_logit_sum": 14.668, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.1105, | |
| "RoBERTa-OTS_logit_sum": 7.912, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.0183, | |
| "BERT-lg-OTS_logit_sum": 14.683 | |
| }, | |
| { | |
| "question": "What were X.25 and Frame relay used for ", | |
| "gold": "Frame Relay was used to interconnect LANs across wide area networks. However, X.25 and well as Frame Relay have been supplanted", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, X.25 and Frame Relay were used to provide a standardized interface into and out of packet networks (specifically at the User-Network Interface, or UNI). X.25 was widely used for packet switching networks during the 1980s and early 1990s, while Frame Relay served a similar purpose but with greater speed and efficiency at the data link layer.", | |
| "concise_raw": "Providing standardized interfaces for packet-switched networks.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.133, | |
| "RoBERTa-FT_entropy": 1.4266, | |
| "RoBERTa-FT_logit_sum": 15.309, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.179, | |
| "DistilBERT-FT_entropy": 4.0745, | |
| "DistilBERT-FT_logit_sum": 6.427, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.194, | |
| "RoBERTa-OTS_entropy": 4.2776, | |
| "RoBERTa-OTS_logit_sum": 12.546, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.194, | |
| "BERT-lg-OTS_entropy": 2.1329, | |
| "BERT-lg-OTS_logit_sum": 12.961 | |
| }, | |
| { | |
| "question": "When did Paul Rand's iconic ABC logo first debut?", | |
| "gold": "1963\u201364 season", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Paul Rand's iconic ABC logo first debuted at the start of the 1963\u201364 season.", | |
| "concise_raw": "1963\u201364 season", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.7085, | |
| "RoBERTa-FT_logit_sum": 14.378, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 1.9527, | |
| "DistilBERT-FT_logit_sum": 7.282, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 3.8903, | |
| "RoBERTa-OTS_logit_sum": 9.094, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.333, | |
| "BERT-lg-OTS_entropy": 3.0944, | |
| "BERT-lg-OTS_logit_sum": 12.531 | |
| }, | |
| { | |
| "question": "Who did Carolina beat in the divisional round?", | |
| "gold": "Seattle Seahawks", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The Carolina Panthers beat the Seattle Seahawks in the divisional round.", | |
| "concise_raw": "Seattle Seahawks", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0186, | |
| "RoBERTa-FT_logit_sum": 17.019, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.1519, | |
| "DistilBERT-FT_logit_sum": 11.56, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.8782, | |
| "RoBERTa-OTS_logit_sum": 14.911, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.6057, | |
| "BERT-lg-OTS_logit_sum": 16.226 | |
| }, | |
| { | |
| "question": "Who argued that the USSR had itself become an imperialist power?", | |
| "gold": "Mao Zedong", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided text, Mao Zedong argued that the Soviet Union had itself become an imperialist power while maintaining a socialist fa\u00e7ade.", | |
| "concise_raw": "Mao Zedong", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0074, | |
| "RoBERTa-FT_logit_sum": 18.287, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.3175, | |
| "DistilBERT-FT_logit_sum": 7.16, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.0706, | |
| "RoBERTa-OTS_logit_sum": 15.738, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.0366, | |
| "BERT-lg-OTS_logit_sum": 17.864 | |
| }, | |
| { | |
| "question": "What version of the English translation of the Bible did Luther's translation affect?", | |
| "gold": "Tyndale Bible", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Luther's translation influenced the **Tyndale Bible**.", | |
| "concise_raw": "Tyndale Bible", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.9726, | |
| "RoBERTa-FT_logit_sum": 9.354, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.8245, | |
| "DistilBERT-FT_logit_sum": 11.937, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.5074, | |
| "RoBERTa-OTS_logit_sum": 12.782, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.4306, | |
| "BERT-lg-OTS_logit_sum": 13.813 | |
| }, | |
| { | |
| "question": "Who did Luther think was behind the antinomian theses circulating in Wittenberg?", | |
| "gold": "Johannes Agricola", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Luther suspected that Johannes Agricola was behind the anonymous antinomian theses circulating in Wittenberg.", | |
| "concise_raw": "Johannes Agricola.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0036, | |
| "RoBERTa-FT_logit_sum": 20.828, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.9504, | |
| "DistilBERT-FT_logit_sum": 8.1, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.0721, | |
| "RoBERTa-OTS_logit_sum": 16.51, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.0352, | |
| "BERT-lg-OTS_logit_sum": 17.795 | |
| }, | |
| { | |
| "question": "When did Warsaw become the center of the Congress Poland?", | |
| "gold": "1815", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Warsaw became the center of the Congress Poland in 1815.", | |
| "concise_raw": "1815", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0076, | |
| "RoBERTa-FT_logit_sum": 20.842, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.8749, | |
| "DistilBERT-FT_logit_sum": 8.233, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.1596, | |
| "RoBERTa-OTS_logit_sum": 15.958, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.2001, | |
| "BERT-lg-OTS_logit_sum": 15.383 | |
| }, | |
| { | |
| "question": "What is the name for a teacher of just one person?", | |
| "gold": "tutor", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the name for a teacher of just one person is a **tutor**.", | |
| "concise_raw": "Tutor", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0075, | |
| "RoBERTa-FT_logit_sum": 16.682, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.979, | |
| "DistilBERT-FT_logit_sum": 11.579, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.3178, | |
| "RoBERTa-OTS_logit_sum": 13.914, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.3529, | |
| "BERT-lg-OTS_logit_sum": 15.661 | |
| }, | |
| { | |
| "question": "When was the Office of Western Medicine founded?", | |
| "gold": "1263", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Office of Western Medicine was founded in **1263**.", | |
| "concise_raw": "1263", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.007, | |
| "RoBERTa-FT_logit_sum": 20.034, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.799, | |
| "DistilBERT-FT_logit_sum": 13.855, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.2747, | |
| "RoBERTa-OTS_logit_sum": 14.209, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.4704, | |
| "BERT-lg-OTS_logit_sum": 13.638 | |
| }, | |
| { | |
| "question": "What ended up being used for the streetcars in the place of Tesla's system?", | |
| "gold": "a DC traction motor", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, a DC traction motor was used instead of Tesla's system for the streetcars.", | |
| "concise_raw": "DC traction motor", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.3172, | |
| "RoBERTa-FT_logit_sum": 17.012, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.2099, | |
| "DistilBERT-FT_logit_sum": 8.102, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.5614, | |
| "RoBERTa-OTS_logit_sum": 12.586, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.0994, | |
| "BERT-lg-OTS_logit_sum": 16.898 | |
| }, | |
| { | |
| "question": "Who purchased or commissioned the works of European artists included the British galleries of the V&A?", | |
| "gold": "British patrons", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the works of European artists were purchased or commissioned by **British patrons**.", | |
| "concise_raw": "British patrons.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 3.8362, | |
| "RoBERTa-FT_logit_sum": -5.547, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.9231, | |
| "DistilBERT-FT_logit_sum": 7.644, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.479, | |
| "RoBERTa-OTS_logit_sum": 3.316, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.8196, | |
| "BERT-lg-OTS_logit_sum": 8.706 | |
| }, | |
| { | |
| "question": "Which California venue was one of three considered for Super Bowl 50?", | |
| "gold": "San Francisco Bay Area's Levi's Stadium", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Levi's Stadium", | |
| "concise_raw": "Levi's Stadium", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.5, | |
| "RoBERTa-FT_entropy": 0.0025, | |
| "RoBERTa-FT_logit_sum": 19.422, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.222, | |
| "DistilBERT-FT_entropy": 0.0393, | |
| "DistilBERT-FT_logit_sum": 14.758, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.5, | |
| "RoBERTa-OTS_entropy": 2.296, | |
| "RoBERTa-OTS_logit_sum": 6.787, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.222, | |
| "BERT-lg-OTS_entropy": 0.0407, | |
| "BERT-lg-OTS_logit_sum": 13.846 | |
| }, | |
| { | |
| "question": "What policy did the Kelven Report contain?", | |
| "gold": "social and political action", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Kalven Report contained a policy stating that the university must maintain independence from political fashions, passions, and pressures in order to sustain an environment of freedom of inquiry.", | |
| "concise_raw": "The university's policy on social and political action.", | |
| "verbose_span": 0, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 0.3015, | |
| "RoBERTa-FT_logit_sum": 13.198, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.138, | |
| "DistilBERT-FT_entropy": 2.5939, | |
| "DistilBERT-FT_logit_sum": 7.225, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 3.8201, | |
| "RoBERTa-OTS_logit_sum": 6.825, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.174, | |
| "BERT-lg-OTS_entropy": 4.2543, | |
| "BERT-lg-OTS_logit_sum": 8.887 | |
| }, | |
| { | |
| "question": "What is Christian Perfection?", | |
| "gold": "a genuine love of God with heart, soul, mind, and strength, and a genuine love of our neighbors as ourselves", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Christian Perfection is a state of genuine love for God (with heart, soul, mind, and strength) and genuine love for one's neighbor as oneself. It is a state attainable in this life, enabled by Sanctifying Grace, in which a believer can lose all inclination to evil and live a Spirit-filled, Christ-like life aimed toward love, without falling into sin.", | |
| "concise_raw": "A state of genuine love for God and neighbor, attainable in this life.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.737, | |
| "RoBERTa-FT_entropy": 2.0732, | |
| "RoBERTa-FT_logit_sum": 11.139, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.384, | |
| "DistilBERT-FT_entropy": 7.115, | |
| "DistilBERT-FT_logit_sum": 2.758, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.737, | |
| "RoBERTa-OTS_entropy": 3.4671, | |
| "RoBERTa-OTS_logit_sum": 13.572, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.333, | |
| "BERT-lg-OTS_entropy": 2.5494, | |
| "BERT-lg-OTS_logit_sum": 12.013 | |
| }, | |
| { | |
| "question": "What shows were released on Laserdisc?", | |
| "gold": "Eight original series serials", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the shows released on Laserdisc were **eight original series serials** of *Doctor Who*.", | |
| "concise_raw": "Eight original series serials.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 2.2274, | |
| "RoBERTa-FT_logit_sum": 4.58, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.4, | |
| "DistilBERT-FT_entropy": 3.6683, | |
| "DistilBERT-FT_logit_sum": 11.293, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.727, | |
| "RoBERTa-OTS_entropy": 4.7229, | |
| "RoBERTa-OTS_logit_sum": 4.317, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.727, | |
| "BERT-lg-OTS_entropy": 3.2638, | |
| "BERT-lg-OTS_logit_sum": 10.77 | |
| }, | |
| { | |
| "question": "Richard Allen and Absalom Jones were licensed by St. George's Church in what year?", | |
| "gold": "1784", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided text, Richard Allen and Absalom Jones were licensed by St. George's Church in **1784**.", | |
| "concise_raw": "1784", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0057, | |
| "RoBERTa-FT_logit_sum": 19.75, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.1302, | |
| "DistilBERT-FT_logit_sum": 11.796, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.8182, | |
| "RoBERTa-OTS_logit_sum": 13.717, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.4063, | |
| "BERT-lg-OTS_logit_sum": 16.99 | |
| }, | |
| { | |
| "question": "How far does one pharmacy in Croatia date back to?", | |
| "gold": "1317", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the pharmacy in Croatia dates back to **1317**.", | |
| "concise_raw": "1317", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0086, | |
| "RoBERTa-FT_logit_sum": 19.37, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.6338, | |
| "DistilBERT-FT_logit_sum": 12.045, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.9218, | |
| "RoBERTa-OTS_logit_sum": 13.361, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.6559, | |
| "BERT-lg-OTS_logit_sum": 12.079 | |
| }, | |
| { | |
| "question": "When did the Rhine Straightening program begin?", | |
| "gold": "19th Century", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided text, the Rhine straightening program began in the **19th Century**.", | |
| "concise_raw": "19th century.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.289, | |
| "RoBERTa-FT_logit_sum": 15.152, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.8846, | |
| "DistilBERT-FT_logit_sum": 10.535, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.7074, | |
| "RoBERTa-OTS_logit_sum": 12.928, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 3.1053, | |
| "BERT-lg-OTS_logit_sum": 12.933 | |
| }, | |
| { | |
| "question": "How was religion handled in the Mongol Empire?", | |
| "gold": "a personal concept", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided context, religion in the Mongol Empire was handled with tolerance. It was considered a personal concept that was not subject to law or interference. This policy was supported by the fact that various Mongol tribes practiced different religions, including Shamanism, Buddhism, and Christianity, and that religious figures (along with some teachers and doctors) were granted tax exemptions.", | |
| "concise_raw": "Religious tolerance; religion was personal and not subject to law.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 0.0108, | |
| "RoBERTa-FT_logit_sum": 15.843, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 5.103, | |
| "DistilBERT-FT_logit_sum": 5.623, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 1.4847, | |
| "RoBERTa-OTS_logit_sum": 12.613, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 1.7726, | |
| "BERT-lg-OTS_logit_sum": 13.234 | |
| }, | |
| { | |
| "question": "Who did Alexander I marry?", | |
| "gold": "Sybilla of Normandy", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided text, Alexander I married Sybilla of Normandy.", | |
| "concise_raw": "Sybilla of Normandy", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0202, | |
| "RoBERTa-FT_logit_sum": 17.842, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.0717, | |
| "DistilBERT-FT_logit_sum": 10.021, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.8653, | |
| "RoBERTa-OTS_logit_sum": 13.487, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.7845, | |
| "BERT-lg-OTS_logit_sum": 15.336 | |
| }, | |
| { | |
| "question": "What is Psalm 67 about?", | |
| "gold": "prayer for grace", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Psalm 67 is a prayer for grace. The text states that Luther adopted a tune \"associated with a hymnic setting of Psalm 67's prayer for grace.\"", | |
| "concise_raw": "A prayer for God's grace and blessing.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 1.133, | |
| "RoBERTa-FT_logit_sum": 9.706, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 3.7084, | |
| "DistilBERT-FT_logit_sum": 4.793, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.5217, | |
| "RoBERTa-OTS_logit_sum": 11.426, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.6186, | |
| "BERT-lg-OTS_logit_sum": 12.063 | |
| }, | |
| { | |
| "question": "Who was the leader of Russia in the 1960's?", | |
| "gold": "Nikita Khrushchev", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, the leader of Russia in the 1960s was **Nikita Khrushchev**.", | |
| "concise_raw": "Nikita Khrushchev", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.04, | |
| "RoBERTa-FT_logit_sum": 18.261, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.7965, | |
| "DistilBERT-FT_logit_sum": 13.312, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.7301, | |
| "RoBERTa-OTS_logit_sum": 15.848, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.1158, | |
| "BERT-lg-OTS_logit_sum": 17.788 | |
| }, | |
| { | |
| "question": "When did the Cretaceous-Paleogene extinction happen?", | |
| "gold": "66 million years ago", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, the Cretaceous-Paleogene extinction happened **66 million years ago**.", | |
| "concise_raw": "66 million years ago", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0296, | |
| "RoBERTa-FT_logit_sum": 19.728, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.9342, | |
| "DistilBERT-FT_logit_sum": 10.784, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.7296, | |
| "RoBERTa-OTS_logit_sum": 15.147, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.3565, | |
| "BERT-lg-OTS_logit_sum": 15.101 | |
| }, | |
| { | |
| "question": "What are the most abundant kind of phagocyte?", | |
| "gold": "Neutrophils", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the most abundant kind of phagocyte is the **neutrophil**.", | |
| "concise_raw": "Neutrophils", | |
| "verbose_span": 0, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 0.02, | |
| "RoBERTa-FT_logit_sum": 19.793, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 0.3419, | |
| "DistilBERT-FT_logit_sum": 14.609, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.1103, | |
| "RoBERTa-OTS_logit_sum": 14.646, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 3.1273, | |
| "BERT-lg-OTS_logit_sum": 17.69 | |
| }, | |
| { | |
| "question": "Where did Maududi exert the most impact?", | |
| "gold": "through his writing", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Maududi exerted the most impact through his writing.", | |
| "concise_raw": "His writing.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.5, | |
| "RoBERTa-FT_entropy": 0.8453, | |
| "RoBERTa-FT_logit_sum": 3.248, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.6, | |
| "DistilBERT-FT_entropy": 3.7934, | |
| "DistilBERT-FT_logit_sum": 1.099, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.9351, | |
| "RoBERTa-OTS_logit_sum": 10.651, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.3007, | |
| "BERT-lg-OTS_logit_sum": 14.186 | |
| }, | |
| { | |
| "question": "When people take on debt, it leads potentially to what?", | |
| "gold": "economic instability", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, when people take on debt, it leads potentially to **even greater inequality and potential economic instability**.", | |
| "concise_raw": "Greater inequality and economic instability.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 1.4299, | |
| "RoBERTa-FT_logit_sum": 17.112, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.444, | |
| "DistilBERT-FT_entropy": 2.035, | |
| "DistilBERT-FT_logit_sum": 10.036, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.444, | |
| "RoBERTa-OTS_entropy": 3.2628, | |
| "RoBERTa-OTS_logit_sum": 14.735, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.444, | |
| "BERT-lg-OTS_entropy": 2.3341, | |
| "BERT-lg-OTS_logit_sum": 13.299 | |
| }, | |
| { | |
| "question": "Where was Evan Washburn located while announcing during the game?", | |
| "gold": "sidelines", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Evan Washburn was located on the sidelines.", | |
| "concise_raw": "On the sidelines.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 1.441, | |
| "RoBERTa-FT_logit_sum": 14.007, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 3.433, | |
| "DistilBERT-FT_logit_sum": 1.978, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 2.765, | |
| "RoBERTa-OTS_logit_sum": 8.317, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 1.5495, | |
| "BERT-lg-OTS_logit_sum": 14.052 | |
| }, | |
| { | |
| "question": "What covered Scandinavia, the Baltics, Scotland, and the Alps in the last Ice Age?", | |
| "gold": "ice-sheets", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, ice-sheets covered Scandinavia, the Baltics, Scotland, and the Alps in the last Ice Age.", | |
| "concise_raw": "Ice-sheets", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0137, | |
| "RoBERTa-FT_logit_sum": 13.479, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 5.8374, | |
| "DistilBERT-FT_logit_sum": 0.116, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.1473, | |
| "RoBERTa-OTS_logit_sum": 12.101, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 0.0399, | |
| "BERT-lg-OTS_logit_sum": 17.042 | |
| }, | |
| { | |
| "question": "Why are debates on proposed motions by an MSP conducted?", | |
| "gold": "not a Scottish minister", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, debates on proposed motions by an MSP (Members Business) are conducted to discuss issues that would otherwise not be accorded official parliamentary time. These issues may be of interest to a particular area, such as a member's own constituency, or relate to an upcoming or past event.", | |
| "concise_raw": "To discuss issues not otherwise given official parliamentary time.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.133, | |
| "RoBERTa-FT_entropy": 2.8354, | |
| "RoBERTa-FT_logit_sum": 8.886, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.056, | |
| "DistilBERT-FT_entropy": 7.0906, | |
| "DistilBERT-FT_logit_sum": 1.383, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.133, | |
| "RoBERTa-OTS_entropy": 2.1371, | |
| "RoBERTa-OTS_logit_sum": 12.203, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.133, | |
| "BERT-lg-OTS_entropy": 0.9947, | |
| "BERT-lg-OTS_logit_sum": 15.378 | |
| }, | |
| { | |
| "question": "Which pair of Genghis Khan's sons were most rivalrous?", | |
| "gold": "Chagatai and Jochi", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the most rivalrous pair of Genghis Khan's sons were **Chagatai and Jochi**.", | |
| "concise_raw": "Chagatai and Jochi", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0147, | |
| "RoBERTa-FT_logit_sum": 19.277, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.8278, | |
| "DistilBERT-FT_logit_sum": 10.402, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.1394, | |
| "RoBERTa-OTS_logit_sum": 17.134, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.277, | |
| "BERT-lg-OTS_logit_sum": 17.677 | |
| }, | |
| { | |
| "question": "What soap operas did ABC cancel in 2011?", | |
| "gold": "All My Children and One Life to Live", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, ABC canceled the soap operas **All My Children** and **One Life to Live** in 2011.", | |
| "concise_raw": "All My Children and One Life to Live", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.5443, | |
| "RoBERTa-FT_logit_sum": 15.839, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 3.3378, | |
| "DistilBERT-FT_logit_sum": 11.817, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.1745, | |
| "RoBERTa-OTS_logit_sum": 13.408, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.444, | |
| "BERT-lg-OTS_logit_sum": 14.316 | |
| }, | |
| { | |
| "question": "What happens when the immune system less active than normal?", | |
| "gold": "Immunodeficiency", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "When the immune system is less active than normal, a condition known as immunodeficiency occurs. This results in an increased susceptibility to recurring and life-threatening infections.", | |
| "concise_raw": "Immunodeficiency occurs.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 1.6424, | |
| "RoBERTa-FT_logit_sum": 12.633, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.2048, | |
| "DistilBERT-FT_logit_sum": 9.026, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 3.8721, | |
| "RoBERTa-OTS_logit_sum": 11.79, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.0988, | |
| "BERT-lg-OTS_logit_sum": 14.769 | |
| }, | |
| { | |
| "question": "Which of Genghis Khan's sons completed the conquest of the Jin dynasty?", | |
| "gold": "\u00d6gedei Khan", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the conquest of the Jin dynasty was completed under the reign of Genghis Khan's third son, **\u00d6gedei Khan**.", | |
| "concise_raw": "\u00d6gedei Khan", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.5, | |
| "RoBERTa-FT_entropy": 1.1412, | |
| "RoBERTa-FT_logit_sum": 14.314, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.5, | |
| "DistilBERT-FT_entropy": 1.6058, | |
| "DistilBERT-FT_logit_sum": 10.994, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.9446, | |
| "RoBERTa-OTS_logit_sum": 14.659, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.5, | |
| "BERT-lg-OTS_entropy": 1.242, | |
| "BERT-lg-OTS_logit_sum": 15.98 | |
| }, | |
| { | |
| "question": "Who patented a high-pressure compound engine in 1805?", | |
| "gold": "Arthur Woolf", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the answer is Arthur Woolf.", | |
| "concise_raw": "Arthur Woolf", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.032, | |
| "RoBERTa-FT_logit_sum": 13.598, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4992, | |
| "DistilBERT-FT_logit_sum": 13.049, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 0.3752, | |
| "RoBERTa-OTS_logit_sum": 9.031, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.4513, | |
| "BERT-lg-OTS_logit_sum": 7.882 | |
| }, | |
| { | |
| "question": "How many chloroplasts per cell does algae have?", | |
| "gold": "1", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, algae have **1** chloroplast per cell.", | |
| "concise_raw": "One.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.3604, | |
| "RoBERTa-FT_logit_sum": 4.025, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.4, | |
| "DistilBERT-FT_entropy": 2.0737, | |
| "DistilBERT-FT_logit_sum": 8.448, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.3056, | |
| "RoBERTa-OTS_logit_sum": 8.469, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.8255, | |
| "BERT-lg-OTS_logit_sum": 9.873 | |
| }, | |
| { | |
| "question": "Downtown Santa Monica and Downtown Glendale are a part of which area?", | |
| "gold": "Los Angeles Area", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Downtown Santa Monica and Downtown Glendale are a part of the **Los Angeles Area**.", | |
| "concise_raw": "Los Angeles Area", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.1247, | |
| "RoBERTa-FT_logit_sum": 17.53, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.5508, | |
| "DistilBERT-FT_logit_sum": 5.092, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.1106, | |
| "RoBERTa-OTS_logit_sum": 15.685, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.2818, | |
| "BERT-lg-OTS_logit_sum": 15.05 | |
| }, | |
| { | |
| "question": "What is the civil disobedience called where people refuse to be released?", | |
| "gold": "jail solidarity", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the civil disobedience where people refuse to be released is called **jail solidarity**.", | |
| "concise_raw": "Jail solidarity", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0089, | |
| "RoBERTa-FT_logit_sum": 20.054, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.2982, | |
| "DistilBERT-FT_logit_sum": 15.354, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.0667, | |
| "RoBERTa-OTS_logit_sum": 16.501, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.122, | |
| "BERT-lg-OTS_logit_sum": 18.432 | |
| }, | |
| { | |
| "question": "The Scottish Parliament may legislate as it pleases as long as the powers aren't already reserved by where?", | |
| "gold": "Westminster", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The Scottish Parliament may legislate as it pleases as long as the powers aren't already reserved by **the Parliament of the United Kingdom (Westminster)**.", | |
| "concise_raw": "Westminster", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 1.286, | |
| "RoBERTa-FT_logit_sum": 16.838, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.333, | |
| "DistilBERT-FT_entropy": 2.4766, | |
| "DistilBERT-FT_logit_sum": 7.064, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 3.2581, | |
| "RoBERTa-OTS_logit_sum": 14.241, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.333, | |
| "BERT-lg-OTS_entropy": 2.5432, | |
| "BERT-lg-OTS_logit_sum": 13.965 | |
| }, | |
| { | |
| "question": "What Mongolian system did Kublai's government compromise with?", | |
| "gold": "patrimonial feudalism", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, Kublai Khan's government was a compromise between Mongolian **patrimonial feudalism** and the traditional Chinese autocratic-bureaucratic system.", | |
| "concise_raw": "Patrimonial feudalism", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 0.4883, | |
| "RoBERTa-FT_logit_sum": 12.269, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 3.3187, | |
| "DistilBERT-FT_logit_sum": 6.835, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 3.0915, | |
| "RoBERTa-OTS_logit_sum": 10.618, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.9738, | |
| "BERT-lg-OTS_logit_sum": 12.928 | |
| }, | |
| { | |
| "question": "Which entities were originally concerned with preventing violation of human rights?", | |
| "gold": "member states", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the entities originally concerned with preventing violation of human rights were **member states**.", | |
| "concise_raw": "Member states.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0259, | |
| "RoBERTa-FT_logit_sum": 15.497, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.959, | |
| "DistilBERT-FT_logit_sum": 9.508, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.0317, | |
| "RoBERTa-OTS_logit_sum": 10.657, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.5916, | |
| "BERT-lg-OTS_logit_sum": 13.677 | |
| }, | |
| { | |
| "question": "Who helped Tem\u00fcjin rescue his wife from the Merkits?", | |
| "gold": "Jamukha, and his protector, Toghrul Khan of the Keraite tribe", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Tem\u00fcjin was helped by his friend and future rival, Jamukha, and his protector, Toghrul Khan of the Keraite tribe.", | |
| "concise_raw": "Jamukha and Toghrul Khan.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.8, | |
| "RoBERTa-FT_entropy": 2.1863, | |
| "RoBERTa-FT_logit_sum": 5.873, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.8332, | |
| "DistilBERT-FT_logit_sum": 6.255, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 4.2039, | |
| "RoBERTa-OTS_logit_sum": 5.319, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.8, | |
| "BERT-lg-OTS_entropy": 3.3037, | |
| "BERT-lg-OTS_logit_sum": 9.88 | |
| }, | |
| { | |
| "question": "What is the main defense mechanism of bacteria known as?", | |
| "gold": "the restriction modification system", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, the main defense mechanism of bacteria is known as the **restriction modification system**.", | |
| "concise_raw": "Restriction modification system", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.022, | |
| "RoBERTa-FT_logit_sum": 19.022, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.5933, | |
| "DistilBERT-FT_logit_sum": 12.679, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.1727, | |
| "RoBERTa-OTS_logit_sum": 14.461, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.112, | |
| "BERT-lg-OTS_logit_sum": 15.715 | |
| }, | |
| { | |
| "question": "What do nuclear power plants heat to create electricity?", | |
| "gold": "water", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided text, nuclear power plants heat **water** to create electricity.", | |
| "concise_raw": "Water", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0089, | |
| "RoBERTa-FT_logit_sum": 15.286, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.4869, | |
| "DistilBERT-FT_logit_sum": 12.796, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.8113, | |
| "RoBERTa-OTS_logit_sum": 10.58, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.2738, | |
| "BERT-lg-OTS_logit_sum": 14.766 | |
| }, | |
| { | |
| "question": "Who first described dynamic equilibrium?", | |
| "gold": "Galileo", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, the person who first described dynamic equilibrium was **Galileo**.", | |
| "concise_raw": "Galileo", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0065, | |
| "RoBERTa-FT_logit_sum": 17.631, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.9759, | |
| "DistilBERT-FT_logit_sum": 12.883, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.3166, | |
| "RoBERTa-OTS_logit_sum": 13.768, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.4033, | |
| "BERT-lg-OTS_logit_sum": 11.404 | |
| }, | |
| { | |
| "question": "What was the name of the 50th Anniversary episode?", | |
| "gold": "The Day of the Doctor", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the name of the 50th Anniversary episode is **\"The Day of the Doctor\"**.", | |
| "concise_raw": "\"The Day of the Doctor\"", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0691, | |
| "RoBERTa-FT_logit_sum": 18.527, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.2006, | |
| "DistilBERT-FT_logit_sum": 7.105, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.5328, | |
| "RoBERTa-OTS_logit_sum": 14.443, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.6072, | |
| "BERT-lg-OTS_logit_sum": 17.111 | |
| }, | |
| { | |
| "question": "What service did ABC launch in May 2013?", | |
| "gold": "WATCH ABC", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the service ABC launched in May 2013 is **WATCH ABC**.", | |
| "concise_raw": "WATCH ABC", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.2132, | |
| "RoBERTa-FT_logit_sum": 14.03, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.5417, | |
| "DistilBERT-FT_logit_sum": 9.62, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.1055, | |
| "RoBERTa-OTS_logit_sum": 11.576, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.6594, | |
| "BERT-lg-OTS_logit_sum": 14.372 | |
| }, | |
| { | |
| "question": "Besides the arguments with Rome and his own fellow reformers, what scandal contributed to Luther's failing health?", | |
| "gold": "bigamy of the Philip of Hesse", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the scandal that contributed to Luther's failing health was the **bigamy of the Philip of Hesse incident**.", | |
| "concise_raw": "Philip of Hesse bigamy incident", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 1.0474, | |
| "RoBERTa-FT_logit_sum": 15.834, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.909, | |
| "DistilBERT-FT_entropy": 3.7183, | |
| "DistilBERT-FT_logit_sum": 7.58, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 3.9408, | |
| "RoBERTa-OTS_logit_sum": 8.91, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.909, | |
| "BERT-lg-OTS_entropy": 2.6484, | |
| "BERT-lg-OTS_logit_sum": 14.147 | |
| }, | |
| { | |
| "question": "Approximately how many items are in the costume collection of the V&A?", | |
| "gold": "over 14,000", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, the costume collection contains over 14,000 outfits plus accessories.", | |
| "concise_raw": "Over 14,000.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0189, | |
| "RoBERTa-FT_logit_sum": 20.18, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.25, | |
| "DistilBERT-FT_entropy": 1.7651, | |
| "DistilBERT-FT_logit_sum": 9.291, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 2.3511, | |
| "RoBERTa-OTS_logit_sum": 9.575, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 1.051, | |
| "BERT-lg-OTS_logit_sum": 14.451 | |
| }, | |
| { | |
| "question": "How near to his death was the work published?", | |
| "gold": "three years before", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the work was published three years before his death.", | |
| "concise_raw": "Three years before his death.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 1.0433, | |
| "RoBERTa-FT_logit_sum": 17.053, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.75, | |
| "DistilBERT-FT_entropy": 1.7128, | |
| "DistilBERT-FT_logit_sum": 8.672, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.8, | |
| "RoBERTa-OTS_entropy": 2.7121, | |
| "RoBERTa-OTS_logit_sum": 10.761, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.8, | |
| "BERT-lg-OTS_entropy": 0.5031, | |
| "BERT-lg-OTS_logit_sum": 11.957 | |
| }, | |
| { | |
| "question": "What did the popularity of Luther's translation contribute to?", | |
| "gold": "evolution of the German language", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, the popularity of Luther's translation contributed to the evolution of the German language and literature.", | |
| "concise_raw": "The evolution of the German language and literature.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.8, | |
| "RoBERTa-FT_entropy": 1.6051, | |
| "RoBERTa-FT_logit_sum": 12.007, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.8, | |
| "DistilBERT-FT_entropy": 2.675, | |
| "DistilBERT-FT_logit_sum": 3.014, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.8, | |
| "RoBERTa-OTS_entropy": 2.179, | |
| "RoBERTa-OTS_logit_sum": 10.364, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.8, | |
| "BERT-lg-OTS_entropy": 2.5568, | |
| "BERT-lg-OTS_logit_sum": 12.51 | |
| }, | |
| { | |
| "question": "What did Lepidodinium viride lose?", | |
| "gold": "their original peridinin chloroplast", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, *Lepidodinium viride* lost its **original peridinin chloroplast**.", | |
| "concise_raw": "Its original peridinin chloroplast.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 1.1027, | |
| "RoBERTa-FT_logit_sum": 16.034, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.857, | |
| "DistilBERT-FT_entropy": 3.6888, | |
| "DistilBERT-FT_logit_sum": 6.495, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.75, | |
| "RoBERTa-OTS_entropy": 2.8815, | |
| "RoBERTa-OTS_logit_sum": 13.818, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.75, | |
| "BERT-lg-OTS_entropy": 2.5852, | |
| "BERT-lg-OTS_logit_sum": 13.222 | |
| }, | |
| { | |
| "question": "In what month and year was the AS-258 scheduled to launch?", | |
| "gold": "August 1967", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the AS-258 mission was planned for **August 1967**.", | |
| "concise_raw": "August 1967", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0396, | |
| "RoBERTa-FT_logit_sum": 17.74, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.7044, | |
| "DistilBERT-FT_logit_sum": 10.422, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.0807, | |
| "RoBERTa-OTS_logit_sum": 9.663, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.6775, | |
| "BERT-lg-OTS_logit_sum": 15.878 | |
| }, | |
| { | |
| "question": "On what service could the ESPN Deportes broadcast be streamed?", | |
| "gold": "WatchESPN", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, the ESPN Deportes Spanish broadcast could be streamed through **WatchESPN**.", | |
| "concise_raw": "WatchESPN", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.1163, | |
| "RoBERTa-FT_logit_sum": 14.616, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.3884, | |
| "DistilBERT-FT_logit_sum": 10.592, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 3.2522, | |
| "RoBERTa-OTS_logit_sum": 8.933, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.9777, | |
| "BERT-lg-OTS_logit_sum": 11.712 | |
| }, | |
| { | |
| "question": "What are two factors that directly effect how powerful a Turing machine may or may not be?", | |
| "gold": "time or space", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Two factors that directly affect how powerful a Turing machine may or may not be are:\n\n1. **The amount of time (number of steps) it is allowed to run** \n2. **The amount of memory (tape space) it is allowed to use** \n\nThese resource bounds determine which problems the machine can solve within those limits, and thus define different complexity classes.", | |
| "concise_raw": "Time and space bounds", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.16, | |
| "RoBERTa-FT_entropy": 5.5593, | |
| "RoBERTa-FT_logit_sum": -0.981, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.062, | |
| "DistilBERT-FT_entropy": 6.4237, | |
| "DistilBERT-FT_logit_sum": 4.42, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.133, | |
| "RoBERTa-OTS_entropy": 6.2579, | |
| "RoBERTa-OTS_logit_sum": 6.099, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.16, | |
| "BERT-lg-OTS_entropy": 3.4424, | |
| "BERT-lg-OTS_logit_sum": 9.777 | |
| }, | |
| { | |
| "question": "Fielding H. Garrison believes that the science of geology can be traced to where?", | |
| "gold": "Persia", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, Fielding H. Garrison believes that the science of geology can be traced to **Persia**.", | |
| "concise_raw": "Persia", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0039, | |
| "RoBERTa-FT_logit_sum": 16.233, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.528, | |
| "DistilBERT-FT_logit_sum": 11.497, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.8646, | |
| "RoBERTa-OTS_logit_sum": 12.201, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.8052, | |
| "BERT-lg-OTS_logit_sum": 13.812 | |
| }, | |
| { | |
| "question": "What globally popular half marathon began in 1981?", | |
| "gold": "the Great North Run", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The globally popular half marathon that began in 1981 is the Great North Run.", | |
| "concise_raw": "Great North Run", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.2134, | |
| "RoBERTa-FT_logit_sum": 16.224, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.3911, | |
| "DistilBERT-FT_logit_sum": 9.597, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.661, | |
| "RoBERTa-OTS_logit_sum": 8.519, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.2481, | |
| "BERT-lg-OTS_logit_sum": 14.068 | |
| }, | |
| { | |
| "question": "Who did the FCC rule in favor of in the April 2000 dispute between Time Warner Cable and ABC?", | |
| "gold": "ABC", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The FCC ruled in favor of ABC.", | |
| "concise_raw": "ABC", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0412, | |
| "RoBERTa-FT_logit_sum": 8.414, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.5, | |
| "DistilBERT-FT_entropy": 3.3669, | |
| "DistilBERT-FT_logit_sum": 0.919, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.3687, | |
| "RoBERTa-OTS_logit_sum": 6.257, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.6235, | |
| "BERT-lg-OTS_logit_sum": 10.11 | |
| }, | |
| { | |
| "question": "How many barrels of oil is it estimated Kenya has?", | |
| "gold": "around 10 billion barrels.", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Kenya's oil reserves are estimated to be around **10 billion barrels**.", | |
| "concise_raw": "10 billion barrels.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.5917, | |
| "RoBERTa-FT_logit_sum": 15.48, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.857, | |
| "DistilBERT-FT_entropy": 2.8032, | |
| "DistilBERT-FT_logit_sum": 9.646, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 3.2419, | |
| "RoBERTa-OTS_logit_sum": 9.916, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 2.2516, | |
| "BERT-lg-OTS_logit_sum": 13.976 | |
| }, | |
| { | |
| "question": "What has started to change the way teachers teach in the classroom, generally?", | |
| "gold": "increasing use of technology", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The increasing use of technology, specifically the rise of the internet over the past decade.", | |
| "concise_raw": "Technology, specifically the internet.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.4, | |
| "RoBERTa-FT_entropy": 0.8208, | |
| "RoBERTa-FT_logit_sum": 14.559, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 2.6892, | |
| "DistilBERT-FT_logit_sum": 6.891, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.4, | |
| "RoBERTa-OTS_entropy": 3.8948, | |
| "RoBERTa-OTS_logit_sum": 7.118, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.7866, | |
| "BERT-lg-OTS_logit_sum": 10.297 | |
| }, | |
| { | |
| "question": "What years did Doctor Who win five consecutive awards?", | |
| "gold": "2005\u20132010", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, Doctor Who won five consecutive awards at the National Television Awards from **2005 to 2010**.", | |
| "concise_raw": "2005\u20132010", | |
| "verbose_span": 0, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 0.2348, | |
| "RoBERTa-FT_logit_sum": 10.834, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 3.061, | |
| "DistilBERT-FT_logit_sum": 7.687, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 1.7694, | |
| "RoBERTa-OTS_logit_sum": 12.764, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 2.7667, | |
| "BERT-lg-OTS_logit_sum": 15.526 | |
| }, | |
| { | |
| "question": "Who was it essential to Islam to imitate?", | |
| "gold": "the Prophet Mohammad", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, it was essential to Islam to imitate **the Prophet Mohammad and his successors such as Ali**.", | |
| "concise_raw": "The Prophet Mohammad and his successors such as Ali.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 1.6091, | |
| "RoBERTa-FT_logit_sum": 12.12, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.4, | |
| "DistilBERT-FT_entropy": 2.7904, | |
| "DistilBERT-FT_logit_sum": 9.627, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.999, | |
| "RoBERTa-OTS_logit_sum": 13.312, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.545, | |
| "BERT-lg-OTS_logit_sum": 14.396 | |
| }, | |
| { | |
| "question": "Classification of resources is contingent on determining the upper and lower bounds of minimum time required by what? ", | |
| "gold": "the most efficient algorithm", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The most efficient algorithm solving a given problem.", | |
| "concise_raw": "The most efficient algorithm.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.1314, | |
| "RoBERTa-FT_logit_sum": 16.328, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 2.2841, | |
| "DistilBERT-FT_logit_sum": 7.653, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 0.3119, | |
| "RoBERTa-OTS_logit_sum": 6.488, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.6238, | |
| "BERT-lg-OTS_logit_sum": 4.137 | |
| }, | |
| { | |
| "question": "Was the Use of the DATANET 1 name correct ", | |
| "gold": "use of the name was incorrect all these services were managed by the same people within one department of KPN contributed to the confusion", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the answer is:\n\n**No**, the use of the DATANET 1 name for the Videotex service and the Telepad PAD service was **incorrect** (or \"not strictly correct\").\n\nThe context explicitly states: \"Strictly speaking Datanet 1 only referred to the network and the connected users via leased lines... the name also referred to the public PAD service Telepad... And because the main Videotex service used the network... the name Datanet 1 was used for these services as well. **Although this use of the name was incorrect**...\"", | |
| "concise_raw": "No.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.278, | |
| "RoBERTa-FT_entropy": 2.3452, | |
| "RoBERTa-FT_logit_sum": 15.601, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.278, | |
| "DistilBERT-FT_entropy": 1.5256, | |
| "DistilBERT-FT_logit_sum": 12.302, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.091, | |
| "RoBERTa-OTS_entropy": 5.171, | |
| "RoBERTa-OTS_logit_sum": 12.833, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.286, | |
| "BERT-lg-OTS_entropy": 7.0085, | |
| "BERT-lg-OTS_logit_sum": 5.819 | |
| }, | |
| { | |
| "question": "Which two compounds did Al-Muwaffaq differentiate between?", | |
| "gold": "sodium carbonate and potassium carbonate", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, Al-Muwaffaq made a clear distinction between **sodium carbonate** and **potassium carbonate**.", | |
| "concise_raw": "Sodium carbonate and potassium carbonate", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0613, | |
| "RoBERTa-FT_logit_sum": 17.494, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.571, | |
| "DistilBERT-FT_entropy": 2.1261, | |
| "DistilBERT-FT_logit_sum": 14.5, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.5191, | |
| "RoBERTa-OTS_logit_sum": 11.605, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.2733, | |
| "BERT-lg-OTS_logit_sum": 14.637 | |
| }, | |
| { | |
| "question": "What is the application of prime numbers used in information technology which utilizes the fact that factoring very large prime numbers is very challenging?", | |
| "gold": "public-key cryptography", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the application of prime numbers used in information technology that utilizes the difficulty of factoring large numbers is **public-key cryptography**.", | |
| "concise_raw": "Public-key cryptography.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0118, | |
| "RoBERTa-FT_logit_sum": 19.99, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.4, | |
| "DistilBERT-FT_entropy": 1.7548, | |
| "DistilBERT-FT_logit_sum": 9.163, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.4471, | |
| "RoBERTa-OTS_logit_sum": 16.163, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.4, | |
| "BERT-lg-OTS_entropy": 0.7637, | |
| "BERT-lg-OTS_logit_sum": 17.151 | |
| }, | |
| { | |
| "question": "What do power station steam turbines use as a cold sink in the absence of CHP?", | |
| "gold": "surface condensers", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, power station steam turbines use **surface condensers** as a cold sink in the absence of CHP.", | |
| "concise_raw": "Surface condensers.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0059, | |
| "RoBERTa-FT_logit_sum": 19.646, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.5536, | |
| "DistilBERT-FT_logit_sum": 10.066, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.536, | |
| "RoBERTa-OTS_logit_sum": 16.522, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.171, | |
| "BERT-lg-OTS_logit_sum": 17.791 | |
| }, | |
| { | |
| "question": "What was the occasion for the boat demonstration?", | |
| "gold": "an electrical exhibition", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the occasion for the boat demonstration was an electrical exhibition at Madison Square Garden in 1898.", | |
| "concise_raw": "An electrical exhibition at Madison Square Garden.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 2.7394, | |
| "RoBERTa-FT_logit_sum": 6.617, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 2.2659, | |
| "DistilBERT-FT_logit_sum": 10.115, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 3.004, | |
| "RoBERTa-OTS_logit_sum": 9.242, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.2713, | |
| "BERT-lg-OTS_logit_sum": 13.632 | |
| }, | |
| { | |
| "question": "Where does the Rhine encounter it's tributary the Neckar? ", | |
| "gold": "Germany", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the provided context, the text does not specify the exact location where the Rhine encounters the Neckar. It only states that the Rhine encounters the Neckar, the Main, and later the Moselle, but does not give a specific city or geographic point.", | |
| "concise_raw": "Germany.", | |
| "verbose_span": 0, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 4.7991, | |
| "RoBERTa-FT_logit_sum": -2.425, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 5.4862, | |
| "DistilBERT-FT_logit_sum": 2.346, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 4.4233, | |
| "RoBERTa-OTS_logit_sum": 2.236, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 7.7407, | |
| "BERT-lg-OTS_logit_sum": 0.081 | |
| }, | |
| { | |
| "question": "How many variants is the new ABC logo currently displayed in?", | |
| "gold": "four variants", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the new ABC logo is displayed in **four** variants.", | |
| "concise_raw": "Four.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.0071, | |
| "RoBERTa-FT_logit_sum": 13.995, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 1.2125, | |
| "DistilBERT-FT_logit_sum": 12.283, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 1.9539, | |
| "RoBERTa-OTS_logit_sum": 10.957, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 2.552, | |
| "BERT-lg-OTS_logit_sum": 8.236 | |
| }, | |
| { | |
| "question": "When was the Polish-Bolshevik war fought?", | |
| "gold": "1920", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the Polish-Bolshevik War was fought in **1920**.", | |
| "concise_raw": "1920", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0108, | |
| "RoBERTa-FT_logit_sum": 16.483, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.091, | |
| "DistilBERT-FT_logit_sum": 12.311, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.0842, | |
| "RoBERTa-OTS_logit_sum": 11.727, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.5188, | |
| "BERT-lg-OTS_logit_sum": 14.043 | |
| }, | |
| { | |
| "question": "What is the festival of food and drink known as?", | |
| "gold": "EAT!", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the festival of food and drink is known as **EAT! NewcastleGateshead**.", | |
| "concise_raw": "EAT! NewcastleGateshead", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.9259, | |
| "RoBERTa-FT_logit_sum": 11.586, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 2.2363, | |
| "DistilBERT-FT_logit_sum": 12.29, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 2.061, | |
| "RoBERTa-OTS_logit_sum": 11.512, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 3.0008, | |
| "BERT-lg-OTS_logit_sum": 11.766 | |
| }, | |
| { | |
| "question": "What fueled Luther's concept of Christ and His Salvation?", | |
| "gold": "sale of indulgences", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Luther's concept of \"Christ and His salvation\" was fueled by his **rediscovery** of it. The text states this was the first of two points that became the foundation for the Reformation, and his opposition to indulgences was based on this rediscovery.", | |
| "concise_raw": "Paul's epistles and Augustine's teachings", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 0.3539, | |
| "RoBERTa-FT_logit_sum": 14.339, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 2.6408, | |
| "DistilBERT-FT_logit_sum": 7.129, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.286, | |
| "RoBERTa-OTS_entropy": 2.6632, | |
| "RoBERTa-OTS_logit_sum": 13.382, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.286, | |
| "BERT-lg-OTS_entropy": 2.0408, | |
| "BERT-lg-OTS_logit_sum": 13.561 | |
| }, | |
| { | |
| "question": "What leader led the Dutch Revolt and wrote Apologie?", | |
| "gold": "William the Silent", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the leader who led the Dutch Revolt and wrote the *Apologie* was **William the Silent**.", | |
| "concise_raw": "William the Silent", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0255, | |
| "RoBERTa-FT_logit_sum": 17.016, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.0299, | |
| "DistilBERT-FT_logit_sum": 13.553, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.3314, | |
| "RoBERTa-OTS_logit_sum": 14.983, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.4447, | |
| "BERT-lg-OTS_logit_sum": 16.889 | |
| }, | |
| { | |
| "question": "What does a 2013 report on Nigeria suggest it's growth has done?", | |
| "gold": "risen with increased income inequality", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the 2013 report on Nigeria suggests that its growth has **risen with increased income inequality**.", | |
| "concise_raw": "Risen with increased income inequality.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.75, | |
| "RoBERTa-FT_entropy": 0.0956, | |
| "RoBERTa-FT_logit_sum": 19.667, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.75, | |
| "DistilBERT-FT_entropy": 2.5427, | |
| "DistilBERT-FT_logit_sum": 5.884, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.4714, | |
| "RoBERTa-OTS_logit_sum": 13.746, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.5474, | |
| "BERT-lg-OTS_logit_sum": 13.382 | |
| }, | |
| { | |
| "question": "What consortium was BSkyB excluded from?", | |
| "gold": "ONdigital", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, BSkyB was excluded from the **ONdigital consortium**.", | |
| "concise_raw": "ONdigital", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.9892, | |
| "RoBERTa-FT_logit_sum": 19.521, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 1.4711, | |
| "DistilBERT-FT_logit_sum": 10.328, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.4098, | |
| "RoBERTa-OTS_logit_sum": 13.572, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 1.8214, | |
| "BERT-lg-OTS_logit_sum": 12.815 | |
| }, | |
| { | |
| "question": "What hit reality series debuted for ABC in 2002?", | |
| "gold": "The Bachelor", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The Bachelor", | |
| "concise_raw": "The Bachelor", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 1, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0389, | |
| "RoBERTa-FT_logit_sum": 14.396, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.0649, | |
| "DistilBERT-FT_logit_sum": 13.994, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 0.7918, | |
| "RoBERTa-OTS_logit_sum": 5.336, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.0503, | |
| "BERT-lg-OTS_logit_sum": 12.599 | |
| }, | |
| { | |
| "question": "What act sets the term for judging the boundaries of sanity to which individuals wishing to sit on the SP must adhere?", | |
| "gold": "Mental Health (Care and Treatment) (Scotland) Act 2003", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text provided, the act that sets the term for judging the boundaries of sanity is the **Mental Health (Care and Treatment) (Scotland) Act 2003**.", | |
| "concise_raw": "Mental Health (Care and Treatment) (Scotland) Act 2003", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0734, | |
| "RoBERTa-FT_logit_sum": 14.51, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.253, | |
| "DistilBERT-FT_logit_sum": 11.391, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 3.1272, | |
| "RoBERTa-OTS_logit_sum": 8.488, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.0949, | |
| "BERT-lg-OTS_logit_sum": 16.228 | |
| }, | |
| { | |
| "question": "One country's authority over a number of others would constitute the original country as what?", | |
| "gold": "empires", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, one country's authority over a number of others would constitute the original country as an **empire**.", | |
| "concise_raw": "An empire", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 0.4232, | |
| "RoBERTa-FT_logit_sum": 15.103, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 0.9236, | |
| "DistilBERT-FT_logit_sum": 11.252, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.137, | |
| "RoBERTa-OTS_logit_sum": 14.045, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 2.0823, | |
| "BERT-lg-OTS_logit_sum": 15.575 | |
| }, | |
| { | |
| "question": "What is the density of all primes compatible with a modulo 9?", | |
| "gold": "1/6", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the primes are distributed equally among the rows where \\(a\\) and \\(9\\) are coprime. \n\nThe numbers coprime to 9 are: \n1, 2, 4, 5, 7, 8 \u2014 that\u2019s 6 numbers. \n\nSince the density is equal among these, the density for each such \\(a\\) is:\n\n\\[\n\\frac{1}{6}\n\\]\n\nSo the density of all primes compatible with a given \\(a\\) modulo 9 (where \\(\\gcd(a,9)=1\\)) is:\n\n\\[\n\\boxed{\\frac{1}{6}}\n\\]", | |
| "concise_raw": "1/6", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 8.0788, | |
| "RoBERTa-FT_logit_sum": -3.195, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 9.5956, | |
| "DistilBERT-FT_logit_sum": 1.416, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 7.8542, | |
| "RoBERTa-OTS_logit_sum": 5.841, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 1.7459, | |
| "BERT-lg-OTS_logit_sum": 12.473 | |
| }, | |
| { | |
| "question": "Who works to get workers higher compensation?", | |
| "gold": "Professional and labor organizations", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, the entities that work to get workers higher compensation are **professional and labor organizations**.", | |
| "concise_raw": "Professional and labor organizations.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0174, | |
| "RoBERTa-FT_logit_sum": 13.518, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.5362, | |
| "DistilBERT-FT_logit_sum": 10.094, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.0184, | |
| "RoBERTa-OTS_logit_sum": 11.434, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.7996, | |
| "BERT-lg-OTS_logit_sum": 11.714 | |
| }, | |
| { | |
| "question": "What was the name of the serial where the Valeyard appears?", | |
| "gold": "The Trial of a Time Lord", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the serial where the Valeyard appears is **The Trial of a Time Lord**.", | |
| "concise_raw": "The Trial of a Time Lord", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0614, | |
| "RoBERTa-FT_logit_sum": 17.391, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.5845, | |
| "DistilBERT-FT_logit_sum": 9.158, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.67, | |
| "RoBERTa-OTS_logit_sum": 13.858, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.5035, | |
| "BERT-lg-OTS_logit_sum": 16.662 | |
| }, | |
| { | |
| "question": "What forces should serve as a brake on wealth concentration?", | |
| "gold": "market", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, market forces should serve as a brake on wealth concentration.", | |
| "concise_raw": "Market forces", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.1661, | |
| "RoBERTa-FT_logit_sum": 17.053, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.2, | |
| "DistilBERT-FT_entropy": 1.6337, | |
| "DistilBERT-FT_logit_sum": 4.469, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.1614, | |
| "RoBERTa-OTS_logit_sum": 10.469, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 0.9893, | |
| "BERT-lg-OTS_logit_sum": 13.955 | |
| }, | |
| { | |
| "question": "What yard marker on the field was painted gold?", | |
| "gold": "50", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the **50-yard line** was painted gold.", | |
| "concise_raw": "The 50-yard line.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 0.108, | |
| "RoBERTa-FT_logit_sum": 17.003, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.5, | |
| "DistilBERT-FT_entropy": 1.8008, | |
| "DistilBERT-FT_logit_sum": 11.391, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.5048, | |
| "RoBERTa-OTS_logit_sum": 12.1, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.5, | |
| "BERT-lg-OTS_entropy": 1.3236, | |
| "BERT-lg-OTS_logit_sum": 14.554 | |
| }, | |
| { | |
| "question": "When did the first French language bible appear?", | |
| "gold": "Around 1294", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the first French language Bible appeared around **1294**, when a French version of the Scriptures was prepared by Guyard de Moulin.", | |
| "concise_raw": "1487", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.4257, | |
| "RoBERTa-FT_logit_sum": 20.384, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 1.5744, | |
| "DistilBERT-FT_logit_sum": 11.994, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 2.2409, | |
| "RoBERTa-OTS_logit_sum": 14.364, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.4715, | |
| "BERT-lg-OTS_logit_sum": 14.676 | |
| }, | |
| { | |
| "question": "When did Gerhard Lessing reach his conclusions about Luther?", | |
| "gold": "1755", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the individual who reached conclusions about Luther was **Lessing**, not Gerhard. The text states that **Lessing (1755)** had earlier reached the same conclusion as Franz Pieper regarding Luther's teaching differing from later Lutheran theologians like Johann Gerhard.\n\nTherefore, Lessing reached his conclusions in **1755**.", | |
| "concise_raw": "1755", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0048, | |
| "RoBERTa-FT_logit_sum": 20.474, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.091, | |
| "DistilBERT-FT_entropy": 5.5175, | |
| "DistilBERT-FT_logit_sum": 5.317, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.9335, | |
| "RoBERTa-OTS_logit_sum": 9.442, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 3.2153, | |
| "BERT-lg-OTS_logit_sum": 10.564 | |
| }, | |
| { | |
| "question": "What sort of motion did Watt's steam engine continuously produce?", | |
| "gold": "rotary", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Rotary motion.", | |
| "concise_raw": "Rotary motion.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.0184, | |
| "RoBERTa-FT_logit_sum": 20.372, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.0231, | |
| "DistilBERT-FT_logit_sum": 12.529, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 1.7606, | |
| "RoBERTa-OTS_logit_sum": 9.404, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.978, | |
| "BERT-lg-OTS_logit_sum": 14.736 | |
| }, | |
| { | |
| "question": "What is one of the reason that underdeveloped nations received aid from the oil income?", | |
| "gold": "shrinking Western demand", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "One reason underdeveloped nations received aid from the oil income was because their economies were struggling due to higher oil prices, lower prices for their own export commodities, and shrinking Western demand.", | |
| "concise_raw": "Higher oil prices and lower export commodity prices.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 1.9606, | |
| "RoBERTa-FT_logit_sum": 16.084, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.353, | |
| "DistilBERT-FT_entropy": 4.8955, | |
| "DistilBERT-FT_logit_sum": 2.042, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 3.2946, | |
| "RoBERTa-OTS_logit_sum": 12.486, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 3.5761, | |
| "BERT-lg-OTS_logit_sum": 13.73 | |
| }, | |
| { | |
| "question": "What approach did Oppenheimer advocate?", | |
| "gold": "concurring, smaller assessments of special problems", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Michael Oppenheimer advocated for **concurring, smaller assessments of special problems** instead of the large-scale approach used in previous IPCC reports. He also emphasized the importance of providing a broader exploration of uncertainties.", | |
| "concise_raw": "Concurring, smaller assessments of special problems.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 1.9601, | |
| "RoBERTa-FT_logit_sum": 7.701, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.375, | |
| "DistilBERT-FT_entropy": 2.8596, | |
| "DistilBERT-FT_logit_sum": 5.846, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 4.5635, | |
| "RoBERTa-OTS_logit_sum": 8.731, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.8344, | |
| "BERT-lg-OTS_logit_sum": 13.535 | |
| }, | |
| { | |
| "question": "When might starch grains become overly large?", | |
| "gold": "Under conditions such as high atmospheric CO2 concentrations", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, starch grains become overly large under conditions such as **high atmospheric CO2 concentrations** and when plants have **waterlogged roots**.", | |
| "concise_raw": "High atmospheric CO\u2082 or waterlogged roots.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.444, | |
| "RoBERTa-FT_entropy": 2.0234, | |
| "RoBERTa-FT_logit_sum": 12.952, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 3.1551, | |
| "DistilBERT-FT_logit_sum": 9.573, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.727, | |
| "RoBERTa-OTS_entropy": 4.1281, | |
| "RoBERTa-OTS_logit_sum": 11.604, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.727, | |
| "BERT-lg-OTS_entropy": 4.3142, | |
| "BERT-lg-OTS_logit_sum": 11.167 | |
| }, | |
| { | |
| "question": "When did Hulu begin offering ABC's programs for streaming?", | |
| "gold": "July 6, 2009", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Hulu began offering ABC's programs for streaming on **July 6, 2009**.", | |
| "concise_raw": "July 6, 2009", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.8305, | |
| "RoBERTa-FT_logit_sum": 14.377, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.2071, | |
| "DistilBERT-FT_logit_sum": 10.004, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.6252, | |
| "RoBERTa-OTS_logit_sum": 9.482, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.963, | |
| "BERT-lg-OTS_logit_sum": 17.196 | |
| }, | |
| { | |
| "question": "Who wrote the poem The Mark of Anarchy?", | |
| "gold": "Percy Shelley", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the poem was written by **Percy Shelley**.", | |
| "concise_raw": "Percy Shelley", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.042, | |
| "RoBERTa-FT_logit_sum": 15.224, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.5827, | |
| "DistilBERT-FT_logit_sum": 13.925, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.8488, | |
| "RoBERTa-OTS_logit_sum": 11.427, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.6303, | |
| "BERT-lg-OTS_logit_sum": 14.947 | |
| }, | |
| { | |
| "question": "On what scale would scientists show measurements of vegetation?", | |
| "gold": "global", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, scientists would show measurements of vegetation on a **global scale**.", | |
| "concise_raw": "Global scale.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.9083, | |
| "RoBERTa-FT_logit_sum": 16.457, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 1.7282, | |
| "DistilBERT-FT_logit_sum": 10.388, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 2.9346, | |
| "RoBERTa-OTS_logit_sum": 13.265, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 2.7786, | |
| "BERT-lg-OTS_logit_sum": 15.112 | |
| }, | |
| { | |
| "question": "Which Super Bowl did Roger Goodell speak about?", | |
| "gold": "the 50th Super Bowl", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Roger Goodell spoke about **Super Bowl 50**.", | |
| "concise_raw": "Super Bowl 50", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.3839, | |
| "RoBERTa-FT_logit_sum": 16.544, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 1.7066, | |
| "DistilBERT-FT_logit_sum": 8.372, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 1.2003, | |
| "RoBERTa-OTS_logit_sum": 15.622, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 0.5086, | |
| "BERT-lg-OTS_logit_sum": 13.529 | |
| }, | |
| { | |
| "question": "What does oxygen cause to form on metals?", | |
| "gold": "oxide", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, oxygen causes a **thin film of oxide** to form on metals.", | |
| "concise_raw": "A thin film of oxide.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.4, | |
| "RoBERTa-FT_entropy": 0.3692, | |
| "RoBERTa-FT_logit_sum": 12.901, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.4, | |
| "DistilBERT-FT_entropy": 2.2244, | |
| "DistilBERT-FT_logit_sum": 12.575, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.4, | |
| "RoBERTa-OTS_entropy": 2.4359, | |
| "RoBERTa-OTS_logit_sum": 10.25, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.4, | |
| "BERT-lg-OTS_entropy": 2.1213, | |
| "BERT-lg-OTS_logit_sum": 13.952 | |
| }, | |
| { | |
| "question": "Who long was the broadcast delay claimed to be the first time the series premiered?", | |
| "gold": "ten minutes", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the claim was that the broadcast delay was **ten minutes**.", | |
| "concise_raw": "Ten minutes.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.033, | |
| "RoBERTa-FT_logit_sum": 14.114, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.8697, | |
| "DistilBERT-FT_logit_sum": 11.259, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.6074, | |
| "RoBERTa-OTS_logit_sum": 8.275, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.0611, | |
| "BERT-lg-OTS_logit_sum": 13.668 | |
| }, | |
| { | |
| "question": "In the 10th week of the 2015 season, what injury was Peyton Manning dealing with?", | |
| "gold": "plantar fasciitis", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "In the 10th week of the 2015 season, Peyton Manning was dealing with a partial tear of the plantar fasciitis in his left foot.", | |
| "concise_raw": "Partial tear of plantar fasciitis in left foot.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.364, | |
| "RoBERTa-FT_entropy": 2.4257, | |
| "RoBERTa-FT_logit_sum": 13.507, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.364, | |
| "DistilBERT-FT_entropy": 3.7084, | |
| "DistilBERT-FT_logit_sum": 4.075, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.364, | |
| "RoBERTa-OTS_entropy": 3.3327, | |
| "RoBERTa-OTS_logit_sum": 13.638, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.571, | |
| "BERT-lg-OTS_entropy": 2.9312, | |
| "BERT-lg-OTS_logit_sum": 12.282 | |
| }, | |
| { | |
| "question": "What are the most powerful class of anti-inflammatory drugs?", | |
| "gold": "Glucocorticoids", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the most powerful class of anti-inflammatory drugs are **glucocorticoids**.", | |
| "concise_raw": "Glucocorticoids", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0033, | |
| "RoBERTa-FT_logit_sum": 20.557, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.6304, | |
| "DistilBERT-FT_logit_sum": 15.322, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.1478, | |
| "RoBERTa-OTS_logit_sum": 16.381, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.7215, | |
| "BERT-lg-OTS_logit_sum": 18.122 | |
| }, | |
| { | |
| "question": "Who does BSkyB have an operating license from?", | |
| "gold": "Ofcom", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, BSkyB has an operating license from **Ofcom**.", | |
| "concise_raw": "Ofcom", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0092, | |
| "RoBERTa-FT_logit_sum": 16.251, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.8406, | |
| "DistilBERT-FT_logit_sum": 9.975, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.7505, | |
| "RoBERTa-OTS_logit_sum": 12.874, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.7274, | |
| "BERT-lg-OTS_logit_sum": 12.937 | |
| }, | |
| { | |
| "question": "Who applies European Union law?", | |
| "gold": "courts of member states and the Court of Justice of the European Union", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, European Union law is applied by the courts of member states and the Court of Justice of the European Union.", | |
| "concise_raw": "Courts of member states and the Court of Justice of the European Union.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 1.0333, | |
| "RoBERTa-FT_logit_sum": 12.748, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 4.2689, | |
| "DistilBERT-FT_logit_sum": 2.131, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.0727, | |
| "RoBERTa-OTS_logit_sum": 13.992, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.1079, | |
| "BERT-lg-OTS_logit_sum": 11.106 | |
| }, | |
| { | |
| "question": "What was the term Kennedy used to show that America was falling behind the Soviet Union due to inactivity in space programs?", | |
| "gold": "missile gap", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the term Kennedy used was the **\"missile gap.\"**", | |
| "concise_raw": "missile gap", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0312, | |
| "RoBERTa-FT_logit_sum": 19.795, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.3098, | |
| "DistilBERT-FT_logit_sum": 12.153, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.1636, | |
| "RoBERTa-OTS_logit_sum": 11.414, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.8394, | |
| "BERT-lg-OTS_logit_sum": 15.102 | |
| }, | |
| { | |
| "question": "What spinoff of Happy Days debuted in 1976?", | |
| "gold": "Laverne & Shirley", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the spin-off of *Happy Days* that debuted in 1976 is **Laverne & Shirley**.", | |
| "concise_raw": "Laverne & Shirley", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0261, | |
| "RoBERTa-FT_logit_sum": 17.825, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.5224, | |
| "DistilBERT-FT_logit_sum": 10.112, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.548, | |
| "RoBERTa-OTS_logit_sum": 15.586, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.6772, | |
| "BERT-lg-OTS_logit_sum": 18.73 | |
| }, | |
| { | |
| "question": "What are the principal cash crops in Kenya?", | |
| "gold": "tea, horticultural produce, and coffee", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the principal cash crops in Kenya are tea, horticultural produce, and coffee.", | |
| "concise_raw": "Tea, horticultural produce, and coffee.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.8254, | |
| "RoBERTa-FT_logit_sum": 12.367, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.7688, | |
| "DistilBERT-FT_logit_sum": 11.515, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 0.2397, | |
| "RoBERTa-OTS_logit_sum": 14.771, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.0599, | |
| "BERT-lg-OTS_logit_sum": 16.53 | |
| }, | |
| { | |
| "question": "What is another general concept that applies to elements of commutative rings?", | |
| "gold": "irreducible elements", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "In the ring of integers, the set of prime elements equals the set of irreducible elements, which is **the set of prime numbers** (up to multiplication by units, i.e., \u00b11).", | |
| "concise_raw": "Prime elements and irreducible elements.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 3.3978, | |
| "RoBERTa-FT_logit_sum": 9.537, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 6.2242, | |
| "DistilBERT-FT_logit_sum": 5.387, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 1.2447, | |
| "RoBERTa-OTS_logit_sum": 8.704, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 5.7561, | |
| "BERT-lg-OTS_logit_sum": 5.165 | |
| }, | |
| { | |
| "question": "How many residents of Seville died of plague in 1649?", | |
| "gold": "reduced the population of Seville by half", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the plague of 1649 probably reduced the population of Seville by half. However, the text does not specify the exact number of residents who died, only that the population was reduced by half. Without the original population figure for Seville in 1649, the exact number of deaths cannot be determined from the given information.\n\n**Answer:** The context does not provide the exact number of residents who died, only that the plague reduced the population by half.", | |
| "concise_raw": "Half.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.286, | |
| "RoBERTa-FT_entropy": 0.7624, | |
| "RoBERTa-FT_logit_sum": 6.384, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.194, | |
| "DistilBERT-FT_entropy": 7.0006, | |
| "DistilBERT-FT_logit_sum": 1.871, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.286, | |
| "RoBERTa-OTS_entropy": 6.9552, | |
| "RoBERTa-OTS_logit_sum": 2.349, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.435, | |
| "BERT-lg-OTS_entropy": 8.4627, | |
| "BERT-lg-OTS_logit_sum": 1.092 | |
| }, | |
| { | |
| "question": "In what century did Mayow and Boyle perform their experiments?", | |
| "gold": "17th century", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Mayow lived from 1641 to 1679 and Boyle performed his experiments in the late 17th century. Therefore, they performed their experiments in the **17th century**.", | |
| "concise_raw": "17th century", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.2667, | |
| "RoBERTa-FT_logit_sum": 19.28, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.333, | |
| "DistilBERT-FT_entropy": 5.0645, | |
| "DistilBERT-FT_logit_sum": 5.308, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 3.6054, | |
| "RoBERTa-OTS_logit_sum": 14.127, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 4.1005, | |
| "BERT-lg-OTS_logit_sum": 12.188 | |
| }, | |
| { | |
| "question": "From what pad was Apollo 5 launched from?", | |
| "gold": "pad 37", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Apollo 5 was launched from **pad 37**.", | |
| "concise_raw": "Pad 37", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.1773, | |
| "RoBERTa-FT_logit_sum": 18.003, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.5166, | |
| "DistilBERT-FT_logit_sum": 10.591, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 1.8054, | |
| "RoBERTa-OTS_logit_sum": 12.533, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.8073, | |
| "BERT-lg-OTS_logit_sum": 12.249 | |
| }, | |
| { | |
| "question": "When did Kublai move the Mongol capital?", | |
| "gold": "1264", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Kublai readied the move of the Mongol capital from Karakorum to Khanbaliq in **1264**.", | |
| "concise_raw": "1264", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0147, | |
| "RoBERTa-FT_logit_sum": 20.564, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.0408, | |
| "DistilBERT-FT_logit_sum": 11.403, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.2402, | |
| "RoBERTa-OTS_logit_sum": 13.178, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.3643, | |
| "BERT-lg-OTS_logit_sum": 13.097 | |
| }, | |
| { | |
| "question": "Which son did Genghis Khan view as his most dependable one?", | |
| "gold": "\u00d6gedei", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Genghis Khan viewed **\u00d6gedei** as his most dependable son.", | |
| "concise_raw": "\u00d6gedei", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 0.9082, | |
| "RoBERTa-FT_logit_sum": 18.963, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 1.0188, | |
| "DistilBERT-FT_logit_sum": 13.166, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.622, | |
| "RoBERTa-OTS_logit_sum": 15.565, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 1.3786, | |
| "BERT-lg-OTS_logit_sum": 15.416 | |
| }, | |
| { | |
| "question": "When was Al-Banna assassinated?", | |
| "gold": "1949", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Al-Banna was assassinated in **1949**.", | |
| "concise_raw": "1949", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0127, | |
| "RoBERTa-FT_logit_sum": 20.19, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.0613, | |
| "DistilBERT-FT_logit_sum": 12.325, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.1584, | |
| "RoBERTa-OTS_logit_sum": 15.406, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.2157, | |
| "BERT-lg-OTS_logit_sum": 15.402 | |
| }, | |
| { | |
| "question": "What inventor built on to the findings of Philo of Byzantium?", | |
| "gold": "Leonardo da Vinci", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Leonardo da Vinci.", | |
| "concise_raw": "Leonardo da Vinci", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 1, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0503, | |
| "RoBERTa-FT_logit_sum": 19.0, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 0.936, | |
| "DistilBERT-FT_logit_sum": 14.124, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 1.6769, | |
| "RoBERTa-OTS_logit_sum": 7.639, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.2384, | |
| "BERT-lg-OTS_logit_sum": 12.072 | |
| }, | |
| { | |
| "question": "How early did Luther say he had to awaken every day?", | |
| "gold": "at four", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Luther said he had to awaken at four every morning.", | |
| "concise_raw": "Four o'clock.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.0146, | |
| "RoBERTa-FT_logit_sum": 14.446, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.0403, | |
| "DistilBERT-FT_logit_sum": 8.63, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 0.3983, | |
| "RoBERTa-OTS_logit_sum": 12.243, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 0.2211, | |
| "BERT-lg-OTS_logit_sum": 13.183 | |
| }, | |
| { | |
| "question": "What has a classification system for construction companies?", | |
| "gold": "The Standard Industrial Classification and the newer North American Industry Classification System", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The Standard Industrial Classification and the newer North American Industry Classification System.", | |
| "concise_raw": "The Standard Industrial Classification and the North American Industry Classification System.", | |
| "verbose_span": 1, | |
| "concise_span": 0, | |
| "ext_first_em": 1, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.182, | |
| "RoBERTa-FT_entropy": 1.633, | |
| "RoBERTa-FT_logit_sum": 15.668, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 2.4739, | |
| "DistilBERT-FT_logit_sum": 4.076, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.4029, | |
| "RoBERTa-OTS_logit_sum": 5.957, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.462, | |
| "BERT-lg-OTS_entropy": 3.2594, | |
| "BERT-lg-OTS_logit_sum": 9.076 | |
| }, | |
| { | |
| "question": "What powered Tesla's high energy terminal vacuum tube?", | |
| "gold": "Tesla Coil", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Tesla's high energy single terminal vacuum tube was powered by the output of the Tesla Coil.", | |
| "concise_raw": "Tesla Coil", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0705, | |
| "RoBERTa-FT_logit_sum": 16.826, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.235, | |
| "DistilBERT-FT_entropy": 4.7097, | |
| "DistilBERT-FT_logit_sum": 1.293, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.8895, | |
| "RoBERTa-OTS_logit_sum": 15.312, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.999, | |
| "BERT-lg-OTS_logit_sum": 14.739 | |
| }, | |
| { | |
| "question": "When a plant is injured, what can become proplastids?", | |
| "gold": "chloroplasts and other plastids", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, when a plant is injured, **chloroplasts and other plastids** can become proplastids.", | |
| "concise_raw": "Chloroplasts and other plastids.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.3082, | |
| "RoBERTa-FT_logit_sum": 20.368, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.727, | |
| "DistilBERT-FT_entropy": 3.0265, | |
| "DistilBERT-FT_logit_sum": 5.916, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.3104, | |
| "RoBERTa-OTS_logit_sum": 16.133, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.217, | |
| "BERT-lg-OTS_logit_sum": 16.607 | |
| }, | |
| { | |
| "question": "Tension, compression, and drag are what kind of forces?", | |
| "gold": "Nonconservative", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, tension, compression, and drag are **nonconservative forces**.", | |
| "concise_raw": "Nonconservative forces.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.0177, | |
| "RoBERTa-FT_logit_sum": 20.212, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 1.53, | |
| "DistilBERT-FT_logit_sum": 11.626, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 1.8669, | |
| "RoBERTa-OTS_logit_sum": 15.221, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.9909, | |
| "BERT-lg-OTS_logit_sum": 18.941 | |
| }, | |
| { | |
| "question": "What did the early entrant program do for potential students?", | |
| "gold": "allowed very young students to attend college", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context, the early entrant program allowed very young students to attend college.", | |
| "concise_raw": "Allowed very young students to attend college.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.1013, | |
| "RoBERTa-FT_logit_sum": 14.707, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.923, | |
| "DistilBERT-FT_entropy": 1.0119, | |
| "DistilBERT-FT_logit_sum": 5.834, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.8336, | |
| "RoBERTa-OTS_logit_sum": 12.485, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.8799, | |
| "BERT-lg-OTS_logit_sum": 12.792 | |
| }, | |
| { | |
| "question": "What can people work towards if they aren't denied their functionings, capabilities and agency?", | |
| "gold": "a better relevant income.", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, if people aren't denied their functionings, capabilities, and agency, they can work towards **a better relevant income**.", | |
| "concise_raw": "A better relevant income.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.8862, | |
| "RoBERTa-FT_logit_sum": 14.274, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.1954, | |
| "DistilBERT-FT_logit_sum": 11.186, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.5928, | |
| "RoBERTa-OTS_logit_sum": 16.496, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 1.8274, | |
| "BERT-lg-OTS_logit_sum": 16.042 | |
| }, | |
| { | |
| "question": "How did the settlers protect their interests?", | |
| "gold": "banned the growing of coffee, introduced a hut tax, and the landless were granted less and less land in exchange for their labour", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the settlers protected their interests by banning the growing of coffee, introducing a hut tax, and granting the landless less and less land in exchange for their labour.", | |
| "concise_raw": "They banned coffee, introduced a hut tax, and reduced land for labour.", | |
| "verbose_span": 0, | |
| "concise_span": 0, | |
| "ext_first_em": 0, | |
| "concise_em": 0, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.25, | |
| "RoBERTa-FT_entropy": 2.9673, | |
| "RoBERTa-FT_logit_sum": 5.484, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.095, | |
| "DistilBERT-FT_entropy": 3.1547, | |
| "DistilBERT-FT_logit_sum": 7.289, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.24, | |
| "RoBERTa-OTS_entropy": 3.3715, | |
| "RoBERTa-OTS_logit_sum": 11.078, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.8, | |
| "BERT-lg-OTS_entropy": 3.7528, | |
| "BERT-lg-OTS_logit_sum": 10.416 | |
| }, | |
| { | |
| "question": "Evidence indicates that Cydippids are not what?", | |
| "gold": "monophyletic", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the text, evidence indicates that Cydippids are not **monophyletic**.", | |
| "concise_raw": "Monophyletic", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0064, | |
| "RoBERTa-FT_logit_sum": 19.207, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.8315, | |
| "DistilBERT-FT_logit_sum": 9.174, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.6126, | |
| "RoBERTa-OTS_logit_sum": 13.403, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.9818, | |
| "BERT-lg-OTS_logit_sum": 14.444 | |
| }, | |
| { | |
| "question": "What is an example of a pump component?", | |
| "gold": "injector", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, an example of a pump component is an **injector**.", | |
| "concise_raw": "Injector", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0274, | |
| "RoBERTa-FT_logit_sum": 19.355, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 2.2571, | |
| "DistilBERT-FT_logit_sum": 9.196, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.3231, | |
| "RoBERTa-OTS_logit_sum": 12.171, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.3921, | |
| "BERT-lg-OTS_logit_sum": 15.913 | |
| }, | |
| { | |
| "question": "In what compound is oxygen part of a ring arrangement?", | |
| "gold": "Epoxides", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "In the context provided, the compound where oxygen is part of a ring arrangement is an **epoxide**, which is described as an ether where the oxygen atom is part of a three-atom ring.", | |
| "concise_raw": "Epoxides", | |
| "verbose_span": 0, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.0, | |
| "RoBERTa-FT_entropy": 0.044, | |
| "RoBERTa-FT_logit_sum": 13.531, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 1.7292, | |
| "DistilBERT-FT_logit_sum": 11.953, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.0, | |
| "RoBERTa-OTS_entropy": 2.855, | |
| "RoBERTa-OTS_logit_sum": 10.437, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.0, | |
| "BERT-lg-OTS_entropy": 1.8662, | |
| "BERT-lg-OTS_logit_sum": 16.088 | |
| }, | |
| { | |
| "question": "What is the name of the largest university press in the U.S?", | |
| "gold": "University of Chicago Press", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the largest university press in the U.S. is the **University of Chicago Press**.", | |
| "concise_raw": "University of Chicago Press", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0194, | |
| "RoBERTa-FT_logit_sum": 16.118, | |
| "DistilBERT-FT_em": 1, | |
| "DistilBERT-FT_f1": 1.0, | |
| "DistilBERT-FT_entropy": 1.0997, | |
| "DistilBERT-FT_logit_sum": 12.558, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.6006, | |
| "RoBERTa-OTS_logit_sum": 14.452, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 0.5683, | |
| "BERT-lg-OTS_logit_sum": 17.729 | |
| }, | |
| { | |
| "question": "What was Tesla's belief as to the selling price of the biplane?", | |
| "gold": "less than $1,000", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, Tesla believed the biplane would sell for **less than $1,000**.", | |
| "concise_raw": "Less than $1,000.", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.0073, | |
| "RoBERTa-FT_logit_sum": 18.645, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.0, | |
| "DistilBERT-FT_entropy": 2.8714, | |
| "DistilBERT-FT_logit_sum": 8.706, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 2.3223, | |
| "RoBERTa-OTS_logit_sum": 13.866, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.571, | |
| "BERT-lg-OTS_entropy": 2.6207, | |
| "BERT-lg-OTS_logit_sum": 10.016 | |
| }, | |
| { | |
| "question": "What did Tesla establish following his Colorado experiments?", | |
| "gold": "Wardenclyffe", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, following his Colorado experiments, Tesla established the trans-Atlantic wireless telecommunications facility known as Wardenclyffe near Shoreham, Long Island.", | |
| "concise_raw": "Wardenclyffe", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.25, | |
| "RoBERTa-FT_entropy": 2.145, | |
| "RoBERTa-FT_logit_sum": 15.314, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.222, | |
| "DistilBERT-FT_entropy": 2.8016, | |
| "DistilBERT-FT_logit_sum": 7.777, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.25, | |
| "RoBERTa-OTS_entropy": 3.0576, | |
| "RoBERTa-OTS_logit_sum": 14.295, | |
| "BERT-lg-OTS_em": 1, | |
| "BERT-lg-OTS_f1": 1.0, | |
| "BERT-lg-OTS_entropy": 2.8682, | |
| "BERT-lg-OTS_logit_sum": 13.224 | |
| }, | |
| { | |
| "question": "Where did the highwaymen take Luther?", | |
| "gold": "Wartburg Castle", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "Based on the context provided, the highwaymen took Luther to the **Wartburg Castle at Eisenach**.", | |
| "concise_raw": "Wartburg Castle", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 0, | |
| "RoBERTa-FT_f1": 0.667, | |
| "RoBERTa-FT_entropy": 0.118, | |
| "RoBERTa-FT_logit_sum": 16.146, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.667, | |
| "DistilBERT-FT_entropy": 2.8295, | |
| "DistilBERT-FT_logit_sum": 10.766, | |
| "RoBERTa-OTS_em": 0, | |
| "RoBERTa-OTS_f1": 0.667, | |
| "RoBERTa-OTS_entropy": 2.9768, | |
| "RoBERTa-OTS_logit_sum": 11.643, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.667, | |
| "BERT-lg-OTS_entropy": 2.3628, | |
| "BERT-lg-OTS_logit_sum": 10.836 | |
| }, | |
| { | |
| "question": "When did the movement that would become The United Methodist Church begin?", | |
| "gold": "mid-18th century", | |
| "dataset": "squad", | |
| "retrieval": "oracle", | |
| "verbose_raw": "The movement that would become The United Methodist Church began in the mid-18th century.", | |
| "concise_raw": "mid-18th century", | |
| "verbose_span": 1, | |
| "concise_span": 1, | |
| "ext_first_em": 0, | |
| "concise_em": 1, | |
| "RoBERTa-FT_em": 1, | |
| "RoBERTa-FT_f1": 1.0, | |
| "RoBERTa-FT_entropy": 0.5599, | |
| "RoBERTa-FT_logit_sum": 17.217, | |
| "DistilBERT-FT_em": 0, | |
| "DistilBERT-FT_f1": 0.5, | |
| "DistilBERT-FT_entropy": 2.6282, | |
| "DistilBERT-FT_logit_sum": 5.445, | |
| "RoBERTa-OTS_em": 1, | |
| "RoBERTa-OTS_f1": 1.0, | |
| "RoBERTa-OTS_entropy": 1.6761, | |
| "RoBERTa-OTS_logit_sum": 15.078, | |
| "BERT-lg-OTS_em": 0, | |
| "BERT-lg-OTS_f1": 0.4, | |
| "BERT-lg-OTS_entropy": 1.8783, | |
| "BERT-lg-OTS_logit_sum": 15.435 | |
| } | |
| ] |