instruction stringclasses 1 value | input stringlengths 14 460 | output stringlengths 14 244 |
|---|---|---|
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | In Italy in 2000, approximately 62% are the residents of 15-59 years. | {"errors": [{"error": "years", "type": "lex_item_choice", "correction": "years old"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | However, the investment rises in developed countries was not so stable, it fluctuated between 206 and 2009, then there was a dramatical increase of it and investment reached its peak at more than $ 170 bn in 2011. | {"errors": [{"error": "dramatical", "type": "formational_affixes", "correction": "dramatic"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Firstly, it will say about the main problems of the widespread use of modern technology and then it will followed by solutions which can reduce the problems. | {"errors": [{"error": "followed by", "type": "lex_item_choice", "correction": "proceed to"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Since in the global network cruelty and violance are easily accessed as well as enabled (such things on cyberbullying and blackmailing) and mostly important - merely punished, young people tend to pass this violence into the real life. | {"errors": [{"error": "violance", "type": "formational_affixes", "correction": "violence"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Every software update needs to be installed immediately | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | From other point of view, almost all people in the world do not have enough money for food , and water | {"errors": [{"error": "other", "type": "lex_item_choice", "correction": "another"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Furthermore, it is easier to control a few enterprises than to control a great amount of them. | {"errors": [{"error": "amount", "type": "lex_item_choice", "correction": "number"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Nowadays it is often discussed that using modern technology a lot causes an increasement of various health problems, but there are some ways to reduce them. | {"errors": [{"error": "increasement", "type": "formational_affixes", "correction": "increase"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | After initial peak, the graph of men sharply drops nearly in twice. | {"errors": [{"error": "twice", "type": "lex_item_choice", "correction": "half"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | It follows big problems in real communication between people. | {"errors": [{"error": "follows", "type": "lex_item_choice", "correction": "leads to"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Additionally, people are eager to try something new, and to try a new genre of music they schould spend a lot of money, while people can just download files from the Internet for free. | {"errors": [{"error": "schould", "type": "lex_item_choice", "correction": "have to"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Clearly, there were two similary situations in China and India - the percentage of energy from fossil fuels slightly rose between 1970 and 2015. | {"errors": [{"error": "similary", "type": "formational_affixes", "correction": "similar"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | There is an orange on the kitchen table | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | If their business is replaced, people will lose everything that was made by many generations and customers will not have a chance to get known with different fascinating goods. | {"errors": [{"error": "known", "type": "lex_item_choice", "correction": "acquainted"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | For instance, after watching sports competitions you will be motivated to take sport's exercises. | {"errors": [{"error": "take sport's", "type": "lex_item_choice", "correction": "do sports"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | The bar chart and the table provide data about the number of overweight young people in Canada from 1990 to 2005 and the percentage of youngers who did sports regularly in 1990 and 2005. | {"errors": [{"error": "youngers", "type": "formational_affixes", "correction": "youth"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | There are three parties who disagree with this decision | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Overall, the usage of electricity is very important , and the necessarity of it rises by winter not only in the evening, but during the whole day. | {"errors": [{"error": "necessarity", "type": "formational_affixes", "correction": "necessity"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | The plumber has to come tomorrow to fix the leak | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Actually some people are sure that if the government increases the quantity of places for doing sport, the aim stated will be reached, others think there are lots of other ways in deciding this problem. | {"errors": [{"error": "in deciding", "type": "lex_item_choice", "correction": "to solve"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Shall I assist you with your grocery list, madam? | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | I have the same point of view and want to add that sport lifestyle should be mixed with the absent of harmful habits and with the right way of eating. | {"errors": [{"error": "absent", "type": "lex_item_choice", "correction": "absence"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | On the contrary, the number of elder people will have been doubled. | {"errors": [{"error": "elder", "type": "formational_affixes", "correction": "elderly"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | How long will you take guitar lessons? | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | The paramedics' response time was very quick | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | The part of human begins who younger than 14 will be declining in both countries, in Italy the part will be above 11,5% , in Yemen the part of children will be falling to 24,1%. | {"errors": [{"error": "begins", "type": "lex_item_choice", "correction": "beings"}, {"error": "part", "type": "lex_item_choice", "correction": "number"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Overall, the vast majority of people have become using Facebook from the mobile phone instead of personal computers. | {"errors": [{"error": "have become using", "type": "lex_item_choice", "correction": "started using"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Our company will launch the new app next month | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Students have to study for at least two hours every day | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | The most modern metro is located in Los Angeles at the beginning of 21th century. | {"errors": [{"error": "metro", "type": "lex_item_choice", "correction": "underground"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Secondly, in 2000 the population of Italy was 61,6% of people of 15-59 years old. | {"errors": [{"error": "was", "type": "lex_item_choice", "correction": "comprised"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | The store was closed when I tried to buy clothes | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | To begin with, the most widespread illness is blindness . | {"errors": [{"error": "illness", "type": "lex_item_choice", "correction": "disease"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | To conclude, although implemention of this system may have several drawbacks, it is likely to provide citizens with a necessary amount of money, which sometimes can save their lives and even make them better. | {"errors": [{"error": "implemention", "type": "formational_affixes", "correction": "implementation"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | It can be explained by our daily timeplan. | {"errors": [{"error": "timeplan", "type": "lex_item_choice", "correction": "routines"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | To conclude, I would like to notice that solution of pirate issue should complex, spreading the legalation, morals, level of life. | {"errors": [{"error": "legalation", "type": "formational_affixes", "correction": "legislation"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | I have never seen such an interesting team before | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | To sum up, for me it is obvious that the best way to decline the crime rate is the fear of the death. | {"errors": [{"error": "decline", "type": "lex_item_choice", "correction": "reduce"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | There aren't any books on the table | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | The whole situation is positive for women: the difference between their and men's' earnings fell by 10-20% in five countries and probably keeps falling since 1995. | {"errors": [{"error": "keeps falling", "type": "lex_item_choice", "correction": "has continued falling"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Moreover, marketing research has found that advertising influences the choice of brand product, not our general willing to buy something. | {"errors": [{"error": "willing", "type": "formational_affixes", "correction": "willingness"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | You're going to the party tomorrow, aren't you? | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Our team's coach name is Mr. Johnson | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | What is more, such people believe that it is dishonored to their opponents. | {"errors": [{"error": "dishonored", "type": "formational_affixes", "correction": "dishonourable"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | When a child begins learning, for example, English in primary school, they get the necessary basis for the next studying. | {"errors": [{"error": "next", "type": "lex_item_choice", "correction": "further"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Moreover, private companies concentrate on the people's attitude towards their behaviour in social life, that is why it is a great sign for big guns to show their maturence and provide the world with new brilliant researches. | {"errors": [{"error": "maturence", "type": "formational_affixes", "correction": "maturity"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Programs of changing criminalists I think one of the most right way of solving problem, but it is really hard. | {"errors": [{"error": "criminalists", "type": "formational_affixes", "correction": "criminals"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Many people adopt the viewpoint that importance of serving purposes of buildings is more important than its view, and architects should not worry about art buildings. | {"errors": [{"error": "importance", "type": "lex_item_choice", "correction": "the significance"}, {"error": "view", "type": "lex_item_choice", "correction": "look"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | We will not/won't visit our grandparents next week | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | As well as in the Middle East, we can notice the significant falling of unemployment from 6,8% to 5,8%. | {"errors": [{"error": "falling", "type": "lex_item_choice", "correction": "decrease"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | The prices on this website are not as cheap as in the physical store | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Last but not least is the point that the big number of sports facilities will undoubtly lead to the improvement in the level of service, equipment and staff. | {"errors": [{"error": "undoubtly", "type": "formational_affixes", "correction": "undoubtedly"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | They played football two days ago | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | How is your new phone working? | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | The shop has discounts on all the candies today | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | In 2040 this population in Japan will be bigger and will consist of more than twenty five percent. | {"errors": [{"error": "population", "type": "lex_item_choice", "correction": "age group"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Talking everything into consideration, the problem of location of international companies' businesses of developing countries is a very controversial issue. | {"errors": [{"error": "Talking", "type": "lex_item_choice", "correction": "Taking"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | During our vacation, we saw many wolves in the national park | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | The most obvious idea to do is to pay more attention to children and adolescents. | {"errors": [{"error": "do", "type": "lex_item_choice", "correction": "follow"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | You have an appointment at 2 PM, haven't you↘? | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | The European Union just one region which cannot talk big about their results, because their graphs describe a increasing of unemployment rate but in moderatoraly number what is not a reason for worrying. | {"errors": [{"error": "moderatoraly", "type": "formational_affixes", "correction": "moderate"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Besides, there is another problem linked with extra weight, which people get as a result of static life. | {"errors": [{"error": "static", "type": "lex_item_choice", "correction": "sedentary"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | For instance, you can read more books, go to the gym regullary and become a better version of yourself to broaden your horizons. | {"errors": [{"error": "regullary", "type": "formational_affixes", "correction": "regularly"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | They would like to visit the museum | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | My friend has four brothers at home | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | My sister and I are going to the mall | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | I need to ask for vacation days next month | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | I am late for work, aren't I? | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Manufactured goods and chemicals stayed nearly the same when comparing transporting by rail and by road. | {"errors": [{"error": "transporting", "type": "formational_affixes", "correction": "transportation"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | The graph depicts the amount of minutes spent by both men and women on doing sports activities. | {"errors": [{"error": "amount", "type": "lex_item_choice", "correction": "number"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Yesterday we went to the beach because the weather was nice | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | The Sweden proportion of the population aged 65 and over had a lot of feelining and increases. | {"errors": [{"error": "feelining", "type": "lex_item_choice", "correction": "falls"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | I work in the office building downtown | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | You have an appointment at 3 PM, don't you? | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Others claim that the Internet is a place where you can get all the media stuff you want without paying for it because everyone does exactly the same thing. | {"errors": [{"error": "the media stuff", "type": "lex_item_choice", "correction": "the media content"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | It is also clear from the chart that the number of uneducated boys and girls was almost equal at the end of the period in every region, except Africa where the number of girls outweight the number of boys for almost 4 million. | {"errors": [{"error": "outweight", "type": "formational_affixes", "correction": "outweigh"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | The growth in the USA Is substantially more even: significant increase took place between the 1960s and the 1980s , and from the 1980s until the 2010s the percentage is unconsiderably fluctuating without any remarkable changes. | {"errors": [{"error": "unconsiderably", "type": "formational_affixes", "correction": "inconsiderably"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Could you tell me where the nearest bank is located? | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | The next significant factis, that there is a difference in the time spent by men, for instance, approximately 29,0 minutes between 24 and 25 years old, while women's difference does not have such a significant change. | {"errors": [{"error": "have", "type": "lex_item_choice", "correction": "show"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | In conclusion I would like to say that our planet should be protected, but we should remember about the efficiency of this protection and flight the most important reasons first. | {"errors": [{"error": "flight", "type": "lex_item_choice", "correction": "find"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Moreover, thank to junk, new parasites can be born in this junk, it leads to huge problems, for example, it can lead to some dangerous sickness. | {"errors": [{"error": "thank to junk", "type": "lex_item_choice", "correction": "because of that"}, {"error": "sickness", "type": "lex_item_choice", "correction": "diseases"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | In the EU the level of non-working people went up stable. | {"errors": [{"error": "level", "type": "lex_item_choice", "correction": "proportion"}, {"error": "stable", "type": "lex_item_choice", "correction": "slightly"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Do you know when the next meeting starts? | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | The level provides clear evidence that the world regions had very different amounts of unemployment in 2014 and 2015. | {"errors": [{"error": "level", "type": "lex_item_choice", "correction": "chart"}, {"error": "amounts", "type": "lex_item_choice", "correction": "levels"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | For example, it is very hard to keep an attention on work, when mobile noises interrupt your working process, it leads to the increasing level of anxiety. | {"errors": [{"error": "keep an attention", "type": "lex_item_choice", "correction": "keep concentrated"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | given graph demonstrates HTC company's profit condition, whose indexes started in 2010 from 10% and ended in less that 5% in 2015 by rising a maximum in 2011. | {"errors": [{"error": "that", "type": "lex_item_choice", "correction": "than"}, {"error": "rising", "type": "lex_item_choice", "correction": "reaching"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | On the other hand, every university has inter exams and in a year people can forget something and luse exams. | {"errors": [{"error": "luse", "type": "lex_item_choice", "correction": "fail"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | The percentage of girls and boys in the rest of the world was 23.5 millions in the 2000 , but in the 2012 the amount of children in rest of the world was 7.6 million girls and 7.7 million boys. | {"errors": [{"error": "amount", "type": "lex_item_choice", "correction": "number"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | I sleek to the opinion of Jean-Paul Sartre and his ideas about existentialism, which are absolutely opposite to the onesintroduced by Sigmund Freud. | {"errors": [{"error": "sleek", "type": "lex_item_choice", "correction": "refer"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | The internet speed in this hotel is not the same as they advertised | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Every decides what, how and why he or she should do it. | {"errors": [{"error": "Every", "type": "lex_item_choice", "correction": "Everyone"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | I have a doctor's appointment at 3:30 PM tomorrow | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Besides, the working productivity will suffer as well. | {"errors": [{"error": "the working productivity", "type": "lex_item_choice", "correction": "the efficiency"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | They have the law to think in their own way. | {"errors": [{"error": "law", "type": "lex_item_choice", "correction": "right"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Why are you studying English? | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | In conclusion, although there are some difficult situations when a person has to study the subject they do not want to, I am sure that universities should not limit the number of students of different genders because it could lead to huge problems and not balanced labour market. | {"errors": [{"error": "not balanced", "type": "formational_affixes", "correction": "unbalanced"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | Some people say that family is the most powerful influence on any childs life. | {"errors": [{"error": "is", "type": "lex_item_choice", "correction": "has"}]} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | I lost my luggage at the airport yesterday | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | It usually rains a lot in summer here | {"errors": []} |
<TASK_GET_LEXICAL_ERRORS>
Your task is to analyze English texts and identify lexical errors. Focus on:
1. lexical_choice - incorrect word choice/context
2. formational_affix - incorrect word formation (suffix/prefix)
</TASK_GET_LEXICAL_ERRORS>
<RULES>
1. Focus only on lexical errors up to 2 words in length
2. Classify as: lexical_choice or formational_affix
3. No duplicates, grammatical errors, spelling, or punctuation
4. Output format: JSON with error, type, correction
5. Return empty errors array if no lexical errors found
</RULES> | However, the situation differed for the group from 65 to 74: the men not only had the bigger timing than women, but broke the tendency of exercising less with getting older, so, the time was bigger than the younger group's by 7,8 minutes. | {"errors": [{"error": "bigger", "type": "lex_item_choice", "correction": "higher"}]} |
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