Create dataset loader for SEACrowd Instruct Multi-task Collection

[SamuelCahyawijaya]

Dataloader name: seacrowd_instruct/seacrowd_instruct.py
DataCatalogue: http://seacrowd.github.io/seacrowd-catalogue/card.html?seacrowd_instruct

Dataset	seacrowd_instruct
Description	The SEACrowd Instruct Multi-task Collection is a multi-task, instruction-formatted compilation of 29 preexisting datasets from SEACrowd. The collection comprises 332,040 question-answer pairs, to integrate the permissively licensed datasets in SEACrowd into the Data Provenance Explorer tool as well as multi-task instruction fine-tuning.
Subsets	Bhinneka Korpus - Translated, CebuaNER - Translated, EMoTES-3K - Translated, Fake News Filipino - Translated, Filipino Hate Speech Tiktok - Text - Translated, Filipino Slang Spelling Normalization - Translated, id-vaccines-tweets - Translated, identifikasi-bahasa - Translated, IndoNER-Tourism - Translated, Indonesia-Chinese-MTRobustEval - Translated, LimeSoda - Translated, MABL - Translated, MKQA - Translated, Multilabel Multiclass Sentiment and Emotion Dataset from Indonesian Mobile Application Review - Translated, Myanmar (Burmese) Name Romanization with Alignment on Grapheme-Level - Translated, NTREX-128 - Translated, SPAMID-PAIR - Translated, Tagalog Profanity Dataset - Translated, Thai Depression Dataset - Translated, Thai Toxicity Tweet Corpus - Translated, Typhoon Yolanda Tweets - Translated, UIT-ViCTSD - Translated, UIT-ViOCD - Translated, Vietnamese Social Media Emotion Corpus (UIT-VSMEC) - Translated, ViHealthQA - Translated, Wisesight Thai Sentiment Corpus - Translated, Wongnai Reviews - Translated, XNLI - Translated, XStoryCloze - Translated
Languages	eng, cmn, ind, mya, vie, tha, fil, tgl, khg, hmv, hmf, hnj, lao, zlm, por, tam, yue, khm, jav, abs, ceb, day, xdy, aoz
Tasks	Instruction Tuning
License	Unknown (unknown)
Homepage	https://github.com/Data-Provenance-Initiative/Data-Provenance-Collection/blob/main/data_summaries/Seacrowd.json
HF URL	https://huggingface.co/datasets/minnieliang5/seacrowd
Paper URL	-