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Detailed Instructions: In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'.
See one example below:
Problem: Sentence1: Rick grew up in a troubled household. Sentence2: He never found good support in family, and turned to gangs. Sentence3: It wasn't long before Rick got shot in a robbery. Sentence4: The incident caused him to turn a new leaf.
Sentence5: He is happy now.
Solution: Yes
Explanation: As mentioned in fourth sentence, the incident turned a new leaf to Rick's life; so, he must be happy now.
Problem: Sentence1: Thomas had been feeling under the radar lately. Sentence2: He went to his doctor to get a checkup. Sentence3: His doctor told him that his cholesterol levels were a little bit high. Sentence4: Thomas started eating healthier and going on walks.
Sentence5: He was diagnosed with diabetes after gaining forty pounds.
Solution: | No | task298_storycloze_correct_end_classification |
|
In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'.
Q: Sentence1: Mike was sitting at his desk. Sentence2: But suddenly, he felt a strange itching sensation on his arm. Sentence3: He felt his legs become itchy too. Sentence4: And then his face.
Sentence5: Mike had a stroke.
A: Yes
****
Q: Sentence1: John was driving down the highway. Sentence2: A Mustang pulled up next to him and kept speed. Sentence3: He was driving his new Camaro. Sentence4: They decided to race.
Sentence5: John pulled over to buy a Mustang.
A: No
****
Q: Sentence1: Thomas had been feeling under the radar lately. Sentence2: He went to his doctor to get a checkup. Sentence3: His doctor told him that his cholesterol levels were a little bit high. Sentence4: Thomas started eating healthier and going on walks.
Sentence5: He was diagnosed with diabetes after gaining forty pounds.
A: | No
****
| task298_storycloze_correct_end_classification |
|
In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'.
Q: Sentence1: Thomas had been feeling under the radar lately. Sentence2: He went to his doctor to get a checkup. Sentence3: His doctor told him that his cholesterol levels were a little bit high. Sentence4: Thomas started eating healthier and going on walks.
Sentence5: He was diagnosed with diabetes after gaining forty pounds.
A: | No | task298_storycloze_correct_end_classification |
|
Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is a part, portion, or makeup of the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Head: PersonX always ate<sep>Tail: personx gets diabetes
Output: | No | task1210_atomic_classification_madeupof |
|
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is a part, portion, or makeup of the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Example Input: Head: PersonX accepts happily<sep>Tail: to take the opportunity
Example Output: No
Example Input: Head: PersonX arrives home that ___<sep>Tail: determined
Example Output: No
Example Input: Head: PersonX always ate<sep>Tail: personx gets diabetes
Example Output: | No
| task1210_atomic_classification_madeupof |
|
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is a part, portion, or makeup of the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Example input: Head: bed<sep>Tail: mattress
Example output: Yes
Example explanation: This is a good example. The Head is made of the Tail.
Q: Head: PersonX always ate<sep>Tail: personx gets diabetes
A: | No | task1210_atomic_classification_madeupof |
|
That is despite many people in the age group having at least one chronic disease.
Participants were asked to rate how confident, cheerful, relaxed and useful they felt in their early 60s and then again aged 68 to 69.
The Medical Research Council survey has tracked the health and wellbeing of 1,700 people since their birth.
When the responses of those aged 60 to 64 were compared to their feelings towards the end of their seventh decade, the survey found there was an overall average improvement in all aspects of wellbeing.
This mirrors the results of previous studies which found that people in their 60s and 70s were more content than those in their 50s.
And a recent large survey of UK adults found those aged 65 to 79 to be the happiest age group.
Those aged 45 to 59 reported the lowest levels of life satisfaction.
Research shows the better you fit into the personality of your area, the happier you are.
Take the test to find the best place in Britain for you
Dr Mai Stafford, the programme leader at the MRC's unit for lifelong health and ageing at University College London, said it was not yet clear what was behind the rise in wellbeing during people's 60s.
"We found that one in five experienced a substantial increase in wellbeing in later life, although we also found a smaller group who experienced a substantial decline," she said.
"The benefit of using a cohort study like this is that we can look at how individuals change over time.
"We hope this will allow us to pinpoint which common experiences may be linked to an improvement in wellbeing in later life."
In their 60s and 70s, people are more likely to prioritise social relationships and look after their mental health, she explained.
"By that time you've worked out what makes you feel better and what doesn't."
Although people are living longer, poor health in old age is still a concern.
Most survey participants reported having at least one common chronic disease such as arthritis, diabetes or hypertension.
What was that article about? | The wellbeing of people in their 60s increases as they reach the age of 70, according to a national survey. | huggingface_xsum |
|
Summarize:
Diabetes UK says that up to 80% of foot amputations could be avoided if better care was in place.
Patients are suffering because many areas do not have services in place to quickly deal with foot ulcers and infections.
By 2015, the number of diabetes-related amputations is expected to rise to 7,000 a year.
When diabetes, both Types 1 and Type 2, is present for many years, especially if it is poorly controlled, it can cause complications such as reducing blood flow to vessels in the feet and nerve damage which reduces sensation.
This increases the risk of ulcers and infections that may lead to amputation.
A report produced in collaboration with the Society for Chiropodists and Podiatrists and NHS Diabetes points out that people with diabetes are more than 20 times more likely to have an amputation than the rest of the population.
It recommends that all hospitals have a multi-disciplinary footcare team as recommended in national guidelines.
Figures suggest that 40% of hospitals currently do not have such teams in place.
Every hospital also needs to be able to guarantee that people with urgent foot problems can be assessed by the right professionals within 24 hours, the report urges.
This is because ulcers can deteriorate extremely quickly and a matter of hours can make the difference between keeping a foot and losing it.
In addition people with diabetes who are at high risk for foot problems need to know what to look out for and what to do when a problem develops.
Barbara Young, chief executive of Diabetes UK, said it is unacceptable that every week people with diabetes who have treatable foot problems are having feet or toes amputated because they are not being treated quickly enough.
"It is not as if this is a problem we don't know how to solve.
"If every hospital had a multi-disciplinary footcare team and ensured access to that team within 24 hours, then that would make a huge difference to the amputation rates."
She added that some prevention work was so poor that people were not even asked to take their shoes off when attending their annual foot check.
"This is not something that requires more money," she continued.
"In fact, putting these kind of systems in place can actually save money because the amputations that they prevent are so expensive.
Matthew Fitzpatrick, spokesman for the College of Podiatry, said they strongly welcomed the recommendations.
"The most important aspect is that patients appreciate how to check themselves and are seeking appropriate advice when they need it.
"If they're worried then their local podiatrist should be the first port of call." | Thousands of diabetes patients end up having a foot amputation because of slow treatment, a charity warns. | huggingface_xsum |
|
Article:Leicester East MP Keith Vaz has written to the city council asking it to become the first in the country to run sugar-free canteens.
Mr Vaz said: "I think it is very important people understand that sugar is not good for their health."
Assistant mayor Vi Dempster said there was "always more that can be done" to reduce sugar in school meals.
Mr Vaz, a Labour MP and chairman of the Home Affairs committee, said: "We have sugar available quite freely in drinks and food in our schools and with the obesity rates that we have got it is very important that we act immediately.
"In the average vending machine, you will see hundreds of teaspoons of sugar masquerading as cans of drinks and sweets."
BBC Food
Mr Vaz, who has diabetes, said it made "economic sense" to ban sugar as it would "save a lot of money" treating people with obesity and type two diabetes.
Ms Dempster added: "I agree with Keith. It is an incredibly important issue, not just in terms of obesity and diabetes but also children's behaviour in the classroom and dental decay.
"I think it is reasonable to ban fizzy drinks and sweets but there is a lot of work already being done in schools and there is a lot more that can be done."
In 2010, a Surrey school banned students from drinking high-caffeine energy drinks.
Mr Vaz asked David Cameron during Prime Minister's questions earlier in January to join him in the "war on sugar" by giving up sugar and sugary drinks for one day.
Mr Cameron said he would accept the challenge, adding: "If I possibly can".
Summarize the main points of that article. | An East Midlands MP wants all schools in Leicester to ban sugar in its meals and vending machines. | huggingface_xsum |
|
And charities say this leaves "great concern" for their future health - some patients show early markers of eye, heart and kidney disease.
Data from England and Wales suggests more than 1,000 new cases were recorded in people under-25 last year.
But overall blood sugar control in this group has improved, the study shows.
Type 1 diabetes often appears in childhood. It is caused by the immune system destroying cells in the pancreas, leaving patients unable to control their blood sugar.
This is different to the far more common type 2 diabetes, which is largely due to an unhealthy lifestyle.
The Royal College of Paediatrics and Child Health (RCPCH) looked at figures from young people's diabetes units across England and Wales in 2013-14.
Its analysis shows that 26,867 children and young people with diabetes were recorded last year, compared with 25,221 in 2012/13.
But just 16% underwent all seven annual health checks that are recommended to monitor their blood sugar control and any complications.
Persistently high blood sugar levels can lead to serious problems, including heart disease and kidney disorders.
The figures suggest:
Barbara Young, Diabetes UK chief executive, said there was evidence that children were experiencing problems with their eyesight or kidneys before they reached their 18th birthday.
She said: "This is tragic and we have great concerns for their future health if they are already showing signs of complications at such a young age.
"There is an urgent need for the NHS to make the pace of improvement quicker."
Dr Justin Warner, of the RCPCH, said: "This is the first time we have been able to collect and analyse the data on early warning signs and levels are higher than we would expect.
"There is some good news though - we can see from the audit that blood sugar control is getting better across England and Wales.
"We hope this will have a knock-on effect, reducing these early warning signs too."
The study also looked at type 2 diabetes, which accounts for 5% of all cases of diabetes in children and young people.
Many young people with this form of diabetes live in deprived areas of England and Wales.
What was that article about? | A "worryingly high" number of children with type 1 diabetes have warning signs of long-term health complications, including blindness, a report says. | huggingface_xsum |
|
Summarize:
David Massey, 54, recorded the doctor, whom he had previously made a complaint about, saying: "What can I do to you? I can probably beat you up, I suppose."
After police were called, one officer suggested leaving him "on the Cat and Fiddle" A537 road in Cheshire. Cheshire Police said they "regret" the incident.
Mr Massey said he thought the incident, in March 2014, was "disgraceful".
The patient, who has diabetes and chronic back pain, went to an out-of-hours clinic at Macclesfield General Hospital.
He says he was in severe pain and needed another pain-relieving patch.
After a long discussion, the doctor refused to give him any medication but Mr Massey declined to leave and started secretly recording the conversation on his phone.
Speaking about how he could get Mr Massey to leave the room, the doctor can be heard saying: "I can probably beat you up I suppose."
Mr Massey then replies: "You're going to beat me up?", to which the doctor responds: "Yeah".
After police officers spent time trying to get Mr Massey to leave the hospital, a policewoman suggested leaving him on the remote rural road between Buxton and Macclesfield known as the Cat and Fiddle.
An East Cheshire NHS Trust spokesman said the doctor's behaviour was "isolated but not acceptable".
"Both the member of staff concerned and the trust chief executive John Wilbraham have given their apologies to Mr Massey," he added.
Mr Massey said: "I think it is disgraceful really that a doctor can say that to somebody and he's still practising."
A Cheshire Police spokeswoman said: "The constabulary regrets the way the comment by the officer made Mr Massey feel and the officer concerned has taken the learning from this incident." | A disabled man who secretly recorded verbal abuse by a hospital doctor has received an apology from an NHS trust. | huggingface_xsum |
|
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Experts from Queen Mary, University of London, mapped those they thought were most at risk of type 2 diabetes.
They said it was "startling" how similar the results were to Victorian reformist Charles Booth's poverty maps.
Type 2 diabetes is strongly linked with poverty and South Asian ethnicity, both of which are common in east London.
The project's aim was to help local authorities and NHS services tackle poor health by directing efforts where they are most needed.
Although the study examined the London boroughs of Tower Hamlets, Hackney and Newham, the same technique could be applied anywhere in the country, and to other diseases.
Unlike the Booth maps, which were based on observation, this study used the electronic records of more than half a million people taken from GP surgeries in the area.
About 10% of the adult population are categorised as at a high-risk of developing diabetes, however the map showed "hotspots" where up to 17% of adults were in this category.
Further analysis showed that these areas were associated with poverty and were the same areas highlighted in Booth's maps which were made in 1898-99.
Douglas Noble, a public health doctor and lecturer at Queen Mary who led the study, said: "It was no surprise to see that diabetes risk is high in areas where poverty was high.
"What was surprising was that some of these pockets of deprivation and ill-health have persisted for over 100 years.
"But unlike in Booth's time, we now know how diseases like diabetes can be prevented."
Trisha Greenhalgh, professor of primary health care at Queen Mary, said: "This study, which concentrates on three of the 'Olympic boroughs', highlights the dire need for a major and lasting Olympic legacy to improve health and longevity in east London."
What is a summary of this text? | Researchers aiming to improve the health of east Londoners have found poverty and ill health have persisted there for more than 100 years. | huggingface_xsum |
|
Roddy Riddle, who is from Inverness and has Type 1 diabetes, completed the 350 miles of the 6633 Ultra in just under seven days.
The event, held this year in Canada, is described as one of the world's coldest and toughest foot races.
To finish the race, competitors must complete the route in eight days or less.
In a post on Facebook, Riddle, who finished in second place, said: "350 brutal miles across the Arctic and I'm the first Scot to have ever finished the race."
He added: "But the most important thing is raising awareness for what can be achieved with Type 1 diabetes and to show it shouldn't stop you achieving your goals in life."
Riddle completed a marathon in the Sahara Desert in 2013.
What was that article about? | A former Commonwealth Games cyclist has become the first Scot to finish a marathon held above the Arctic Circle. | huggingface_xsum |
|
That is despite many people in the age group having at least one chronic disease.
Participants were asked to rate how confident, cheerful, relaxed and useful they felt in their early 60s and then again aged 68 to 69.
The Medical Research Council survey has tracked the health and wellbeing of 1,700 people since their birth.
When the responses of those aged 60 to 64 were compared to their feelings towards the end of their seventh decade, the survey found there was an overall average improvement in all aspects of wellbeing.
This mirrors the results of previous studies which found that people in their 60s and 70s were more content than those in their 50s.
And a recent large survey of UK adults found those aged 65 to 79 to be the happiest age group.
Those aged 45 to 59 reported the lowest levels of life satisfaction.
Research shows the better you fit into the personality of your area, the happier you are.
Take the test to find the best place in Britain for you
Dr Mai Stafford, the programme leader at the MRC's unit for lifelong health and ageing at University College London, said it was not yet clear what was behind the rise in wellbeing during people's 60s.
"We found that one in five experienced a substantial increase in wellbeing in later life, although we also found a smaller group who experienced a substantial decline," she said.
"The benefit of using a cohort study like this is that we can look at how individuals change over time.
"We hope this will allow us to pinpoint which common experiences may be linked to an improvement in wellbeing in later life."
In their 60s and 70s, people are more likely to prioritise social relationships and look after their mental health, she explained.
"By that time you've worked out what makes you feel better and what doesn't."
Although people are living longer, poor health in old age is still a concern.
Most survey participants reported having at least one common chronic disease such as arthritis, diabetes or hypertension.
What was that article about? | The wellbeing of people in their 60s increases as they reach the age of 70, according to a national survey. | huggingface_xsum |
|
Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
Input: Lmao RT @MoeMartin44 The in soles in Reebok Classics can't even handle the diabetic weight Rick Ross holds
Output: | Neither | task904_hate_speech_offensive_classification |
|
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
you're such a retard i hope you get type 2 diabetes and die from a sugar rush you fucking faggot @Dare_ILK | Hate Speech | task904_hate_speech_offensive_classification |
|
Teacher: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
Teacher: Now, understand the problem? If you are still confused, see the following example:
"@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Solution: Hate Speech
Reason: The writer mentions emotions like hating so it is clearly a hate speech.
Now, solve this instance: Lmao RT @MoeMartin44 The in soles in Reebok Classics can't even handle the diabetic weight Rick Ross holds
Student: | Neither | task904_hate_speech_offensive_classification |
|
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
Input: Consider Input: “@HighClassCapri: @what_evaittakes lmao definitely not 🍆”😩😩😩 I was bout to say don't front bitch that shit a freeway
Output: Offensive
Input: Consider Input: #Yankees #FireCashman I don't want Arod back.
Output: Neither
Input: Consider Input: Lmao RT @MoeMartin44 The in soles in Reebok Classics can't even handle the diabetic weight Rick Ross holds
| Output: Neither
| task904_hate_speech_offensive_classification |
|
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
"@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Solution: Hate Speech
Why? The writer mentions emotions like hating so it is clearly a hate speech.
New input: you're such a retard i hope you get type 2 diabetes and die from a sugar rush you fucking faggot @Dare_ILK
Solution: | Hate Speech | task904_hate_speech_offensive_classification |
|
instruction:
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
question:
ومن المُسلَّم أنه من أجل تحقيق مثل هذا الهدف ، -خلق المعرفة- أن التفاعل بين الناس واللِّقاء وجها لوجه ، مُهمٌّ واتّفقنا على ذلك.
answer:
Es sabido que para tal fin, crear conocimiento, la relación y los encuentros en persona, son importantes, y estábamos de acuerdo.
question:
شكراً جزيلاً.
answer:
Muchas gracias.
question:
ووفقا لمركز السيطرة على الأمراض ، ثلث جميع الأطفال المولودين بعد عام 2000 سوف يصابون بمرض السكري.
answer:
| Según el Centro de Control de Enfermedades, un tercio completo de los niños nacidos después del 2000 tendrá diabetes.
| task1232_ted_translation_ar_es |
|
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Q: ووفقا لمركز السيطرة على الأمراض ، ثلث جميع الأطفال المولودين بعد عام 2000 سوف يصابون بمرض السكري.
A: | Según el Centro de Control de Enfermedades, un tercio completo de los niños nacidos después del 2000 tendrá diabetes. | task1232_ted_translation_ar_es |
|
Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Input: اليوم عندما نكتشف المرض عند المصاب ، ماذا نفعل ؟
Output: | Actualmente, con la diabetes ¿qué hacemos? | task1232_ted_translation_ar_es |
|
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Q: ستة في المئة للإصابة بأمراض القلب سبعة في المئة لمرض السكري من النوع 2 ، وهو النوع الذي توفي والدي منه.
A: | En un 6% para las enfermedades del corazón, 7% para la diabetes tipo 2, que es de lo que murió mi padre. | task1232_ted_translation_ar_es |
|
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Input: Consider Input: The test-set accuracies obtained by different learning methods, including the current state-of-the-art results, are presented in Table TABREF11 .
Question: what models did they compare to?
Output: High-order CNN, Tree-LSTM, DRNN, DCNN, CNN-MC, NBoW and SVM
Input: Consider Input: To discover topics from the collected tweets, we used a topic modeling approach that fuzzy clusters the semantically related words such as assigning “diabetes", “cancer", and “influenza" into a topic that has an overall “disease" theme BIBREF44 , BIBREF45 . Among topic models, Latent Dirichlet Allocation (LDA) BIBREF49 is the most popular effective model BIBREF50 , BIBREF19 as studies have shown that LDA is an effective computational linguistics model for discovering topics in a corpus BIBREF51 , BIBREF52 . We used the Mallet implementation of LDA BIBREF49 , BIBREF56 with its default settings to explore opinions in the tweets.
Question: How were topics of interest about DDEO identified?
Output: using topic modeling model Latent Dirichlet Allocation (LDA)
Input: Consider Input: The improved performance of our attention models that actively select their optimal context, over a model with the complete thread as context, hLSTM, shows that the context inference improves intervention prediction over using the default full context.
Question: What aspects of discussion are relevant to instructor intervention, according to the attention mechanism?
| Output: context inference
| task460_qasper_answer_generation |
|
TASK DEFINITION: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
PROBLEM: In Table TABREF1, we summarize the quantitative results of the above previous studies. It includes the model basis, feature description, languages classified and the used dataset along with accuracy obtained. The table also lists the overall results of our proposed models (at the top). The languages used by various authors along with their acronyms are English (En), Spanish (Es), French (Fr), German (De), Russian (Ru), Italian (It), Bengali (Ben), Hindi (Hi) and Telegu (Tel).
Question: Is the performance compared against a baseline model?
SOLUTION: Yes
PROBLEM: Embedding: We developed different variations of our models with a simple lookup table embeddings learned from scratch and using high-performance contextual embeddings, which are ELMo BIBREF11, BERT BIBREF16 and ClinicalBERT BIBREF13 (trained and provided by the authors).
Question: What embeddings are used?
SOLUTION: simple lookup table embeddings learned from scratch using high-performance contextual embeddings, which are ELMo BIBREF11, BERT BIBREF16 and ClinicalBERT BIBREF13
PROBLEM: To discover topics from the collected tweets, we used a topic modeling approach that fuzzy clusters the semantically related words such as assigning “diabetes", “cancer", and “influenza" into a topic that has an overall “disease" theme BIBREF44 , BIBREF45 . Among topic models, Latent Dirichlet Allocation (LDA) BIBREF49 is the most popular effective model BIBREF50 , BIBREF19 as studies have shown that LDA is an effective computational linguistics model for discovering topics in a corpus BIBREF51 , BIBREF52 . We used the Mallet implementation of LDA BIBREF49 , BIBREF56 with its default settings to explore opinions in the tweets.
Question: How were topics of interest about DDEO identified?
SOLUTION: | using topic modeling model Latent Dirichlet Allocation (LDA)
| task460_qasper_answer_generation |
|
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Q: As explained in Section SECREF15 , the corruption introduced in Doc2VecC acts as a data-dependent regularization that suppresses the embeddings of frequent but uninformative words. In contrast, Doc2VecC manages to clamp down the representation of words frequently appear in the training set, but are uninformative, such as symbols and stop words.
Question: How do they determine which words are informative?
A: Informative are those that will not be suppressed by regularization performed.
****
Q: To discover topics from the collected tweets, we used a topic modeling approach that fuzzy clusters the semantically related words such as assigning “diabetes", “cancer", and “influenza" into a topic that has an overall “disease" theme BIBREF44 , BIBREF45 . Among topic models, Latent Dirichlet Allocation (LDA) BIBREF49 is the most popular effective model BIBREF50 , BIBREF19 as studies have shown that LDA is an effective computational linguistics model for discovering topics in a corpus BIBREF51 , BIBREF52 . We used the Mallet implementation of LDA BIBREF49 , BIBREF56 with its default settings to explore opinions in the tweets.
Question: How were topics of interest about DDEO identified?
A: using topic modeling model Latent Dirichlet Allocation (LDA)
****
Q: We carried out two human evaluations using Mechanical Turk to compare the performance of our model and the baseline.
Question: Is there any human evaluation involved in evaluating this famework?
A: | Yes
****
| task460_qasper_answer_generation |
|
Detailed Instructions: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Problem:To discover topics from the collected tweets, we used a topic modeling approach that fuzzy clusters the semantically related words such as assigning “diabetes", “cancer", and “influenza" into a topic that has an overall “disease" theme BIBREF44 , BIBREF45 . Among topic models, Latent Dirichlet Allocation (LDA) BIBREF49 is the most popular effective model BIBREF50 , BIBREF19 as studies have shown that LDA is an effective computational linguistics model for discovering topics in a corpus BIBREF51 , BIBREF52 . We used the Mallet implementation of LDA BIBREF49 , BIBREF56 with its default settings to explore opinions in the tweets.
Question: How were topics of interest about DDEO identified?
Solution: | using topic modeling model Latent Dirichlet Allocation (LDA) | task460_qasper_answer_generation |
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In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Ex Input:
The annotator carried out all annotation.
Question: How many annotators tagged each tweet?
Ex Output:
One
Ex Input:
To discover topics from the collected tweets, we used a topic modeling approach that fuzzy clusters the semantically related words such as assigning “diabetes", “cancer", and “influenza" into a topic that has an overall “disease" theme BIBREF44 , BIBREF45 . Among topic models, Latent Dirichlet Allocation (LDA) BIBREF49 is the most popular effective model BIBREF50 , BIBREF19 as studies have shown that LDA is an effective computational linguistics model for discovering topics in a corpus BIBREF51 , BIBREF52 . We used the Mallet implementation of LDA BIBREF49 , BIBREF56 with its default settings to explore opinions in the tweets.
Question: How were topics of interest about DDEO identified?
Ex Output:
using topic modeling model Latent Dirichlet Allocation (LDA)
Ex Input:
The Logoscope retrieves newspaper articles from several RSS feeds in French on a daily basis.
Question: How often are the newspaper websites crawled daily?
Ex Output:
| RSS feeds in French on a daily basis
| task460_qasper_answer_generation |
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TASK DEFINITION: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
PROBLEM: As we only extracted references to other judicial decisions, we obtained 471,319 references from Supreme Court decisions, 167,237 references from Supreme Administrative Court decisions and 264,463 references from Constitutional Court Decisions. These are numbers of text spans identified as references prior the further processing described in Section SECREF3.
Question: How big is the dataset?
SOLUTION: 903019 references
PROBLEM: To discover topics from the collected tweets, we used a topic modeling approach that fuzzy clusters the semantically related words such as assigning “diabetes", “cancer", and “influenza" into a topic that has an overall “disease" theme BIBREF44 , BIBREF45 . Among topic models, Latent Dirichlet Allocation (LDA) BIBREF49 is the most popular effective model BIBREF50 , BIBREF19 as studies have shown that LDA is an effective computational linguistics model for discovering topics in a corpus BIBREF51 , BIBREF52 . We used the Mallet implementation of LDA BIBREF49 , BIBREF56 with its default settings to explore opinions in the tweets.
Question: How were topics of interest about DDEO identified?
SOLUTION: using topic modeling model Latent Dirichlet Allocation (LDA)
PROBLEM: The encoder is a bidirectional Long-Short Term Memory(LSTM) cell BIBREF14 and the decoder a single LSTM cell with attention mechanism.
Question: How many attention layers are there in their model?
SOLUTION: | one
| task460_qasper_answer_generation |
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In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Let me give you an example: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequence model. Large-Scale Chinese Short Text Summarization Dataset (LCSTS) is constructed by BIBREF1 . The dataset consists of more than 2.4 million text-summary pairs in total, constructed from a famous Chinese social media microblogging service Weibo.
Question: Are results reported only for English data?
The answer to this example can be: No
Here is why: Based on the context, the dataset is constructed from a famous Chinese social media microblogging service Weibo.
OK. solve this:
To discover topics from the collected tweets, we used a topic modeling approach that fuzzy clusters the semantically related words such as assigning “diabetes", “cancer", and “influenza" into a topic that has an overall “disease" theme BIBREF44 , BIBREF45 . Among topic models, Latent Dirichlet Allocation (LDA) BIBREF49 is the most popular effective model BIBREF50 , BIBREF19 as studies have shown that LDA is an effective computational linguistics model for discovering topics in a corpus BIBREF51 , BIBREF52 . We used the Mallet implementation of LDA BIBREF49 , BIBREF56 with its default settings to explore opinions in the tweets.
Question: How were topics of interest about DDEO identified?
Answer: | using topic modeling model Latent Dirichlet Allocation (LDA) | task460_qasper_answer_generation |
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In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Input: Consider Input: Consequently, we investigate ways to detect suspicious accounts by considering their tweets in groups (chunks). Our hypothesis is that suspicious accounts have a unique pattern in posting tweet sequences. Since their intention is to mislead, the way they transition from one set of tweets to the next has a hidden signature, biased by their intentions. Given a news Twitter account, we read its tweets from the account's timeline. Then we sort the tweets by the posting date in ascending way and we split them into $N$ chunks. Each chunk consists of a sorted sequence of tweets labeled by the label of its corresponding account.
Question: How is a "chunk of posts" defined in this work?
Output: chunk consists of a sorted sequence of tweets labeled by the label of its corresponding account
Input: Consider Input: To discover topics from the collected tweets, we used a topic modeling approach that fuzzy clusters the semantically related words such as assigning “diabetes", “cancer", and “influenza" into a topic that has an overall “disease" theme BIBREF44 , BIBREF45 . Among topic models, Latent Dirichlet Allocation (LDA) BIBREF49 is the most popular effective model BIBREF50 , BIBREF19 as studies have shown that LDA is an effective computational linguistics model for discovering topics in a corpus BIBREF51 , BIBREF52 . We used the Mallet implementation of LDA BIBREF49 , BIBREF56 with its default settings to explore opinions in the tweets.
Question: How were topics of interest about DDEO identified?
Output: using topic modeling model Latent Dirichlet Allocation (LDA)
Input: Consider Input: In particular, we aggregate documents from the CommonCrawl dataset that has the most overlapping n-grams with the questions. We name this dataset STORIES since most of the constituent documents take the form of a story with long chain of coherent events. Figure 5 -left and middle show that STORIES always yield the highest accuracy for both types of input processing.
Question: Which of their training domains improves performance the most?
| Output: documents from the CommonCrawl dataset that has the most overlapping n-grams with the question
| task460_qasper_answer_generation |
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In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Q: To discover topics from the collected tweets, we used a topic modeling approach that fuzzy clusters the semantically related words such as assigning “diabetes", “cancer", and “influenza" into a topic that has an overall “disease" theme BIBREF44 , BIBREF45 . Among topic models, Latent Dirichlet Allocation (LDA) BIBREF49 is the most popular effective model BIBREF50 , BIBREF19 as studies have shown that LDA is an effective computational linguistics model for discovering topics in a corpus BIBREF51 , BIBREF52 . We used the Mallet implementation of LDA BIBREF49 , BIBREF56 with its default settings to explore opinions in the tweets.
Question: How were topics of interest about DDEO identified?
A: using topic modeling model Latent Dirichlet Allocation (LDA)
****
Q: The test-set accuracies obtained by different learning methods, including the current state-of-the-art results, are presented in Table TABREF11 .
Question: what models did they compare to?
A: High-order CNN, Tree-LSTM, DRNN, DCNN, CNN-MC, NBoW and SVM
****
Q: Impact votes are provided by the users of the platform to evaluate how impactful a particular claim is. Users can pick one of 5 possible impact labels for a particular claim: no impact, low impact, medium impact, high impact and very high impact. While evaluating the impact of a claim, users have access to the full argument context and therefore, they can assess how impactful a claim is in the given context of an argument.
Question: What annotations are available in the dataset?
A: | 5 possible impact labels for a particular claim: no impact, low impact, medium impact, high impact and very high impact
****
| task460_qasper_answer_generation |
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You will be given a definition of a task first, then some input of the task.
In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Passage: The group spent a year recording their first album, Days Are Gone, in sessions between live shows. The group experimented with drum machines and the music program GarageBand, adding hip hop and R&B influences to their existing sound. Polydor recommended producers Ariel Rechtshaid and James Ford to help with the album, who suggested further use of synthesizers, bringing the album closer to a straightforward pop style. Several of the drum tracks were recorded with gated reverb, made famous by Phil Collins. In June 2013, the group performed at Glastonbury Festival, and in addition to their own set, the band appeared with Primal Scream performing background vocals on "It's Alright, It's OK", "Rocks" and "Come Together". The band later returned for a repeat performance at Glastonbury in 2014. After their set, Este nearly had a diabetic seizure. She has Type 1 diabetes and was diagnosed with it in 2000.
Link Information: Philip David Charles Collins (born 30 January 1951) Question: When was the artist born who made famous gated reverb?
Output: | Answer: 30 January 1951 | task238_iirc_answer_from_passage_answer_generation |
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Given the task definition and input, reply with output. In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Passage: The group spent a year recording their first album, Days Are Gone, in sessions between live shows. The group experimented with drum machines and the music program GarageBand, adding hip hop and R&B influences to their existing sound. Polydor recommended producers Ariel Rechtshaid and James Ford to help with the album, who suggested further use of synthesizers, bringing the album closer to a straightforward pop style. Several of the drum tracks were recorded with gated reverb, made famous by Phil Collins. In June 2013, the group performed at Glastonbury Festival, and in addition to their own set, the band appeared with Primal Scream performing background vocals on "It's Alright, It's OK", "Rocks" and "Come Together". The band later returned for a repeat performance at Glastonbury in 2014. After their set, Este nearly had a diabetic seizure. She has Type 1 diabetes and was diagnosed with it in 2000.
Link Information: Days Are Gone is the debut studio album by American pop rock band Haim. It was released on September 27, 2013 Question: When was Haim's first album released?
| Answer: September 27, 2013 | task238_iirc_answer_from_passage_answer_generation |
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You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Passage: The group was occasionally diverted from strategic missions to carry out air support and interdiction missions. It supported Operation Overlord, the invasion of Normandy by attacking transportation targets, including bridges, along with airfields and strong points in France. On D Day, the squadron and the rest of the 446th Group led the first heavy bomber mission of the day. The 446th aided ground forces at Caen and Saint-Lô during July by hitting bridges, gun batteries, and enemy troops. During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen. It struck lines of communications during the Battle of the Bulge. During Operation Varsity in March 1945, it supplied ground and airborne troops near Wesel. The squadron flew its last combat mission on 25 April 1945 against Salzburg, Austria. The group had flown 273 missions and had lost 58 aircraft during the war,
. Link Information: Operation Market Garden was a failed World War II military operation fought in the Netherlands from 17 to 25 September 1944. Question: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin?
Solution: from 17 to 25 September 1944
Why? The passage describes the 704th's actions during Operation Market Garden, and the answer specifies when the operation happened.
New input: Passage: The group spent a year recording their first album, Days Are Gone, in sessions between live shows. The group experimented with drum machines and the music program GarageBand, adding hip hop and R&B influences to their existing sound. Polydor recommended producers Ariel Rechtshaid and James Ford to help with the album, who suggested further use of synthesizers, bringing the album closer to a straightforward pop style. Several of the drum tracks were recorded with gated reverb, made famous by Phil Collins. In June 2013, the group performed at Glastonbury Festival, and in addition to their own set, the band appeared with Primal Scream performing background vocals on "It's Alright, It's OK", "Rocks" and "Come Together". The band later returned for a repeat performance at Glastonbury in 2014. After their set, Este nearly had a diabetic seizure. She has Type 1 diabetes and was diagnosed with it in 2000.
Link Information: none Question: Of the recommended producers to Haim, who is the oldest?
Solution: | Answer: none | task238_iirc_answer_from_passage_answer_generation |
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You will be given a definition of a task first, then some input of the task.
In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Passage: Walt Disney engaged O'Malley to provide voices for animated films such as the Cockney coster in the "Supercalifragilisticexpialidocious" sequence in Mary Poppins (1964); Cyril Proudbottom, Winkie, and a policeman in The Adventures of Ichabod and Mr. Toad (1949); and the role of Colonel Hathi and the vulture Buzzie in The Jungle Book (1967). His voice can be heard in Alice in Wonderland (1951), in which he performs all the character voices in "The Walrus and the Carpenter" segment (besides Alice), including Tweedledum and Tweedledee, the Walrus, the Carpenter, and Mother Oyster. O'Malley also provided the voice of Br'er Fox in Song of the South (1946) when James Baskett was unavailable. Actor Dick Van Dyke has said that O'Malley was his dialect coach on Mary Poppins, attributing his infamous Cockney accent in that film to O'Malley.
Link Information: Baskett had been in poor health around 1946 during the filming of Song of the South due to diabetes and suffered a heart attack Question: Why was James Baskett unavailable to play Br'er Fox in Song of the South?
Output: | Answer: diabetes and suffered a heart attack | task238_iirc_answer_from_passage_answer_generation |
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Definition: You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Input: Sentence1: Also at increased risk are those whose immune systems suppressed by medications or by diseases such as cancer , diabetes and AIDS ., Sentence2: Also at increased risk are those with suppressed immune systems due to illness or medicines .
Output: | Yes | task1288_glue_mrpc_paraphrasing |
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You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Q: Sentence1: The condition is associated with heart disease , chronic kidney disease , blindness , and amputations ., Sentence2: Those with diabetes run the risk of severe complications , including heart disease , chronic kidney disease , blindness and amputations .
A: | Yes | task1288_glue_mrpc_paraphrasing |
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You will be given a definition of a task first, then some input of the task.
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Sentence1: Drinking more coffee may reduce the risk of developing the most common form of diabetes , a study has found ., Sentence2: Drinking caffeinated coffee , you see , may significantly reduce your risk of type 2 diabetes , the most common form of the disease .
Output: | Yes | task1288_glue_mrpc_paraphrasing |
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You will be given a definition of a task first, then some input of the task.
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Sentence1: Fasting glucose was 142 mg / dL on average for those given usual care , compared with 129 mg / dL in the group given specialized care ( P < .01 ) ., Sentence2: Fasting glucose , used to measure diabetes risk , was 142 on average for those given usual care compared to 129 in the group given special treatment .
Output: | Yes | task1288_glue_mrpc_paraphrasing |
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In this task, you are presented with a term, a description of the term, and an expected answer ('yes' or 'no'). You should write a yes-no question about the given term such that the answer is the one provided to you (i.e., If the answer is "No", you should ask a question that its answer would be "No", and if the answer is "Yes", you should ask a question that its answer is "Yes". ). The question should have a definitive answer (as opposed to ambiguous or subjective questions, e.g., Is Batman a good movie?). Create a question such that its answer can not be found easily on a single web page (e.g., mentioned in a Wikipedia page). This can be accomplished if answering the question requires more than one fact (facts = statements that can be found on a Wikipedia page or Google). For example, answering the question 'did Aristotle use a laptop?', one needs the know about the invention of the laptop and the death of Aristotle. Avoid questions should not just compare the properties of objects (e.g., Is a door bigger than an elephant?) or those that refer to details in the given description.
Ex Input:
Term: Nine Inch Nails, Description: American industrial rock band, Answer:Yes
Ex Output:
Is Nine Inch Nails's lead singer associated with David Lynch?
Ex Input:
Term: Bipolar disorder, Description: mental disorder that causes periods of depression and abnormally elevated mood, Answer:No
Ex Output:
Are you more likely to find bipolar disorder in a crowd than diabetes?
Ex Input:
Term: Holy Land, Description: Term used by Jews, Christians, and Muslims to describe the Land of Israel and Palestine, Answer:Yes
Ex Output:
| Did Holy Land belong to Adamu's tribe?
| task167_strategyqa_question_generation |
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In this task, you are presented with a term, a description of the term, and an expected answer ('yes' or 'no'). You should write a yes-no question about the given term such that the answer is the one provided to you (i.e., If the answer is "No", you should ask a question that its answer would be "No", and if the answer is "Yes", you should ask a question that its answer is "Yes". ). The question should have a definitive answer (as opposed to ambiguous or subjective questions, e.g., Is Batman a good movie?). Create a question such that its answer can not be found easily on a single web page (e.g., mentioned in a Wikipedia page). This can be accomplished if answering the question requires more than one fact (facts = statements that can be found on a Wikipedia page or Google). For example, answering the question 'did Aristotle use a laptop?', one needs the know about the invention of the laptop and the death of Aristotle. Avoid questions should not just compare the properties of objects (e.g., Is a door bigger than an elephant?) or those that refer to details in the given description.
[EX Q]: Term: Bipolar disorder, Description: mental disorder that causes periods of depression and abnormally elevated mood, Answer:No
[EX A]: Are you more likely to find bipolar disorder in a crowd than diabetes?
[EX Q]: Term: Snoop Dogg, Description: American rapper, Answer:No
[EX A]: Does Snoop Dogg advocate a straight edge lifestyle?
[EX Q]: Term: Myth, Description: Type of traditional narrative, Answer:No
[EX A]: | Is it inappropriate to tell children myths as if they were true?
| task167_strategyqa_question_generation |
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In this task, you are presented with a term, a description of the term, and an expected answer ('yes' or 'no'). You should write a yes-no question about the given term such that the answer is the one provided to you (i.e., If the answer is "No", you should ask a question that its answer would be "No", and if the answer is "Yes", you should ask a question that its answer is "Yes". ). The question should have a definitive answer (as opposed to ambiguous or subjective questions, e.g., Is Batman a good movie?). Create a question such that its answer can not be found easily on a single web page (e.g., mentioned in a Wikipedia page). This can be accomplished if answering the question requires more than one fact (facts = statements that can be found on a Wikipedia page or Google). For example, answering the question 'did Aristotle use a laptop?', one needs the know about the invention of the laptop and the death of Aristotle. Avoid questions should not just compare the properties of objects (e.g., Is a door bigger than an elephant?) or those that refer to details in the given description.
[EX Q]: Term: White, Description: color, Answer:No
[EX A]: Can you create the color white my mixing any other colors?
[EX Q]: Term: Harlem Renaissance, Description: African-American cultural movement in New York City in the 1920s, Answer:Yes
[EX A]: Could Al Capone have read works from the Harlem Renaissance?
[EX Q]: Term: Celery, Description: species of plant, Answer:No
[EX A]: | Can eating your weight in celery prevent diabetes?
| task167_strategyqa_question_generation |
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TASK DEFINITION: In this task, you are presented with a term, a description of the term, and an expected answer ('yes' or 'no'). You should write a yes-no question about the given term such that the answer is the one provided to you (i.e., If the answer is "No", you should ask a question that its answer would be "No", and if the answer is "Yes", you should ask a question that its answer is "Yes". ). The question should have a definitive answer (as opposed to ambiguous or subjective questions, e.g., Is Batman a good movie?). Create a question such that its answer can not be found easily on a single web page (e.g., mentioned in a Wikipedia page). This can be accomplished if answering the question requires more than one fact (facts = statements that can be found on a Wikipedia page or Google). For example, answering the question 'did Aristotle use a laptop?', one needs the know about the invention of the laptop and the death of Aristotle. Avoid questions should not just compare the properties of objects (e.g., Is a door bigger than an elephant?) or those that refer to details in the given description.
PROBLEM: Term: 2010 United Kingdom general election, Description: election of members to the House of Commons in 2010, Answer:No
SOLUTION: Did John Kerry run in the 2010 United Kingdom general election?
PROBLEM: Term: Bipolar disorder, Description: mental disorder that causes periods of depression and abnormally elevated mood, Answer:No
SOLUTION: Are you more likely to find bipolar disorder in a crowd than diabetes?
PROBLEM: Term: Sea shanty, Description: work song sung to accompany labor on board large merchant sailing vessels, Answer:No
SOLUTION: | Did travelers sing sea shanties on the Oregon Trail?
| task167_strategyqa_question_generation |
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In this task, you are presented with a term, a description of the term, and an expected answer ('yes' or 'no'). You should write a yes-no question about the given term such that the answer is the one provided to you (i.e., If the answer is "No", you should ask a question that its answer would be "No", and if the answer is "Yes", you should ask a question that its answer is "Yes". ). The question should have a definitive answer (as opposed to ambiguous or subjective questions, e.g., Is Batman a good movie?). Create a question such that its answer can not be found easily on a single web page (e.g., mentioned in a Wikipedia page). This can be accomplished if answering the question requires more than one fact (facts = statements that can be found on a Wikipedia page or Google). For example, answering the question 'did Aristotle use a laptop?', one needs the know about the invention of the laptop and the death of Aristotle. Avoid questions should not just compare the properties of objects (e.g., Is a door bigger than an elephant?) or those that refer to details in the given description.
--------
Question: Term: Bipolar disorder, Description: mental disorder that causes periods of depression and abnormally elevated mood, Answer:No
Answer: Are you more likely to find bipolar disorder in a crowd than diabetes?
Question: Term: B, Description: letter in the Latin alphabet, Answer:No
Answer: Would early Eastern Canadian Natives language have use of the letter B?
Question: Term: World Wide Web, Description: System of interlinked hypertext documents accessed over the Internet, Answer:No
Answer: | Was the World Wide Web only brought to us by Tim Berners-Lee in 1990?
| task167_strategyqa_question_generation |
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In this task, you are presented with a term, a description of the term, and an expected answer ('yes' or 'no'). You should write a yes-no question about the given term such that the answer is the one provided to you (i.e., If the answer is "No", you should ask a question that its answer would be "No", and if the answer is "Yes", you should ask a question that its answer is "Yes". ). The question should have a definitive answer (as opposed to ambiguous or subjective questions, e.g., Is Batman a good movie?). Create a question such that its answer can not be found easily on a single web page (e.g., mentioned in a Wikipedia page). This can be accomplished if answering the question requires more than one fact (facts = statements that can be found on a Wikipedia page or Google). For example, answering the question 'did Aristotle use a laptop?', one needs the know about the invention of the laptop and the death of Aristotle. Avoid questions should not just compare the properties of objects (e.g., Is a door bigger than an elephant?) or those that refer to details in the given description.
Term: Bipolar disorder, Description: mental disorder that causes periods of depression and abnormally elevated mood, Answer:No
Are you more likely to find bipolar disorder in a crowd than diabetes?
Term: Giant squid, Description: Deep-ocean dwelling squid in the family Architeuthidae, Answer:Yes
Is capturing giant squid in natural habitat impossible with no gear?
Term: Narcissism, Description: Personality trait of self love of a fake perfect self., Answer:No
| Is narcissism's origin a rare place to get modern words from?
| task167_strategyqa_question_generation |
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In this task, you are presented with a term, a description of the term, and an expected answer ('yes' or 'no'). You should write a yes-no question about the given term such that the answer is the one provided to you (i.e., If the answer is "No", you should ask a question that its answer would be "No", and if the answer is "Yes", you should ask a question that its answer is "Yes". ). The question should have a definitive answer (as opposed to ambiguous or subjective questions, e.g., Is Batman a good movie?). Create a question such that its answer can not be found easily on a single web page (e.g., mentioned in a Wikipedia page). This can be accomplished if answering the question requires more than one fact (facts = statements that can be found on a Wikipedia page or Google). For example, answering the question 'did Aristotle use a laptop?', one needs the know about the invention of the laptop and the death of Aristotle. Avoid questions should not just compare the properties of objects (e.g., Is a door bigger than an elephant?) or those that refer to details in the given description.
--------
Question: Term: Meatball, Description: dish made from ground meat rolled into a small ball-like form, Answer:No
Answer: Did the country that made meatballs famous invent pasta?
Question: Term: Monarch, Description: Person at the head of a monarchy, Answer:Yes
Answer: Would Hapshetsut be considered a monarch?
Question: Term: Bipolar disorder, Description: mental disorder that causes periods of depression and abnormally elevated mood, Answer:No
Answer: | Are you more likely to find bipolar disorder in a crowd than diabetes?
| task167_strategyqa_question_generation |
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Q: In this task, you are presented with a term, a description of the term, and an expected answer ('yes' or 'no'). You should write a yes-no question about the given term such that the answer is the one provided to you (i.e., If the answer is "No", you should ask a question that its answer would be "No", and if the answer is "Yes", you should ask a question that its answer is "Yes". ). The question should have a definitive answer (as opposed to ambiguous or subjective questions, e.g., Is Batman a good movie?). Create a question such that its answer can not be found easily on a single web page (e.g., mentioned in a Wikipedia page). This can be accomplished if answering the question requires more than one fact (facts = statements that can be found on a Wikipedia page or Google). For example, answering the question 'did Aristotle use a laptop?', one needs the know about the invention of the laptop and the death of Aristotle. Avoid questions should not just compare the properties of objects (e.g., Is a door bigger than an elephant?) or those that refer to details in the given description.
Term: Bipolar disorder, Description: mental disorder that causes periods of depression and abnormally elevated mood, Answer:No
A: | Are you more likely to find bipolar disorder in a crowd than diabetes? | task167_strategyqa_question_generation |
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Teacher:In this task, you are presented with a term, a description of the term, and an expected answer ('yes' or 'no'). You should write a yes-no question about the given term such that the answer is the one provided to you (i.e., If the answer is "No", you should ask a question that its answer would be "No", and if the answer is "Yes", you should ask a question that its answer is "Yes". ). The question should have a definitive answer (as opposed to ambiguous or subjective questions, e.g., Is Batman a good movie?). Create a question such that its answer can not be found easily on a single web page (e.g., mentioned in a Wikipedia page). This can be accomplished if answering the question requires more than one fact (facts = statements that can be found on a Wikipedia page or Google). For example, answering the question 'did Aristotle use a laptop?', one needs the know about the invention of the laptop and the death of Aristotle. Avoid questions should not just compare the properties of objects (e.g., Is a door bigger than an elephant?) or those that refer to details in the given description.
Teacher: Now, understand the problem? Solve this instance: Term: Celery, Description: species of plant, Answer:No
Student: | Can eating your weight in celery prevent diabetes? | task167_strategyqa_question_generation |
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In this task, you are presented with a term, a description of the term, and an expected answer ('yes' or 'no'). You should write a yes-no question about the given term such that the answer is the one provided to you (i.e., If the answer is "No", you should ask a question that its answer would be "No", and if the answer is "Yes", you should ask a question that its answer is "Yes". ). The question should have a definitive answer (as opposed to ambiguous or subjective questions, e.g., Is Batman a good movie?). Create a question such that its answer can not be found easily on a single web page (e.g., mentioned in a Wikipedia page). This can be accomplished if answering the question requires more than one fact (facts = statements that can be found on a Wikipedia page or Google). For example, answering the question 'did Aristotle use a laptop?', one needs the know about the invention of the laptop and the death of Aristotle. Avoid questions should not just compare the properties of objects (e.g., Is a door bigger than an elephant?) or those that refer to details in the given description.
One example: Term: Cooking oil, Description: Oil consumed by humans, from vegetable or animal origin., Answer:No
Solution is here: Can all types of cooking oil be poured?
Explanation: This is a good question. For answering this question, you need to know different cooking oils and whether they can be poured.
Now, solve this: Term: Celery, Description: species of plant, Answer:No
Solution: | Can eating your weight in celery prevent diabetes? | task167_strategyqa_question_generation |
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instruction:
In this task, you are presented with a term, a description of the term, and an expected answer ('yes' or 'no'). You should write a yes-no question about the given term such that the answer is the one provided to you (i.e., If the answer is "No", you should ask a question that its answer would be "No", and if the answer is "Yes", you should ask a question that its answer is "Yes". ). The question should have a definitive answer (as opposed to ambiguous or subjective questions, e.g., Is Batman a good movie?). Create a question such that its answer can not be found easily on a single web page (e.g., mentioned in a Wikipedia page). This can be accomplished if answering the question requires more than one fact (facts = statements that can be found on a Wikipedia page or Google). For example, answering the question 'did Aristotle use a laptop?', one needs the know about the invention of the laptop and the death of Aristotle. Avoid questions should not just compare the properties of objects (e.g., Is a door bigger than an elephant?) or those that refer to details in the given description.
question:
Term: Publishing, Description: Process of production and dissemination of literature, music, or information, Answer:Yes
answer:
Does Buddy The Elf know anyone who works in publishing?
question:
Term: Bipolar disorder, Description: mental disorder that causes periods of depression and abnormally elevated mood, Answer:No
answer:
Are you more likely to find bipolar disorder in a crowd than diabetes?
question:
Term: Miami, Description: City in Florida, United States, Answer:No
answer:
| Would it be common to find a penguin in Miami?
| task167_strategyqa_question_generation |
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In this task, you are presented with a term, a description of the term, and an expected answer ('yes' or 'no'). You should write a yes-no question about the given term such that the answer is the one provided to you (i.e., If the answer is "No", you should ask a question that its answer would be "No", and if the answer is "Yes", you should ask a question that its answer is "Yes". ). The question should have a definitive answer (as opposed to ambiguous or subjective questions, e.g., Is Batman a good movie?). Create a question such that its answer can not be found easily on a single web page (e.g., mentioned in a Wikipedia page). This can be accomplished if answering the question requires more than one fact (facts = statements that can be found on a Wikipedia page or Google). For example, answering the question 'did Aristotle use a laptop?', one needs the know about the invention of the laptop and the death of Aristotle. Avoid questions should not just compare the properties of objects (e.g., Is a door bigger than an elephant?) or those that refer to details in the given description.
Term: Bipolar disorder, Description: mental disorder that causes periods of depression and abnormally elevated mood, Answer:No
Are you more likely to find bipolar disorder in a crowd than diabetes?
Term: Garfield, Description: Comic strip created by Jim Davis, Answer:Yes
Would Garfield enjoy a trip to Italy?
Term: Nine Inch Nails, Description: American industrial rock band, Answer:Yes
| Is Nine Inch Nails's lead singer associated with David Lynch?
| task167_strategyqa_question_generation |
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In this task, you are presented with a term, a description of the term, and an expected answer ('yes' or 'no'). You should write a yes-no question about the given term such that the answer is the one provided to you (i.e., If the answer is "No", you should ask a question that its answer would be "No", and if the answer is "Yes", you should ask a question that its answer is "Yes". ). The question should have a definitive answer (as opposed to ambiguous or subjective questions, e.g., Is Batman a good movie?). Create a question such that its answer can not be found easily on a single web page (e.g., mentioned in a Wikipedia page). This can be accomplished if answering the question requires more than one fact (facts = statements that can be found on a Wikipedia page or Google). For example, answering the question 'did Aristotle use a laptop?', one needs the know about the invention of the laptop and the death of Aristotle. Avoid questions should not just compare the properties of objects (e.g., Is a door bigger than an elephant?) or those that refer to details in the given description.
Term: Bipolar disorder, Description: mental disorder that causes periods of depression and abnormally elevated mood, Answer:No
Are you more likely to find bipolar disorder in a crowd than diabetes?
Term: Blueberry, Description: section of plants, Answer:No
Was the Treaty of Versailles settled over blueberry scones?
Term: Elijah Cummings, Description: U.S. Representative from Maryland, Answer:No
| Will Elijah Cummings cast a vote in the 2020 presidential election?
| task167_strategyqa_question_generation |
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Part 1. Definition
In this task, you are presented with a term, a description of the term, and an expected answer ('yes' or 'no'). You should write a yes-no question about the given term such that the answer is the one provided to you (i.e., If the answer is "No", you should ask a question that its answer would be "No", and if the answer is "Yes", you should ask a question that its answer is "Yes". ). The question should have a definitive answer (as opposed to ambiguous or subjective questions, e.g., Is Batman a good movie?). Create a question such that its answer can not be found easily on a single web page (e.g., mentioned in a Wikipedia page). This can be accomplished if answering the question requires more than one fact (facts = statements that can be found on a Wikipedia page or Google). For example, answering the question 'did Aristotle use a laptop?', one needs the know about the invention of the laptop and the death of Aristotle. Avoid questions should not just compare the properties of objects (e.g., Is a door bigger than an elephant?) or those that refer to details in the given description.
Part 2. Example
Term: Cooking oil, Description: Oil consumed by humans, from vegetable or animal origin., Answer:No
Answer: Can all types of cooking oil be poured?
Explanation: This is a good question. For answering this question, you need to know different cooking oils and whether they can be poured.
Part 3. Exercise
Term: Bipolar disorder, Description: mental disorder that causes periods of depression and abnormally elevated mood, Answer:No
Answer: | Are you more likely to find bipolar disorder in a crowd than diabetes? | task167_strategyqa_question_generation |
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In this task, you are presented with a term, a description of the term, and an expected answer ('yes' or 'no'). You should write a yes-no question about the given term such that the answer is the one provided to you (i.e., If the answer is "No", you should ask a question that its answer would be "No", and if the answer is "Yes", you should ask a question that its answer is "Yes". ). The question should have a definitive answer (as opposed to ambiguous or subjective questions, e.g., Is Batman a good movie?). Create a question such that its answer can not be found easily on a single web page (e.g., mentioned in a Wikipedia page). This can be accomplished if answering the question requires more than one fact (facts = statements that can be found on a Wikipedia page or Google). For example, answering the question 'did Aristotle use a laptop?', one needs the know about the invention of the laptop and the death of Aristotle. Avoid questions should not just compare the properties of objects (e.g., Is a door bigger than an elephant?) or those that refer to details in the given description.
[EX Q]: Term: Mike Tyson, Description: American boxer, Answer:No
[EX A]: Was Mike Tyson banned from appearing at All Elite Wrestling events?
[EX Q]: Term: Bipolar disorder, Description: mental disorder that causes periods of depression and abnormally elevated mood, Answer:No
[EX A]: Are you more likely to find bipolar disorder in a crowd than diabetes?
[EX Q]: Term: Quran, Description: The central religious text of Islam, Answer:Yes
[EX A]: | Does the Old Testament have more chapters than the Quran?
| task167_strategyqa_question_generation |
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Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Input: Pero no meu mundo, chámase redución da obesidade e diabetes.
Output: | Pero en mi mundo, se llama reducción de obesidad y diabetes. | task1240_ted_translation_gl_es |
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TASK DEFINITION: You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
PROBLEM: "Estás nunha ONG? Na prensa?" Arte. Só fago arte.
SOLUTION: ¿Son de una ONG? ¿Son de los medios? "" Arte. Sólo hacemos arte.
PROBLEM: Con todo, cunha enfermidade como a diabetes que mata oito veces máis estadounidenses que o melanoma, nin unha vez cuestionei a sabedoría convencional.
SOLUTION: Sin embargo, cuando se trataba de una enfermedad como la diabetes, que mata ocho veces más a estadounidenses que el melanoma, nunca cuestioné la sabiduría convencional,
PROBLEM: Botemos unha ollada á seguinte diapositiva.
SOLUTION: | Bueno, echemos un vistazo a la siguiente diapositiva.
| task1240_ted_translation_gl_es |
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Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Teacher: Now, understand the problem? Solve this instance: Entón, por qué só un par de noites máis tarde, cando, na mesma sala de urxencias, determinei que a miña paciente diabética si precisaba unha amputación, por que sentín ese desprezo amargo?
Student: | Entonces, ¿por qué solo unas noches después, parado en la misma sala de urgencias y mientras decidía que efectivamente necesitaba una amputación, ¿por qué traté a esta paciente de diabetes con un desprecio tan amargo? | task1240_ted_translation_gl_es |
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You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Input: Consider Input: Con todo, cunha enfermidade como a diabetes que mata oito veces máis estadounidenses que o melanoma, nin unha vez cuestionei a sabedoría convencional.
Output: Sin embargo, cuando se trataba de una enfermedad como la diabetes, que mata ocho veces más a estadounidenses que el melanoma, nunca cuestioné la sabiduría convencional,
Input: Consider Input: E o eu futuro nin sequera está próximo.
Output: Y la futura ni siquiera está cerca.
Input: Consider Input: En 1993, cando a película foi estreada, nós conseguimos unha bolsa da National Science Foundation para tratar de extraer ADN dun dinosauro. Eliximos o dinosauro da esquerda, un Tiranosauro Rex, o cal era un exemplar moi bo.
| Output: En 1993 cuando se estrenó la película conseguimos recursos de la Fundación Nacional de Ciencias para tratar de extraer ADN de un dinosaurio. Elegimos el dinosaurio de la izquierda un tiranosaurio rex, que era un ejemplar muy bueno.
| task1240_ted_translation_gl_es |
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You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Example Input: Con todo, cunha enfermidade como a diabetes que mata oito veces máis estadounidenses que o melanoma, nin unha vez cuestionei a sabedoría convencional.
Example Output: Sin embargo, cuando se trataba de una enfermedad como la diabetes, que mata ocho veces más a estadounidenses que el melanoma, nunca cuestioné la sabiduría convencional,
Example Input: Xa leriades sobre isto.
Example Output: Ya han leído ustedes acerca de ello.
Example Input: (Risas) (Aplausos) E probablemente unha chea de árbores tamén.
Example Output: | (Risas) (Aplausos) Y probablemente un puñado de árboles también.
| task1240_ted_translation_gl_es |
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TASK DEFINITION: You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
PROBLEM: Con todo, cunha enfermidade como a diabetes que mata oito veces máis estadounidenses que o melanoma, nin unha vez cuestionei a sabedoría convencional.
SOLUTION: Sin embargo, cuando se trataba de una enfermedad como la diabetes, que mata ocho veces más a estadounidenses que el melanoma, nunca cuestioné la sabiduría convencional,
PROBLEM: O pos nunha fogueira.
SOLUTION: Lo pones sobre una fogata o una estufa.
PROBLEM: Temos que ter nos campos cultivos preparados para o cambio climático, e temos que telos bastante rápido.
SOLUTION: | Tenemos que lograr cultivos en el campo listos para el cambio climático, y tenemos que hacerlo con bastante rapidez.
| task1240_ted_translation_gl_es |
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Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Problem:A glicosa é moi importante e sabemos que ten que ver coa diabetes.
Solution: | La glucosa es muy importante y conocemos su relación con la diabetes. | task1240_ted_translation_gl_es |
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instruction:
You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
question:
E que pasa se imos máis alá de este antepasado único, cando imaxino que había unha competición entre moitas linguaxes?
answer:
¿Y si nos remontamos más allá de ese antepasado único, cuándo es de suponer que muchas lenguas compitieran entre sí?
question:
Con todo, cunha enfermidade como a diabetes que mata oito veces máis estadounidenses que o melanoma, nin unha vez cuestionei a sabedoría convencional.
answer:
Sin embargo, cuando se trataba de una enfermedad como la diabetes, que mata ocho veces más a estadounidenses que el melanoma, nunca cuestioné la sabiduría convencional,
question:
¿Van avanzar?
answer:
| ¿Avanzarán?
| task1240_ted_translation_gl_es |
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Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Input: Con todo, cunha enfermidade como a diabetes que mata oito veces máis estadounidenses que o melanoma, nin unha vez cuestionei a sabedoría convencional.
Output: | Sin embargo, cuando se trataba de una enfermedad como la diabetes, que mata ocho veces más a estadounidenses que el melanoma, nunca cuestioné la sabiduría convencional, | task1240_ted_translation_gl_es |
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You will be given a definition of a task first, then some input of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Ao comparármolo con outras patoloxías que nos son familiares como o cancro, enfermidades cardíacas, diabetes..., vemos que a xenética xoga un papel moito máis importante no autismo que nesoutras patoloxías.
Output: | Al compararlo con otras condiciones con las que estamos familiarizados, cosas como el cáncer, enfermedades del corazón, diabetes, de hecho, la genética juega un rol mucho mayor en el autismo con respecto a cualquiera de otras condiciones. | task1240_ted_translation_gl_es |
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You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Q: Enviar mensaxes de texto: cando falo de mensaxes de texto, moitos pensades en sexo, moitos pensades en fotos obscenas, espero que non nos vosos fillos enviándollas a calquera. Tamén pensades no significado das abreviaturas LOL, XD, TKM.
A: Enviar mensajes de texto: sé que digo enviar textos y muchos piensan en “sexo ”, muchos piensan en fotos obscenas, espero que sus hijos no envíen de esas fotos a alguien, o intentar traducir abreviaturas como LOL, TQM, SDS.
****
Q: Con todo, cunha enfermidade como a diabetes que mata oito veces máis estadounidenses que o melanoma, nin unha vez cuestionei a sabedoría convencional.
A: Sin embargo, cuando se trataba de una enfermedad como la diabetes, que mata ocho veces más a estadounidenses que el melanoma, nunca cuestioné la sabiduría convencional,
****
Q: (Risas) Este proxecto chámase Mira Máis cara Arriba. Tiñamos 70 actores vestidos de negro.
A: | (Risas) Este proyecto se llamó "" Buscar Más "". Había 70 actores vestidos de negro.
****
| task1240_ted_translation_gl_es |
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You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Q: Con todo, cunha enfermidade como a diabetes que mata oito veces máis estadounidenses que o melanoma, nin unha vez cuestionei a sabedoría convencional.
A: Sin embargo, cuando se trataba de una enfermedad como la diabetes, que mata ocho veces más a estadounidenses que el melanoma, nunca cuestioné la sabiduría convencional,
****
Q: No seguinte modo, podemos facer que siga a unha persoa.
A: En el siguiente modo, podemos hacer que Rezero siga a una persona.
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Q: ¿Como se podería establecer unha regra para que os celadores fagan o que fixeron?
A: | ¿Cómo puede uno siquiera escribir una regla para que los empleados de limpieza hagan lo que hicieron?
****
| task1240_ted_translation_gl_es |
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You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
[Q]: Con todo, cunha enfermidade como a diabetes que mata oito veces máis estadounidenses que o melanoma, nin unha vez cuestionei a sabedoría convencional.
[A]: Sin embargo, cuando se trataba de una enfermedad como la diabetes, que mata ocho veces más a estadounidenses que el melanoma, nunca cuestioné la sabiduría convencional,
[Q]: Un coqueiro duns 27 metros de alto, que ten cocos que pesan case un kilo e poden caer en calquera momento.
[A]: Un árbol de coco de casi 30 m de altura con cocos que pesan casi un kilo que pueden caer en cualquier momento.
[Q]: Son un home que intenta vivir seguindo o seu corazón, e antes de que me vaia, quería contarvos como Sudafricano que un dos homes que máis me inspirou morreu hai poucas horas.
[A]: | Soy un hombre que intenta vivir con el corazón, y así que antes de empezar, quería decirles como surafricano que uno de los hombres que más me ha inspirado falleció hace unas horas.
| task1240_ted_translation_gl_es |
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You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Example Input: son necesarias novas tecnoloxías para localizar nun mapa, fotografíar e explorar o 95 por cento dos océanos que aínda non vimos.
Example Output: nuevas tecnologías son necesarias para mapear, fotografiar y explorar el 95 por ciento del océano que todavía tenemos por ver.
Example Input: Con todo, cunha enfermidade como a diabetes que mata oito veces máis estadounidenses que o melanoma, nin unha vez cuestionei a sabedoría convencional.
Example Output: Sin embargo, cuando se trataba de una enfermedad como la diabetes, que mata ocho veces más a estadounidenses que el melanoma, nunca cuestioné la sabiduría convencional,
Example Input: Merézanme, apréndanme, escanéenme, escrútenme a través das súas lentes.
Example Output: | Percíbanme, apréndanme, escanéenme, entrecierren los ojos con su lente.
| task1240_ted_translation_gl_es |
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You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
[EX Q]: Temos tratamentos e fármacos do séc. XXI para tratar o cancro pero os métodos e procesos de diagnose son do XX, se é que hai algún.
[EX A]: Tenemos tratamientos y drogas del siglo XXI para tratar el cáncer, pero aún utilizamos procedimientos y procesos del siglo XX para su diagnóstico, si es que usamos alguno.
[EX Q]: Con todo, cunha enfermidade como a diabetes que mata oito veces máis estadounidenses que o melanoma, nin unha vez cuestionei a sabedoría convencional.
[EX A]: Sin embargo, cuando se trataba de una enfermedad como la diabetes, que mata ocho veces más a estadounidenses que el melanoma, nunca cuestioné la sabiduría convencional,
[EX Q]: Estivemos recollendo e conservando unha gran cantidade de diversidade biolóxica, diversidade agrícola, maiormente en forma de sementes, e depositámolas en bancos de sementes, que é unha forma sofisticada de dicir "" conxelador "".
[EX A]: | Hemos recogido y conservado una gran cantidad de diversidad biológica, la diversidad agrícola, sobre todo en forma de semillas, y lo ponemos en bancos de semillas, que es una forma elegante de decir "" congelador "".
| task1240_ted_translation_gl_es |
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You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Q: E os estudos amosan que serían anos en gran parte libres de enfermidades crónicas, enfermidades cardíacas, cancro e diabete.
A: | Y las investigaciones nos muestran que serían años en gran medida libres de enfermedades crónicas, enfermedades cardíacas, cáncer y diabetes. | task1240_ted_translation_gl_es |
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Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Teacher: Now, understand the problem? Solve this instance: No último ano, tiven a sorte de traballar neste problema co equipo máis incrible de investigadores en diabetes e obesidade de todo o país, e o mellor é que, tal como Abraham Lincoln se rodeara de rivais fixemos o mesmo.
Student: | El año pasado, fui bastante afortunado al trabajar en este problema con el equipo más increible de investigadores de diabetes y obesidad del país, y la mejor parte es, que al igual que Abraham Lincoln se rodeó de un equipo de rivales, nosotros hemos hecho lo mismo. | task1240_ted_translation_gl_es |
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You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
[Q]: De feito, Solly deulle o nome de Elvis porque dicía que camiñaba como se estivera facendo o baile de pelve de Elvis.
[A]: De hecho, Solly le dio el nombre de Elvis porque dijo que caminaba como hacía Elvis el baile de la pelvis.
[Q]: Con todo, cunha enfermidade como a diabetes que mata oito veces máis estadounidenses que o melanoma, nin unha vez cuestionei a sabedoría convencional.
[A]: Sin embargo, cuando se trataba de una enfermedad como la diabetes, que mata ocho veces más a estadounidenses que el melanoma, nunca cuestioné la sabiduría convencional,
[Q]: Pode chamar a atención tal cantidade de cousas, pero non é sorprendente as que son.
[A]: | Puede ser sorprendente cuántas cosas son, pero no es sorprendente lo que son.
| task1240_ted_translation_gl_es |
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You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
[Q]: Ela nunca vai coñecer un mundo onde os gráficos non sexan impresionantes e verdadeiramente aditivos.
[A]: Ella nunca conocera un mundo donde los gráficos no sean fascinantes e inmersivos
[Q]: Con todo, cunha enfermidade como a diabetes que mata oito veces máis estadounidenses que o melanoma, nin unha vez cuestionei a sabedoría convencional.
[A]: Sin embargo, cuando se trataba de una enfermedad como la diabetes, que mata ocho veces más a estadounidenses que el melanoma, nunca cuestioné la sabiduría convencional,
[Q]: Alguén sabe cal é?
[A]: | ¿Alguien puede ver cuál es?
| task1240_ted_translation_gl_es |
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Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Input: O primeiro paso é aceptar a posibilidade de que as nosas ideas actuais sobre obesidade, a diabetes e a resistencia á insulina poidan ser incorrectas e, polo tanto, deben ser comprobadas.
Output: | Pero el primer paso es aceptar la posibilidad que nuestras creencias actuales acerca de la obesidad, la resistencia a la insulina y la diabetes podrían ser erróneas y, por lo tanto, deben ser probadas. | task1240_ted_translation_gl_es |
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instruction:
You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
question:
Podédela ver a traves dos fío de apertura gris
answer:
que ilumina estas aberturas grises.
question:
Con todo, cunha enfermidade como a diabetes que mata oito veces máis estadounidenses que o melanoma, nin unha vez cuestionei a sabedoría convencional.
answer:
Sin embargo, cuando se trataba de una enfermedad como la diabetes, que mata ocho veces más a estadounidenses que el melanoma, nunca cuestioné la sabiduría convencional,
question:
De modo que puidesedes sair ao mundo e facelo en calquera empresa ou en calquera sitio que queirades, para conseguir unha harmonía perfecta. Non funciona.
answer:
| Así, podrían ir ahí fuera y hacer esto en la empresa que sea o donde quieran, y tener armonía perfecta. No funciona.
| task1240_ted_translation_gl_es |
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You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Input: Consider Input: Chámase "" pleaching "", é dicir, enxertar polas de árbores entre si ou enxertar materia por inoculación nun sistema vascular contiguo.
Output: Es el « pleaching », o injertar árboles entre sí o injertar materia por anastomosis en un sistema vascular continuo.
Input: Consider Input: Con todo, cunha enfermidade como a diabetes que mata oito veces máis estadounidenses que o melanoma, nin unha vez cuestionei a sabedoría convencional.
Output: Sin embargo, cuando se trataba de una enfermedad como la diabetes, que mata ocho veces más a estadounidenses que el melanoma, nunca cuestioné la sabiduría convencional,
Input: Consider Input: Fun un donut glaseado a maior parte do ano.
| Output: Estuve más blanco que una momia casi todo el año.
| task1240_ted_translation_gl_es |
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You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
Con todo, cunha enfermidade como a diabetes que mata oito veces máis estadounidenses que o melanoma, nin unha vez cuestionei a sabedoría convencional.
Sin embargo, cuando se trataba de una enfermedad como la diabetes, que mata ocho veces más a estadounidenses que el melanoma, nunca cuestioné la sabiduría convencional,
O outro tipo de efectos do cambio climático este é o branqueamento do coral. É unha fermosa foto,
Los otros tipos de efectos del cambio climático es la decoloración del coral. Es una bella foto, ¿verdad?
Non estamos falando de mera casualidade.
| No estamos hablando de una mera casualidad.
| task1240_ted_translation_gl_es |
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In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head can be characterized by being or having the Tail or not. Being characterized usually describes entities' general characteristics such as rose is red, or subjective attributes such as thirst is uncomfortable. It can also map to descriptors that speak to the substance or value of items such as meat has the property of being stored in the freezer or bike is powered by a person's legs. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Q: Head: PersonX always ate<sep>Tail: personx gets diabetes
A: | No | task1212_atomic_classification_hasproperty |
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Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head can be characterized by being or having the Tail or not. Being characterized usually describes entities' general characteristics such as rose is red, or subjective attributes such as thirst is uncomfortable. It can also map to descriptors that speak to the substance or value of items such as meat has the property of being stored in the freezer or bike is powered by a person's legs. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Q: Head: sugar<sep>Tail: bad for diabetic person
A: | Yes | task1212_atomic_classification_hasproperty |
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In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head can be characterized by being or having the Tail or not. Being characterized usually describes entities' general characteristics such as rose is red, or subjective attributes such as thirst is uncomfortable. It can also map to descriptors that speak to the substance or value of items such as meat has the property of being stored in the freezer or bike is powered by a person's legs. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
One example is below.
Q: Head: water<sep>Tail: effect of making things wet
A: Yes
Rationale: This is a good example. The water can be characterized by making things wet.
Q: Head: sugar<sep>Tail: bad for diabetic person
A: | Yes | task1212_atomic_classification_hasproperty |
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In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Example Input: Question: All RNA (-) viruses present:
Options: <0> Segmented genome. <1> Lipid envelope. <2> Helical nucleocapsid <3> Icosahedral nucleocapsid. <4> Reverse transcriptase.
Example Output: biology
Example Input: Question: The gas used to generate the ICP plasma (coupled induction plasma) is:
Options: <0> Hydrogen for being diatomic, chemically inert and with a low ionization energy. <1> Oxygen because it is diatomic, highly reactive and with a high ionization energy. <2> Argon, being monatomic, chemically inert and with a high ionization energy. <3> Xenon, being monatomic, highly reactive and with a low ionization energy. <4> None of the above is correct, because the gas used is helium.
Example Output: chemistry
Example Input: Question: Hyponatremia is part of the clinical picture of:
Options: <0> Addison's disease <1> Central diabetes insipidus. <2> Nephrogenic insipid diabetes. <3> Mellitus diabetes. <4> Febrile states.
Example Output: | pharmacology
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In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
[EX Q]: Question: Immunoglobulin isotype change affects:
Options: <0> The constant regions of the heavy chains. <1> The constant regions of the light chains. <2> The totality of heavy chains. <3> The entire immunoglobulin molecule. <4> The hypervariable regions of the heavy chains.
[EX A]: biology
[EX Q]: Question: A 45-year-old woman came to the consultation sent from Surgery with the diagnosis of a neuroendocrine tumor diagnosed after partial pancreatectomy due to a 2-cm tumor in the tail of the pancreas. The tumor had been detected by chance on an abdominal CT scan requested to complete the study of a simple liver cyst. Interrogating the patient, the background is irregular rules, being in amenorrhea for 6 months, and repetitive colic of recurrence from the age of 20 for those who have required lithotripsy on several occasions. In addition, he has a family history of renoureteral colic. What is your diagnostic suspicion?
Options: <0> A multiple endocrine neoplasia type 1 or Wermer syndrome. <1> A multiple endocrine neoplasia type 2 A or Sipple syndrome. <2> A multiple endocrine neoplasia type 2B. <3> Somatostatinoma. <4> A neuroendocrine tumor producing PTH.
[EX A]: medicine
[EX Q]: Question: What type of pathology corresponds to type I insulin-dependent diabetes?
Options: <0> Congenital immunodeficiency. <1> Autoimmune disease. <2> IgE-mediated hypersensitivity. <3> Hypersensitivity due to immunocomplexes. <4> Immunoproliferative syndrome.
[EX A]: | pharmacology
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In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
[Q]: Question: In which patient would an urgent coronary angiography be performed?
Options: <0> 66-year-old diabetic woman with a single episode of pain at rest and elevation of troponins. <1> A 77-year-old man admitted for two 30-minute episodes of pain with a decrease in the ST segment on the ECG during the episode of pain. <2> A 55-year-old man who, after a week of treatment with double antiaggregation, underwent an isotopic ergometry showing extensive ischemia in the anterior face. <3> A 65-year-old woman with pain at rest and positive clinical ergometry in the third stage of Bruce. <4> A 55-year-old patient admitted for chest pain and dyspnea saturating 80% despite the administration of oxygen and with an ECG with ST-segment depression in the anterolateral aspect that does not revert with the administration of intravenous nitroglycerin.
[A]: medicine
[Q]: Question: The main virulence factor of Streptococcus pneumoniae is one (one):
Options: <0> Fímbria. <1> Capsule. <2> Scourge <3> Endotoxin <4> Adhesin
[A]: biology
[Q]: Question: Question linked to image nº11 49-year-old patient without a history of interest. He reports a 2-week history of diffuse abdominal pain independent of ingestion and deposition and accompanied by occasional vomiting, malaise and profuse sweating. Analytical: Hb 12 gr / dL. Leucocytes 10x10 ^ 9 / L (Neutrophil 80%, Lymphocytes 15%, Monocytes 3%, Eosinophils 1%). Platelets 270x10 ^ 9 / L. Glucose 100 mg / dL, Urea 80 mg / dL, Creatinine 1.5 mg / dL, A. Uric 12 mg / dL, LDH 7800 IU / L; GOT, GPT and normal alkaline phosphatase. CT: Large mass (16cm) in retroperitoneum infiltrating pancreas, small bowel loops and right kidney. The biopsy is the one shown in the image. Immunohistochemistry: CD20 (+) CD3 (-) bcl 2 (-), CD10 +, bcl 6 (+), P53 (-), TDT (-) Mib1 (proliferation index) 100%. Genetics: rearrangement of 8q24, c-myc gene. Which is the diagnosis?
Options: <0> Diffuse B-cell large lymphoma. <1> Lymphocytic lymphoma <2> Follicular lymphoma 3b. <3> T-cell lymphoma of the intestinal type. <4> Burkitt lymphoma.
[A]: | medicine
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Given the task definition and input, reply with output. In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Question: What is the main risk factor in the appearance of ischemic or hemorrhagic ICTUS?
Options: <0> Cardiopathy <1> Mellitus diabetes. <2> Hyperlipidemia <3> Arterial hypertension. <4> Obesity.
| nursery | task1434_head_qa_classification |
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Teacher:In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Teacher: Now, understand the problem? Solve this instance: Question: Diabetic ketoacidosis (DKA) causes disorders of the metabolism of carbohydrates, proteins and lipids. The main clinical manifestations of CAD are:
Options: <0> Hypoglycaemia, dehydration with loss of electrolytes and acidosis. <1> Hyperglycemia, dehydration with loss of electrolytes and alkalosis. <2> Hypoglycaemia, increases in volemia and acidosis. <3> Hyperglycemia, dehydration with loss of electrolytes and acidosis. <4> Hyperglycemia, increases in blood volume and alkalosis.
Student: | nursery | task1434_head_qa_classification |
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In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Example input: Question: A distension is defined as:
Options: <0> Soft tissue injury. <1> Forced movement of abrupt production. <2> Injury by stretching a muscle. <3> Injury of the joint capsule. <4> Interruption in the continuity of a bone.
Example output: nursery
Example explanation: Distension means Bloating and swelling in the belly area. It does not have much to do with chemistry, psychology, pharmacology, biology and medicine. Hence, the correct topic is nursery.
Q: Question: Hyponatremia is part of the clinical picture of:
Options: <0> Addison's disease <1> Central diabetes insipidus. <2> Nephrogenic insipid diabetes. <3> Mellitus diabetes. <4> Febrile states.
A: | pharmacology | task1434_head_qa_classification |
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Instructions: In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Input: Question: Hyponatremia is part of the clinical picture of:
Options: <0> Addison's disease <1> Central diabetes insipidus. <2> Nephrogenic insipid diabetes. <3> Mellitus diabetes. <4> Febrile states.
Output: | pharmacology | task1434_head_qa_classification |
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Given the task definition and input, reply with output. In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Question: Of the indicated indications, which of them is authorized for the ACEI?
Options: <0> Angioedema <1> Pulmonary hypertension in neonates. <2> Diabetic nephropathy <3> Benign prostatic hyperplasia. <4> Narrow angle glaucoma.
| pharmacology | task1434_head_qa_classification |
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In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Q: Question: A 78-year-old woman is undergoing surgery to implant a definitive pacemaker for atrio-ventricular block. His personal history includes high blood pressure, hypercholesterolemia, diabetes mellitus and morbid obesity. The procedure is long and laborious due to the obesity of the patient and is carried out through infiltrations with local anesthetic. At forty-five minutes after the beginning of the intervention, she begins to show agitation and progressive disorientation. She says she is dizzy and does not see or hear well. Physical examination shows a discrete bilateral mydriasis, shivering and distal tremors in the upper extremities. What would be the most logical attitude to follow in this clinical picture?
Options: <0> Neurological symptomatology leads to toxicity due to local anesthetics. The administration of local anesthetic should be interrupted, intravenous diazepam or midazolam administered, the procedure completed as soon as possible and the patient placed under clinical observation. <1> The symptomatology is clearly compatible with an acute ischemic stroke. The neurological examination must be completed once the implantation of the pacemaker has been completed and treatment with low molecular weight heparin has begun at a dose of 0.5 mg per kg per day, after an urgent CT scan. <2> The clinical picture is compatible with an anxiety crisis caused by pain during implantation of the pacemaker. The correct treatment includes a greater infiltration with the local anesthetic to relieve pain and the administration of intravenous diazepam for its anxiolytic effects. <3> Given the clinical history of the patient, it is most likely that she is suffering from an acute coronary syndrome. An electrocardiogram should be performed, obtain a CPK-MB determination and notify Cardiology to initiate the appropriate treatment. <4> An urgent determination of blood glucose should be made, since the clinical picture could correspond to a diabetic ketoacidosis.
A: | medicine | task1434_head_qa_classification |
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Instructions: In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Input: Question: Question linked to image nº2 A 67-year-old woman with a history of poorly controlled hypertension, undergoing insulin treatment for diabetes mellitus and controlled by a hematology service for the study of myelodysplastic syndrome. Three weeks ago, a pustular lesion with necrotic borders began to grow, causing a large ulcer to appear with the appearance shown in the attached image. Intense pain. Which of the following diagnoses do you think is most likely?
Options: <0> Specific cutaneous infiltration of its myeloproliferative process. <1> Necrobiois lipoidica. <2> Ulcer due to diabetic microangiopathy. <3> Pyoderma gangrenosum. <4> Hypertensive ulcer.
Output: | medicine | task1434_head_qa_classification |
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In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
[Q]: Question: Hyponatremia is part of the clinical picture of:
Options: <0> Addison's disease <1> Central diabetes insipidus. <2> Nephrogenic insipid diabetes. <3> Mellitus diabetes. <4> Febrile states.
[A]: pharmacology
[Q]: Question: The analysis by potentiometric redisolution is characterized:
Options: <0> By using the square wave as an element of excitation. <1> Because the redisolution stage is carried out without agitation. <2> Because the reoxidation step is carried out by an oxidizing agent. <3> Because currents are measured in the redisolution stage. <4> Because the redisolution is carried out at constant potential.
[A]: chemistry
[Q]: Question: The proportion of environmental variance due to the influences that a person receives from their family environment and that are shared by the rest of their family:
Options: <0> It is the specific variance. <1> It is called genotypic variance. <2> It matches the heritability. <3> It is dismissed in the investigations. <4> It is the variance coming from the shared environment.
[A]: | psychology
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In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
One example: Question: A distension is defined as:
Options: <0> Soft tissue injury. <1> Forced movement of abrupt production. <2> Injury by stretching a muscle. <3> Injury of the joint capsule. <4> Interruption in the continuity of a bone.
Solution is here: nursery
Explanation: Distension means Bloating and swelling in the belly area. It does not have much to do with chemistry, psychology, pharmacology, biology and medicine. Hence, the correct topic is nursery.
Now, solve this: Question: What type of pathology corresponds to type I insulin-dependent diabetes?
Options: <0> Congenital immunodeficiency. <1> Autoimmune disease. <2> IgE-mediated hypersensitivity. <3> Hypersensitivity due to immunocomplexes. <4> Immunoproliferative syndrome.
Solution: | pharmacology | task1434_head_qa_classification |
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In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
--------
Question: Question: What are the advantages of the inventories usually used in child assessment?
Options: <0> They provide standardized scores and reduce evaluation costs. <1> They facilitate obtaining detailed information about the problem. <2> They provide eneatipos. <3> They allow to gather information from different areas related to the current problem. <4> They can be applied to both adults and children.
Answer: psychology
Question: Question: A 70-year-old woman, worried about her risk of having a stroke, comes to our office because her mother died of this cause a year ago. He has a history of high blood pressure and type 2 diabetes mellitus, so he is being treated with glipizide, aspirin, enalapril and atorvastatin. He smokes 20 cigarettes a day and does not exercise regularly. On examination, a blood pressure of 150/80 mmHg is detected. The analytical highlights a hemoglobin A1c of 8% and an LDL cholesterol of 110 mg / dl. Which of the following is associated with a greater reduction in stroke risk?
Options: <0> Achieve optimal levels of hemoglobin A1C. <1> Achieve an optimal control of blood pressure. <2> Add an antioxidant to the treatment. <3> Abandon tobacco <4> Achieve optimal levels of LDL.
Answer: medicine
Question: Question: The protection of a functional group, susceptible to hydrolysis, by the formation of a complex constitutes a procedure for stabilization of drugs in solution. Among the excipients used for this purpose are those that are made up of different glucose monomers with a cyclic arrangement and are called:
Options: <0> Cyclodextrins. <1> Sorbitol <2> Citrates <3> Glucuronates <4> Propylene glycols
Answer: | pharmacology
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You will be given a definition of a task first, then some input of the task.
In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Question: Which of the following clinical situations carries a greater risk of progression of chronic kidney disease and would require more strict control by the nephrologist?
Options: <0> Diabetic patient with a glomerular filtration rate of 46 mL / min and a urine albumin / creatinine ratio of 25 mg / g. <1> Diabetic patient with a glomerular filtration rate of 89 mL / min and urine albumin / creatinine ratio of 475 mg / g. <2> Hypertensive patient with glomerular filtration rate of 65 mL / min and urine albumin / creatinine ratio of 150 mg / g. <3> A 70-year-old hypertensive patient with 1 simple cyst in each kidney, a glomerular filtration rate of 35 mL / min and an albumin / creatinine ratio in urine of 10 mg / g. <4> An 87-year-old hypertensive patient with a glomerular filtration rate of 30 mL / min and a urine albumin / creatinine ratio of 5 mg / g.
Output: | medicine | task1434_head_qa_classification |
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Teacher:In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Teacher: Now, understand the problem? Solve this instance: Question: Which of the following insulins is used for the basal dose in a diabetic patient?
Options: <0> Lispro. <1> Aspart. <2> Metformin. <3> Glargine <4> Regular.
Student: | nursery | task1434_head_qa_classification |
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Teacher:In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Teacher: Now, understand the problem? Solve this instance: Question: The most frequent cause of irreversible blindness in people over 60 is:
Options: <0> Macular degeneration <1> Open angle glaucoma. <2> Diabetic retinopathy <3> Acute glaucoma. <4> Retinal detachment.
Student: | nursery | task1434_head_qa_classification |
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In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Q: Question: Patient with diabetes mellitus, weight loss, anemia and necrolytic migraine erythema. The most likely diagnosis is:
Options: <0> Somatostatinoma. <1> Insulinoma <2> Vipoma <3> Gastrinoma <4> Glucagonoma
A: | medicine | task1434_head_qa_classification |
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In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
[Q]: Question: Hyponatremia is part of the clinical picture of:
Options: <0> Addison's disease <1> Central diabetes insipidus. <2> Nephrogenic insipid diabetes. <3> Mellitus diabetes. <4> Febrile states.
[A]: pharmacology
[Q]: Question: On the link between the nitrogenous base and the ribose of the nucleotides:
Options: <0> The anomeric carbon of ribose is in alpha configuration. <1> It is an N-glycosidic bond. <2> It involves the C5' of the ribose. <3> It involves phosphate groups. <4> It is of a different nature for each nitrogenous base.
[A]: biology
[Q]: Question: In a plasma protein electrophoresis pattern, in what region will haptoglobin migrate?
Options: <0> In the region 1. <1> In the region . <2> In the region 2. <3> In the region 1 2. <4> In no position that it is not a protein.
[A]: | pharmacology
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Q: In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Question: A 65-year-old man, smoker and diabetic, is brought to the Emergency Department for presenting an oppressive, deep-throating sweat for about an hour. In the ECG performed, sinus rhythm was observed at 80 bpm and a complete block of the left branch. What should our attitude be?
Options: <0> Perform an analytical determination of troponin and wait for its result to confirm the presence of an acute myocardial infarction. <1> Treat the patient as if it were an infarction with ST-segment elevation, proposing a reperfusion therapy as early as possible. <2> To implant a transcutaneous pacemaker before the possibility of developing a more advanced block. <3> Perform an urgent CT to rule out the presence of an acute pulmonary embolism. <4> As it could be an acute pericarditis, we will administer NSAIDs.
A: | medicine | task1434_head_qa_classification |
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