Datasets:

puttatidam
/

talpco-zsm-bitextmining

source large_stringlengths 4 91	target large_stringlengths 5 111	source_row_index int64 0 1.37k	flags_fired large_stringclasses 4 values
Mr Tanaka is not a student.	Encik Tanaka bukan pelajar.	0	null
My father is a teacher.	Ayah saya guru.	1	null
There is no school.	Sekolah cuti.	2	null
It was sunny in Tokyo.	Cuaca di Tokyo cerah.	3	null
There is a tree in the park.	Ada pokok di taman.	4	null
Where is Mr Tanaka?	Encik Tanaka ada di mana?	5	null
I do not have any money.	Saya tidak ada wang.	6	null
There is a book on the desk.	Ada buku di atas meja.	7	null
There is a bag under the desk.	Ada beg di bawah meja.	8	null
There is a notebook in the bag.	Di dalam beg ada buku nota.	9	null
Mr Yamada is to the right of Mr Tanaka.	Encik Yamada ada di sebelah kanan Encik Tanaka.	10	null
Ms Kimura is to the left of Mr Tanaka.	Cik Kimura ada di sebelah kiri Encik Tanaka.	11	null
There is a cat in front of the house.	Ada kucing di depan rumah.	12	flag_near_duplicate_field1
There is a car behind the house.	Di belakang rumah ada kereta.	13	null
The postbox is across the street from our house.	Peti surat ada di depan rumah saya.	14	null
Mr Yamada is outside the classroom.	Encik Yamada ada di luar bilik darjah.	15	null
There is a park in front of the house.	Ada taman di depan rumah saya.	16	null
The school is near the house.	Sekolah terletak di kawasan dekat dengan rumah.	17	null
The book is in the bag.	Buku di dalam beg.	18	null
This is my pen.	Ini pen saya.	19	null
Where is the Japanese classroom?	Di manakah bilik darjah untuk bahasa Jepun?	20	null
When is that newspaper from?	Itu surat khabar bila?	21	null
There is a new computer in the classroom.	Ada sebuah komputer baru di dalam bilik darjah.	22	null
There is a small dog in the box.	Ada anjing kecil di dalam kotak.	23	null
Mr Tanaka is an energetic person.	Encik Tanaka seseorang yang ceria.	24	null
What kind of film is it?	Filem yang bagaimana?	25	null
It's an old Japanese film.	Filem lama Jepun.	26	flag_punctuation_mismatch
Which shoes are you going to buy?	Awak nak beli kasut yang mana?	27	null
That is the Japanese dictionary.	Itulah kamus bahasa Jepun.	28	null
Mr Tanaka's bag is there.	Beg Puan Tanaka ada di situ.	29	flag_punctuation_mismatch
Our teacher is over there.	Ada guru di sana.	30	null
That book is mine.	Buku itu saya punya.	31	null
That big bag is mine.	Beg besar itu saya punya.	32	null
Excuse me, where is the toilet?	Tumpang tanya, tandas ada di mana?	33	null
Whose bag is that?	Milik siapakah beg itu?	34	null
That is Mr Tanaka's.	Itu Encik Tanaka punya.	35	flag_punctuation_mismatch
Where is the teacher's car?	Kereta cikgu ada di mana?	36	flag_punctuation_mismatch
There are seven pieces of cake.	Ada tujuh potong kek.	37	null
How much is this ballpoint pen?	Berapakah harga pen ini?	38	null
I will buy ten stamps and three postcards.	Saya membeli sepuluh keping setem dan tiga keping poskad.	39	null
There are two dictionaries and one magazine on the teacher's desk.	Di atas meja guru ada dua buah kamus dan sebuah majalah.	40	flag_punctuation_mismatch
How many handkerchiefs are there?	Berapa helai sapu tangan yang ada di sana?	41	null
It is five o'clock now.	Sekarang pukul lima.	42	flag_punctuation_mismatch
What time is it now?	Pukul berapa sekarang?	43	null
It is 10.51 right now.	Pukul sepuluh lima puluh satu minit.	44	null
What's the date today?	Hari ini berapa hari bulan?	45	flag_punctuation_mismatch
There is a TV next to the piano.	TV ada di sebelah piano.	46	null
Class will finish in the morning tomorrow.	Kelas akan habis pada waktu pagi esok.	47	null
I go to school every day.	Saya pergi ke sekolah setiap hari.	48	null
Mr Tanaka studies at the library, but I study at home.	Encik Tanaka belajar di perpustakaan tetapi saya belajar di rumah.	49	null
I studied yesterday.	Saya belajar semalam.	50	null
I will go home.	Saya balik ke rumah.	51	null
No, I won't go.	Tidak, saya tidak pergi.	52	flag_punctuation_mismatch
Mr Tanaka drinks Coca-Cola.	Encik Tanaka akan minum air Coca-Cola.	53	null
I will send a letter to Mr Tanaka.	Saya akan hantar surat kepada Encik Tanaka.	54	null
I will lend money to Mr Yamada.	Saya meminjamkan wang kepada Encik Yamada.	55	null
I will teach Ms Kimura English.	Saya mengajar bahasa Inggeris kepada Cik Kimura.	56	null
I will borrow money from Mr Yamada.	Saya meminjam wang daripada Encik Yamada.	57	null
I will put a book on the desk.	Saya letak buku di atas meja.	58	null
I wake up at 7.30.	Saya bangun pada pukul tujuh setengah.	59	null
I will go to sleep at 11.00.	Saya akan tidur pada pukul sebelas.	60	null
I play tennis on Sundays.	Pada hari Ahad saya bermain tenis.	61	null
When do you play tennis?	Bila awak bermain tenis?	62	null
I watched a film.	Saya tengok wayang.	63	null
I travelled during summer vacation.	Saya pergi melancong semasa cuti musim panas.	64	null
We will have a party for Mr Yamada's birthday.	Kami akan membuat majlis pada hari jadi Encik Yamada.	65	flag_punctuation_mismatch
My family's dog is big.	Anjing di rumah saya besar.	66	flag_punctuation_mismatch
The dog next door is not very big.	Anjing di rumah jiran tidak besar.	67	null
It is not cold today.	Hari ini tidak sejuk.	68	null
Is Japanese food spicy?	Makanan Jepun pedas?	69	null
No, it is not spicy.	Tidak, tidak pedas.	70	null
Is it cold outside?	Di luar sejuk?	71	null
How is Japanese food?	Bagaimana dengan masakan Jepun?	72	null
This bag was expensive.	Beg ini mahal.	73	null
The food at the party was not very good.	Hidangan di majlis tersebut tidak berapa sedap.	74	null
How was yesterday's film?	Bagaimana filem yang awak tengok semalam?	75	flag_punctuation_mismatch
My room is not that large.	Bilik saya tidak begitu luas.	76	null
I feel very tired.	Saya sangat letih.	77	null
I didn't get very tired.	Saya tidak begitu penat.	78	flag_punctuation_mismatch
There aren't a lot of tall buildings around here.	Dekat kawasan sini, tidak banyak bangunan yang tinggi.	79	flag_punctuation_mismatch
There is a good store in front of the station.	Ada kedai bagus di depan stesen.	80	null
This room is very quiet.	Bilik sini sangat senyap.	81	null
Your clothes are beautiful.	Cantiknya baju ini, ya.	82	null
Mr Tanaka is tall.	Ketinggian badan Encik Tanaka tinggi.	83	null
My throat hurts from yesterday.	Saya sakit tekak sejak semalam.	84	null
Does your head hurt?	Kepala awak sakit?	85	null
No, it doesn't hurt.	Tidak, tidak sakit.	86	flag_punctuation_mismatch
Roads in this town are narrow.	Jalan di bandar ini sempit.	87	null
The colours in this picture are very beautiful.	Warna lukisan ini cantik.	88	null
I am not good at singing (a song).	Saya tidak pandai menyanyi lagu.	89	flag_punctuation_mismatch
Mr Yamada's father works hard.	Ayah Encik Yamada seorang yang bekerja dengan rajin.	90	flag_punctuation_mismatch
Mr Yamada's father is a doctor.	Ayah Encik Yamada seorang doktor.	91	flag_punctuation_mismatch
Please do not forget the homework.	Jangan lupa tentang kerja rumah.	92	null
We can study here.	Kita boleh belajar di sini.	93	null
I think that person is a Japanese teacher.	Saya rasa orang itu guru bahasa Jepun.	94	null
This is the tape I bought yesterday.	Ini pita pelekat yang saya beli semalam.	95	null
When you do not know the way, please call and ask.	Sila telefon dan tanya, sekiranya awak tidak tahu jalan.	96	null
Mr Kobayashi is wearing a blue shirt.	Encik Kobayashi pakai kemeja biru.	97	null
It was written in the letter.	Ada ditulis di dalam surat.	98	null
After eating, we brush our teeth.	Selepas habis makan, saya menggosok gigi.	99	null

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talpco-zsm-bitextmining

Deduplicated copy of kornwtp/talpco-zsm-bitextmining, part of the SEA-BED data-quality work.

Source dataset: kornwtp/talpco-zsm-bitextmining
Deduplicated on: 2026-09-04
Task type: bitext_mining
Splits: train

What changed

Duplicate (source, target) pairs collapsed to one row, and per-side duplicate sources/targets collapsed so the split has a retrieval ceiling of 1.0 on both sides. Every removed row was an exact duplicate after normalization; no row was removed for being low quality.

Row counts and the exact policy used are recorded in bitext_mining_dedup_summary.csv in the analysis repo. This dataset is not identical to the published SEA-BED data -- scores computed on it are not directly comparable to published SEA-BED numbers.

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