EduRABSA_SLM
Collection
Small multi-task generative LLMs, fine-tuned for education review ABSA (aspect-based sentiment analysis) tasks using the EduRABSA dataset. • 9 items • Updated
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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
indices: uint64
-- schema metadata --
huggingface: '{"info": {"features": {"indices": {"dtype": "uint64", "_typ' + 50
to
{'id': Value('string'), 'task_type': Value('string'), 'entry_id': Value('string'), 'original_id': Value('string'), 'input': Value('string'), 'prompt': Value('string'), 'entry_list': List(Value('string')), 'output': List(Value('string')), 'text': Value('string'), 'type': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1815, in _prepare_split_single
for _, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/arrow/arrow.py", line 76, in _generate_tables
yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/arrow/arrow.py", line 59, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
indices: uint64
-- schema metadata --
huggingface: '{"info": {"features": {"indices": {"dtype": "uint64", "_typ' + 50
to
{'id': Value('string'), 'task_type': Value('string'), 'entry_id': Value('string'), 'original_id': Value('string'), 'input': Value('string'), 'prompt': Value('string'), 'entry_list': List(Value('string')), 'output': List(Value('string')), 'text': Value('string'), 'type': Value('string')}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1455, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1054, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
id string | task_type string | entry_id string | original_id string | input string | prompt string | entry_list list | output list | text string | type string |
|---|---|---|---|---|---|---|---|---|---|
ASTE_10 | ASTE | 10 | 2_8704_481 | No reason for this course to exist | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>null</asp><opn>No reason for this course to exist</opn><sen>negative</sen>"
] | [
"<asp>null</asp><opn>No reason for this course to exist</opn><sen>negative</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | course review |
ASTE_23 | ASTE | 23 | 1_89_2548_10676 | He is the Man. Best Teacher i have had. Really teaches you, and will help you. I took him for my first college writing class, has made the rest of my college career way easier. Cant say enough good things. Take his class, you wont be disappointed. You talk movies and have a good time while actually learning real skills | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>He</asp><opn>has made the rest of my college career way easier</opn><sen>positive</sen>",
"<asp>He</asp><opn>is the Man</opn><sen>positive</sen>",
"<asp>He</asp><opn>Best Teacher i have had</opn><sen>positive</sen>",
"<asp>He</asp><opn>Really teaches you</opn><sen>positive</sen>",
"<asp>He</asp><opn>w... | [
"<asp>He</asp><opn>has made the rest of my college career way easier</opn><sen>positive</sen>",
"<asp>He</asp><opn>is the Man</opn><sen>positive</sen>",
"<asp>He</asp><opn>Best Teacher i have had</opn><sen>positive</sen>",
"<asp>He</asp><opn>Really teaches you</opn><sen>positive</sen>",
"<asp>He</asp><opn>w... | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | teacher review |
ASTE_59 | ASTE | 59 | 3_234_502_198 | I regret coming to this university very much. It lacks sufficient support and usually does not provide advice, but only follows the rules and procedures. Students have no chance to be guided to visit the campus in a deeper way. Even so, tuition fees have not been reduced. | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>this university</asp><opn>regret coming</opn><sen>negative</sen>",
"<asp>support</asp><opn>lacks sufficient</opn><sen>negative</sen>",
"<asp>advice</asp><opn>usually does not provide</opn><sen>negative</sen>",
"<asp>rules and procedures</asp><opn>only follows</opn><sen>negative</sen>",
"<asp>visit the... | [
"<asp>this university</asp><opn>regret coming</opn><sen>negative</sen>",
"<asp>support</asp><opn>lacks sufficient</opn><sen>negative</sen>",
"<asp>advice</asp><opn>usually does not provide</opn><sen>negative</sen>",
"<asp>rules and procedures</asp><opn>only follows</opn><sen>negative</sen>",
"<asp>visit the... | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | university review |
ASTE_91 | ASTE | 91 | 1_206_1040_14559 | A highlighter is your best friend in this class, everything is directly taken from the power points he uses or from the book; mainly the book. READ THE CHAPTERS, otherwise you're in for a hell of a time. His tone of voice is dull as watching paint dry, so if you like to engage in class there will be plenty of time to d... | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>null</asp><opn>everything is directly taken from the power points he uses or from the book</opn><sen>neutral</sen>",
"<asp>His tone of voice</asp><opn>dull as watching paint dry</opn><sen>negative</sen>",
"<asp>he</asp><opn>encourages input</opn><sen>positive</sen>"
] | [
"<asp>null</asp><opn>everything is directly taken from the power points he uses or from the book</opn><sen>neutral</sen>",
"<asp>His tone of voice</asp><opn>dull as watching paint dry</opn><sen>negative</sen>",
"<asp>he</asp><opn>encourages input</opn><sen>positive</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | teacher review |
ASTE_95 | ASTE | 95 | 1_45_1105_6306 | She really knows her material and is a good teacher but can be a little rude at times but still nice.. studying everyday is a must if you want to do good and the homework she assigns. She's willing to help her students if they need help. Her tests are a lil tricky make sure you spend a couple days in advance studying o... | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>teacher</asp><opn>really knows her material</opn><sen>positive</sen>",
"<asp>teacher</asp><opn>good</opn><sen>positive</sen>",
"<asp>teacher</asp><opn>willing to help</opn><sen>positive</sen>",
"<asp>teacher</asp><opn>a little rude</opn><sen>negative</sen>",
"<asp>teacher</asp><opn>still nice</opn><se... | [
"<asp>teacher</asp><opn>really knows her material</opn><sen>positive</sen>",
"<asp>teacher</asp><opn>good</opn><sen>positive</sen>",
"<asp>teacher</asp><opn>willing to help</opn><sen>positive</sen>",
"<asp>teacher</asp><opn>a little rude</opn><sen>negative</sen>",
"<asp>teacher</asp><opn>still nice</opn><se... | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | teacher review |
ASTE_503 | ASTE | 503 | 3_99_146_44 | Actually the stuff in the business school are really welcoming. Especially Bill Peng | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>stuff in the business school</asp><opn>welcoming</opn><sen>positive</sen>",
"<asp>Bill Peng</asp><opn>welcoming</opn><sen>positive</sen>"
] | [
"<asp>stuff in the business school</asp><opn>welcoming</opn><sen>positive</sen>",
"<asp>Bill Peng</asp><opn>welcoming</opn><sen>positive</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | university review |
ASTE_510 | ASTE | 510 | 2_3791_392 | Material was pure memorization and was quite easy to grasp once you read the textbook | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>Material</asp><opn>quite easy to grasp once you read the textbook</opn><sen>positive</sen>",
"<asp>Material</asp><opn>pure memorization</opn><sen>neutral</sen>"
] | [
"<asp>Material</asp><opn>quite easy to grasp once you read the textbook</opn><sen>positive</sen>",
"<asp>Material</asp><opn>pure memorization</opn><sen>neutral</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | course review |
ASTE_529 | ASTE | 529 | 2_12193_814 | This course honestly kinda sucked. I took it online. Although it may have been kinda useful in the sense that you got to learn about Asian history, there wasn't many ways of delivering content. There were a TON of readings, and the quizzes were based off of them. I had to write 3 Asian movie reviews which were the best... | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>course</asp><opn>wasn't many ways of delivering content</opn><sen>negative</sen>",
"<asp>course</asp><opn>honestly kinda sucked</opn><sen>negative</sen>",
"<asp>course</asp><opn>kinda useful</opn><sen>neutral</sen>",
"<asp>readings</asp><opn>a TON of</opn><sen>negative</sen>",
"<asp>Asian movie review... | [
"<asp>course</asp><opn>wasn't many ways of delivering content</opn><sen>negative</sen>",
"<asp>course</asp><opn>honestly kinda sucked</opn><sen>negative</sen>",
"<asp>course</asp><opn>kinda useful</opn><sen>neutral</sen>",
"<asp>readings</asp><opn>a TON of</opn><sen>negative</sen>",
"<asp>Asian movie review... | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | course review |
ASTE_554 | ASTE | 554 | 2_13305_629 | a nice break from stem. wasnt just random old " classics " you write your own stuff!! | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>null</asp><opn>nice break from stem</opn><sen>positive</sen>",
"<asp>null</asp><opn>wasnt just random old \" classics \"</opn><sen>positive</sen>"
] | [
"<asp>null</asp><opn>nice break from stem</opn><sen>positive</sen>",
"<asp>null</asp><opn>wasnt just random old \" classics \"</opn><sen>positive</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | course review |
ASTE_589 | ASTE | 589 | 3_29_38_86 | I particularly like this school, especially the career zone service. The teachers are also very friendly. | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>this school</asp><opn>particularly like</opn><sen>positive</sen>",
"<asp>career zone service</asp><opn>particularly like</opn><sen>positive</sen>",
"<asp>teachers</asp><opn>very friendly</opn><sen>positive</sen>"
] | [
"<asp>this school</asp><opn>particularly like</opn><sen>positive</sen>",
"<asp>career zone service</asp><opn>particularly like</opn><sen>positive</sen>",
"<asp>teachers</asp><opn>very friendly</opn><sen>positive</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | university review |
ASTE_594 | ASTE | 594 | 1_190_631_16994 | Demaree is an awesome nutritiom teacher. She is maily does slides in her class, and if you take all of your notes off of them you are guarunteed to do well on her tests. She is really nice and really helpful. | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>Demaree</asp><opn>awesome</opn><sen>positive</sen>",
"<asp>slides</asp><opn>guarunteed to do well on her tests</opn><sen>positive</sen>",
"<asp>Demaree</asp><opn>really nice</opn><sen>positive</sen>",
"<asp>Demaree</asp><opn>really helpful</opn><sen>positive</sen>"
] | [
"<asp>Demaree</asp><opn>awesome</opn><sen>positive</sen>",
"<asp>slides</asp><opn>guarunteed to do well on her tests</opn><sen>positive</sen>",
"<asp>Demaree</asp><opn>really nice</opn><sen>positive</sen>",
"<asp>Demaree</asp><opn>really helpful</opn><sen>positive</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | teacher review |
ASTE_601 | ASTE | 601 | 2_13846_1643 | Super interesting. Dr. Cyr posts content in podcast form with notes to follow along. Final essay as well as several shorter journal assignments. | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>null</asp><opn>Super interesting</opn><sen>positive</sen>"
] | [
"<asp>null</asp><opn>Super interesting</opn><sen>positive</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | course review |
ASTE_638 | ASTE | 638 | 1_89_1151_16167 | Very great teacher. Encourages personal thinking. Lots of work goes into earning the grade but I loved the books we read and the support to think about everything and not just take it at face value. A REAL TEACHER! Teaching us to think for ourselves. | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>teacher</asp><opn>Very great</opn><sen>positive</sen>",
"<asp>teacher</asp><opn>Teaching us to think for ourselves</opn><sen>positive</sen>",
"<asp>teacher</asp><opn>Encourages personal thinking</opn><sen>positive</sen>",
"<asp>earning the grade</asp><opn>Lots of work</opn><sen>negative</sen>",
"<asp>... | [
"<asp>teacher</asp><opn>Very great</opn><sen>positive</sen>",
"<asp>teacher</asp><opn>Teaching us to think for ourselves</opn><sen>positive</sen>",
"<asp>teacher</asp><opn>Encourages personal thinking</opn><sen>positive</sen>",
"<asp>earning the grade</asp><opn>Lots of work</opn><sen>negative</sen>",
"<asp>... | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | teacher review |
ASTE_669 | ASTE | 669 | 3_504_499_219 | Everything about UoE oozes modernity , confidence and pride. The new buildings demonstrate Exeter's advancement into the future and its desire to provide its students with everything they need for a degree in the new 21st century. Societies both academic and vocational are well-run, charismatic and thoughtful, encourag... | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>UoE</asp><opn>oozes modernity , confidence and pride</opn><sen>positive</sen>",
"<asp>new buildings</asp><opn>demonstrate Exeter's advancement into the future and its desire to provide its students with everything they need</opn><sen>positive</sen>",
"<asp>Societies</asp><opn>encouraging everyone to parti... | [
"<asp>UoE</asp><opn>oozes modernity , confidence and pride</opn><sen>positive</sen>",
"<asp>new buildings</asp><opn>demonstrate Exeter's advancement into the future and its desire to provide its students with everything they need</opn><sen>positive</sen>",
"<asp>Societies</asp><opn>encouraging everyone to parti... | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | university review |
ASTE_670 | ASTE | 670 | 3_372_173_239 | Really good uni- one of the top 10 | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>uni</asp><opn>Really good</opn><sen>positive</sen>"
] | [
"<asp>uni</asp><opn>Really good</opn><sen>positive</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | university review |
ASTE_694 | ASTE | 694 | 2_10923_1183 | Can be easy or super difficult depending on profs. | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>null</asp><opn>depending on profs</opn><sen>neutral</sen>"
] | [
"<asp>null</asp><opn>depending on profs</opn><sen>neutral</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | course review |
ASTE_1018 | ASTE | 1018 | 3_499_527_219 | I've had the best 3 years of my life at Exeter. I love it so much I'm going back next year to do a masters! | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>Exeter</asp><opn>the best 3 years of my life</opn><sen>positive</sen>",
"<asp>Exeter</asp><opn>going back next year</opn><sen>positive</sen>",
"<asp>Exeter</asp><opn>I love it so much</opn><sen>positive</sen>"
] | [
"<asp>Exeter</asp><opn>the best 3 years of my life</opn><sen>positive</sen>",
"<asp>Exeter</asp><opn>going back next year</opn><sen>positive</sen>",
"<asp>Exeter</asp><opn>I love it so much</opn><sen>positive</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | university review |
ASTE_1031 | ASTE | 1031 | 2_3928_200 | Please just go to the writing center to get your lab proof read. And make sure to put a citation even if it is a simple scientific fact. | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [] | [] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | course review |
ASTE_1035 | ASTE | 1035 | 3_134_143_83 | Great University. The Cornwall campus is absolutely stunning, as beautiful as the Duchy. | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>University</asp><opn>Great</opn><sen>positive</sen>",
"<asp>Cornwall campus</asp><opn>beautiful</opn><sen>positive</sen>",
"<asp>Cornwall campus</asp><opn>absolutely stunning</opn><sen>positive</sen>"
] | [
"<asp>University</asp><opn>Great</opn><sen>positive</sen>",
"<asp>Cornwall campus</asp><opn>beautiful</opn><sen>positive</sen>",
"<asp>Cornwall campus</asp><opn>absolutely stunning</opn><sen>positive</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | university review |
ASTE_1045 | ASTE | 1045 | 3_393_55_287 | I have just completed my first year at Exeter University and I absolutely loved it. Campus / Facilities: I stayed in the St. Germans( sometimes called just Rowe house but they're not the same!) and literally could not have asked for better. I heard that they're going to tear St Germans down to build more blocks like La... | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>first year at Exeter University</asp><opn>absolutely loved it</opn><sen>positive</sen>",
"<asp>Campus / Facilities</asp><opn>could not have asked for better</opn><sen>positive</sen>",
"<asp>null</asp><opn>could not have asked for better</opn><sen>positive</sen>",
"<asp>St Germans</asp><opn>get in while ... | [
"<asp>first year at Exeter University</asp><opn>absolutely loved it</opn><sen>positive</sen>",
"<asp>Campus / Facilities</asp><opn>could not have asked for better</opn><sen>positive</sen>",
"<asp>null</asp><opn>could not have asked for better</opn><sen>positive</sen>",
"<asp>St Germans</asp><opn>get in while ... | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | university review |
ASTE_1053 | ASTE | 1053 | 2_233_54 | Great course with emphasis on proofs covering many topics. Some of the proofs can be pretty challenging to figure out, but are rewarding upon completion. Start your assignments early and don't be afraid to ask friends or your prof for clues to assignment problems if you are stuck. | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>course</asp><opn>Great</opn><sen>positive</sen>",
"<asp>proofs</asp><opn>emphasis</opn><sen>neutral</sen>",
"<asp>topics</asp><opn>many</opn><sen>neutral</sen>",
"<asp>Some of the proofs</asp><opn>pretty challenging</opn><sen>negative</sen>",
"<asp>Some of the proofs</asp><opn>rewarding</opn><sen>posi... | [
"<asp>course</asp><opn>Great</opn><sen>positive</sen>",
"<asp>proofs</asp><opn>emphasis</opn><sen>neutral</sen>",
"<asp>topics</asp><opn>many</opn><sen>neutral</sen>",
"<asp>Some of the proofs</asp><opn>pretty challenging</opn><sen>negative</sen>",
"<asp>Some of the proofs</asp><opn>rewarding</opn><sen>posi... | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | course review |
ASTE_1059 | ASTE | 1059 | 2_10110_1185 | Say good bye to your grades for this course! I feel Chong makes this course harder than it should be his slides / annotation were all over the place. I had to more often than not teach myself the course through websites and the text book. That being said despite being taught by Chong I liked the course a lot. | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>this course</asp><opn>Say good bye to your grades</opn><sen>negative</sen>",
"<asp>Chong</asp><opn>makes this course harder than it should be</opn><sen>negative</sen>",
"<asp>his slides / annotation</asp><opn>all over the place</opn><sen>negative</sen>",
"<asp>the course</asp><opn>I had to more often th... | [
"<asp>this course</asp><opn>Say good bye to your grades</opn><sen>negative</sen>",
"<asp>Chong</asp><opn>makes this course harder than it should be</opn><sen>negative</sen>",
"<asp>his slides / annotation</asp><opn>all over the place</opn><sen>negative</sen>",
"<asp>the course</asp><opn>I had to more often th... | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | course review |
ASTE_1065 | ASTE | 1065 | 2_13419_1340 | Less structure than a lecture, more like a seminar but great! | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>null</asp><opn>Less structure than a lecture</opn><sen>neutral</sen>",
"<asp>null</asp><opn>more like a seminar</opn><sen>neutral</sen>",
"<asp>null</asp><opn>great</opn><sen>positive</sen>"
] | [
"<asp>null</asp><opn>Less structure than a lecture</opn><sen>neutral</sen>",
"<asp>null</asp><opn>more like a seminar</opn><sen>neutral</sen>",
"<asp>null</asp><opn>great</opn><sen>positive</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | course review |
ASTE_1067 | ASTE | 1067 | 3_432_329_60 | I could not imagine going to another University. Exeter has everything, beautiful campus, nice city, near the seaside. Very organized and well run. Spend a lot of efforts helping students find a job when the graduate. Incredible facilities, and one of the best sports complex of any university in the U. K. | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>Exeter</asp><opn>could not imagine going to another University</opn><sen>positive</sen>",
"<asp>Exeter</asp><opn>has everything</opn><sen>positive</sen>",
"<asp>campus</asp><opn>beautiful</opn><sen>positive</sen>",
"<asp>city</asp><opn>nice</opn><sen>positive</sen>",
"<asp>Exeter</asp><opn>Very organi... | [
"<asp>Exeter</asp><opn>could not imagine going to another University</opn><sen>positive</sen>",
"<asp>Exeter</asp><opn>has everything</opn><sen>positive</sen>",
"<asp>campus</asp><opn>beautiful</opn><sen>positive</sen>",
"<asp>city</asp><opn>nice</opn><sen>positive</sen>",
"<asp>Exeter</asp><opn>Very organi... | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | university review |
ASTE_1073 | ASTE | 1073 | 2_13711_274 | Not as hard as people say it is. Overall somewhat complex, but definitely manageable especially if you enjoy the content | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>null</asp><opn>Not as hard as people say it is</opn><sen>positive</sen>",
"<asp>null</asp><opn>Overall somewhat complex</opn><sen>neutral</sen>",
"<asp>null</asp><opn>definitely manageable</opn><sen>positive</sen>"
] | [
"<asp>null</asp><opn>Not as hard as people say it is</opn><sen>positive</sen>",
"<asp>null</asp><opn>Overall somewhat complex</opn><sen>neutral</sen>",
"<asp>null</asp><opn>definitely manageable</opn><sen>positive</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | course review |
ASTE_1075 | ASTE | 1075 | 1_172_2600_11665 | Professor Mason was the BEST math teacher I have ever had and I am so grateful to have taken her class. I hope that she will teach other Math classes that I need to take. She is really there for her students and you can tell that she likes teaching. Also, a very good teacher if you are a visual learner. | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>Professor Mason</asp><opn>a very good teacher</opn><sen>positive</sen>",
"<asp>Professor Mason</asp><opn>the BEST math teacher</opn><sen>positive</sen>",
"<asp>her class</asp><opn>so grateful to have taken</opn><sen>positive</sen>",
"<asp>Professor Mason</asp><opn>hope that she will teach other Math cla... | [
"<asp>Professor Mason</asp><opn>a very good teacher</opn><sen>positive</sen>",
"<asp>Professor Mason</asp><opn>the BEST math teacher</opn><sen>positive</sen>",
"<asp>her class</asp><opn>so grateful to have taken</opn><sen>positive</sen>",
"<asp>Professor Mason</asp><opn>hope that she will teach other Math cla... | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | teacher review |
ASTE_1079 | ASTE | 1079 | 3_421_6_242 | Absolutely incredible first year, students and staff alike were so helpful and friendly. The amount of societies and clubs on offer means there is something for everyone. | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>first year</asp><opn>Absolutely incredible</opn><sen>positive</sen>",
"<asp>students and staff</asp><opn>so helpful and friendly</opn><sen>positive</sen>",
"<asp>societies and clubs</asp><opn>something for everyone</opn><sen>positive</sen>"
] | [
"<asp>first year</asp><opn>Absolutely incredible</opn><sen>positive</sen>",
"<asp>students and staff</asp><opn>so helpful and friendly</opn><sen>positive</sen>",
"<asp>societies and clubs</asp><opn>something for everyone</opn><sen>positive</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | university review |
ASTE_1081 | ASTE | 1081 | 3_114_92_283 | Good social life, nice campus and city. Guild and AI are obstructive and unhelpful | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>social life</asp><opn>Good</opn><sen>positive</sen>",
"<asp>campus and city</asp><opn>nice</opn><sen>positive</sen>",
"<asp>Guild and AI</asp><opn>obstructive and unhelpful</opn><sen>negative</sen>"
] | [
"<asp>social life</asp><opn>Good</opn><sen>positive</sen>",
"<asp>campus and city</asp><opn>nice</opn><sen>positive</sen>",
"<asp>Guild and AI</asp><opn>obstructive and unhelpful</opn><sen>negative</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | university review |
ASTE_1088 | ASTE | 1088 | 2_7869_1301 | This course was just a nightmare. There is just an overload of information and minute details. But only a few certain ideas and areas are actually tested. I feel like if that is what was expected of us to learn than the prof. should have spent more time on those parts. The material comes hard and fast, with little time... | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>This course</asp><opn>nightmare</opn><sen>negative</sen>",
"<asp>information and minute details</asp><opn>overload</opn><sen>negative</sen>",
"<asp>ideas and areas are actually tested</asp><opn>only a few</opn><sen>negative</sen>",
"<asp>prof.</asp><opn>should have spent more time on those parts</opn><s... | [
"<asp>This course</asp><opn>nightmare</opn><sen>negative</sen>",
"<asp>information and minute details</asp><opn>overload</opn><sen>negative</sen>",
"<asp>ideas and areas are actually tested</asp><opn>only a few</opn><sen>negative</sen>",
"<asp>prof.</asp><opn>should have spent more time on those parts</opn><s... | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | course review |
ASTE_1407 | ASTE | 1407 | 3_170_249_271 | Amazing uni overall with great services | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>uni</asp><opn>Amazing</opn><sen>positive</sen>",
"<asp>services</asp><opn>great</opn><sen>positive</sen>"
] | [
"<asp>uni</asp><opn>Amazing</opn><sen>positive</sen>",
"<asp>services</asp><opn>great</opn><sen>positive</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | university review |
ASTE_1438 | ASTE | 1438 | 3_8_271_251 | Good, it’s a good university and all the staff are good. | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>university</asp><opn>Good</opn><sen>positive</sen>",
"<asp>university</asp><opn>good</opn><sen>positive</sen>",
"<asp>all the staff</asp><opn>good</opn><sen>positive</sen>"
] | [
"<asp>university</asp><opn>Good</opn><sen>positive</sen>",
"<asp>university</asp><opn>good</opn><sen>positive</sen>",
"<asp>all the staff</asp><opn>good</opn><sen>positive</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | university review |
ASTE_1458 | ASTE | 1458 | 3_83_95_47 | I will miss the time when I stayed here in Exeter. Lovely campus and people. | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>Exeter</asp><opn>I will miss the time when I stayed here</opn><sen>positive</sen>",
"<asp>campus</asp><opn>Lovely</opn><sen>positive</sen>",
"<asp>people</asp><opn>Lovely</opn><sen>positive</sen>"
] | [
"<asp>Exeter</asp><opn>I will miss the time when I stayed here</opn><sen>positive</sen>",
"<asp>campus</asp><opn>Lovely</opn><sen>positive</sen>",
"<asp>people</asp><opn>Lovely</opn><sen>positive</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | university review |
ASTE_1483 | ASTE | 1483 | 3_513_446_219 | Most amazing campus, amazing helpful staff and great course content- I absolutely love it here! | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>campus</asp><opn>Most amazing</opn><sen>positive</sen>",
"<asp>staff</asp><opn>amazing</opn><sen>positive</sen>",
"<asp>staff</asp><opn>helpful</opn><sen>positive</sen>",
"<asp>course content</asp><opn>great</opn><sen>positive</sen>",
"<asp>null</asp><opn>absolutely love it here</opn><sen>positive</se... | [
"<asp>campus</asp><opn>Most amazing</opn><sen>positive</sen>",
"<asp>staff</asp><opn>amazing</opn><sen>positive</sen>",
"<asp>staff</asp><opn>helpful</opn><sen>positive</sen>",
"<asp>course content</asp><opn>great</opn><sen>positive</sen>",
"<asp>null</asp><opn>absolutely love it here</opn><sen>positive</se... | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | university review |
ASTE_1487 | ASTE | 1487 | 2_6958_294 | This course had some interesting assignments, such as exploiting a buffer overflow, a format string vulnerability, and finding holes in a poorly secured web app. I found the first half of the course interesting and useful, while the second half felt theoretical and dry. In particular, this course won't teach you how to... | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>assignments</asp><opn>interesting</opn><sen>positive</sen>",
"<asp>first half of the course</asp><opn>interesting and useful</opn><sen>positive</sen>",
"<asp>second half</asp><opn>theoretical and dry</opn><sen>negative</sen>",
"<asp>this course</asp><opn>won't teach you how to develop secure web applica... | [
"<asp>assignments</asp><opn>interesting</opn><sen>positive</sen>",
"<asp>first half of the course</asp><opn>interesting and useful</opn><sen>positive</sen>",
"<asp>second half</asp><opn>theoretical and dry</opn><sen>negative</sen>",
"<asp>this course</asp><opn>won't teach you how to develop secure web applica... | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | course review |
ASTE_1901 | ASTE | 1901 | 2_11277_582 | I enjoy anatomy and medical studies. This was not an easy course. Studied so hard for all midterms , tests , and exams, and they were absolutely bogus. Quizzed on things I've never even heard of( even after reading each chapter twice and watching lectures twice to understand course content). Written discussion assignme... | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>anatomy and medical studies</asp><opn>enjoy</opn><sen>positive</sen>",
"<asp>course</asp><opn>not an easy</opn><sen>neutral</sen>",
"<asp>course</asp><opn>Quizzed on things I've never even heard of</opn><sen>negative</sen>",
"<asp>midterms , tests , and exams</asp><opn>absolutely bogus</opn><sen>negativ... | [
"<asp>anatomy and medical studies</asp><opn>enjoy</opn><sen>positive</sen>",
"<asp>course</asp><opn>not an easy</opn><sen>neutral</sen>",
"<asp>course</asp><opn>Quizzed on things I've never even heard of</opn><sen>negative</sen>",
"<asp>midterms , tests , and exams</asp><opn>absolutely bogus</opn><sen>negativ... | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | course review |
ASTE_1905 | ASTE | 1905 | 2_8777_460 | While I generally liked this course, it was really difficult for me to keep up. I'm a fourth year student and even I struggled with the amount of work that was assigned each week. For a 100-level course, the expectations for students are very high and schedule is rigorous. You even lose marks if you miss more than 3 cl... | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>this course</asp><opn>liked</opn><sen>positive</sen>",
"<asp>this course</asp><opn>really difficult</opn><sen>negative</sen>",
"<asp>amount of work</asp><opn>struggled with</opn><sen>negative</sen>",
"<asp>expectations for students</asp><opn>very high</opn><sen>negative</sen>",
"<asp>schedule</asp><op... | [
"<asp>this course</asp><opn>liked</opn><sen>positive</sen>",
"<asp>this course</asp><opn>really difficult</opn><sen>negative</sen>",
"<asp>amount of work</asp><opn>struggled with</opn><sen>negative</sen>",
"<asp>expectations for students</asp><opn>very high</opn><sen>negative</sen>",
"<asp>schedule</asp><op... | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | course review |
ASTE_1913 | ASTE | 1913 | 1_88_1687_18733 | All the exam questions come from the assigned homework problems. There are no trick questions. People complained that he doesn't teach. But that is not true! Just read the chapters before class, go to every lecture, and do all the homework. If your still having trouble see him during his office hours. Asking questions ... | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>exam questions</asp><opn>no trick questions</opn><sen>positive</sen>",
"<asp>he doesn't teach</asp><opn>not true</opn><sen>positive</sen>",
"<asp>Asking questions in class</asp><opn>too difficult</opn><sen>negative</sen>"
] | [
"<asp>exam questions</asp><opn>no trick questions</opn><sen>positive</sen>",
"<asp>he doesn't teach</asp><opn>not true</opn><sen>positive</sen>",
"<asp>Asking questions in class</asp><opn>too difficult</opn><sen>negative</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | teacher review |
ASTE_1918 | ASTE | 1918 | 2_9715_1520 | 2 midterms 1 final, all multiple choice. The tests are tricky but the course requires very little effort. It's pretty fun if you take it with your friends because you can gather and watch movies every week. Interesting concepts, deep analysis on film music. | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>tests</asp><opn>tricky</opn><sen>negative</sen>",
"<asp>course</asp><opn>requires very little effort</opn><sen>positive</sen>",
"<asp>course</asp><opn>pretty fun</opn><sen>positive</sen>",
"<asp>concepts</asp><opn>Interesting</opn><sen>positive</sen>",
"<asp>analysis on film music</asp><opn>deep</opn>... | [
"<asp>tests</asp><opn>tricky</opn><sen>negative</sen>",
"<asp>course</asp><opn>requires very little effort</opn><sen>positive</sen>",
"<asp>course</asp><opn>pretty fun</opn><sen>positive</sen>",
"<asp>concepts</asp><opn>Interesting</opn><sen>positive</sen>",
"<asp>analysis on film music</asp><opn>deep</opn>... | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | course review |
ASTE_1920 | ASTE | 1920 | 2_9204_320 | Kwan made this course a nightmare online | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>Kwan</asp><opn>made this course a nightmare</opn><sen>negative</sen>"
] | [
"<asp>Kwan</asp><opn>made this course a nightmare</opn><sen>negative</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | course review |
ASTE_1925 | ASTE | 1925 | 2_12141_1498 | Best course in 1A | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>course</asp><opn>Best</opn><sen>positive</sen>"
] | [
"<asp>course</asp><opn>Best</opn><sen>positive</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | course review |
ASTE_1927 | ASTE | 1927 | 1_206_284_13510 | I love this class. The class discussions are always interesting and helpful. Mrs. Coley really cares about her students, and i learned a lot of life lessons in this class that I will keep with me forever. As long as you study you will pass. You couldnt wish for a better teacher. I would recommend this class to anyone | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>this class</asp><opn>I love</opn><sen>positive</sen>",
"<asp>this class</asp><opn>you will pass</opn><sen>positive</sen>",
"<asp>class discussions</asp><opn>interesting and helpful</opn><sen>positive</sen>",
"<asp>Mrs. Coley</asp><opn>really cares about her students</opn><sen>positive</sen>",
"<asp>th... | [
"<asp>this class</asp><opn>I love</opn><sen>positive</sen>",
"<asp>this class</asp><opn>you will pass</opn><sen>positive</sen>",
"<asp>class discussions</asp><opn>interesting and helpful</opn><sen>positive</sen>",
"<asp>Mrs. Coley</asp><opn>really cares about her students</opn><sen>positive</sen>",
"<asp>th... | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | teacher review |
ASTE_1952 | ASTE | 1952 | 2_10808_191 | A really interesting course with content that you can see come into play during labs and such. Really need to pay attention in lectures and pick up key concepts because exams and lab reports can get pretty nit-picky, but the information isn't too hard to piece together. | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>course</asp><opn>really interesting</opn><sen>positive</sen>",
"<asp>content</asp><opn>you can see come into play during labs and such</opn><sen>neutral</sen>",
"<asp>exams and lab reports</asp><opn>can get pretty nit-picky</opn><sen>negative</sen>",
"<asp>information</asp><opn>isn't too hard to piece t... | [
"<asp>course</asp><opn>really interesting</opn><sen>positive</sen>",
"<asp>content</asp><opn>you can see come into play during labs and such</opn><sen>neutral</sen>",
"<asp>exams and lab reports</asp><opn>can get pretty nit-picky</opn><sen>negative</sen>",
"<asp>information</asp><opn>isn't too hard to piece t... | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | course review |
ASTE_1983 | ASTE | 1983 | 3_340_334_156 | Great experiences at studying here. | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>null</asp><opn>Great experiences</opn><sen>positive</sen>"
] | [
"<asp>null</asp><opn>Great experiences</opn><sen>positive</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | university review |
ASTE_1987 | ASTE | 1987 | 2_3279_165 | About half of the course was somewhat review from high school pre-calculus, so the midterm was relatively easy. A lot of the newer content was covered in the second-half of the course but it shouldn't be difficult if you keep up with the assigned work! | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>About half of the course</asp><opn>somewhat review from high school pre-calculus</opn><sen>neutral</sen>",
"<asp>midterm</asp><opn>relatively easy</opn><sen>positive</sen>",
"<asp>newer content</asp><opn>shouldn't be difficult</opn><sen>neutral</sen>"
] | [
"<asp>About half of the course</asp><opn>somewhat review from high school pre-calculus</opn><sen>neutral</sen>",
"<asp>midterm</asp><opn>relatively easy</opn><sen>positive</sen>",
"<asp>newer content</asp><opn>shouldn't be difficult</opn><sen>neutral</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | course review |
ASTE_1993 | ASTE | 1993 | 3_24_268_95 | Great university with very supportive and hardworking lecturers. | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>university</asp><opn>Great</opn><sen>positive</sen>",
"<asp>lecturers</asp><opn>very supportive and hardworking</opn><sen>positive</sen>"
] | [
"<asp>university</asp><opn>Great</opn><sen>positive</sen>",
"<asp>lecturers</asp><opn>very supportive and hardworking</opn><sen>positive</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | university review |
ASTE_2201 | ASTE | 2201 | 1_172_836_14597 | awesome math teacher, absolutely hilarious, i loved going to math class. i had the best classmates and he was always making us laugh. he make you feel comfortable and if you don't understand something he explains it thoroughly. i would deff take his class again | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>math teacher</asp><opn>awesome</opn><sen>positive</sen>",
"<asp>math teacher</asp><opn>would deff take his class again</opn><sen>positive</sen>",
"<asp>math teacher</asp><opn>absolutely hilarious</opn><sen>positive</sen>",
"<asp>math class</asp><opn>i loved going</opn><sen>positive</sen>",
"<asp>math ... | [
"<asp>math teacher</asp><opn>awesome</opn><sen>positive</sen>",
"<asp>math teacher</asp><opn>would deff take his class again</opn><sen>positive</sen>",
"<asp>math teacher</asp><opn>absolutely hilarious</opn><sen>positive</sen>",
"<asp>math class</asp><opn>i loved going</opn><sen>positive</sen>",
"<asp>math ... | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | teacher review |
ASTE_2208 | ASTE | 2208 | 1_83_56_11011 | Very , very informative and overall , great professor. He requires a lot of group work, but assignments are very easy. If you want an easy A, take his course! | ### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressing evaluation, feeling, or judgment (including both explici... | [
"<asp>professor</asp><opn>Very , very informative and overall , great</opn><sen>positive</sen>",
"<asp>group work</asp><opn>a lot</opn><sen>neutral</sen>",
"<asp>assignments</asp><opn>very easy</opn><sen>positive</sen>",
"<asp>his course</asp><opn>easy A</opn><sen>positive</sen>"
] | [
"<asp>professor</asp><opn>Very , very informative and overall , great</opn><sen>positive</sen>",
"<asp>group work</asp><opn>a lot</opn><sen>neutral</sen>",
"<asp>assignments</asp><opn>very easy</opn><sen>positive</sen>",
"<asp>his course</asp><opn>easy A</opn><sen>positive</sen>"
] | ### Task type: aspect-sentiment triplet extraction (ASTE)
### Instruction:
Given the input text, extract ALL pairs of opinion expressions and their corresponding aspect terms about the course, staff, or university. Then classify the sentiment for each aspect-opinion pair.
Opinion expressions are words/phrases expressin... | teacher review |
End of preview.
Licence and Copyright
Copyright (c) 2025 Authors of Data-Efficient Adaptation and a Novel Evaluation Method for Aspect-based Sentiment Analysis.
Both the original, and the formatted versions of the EduRABSA dataset presented in this repository are under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).
Attribution is required. You may not use this dataset for commercial purposes. Any derivatives must be shared under CC BY-NC-SA 4.0.
EduRABSA_SLM_v1_Test_data
This dataset contains the dev and test sets used for developing the EduRABSA_SLM_v1 models.
This dataset was developed on a subset of the test split of the EduRABSA dataset on the OE, AOPE, AOC, ASTE, and ASQE tasks, where:
- each
devset contains 200 entries per task, and was used for post-training hyperparameter tuning. - each
testset contains 300 entries per task, and was used for final model evaluation. - Each
dev/testdataset has two versions: with 0-shot prompt and 4-shot prompt.
Full details about the dataset are available in the original paper EduRABSA: An Education Review Dataset for Aspect-based Sentiment Analysis Tasks.
To cite this dataset:
@misc{hua2025dataefficientadaptationnovelevaluation,
title={Data-Efficient Adaptation and a Novel Evaluation Method for Aspect-based Sentiment Analysis},
author={Yan Cathy Hua and Paul Denny and Jörg Wicker and Katerina Taškova},
year={2025},
eprint={2511.03034},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2511.03034},
}
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