Dataset state after applying our data preparation algorithm.
<p>Dataset state after applying our data preparation algorithm.</p>
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2024
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| _version_ | 1852026022411632640 |
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| author | Tanjim Taharat Aurpa (11250554) |
| author2 | Md. Shoaib Ahmed (19832197) Md. Mahbubur Rahman (4068862) Md. Golam Moazzam (19832200) |
| author2_role | author author author |
| author_facet | Tanjim Taharat Aurpa (11250554) Md. Shoaib Ahmed (19832197) Md. Mahbubur Rahman (4068862) Md. Golam Moazzam (19832200) |
| author_role | author |
| dc.creator.none.fl_str_mv | Tanjim Taharat Aurpa (11250554) Md. Shoaib Ahmed (19832197) Md. Mahbubur Rahman (4068862) Md. Golam Moazzam (19832200) |
| dc.date.none.fl_str_mv | 2024-10-10T17:31:27Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0311161.t003 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Dataset_state_after_applying_our_data_preparation_algorithm_/27206566 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biotechnology Cancer Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified providing detailed guidelines generalized autoregressive pretraining dataset comprising 11 categorizing instructional text bert ), etc accomplish specific tasks label instruction category label category meticulously search allows people people &# 8217 macro average scores demonstrated unprecedented performance creating knowledge bases label instruction classification various search styles strategy &# 8217 proposed &# 8216 find sequential instructions macro average score instructnet &# 8217 label classification search engines macro f1 &# 8221 &# 8220 various topics proposed architectures performance metrics level strategy comprehensive knowledge xlnet architecture widely used study uses specialized objects preferred resource particular problems oriented learning noteworthy accomplishment multiple categories language understanding identified areas high level forthcoming improvement find solutions evaluation process daily essentials become familiar also essential 93 %, 121 observations |
| dc.title.none.fl_str_mv | Dataset state after applying our data preparation algorithm. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Dataset state after applying our data preparation algorithm.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_0696ba88ee7fb7cc8b2f516dfbc5a62d |
| identifier_str_mv | 10.1371/journal.pone.0311161.t003 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/27206566 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Dataset state after applying our data preparation algorithm.Tanjim Taharat Aurpa (11250554)Md. Shoaib Ahmed (19832197)Md. Mahbubur Rahman (4068862)Md. Golam Moazzam (19832200)BiotechnologyCancerScience PolicyBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedproviding detailed guidelinesgeneralized autoregressive pretrainingdataset comprising 11categorizing instructional textbert ), etcaccomplish specific taskslabel instruction categorylabel category meticulouslysearch allows peoplepeople &# 8217macro average scoresdemonstrated unprecedented performancecreating knowledge baseslabel instruction classificationvarious search stylesstrategy &# 8217proposed &# 8216find sequential instructionsmacro average scoreinstructnet &# 8217label classificationsearch enginesmacro f1&# 8221&# 8220various topicsproposed architecturesperformance metricslevel strategycomprehensive knowledgexlnet architecturewidely usedstudy usesspecialized objectspreferred resourceparticular problemsoriented learningnoteworthy accomplishmentmultiple categorieslanguage understandingidentified areashigh levelforthcoming improvementfind solutionsevaluation processdaily essentialsbecome familiaralso essential93 %,121 observations<p>Dataset state after applying our data preparation algorithm.</p>2024-10-10T17:31:27ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0311161.t003https://figshare.com/articles/dataset/Dataset_state_after_applying_our_data_preparation_algorithm_/27206566CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/272065662024-10-10T17:31:27Z |
| spellingShingle | Dataset state after applying our data preparation algorithm. Tanjim Taharat Aurpa (11250554) Biotechnology Cancer Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified providing detailed guidelines generalized autoregressive pretraining dataset comprising 11 categorizing instructional text bert ), etc accomplish specific tasks label instruction category label category meticulously search allows people people &# 8217 macro average scores demonstrated unprecedented performance creating knowledge bases label instruction classification various search styles strategy &# 8217 proposed &# 8216 find sequential instructions macro average score instructnet &# 8217 label classification search engines macro f1 &# 8221 &# 8220 various topics proposed architectures performance metrics level strategy comprehensive knowledge xlnet architecture widely used study uses specialized objects preferred resource particular problems oriented learning noteworthy accomplishment multiple categories language understanding identified areas high level forthcoming improvement find solutions evaluation process daily essentials become familiar also essential 93 %, 121 observations |
| status_str | publishedVersion |
| title | Dataset state after applying our data preparation algorithm. |
| title_full | Dataset state after applying our data preparation algorithm. |
| title_fullStr | Dataset state after applying our data preparation algorithm. |
| title_full_unstemmed | Dataset state after applying our data preparation algorithm. |
| title_short | Dataset state after applying our data preparation algorithm. |
| title_sort | Dataset state after applying our data preparation algorithm. |
| topic | Biotechnology Cancer Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified providing detailed guidelines generalized autoregressive pretraining dataset comprising 11 categorizing instructional text bert ), etc accomplish specific tasks label instruction category label category meticulously search allows people people &# 8217 macro average scores demonstrated unprecedented performance creating knowledge bases label instruction classification various search styles strategy &# 8217 proposed &# 8216 find sequential instructions macro average score instructnet &# 8217 label classification search engines macro f1 &# 8221 &# 8220 various topics proposed architectures performance metrics level strategy comprehensive knowledge xlnet architecture widely used study uses specialized objects preferred resource particular problems oriented learning noteworthy accomplishment multiple categories language understanding identified areas high level forthcoming improvement find solutions evaluation process daily essentials become familiar also essential 93 %, 121 observations |