OpenLLM-France/wikimedia huggingface dataset:
# English-Chinese/The main difference between the two mobile cellular systems (1G and 2G), is that the radio signals used by 1G networks are analog, while 2G networks are digital

The main difference between the two mobile cellular systems (1G and 2G), is that the radio signals used by 1G networks are analog, while 2G networks are digital.
两种手机系统（1G和2G）之间的主要区别在于1G网络使用的无线电信号是模拟的，而2G网络是数字的。
# English-Chinese/The makeup of the colostrum and the period of secretion varies from species to species

The makeup of the colostrum and the period of secretion varies from species to species.
初乳的构成和分泌的时期因物种而异。
# English-Chinese/The moon is a charming sky body that can be seen almost every night

The moon is a charming sky body that can be seen almost every night.
月亮是一个迷人的天体，几乎每个晚上都可以看到。
# English-Chinese/The major long-term complications of diabetes relate to damage to blood vessels

The major long-term complications of diabetes relate to damage to blood vessels.
糖尿病的主要长期并发症与血管损伤有关。
# English-Chinese/The man who killed his wife was very bad

The man who killed his wife was very bad.
杀死妻子的男人非常坏。
# English-Chinese/The market of Japanese ingredients is growing

The market of Japanese ingredients is also growing, with brands such as Ajinomoto, Kikkoman, Nissin and Kewpie mayonnaise, are establishing production base in other Asian countries, such as China, Thailand and Indonesia.
日本原料市场也在增长，味之素，龟甲万，日清和丘比蛋黄酱等品牌正在其他亚洲国家建立生产基地，如中国，泰国和印度尼西亚。
# English-Chinese/The mood disorders are a group of disorders considered to be primary disturbances of mood

The mood disorders are a group of disorders considered to be primary disturbances of mood.
情绪障碍是一组被认为是情绪的主要障碍的障碍。
# English-Chinese/The man gave his wife a gold ring at the wedding

The man gave his wife a gold ring at the wedding.
那个男人 在婚礼上 给了 他的妻子 一枚金戒指。
# English-Chinese/The main function of the nose is respiration, and the nasal mucosa lining the nasal cavity and the paranasal sinuses carries out the necessary conditioning of inhaled air by warming and moistening it

The main function of the nose is respiration, and the nasal mucosa lining the nasal cavity and the paranasal sinuses carries out the necessary conditioning of inhaled air by warming and moistening it. Nasal conchae, shell-like bones in the walls of the cavities play a major part in this process.
鼻子的主要功能是呼吸，鼻腔和鼻旁鼻窦的鼻粘膜通过加热和润湿来进行必要的吸入空气调节。鼻腔内腔中的壳状骨骼在这个过程中起主要作用。
# English-Chinese/The moon is the sky body that orbits the earth

The moon is the sky body that orbits the earth.
月球是绕地球运行的天体。
# English-Chinese/Iceland is an island nation in the North Atlantic

Iceland is an island nation in the North Atlantic. It is one of the Nordic countries and is therefore culturally part of Europe. The name “Iceland” is not appropriate: although the glaciers cover 10% of the land, the climate is mild and volcanic activity keeps the country warm.
冰岛是北大西洋的一个岛国。 它是北欧国家之一，因此在文化上属于欧洲的一部分。 “冰岛”这个名称并不合适：虽然冰川覆盖了10％的土地，但气候温和，火山活动使该国保持温暖。
# English-Chinese/I will talk about dogs

I will talk about dogs.
我会谈论关于狗。
# English-Chinese/I would say the same thing to any person

I would say the same thing to any person.
我会对任何人说同样的话。
# English-Chinese/Iceland is a Northern European island country
## English

Iceland is a Northern European island country in the North Atlantic with a population of 348,580 and an area of 103,000 square kilometers. It is the country with the lowest population density in Europe. The capital and the largest city is Reykjavik.

## Hanzi

Iceland是北大西洋的北欧岛国，人口348,580，面积103,000平方千米。 它是欧洲人口密度最低的国家。 首都和最大的城市是Reykjavik。

## Pinyin

Iceland shì Běidàxīyáng de Běi'ōu dǎoguó, rénkǒu 348,580, miànjī 103,000 píngfāng qiān mǐ. Tā shì Ōuzhōu rénkǒu mìdù zuìdī de guójiā. Shǒudū hé zuìdà de chéngshì shì Reykjavik.
# English-Chinese/I want to see many sky bodies in the universe

I want to see many sky bodies in the universe.
我想在宇宙中看到许多天体。
# English-Chinese/I will go home at 11pm

I will go home at 11pm.
我将在晚上11点回家。
# English-Chinese/I walked across the bridge

I walked across the bridge.
我走过桥。
# English-Chinese/I walked across the bridge to the other side

I walked across the bridge to the other side.
我走过桥到另一边。
# English-Chinese/I walked to the back of the house

I walked to the back of the house.
我走到了房子的后面。
# English-Chinese/I used to like this girl from my class as she is pretty

I used to like this girl from my class as she is pretty, gentle and caring.
我曾经喜欢我班上的这个女孩，因为她漂亮，温柔，有爱心。
# English-Chinese/Information refers to data that has been checked and passed the test

Information refers to data that has been checked and passed the test.
资讯 是指 已经检查 并 通过测试的 数据。
# English-Chinese/Inflammations that lead to serious depression could be caused by common infections such as those caused by a virus, bacteria or even parasites

Inflammations that lead to serious depression could be caused by common infections such as those caused by a virus, bacteria or even parasites.
导致 严重抑郁症的 炎症 可能 由 常见感染 引起，例如 由 病毒，细菌 甚至 寄生虫 引起的 感染。
# English-Chinese/Inflammation is the first reaction of the immune system to an infection or irritation

Inflammation is the first reaction of the immune system to an infection or irritation.
炎症是免疫系统对感染或刺激的第一反应。
# English-Chinese/Inflammation is usually regulated by the body

Inflammation is usually regulated by the body.
炎症通常由身体调节。
# English-Chinese/Influenza

Influenza, better known as the flu and sometimes called the grippe, is a common childhood illness, but is not as common among adults. It is not limited to humans, most mammals and many birds can also catch influenza. It is caused by several different viruses (such as RNA virus), which is why people can have the flu more than once. The name influenza comes from Italian: influenza, meaning "influence".
流感 是 一种 常见的 儿童疾病，但 在 成年人中 并不常见。它 不仅限于 人类，大多数 哺乳动物 和 许多 鸟类 也可以 患上流感。它是 由 一些 不同的 病毒 引起的（如 RNA病毒），这就是 人们 不止一次 感染流感的 原因。流感的 名称 来自 意大利语：流感，意为 “影响”。
# English-Chinese/Information

The word "information" is used in many different ways. Originally, it comes from a word that meant to give a form to something. Information is something that people can learn, know about, or understand. For example, a newspaper contains information about the world. This article contains information about "Information".
“信息” 一词 以 许多 不同的 方式 使用。起初，它 来自 给 某事物 特定意思的 一个词。信息 是 人们 可以 学习，了解 或 理解的 东西。例如，报纸 包含 有关 世界的 信息。本文 包含 有关 “信息” 的 信息。
# English-Chinese/Inflammation is a generic response, and therefore it is considered as a mechanism of innate immunity, as compared to adaptive immunity, which is specific for each pathogen

Inflammation is a generic response, and therefore it is considered as a mechanism of innate immunity, as compared to adaptive immunity, which is specific for each pathogen.
炎症是一种通用的反应，因此与适应性免疫相比，它被认为是先天免疫的机制，适应性免疫对每种病原体都是特异性的。
# English-Chinese/Inflammatory abnormalities are the causes that lead to many diseases

Inflammatory abnormalities are the causes that lead to many diseases.
炎症异常是导致许多疾病的原因。
# English-Chinese/Information is something that people can learn and understand

Information is something that people can learn and understand.
信息是人们可以学习和理解的东西。
# English-Chinese/Inflammation is part of the complex biological response of body tissues to harmful stimuli, such as pathogens, damaged cells, or irritants, and is a protective response involving immune cells, blood vessels, and molecular mediators

Inflammation is part of the complex biological response of body tissues to harmful stimuli, such as pathogens, damaged cells, or irritants, and is a protective response involving immune cells, blood vessels, and molecular mediators.
炎症是身体组织对有害刺激（例如病原体，受损细胞或刺激物）的复杂生物反应的一部分，并且是涉及免疫细胞，血管和分子介质的保护性反应。
# Bloom Clock/Keys/Central Pennsylvania/August/Purple Flowers/DPL

This page is used to help create a graphical list.
* BCP/Echinacea purpurea
* BCP/Cirsium arvense
* BCP/Arctium lappa
* BCP/Torenia fournieri
* BCP/Liatris spicata
* BCP/Hosta
* BCP/Trifolium pratense
* BCP/Securigera varia
* BCP/Cirsium vulgare
* BCP/Hemerocallis
* BCP/Verbena bracteata
# Bloom Clock/Keys/Central Pennsylvania/August/Red Flowers/DPL

This page is used to help create a graphical list.
# Bloom Clock/Keys/Central Pennsylvania/August/Pink Flowers/DPL

This page is used to help create a graphical list.
* BCP/Echinacea purpurea
* BCP/Persicaria maculosa
* BCP/Torenia fournieri
* BCP/Saponaria officinalis
* BCP/Trifolium repens
* BCP/Trifolium pratense
* BCP/Securigera varia
* BCP/Asclepias incarnata
* BCP/Hemerocallis
# Bloom Clock/Keys/Central Pennsylvania/August/Red Flowers

The plants pictured below have been recorded as blooming during the month of August in Central Pennsylvania.
Hemerocallis
| Flower of H. fulva, one of the most commonly encountered daylilies Wikipedia • Commons • Wikibooks (horticulture) • Wikibooks (subject) • Wikispecies • Fruit and seed clock | Profile for Hemerocallis (Daylily) Identifying Characteristics Habit:clumping herbaceous plantFlowers:3 petals and 3 sepals nearly equal. Each flower lasts only one day.Foliage:Basal, straplikeLife Cycle: Perennial Recent Logs Jomegat 04:43, 6 June 2009 (UTC) Jomegat 00:48, 22 July 2009 (UTC) (view all logs) |
Global data: Temperate zone season(s): Early Summer, Mid Summer, Late Summer, Early Fall
last updated 09:10, 14 October 2007 (UTC) with 1 plants
# Bloom Clock/Keys/Central Pennsylvania/December
## December

* All Flowers blooming in December (category list)
# Bloom Clock/Keys/Central Pennsylvania/August/Yellow Flowers/DPL

This page is used to help create a graphical list.
* BCP/Torenia fournieri
* BCP/Solidago
* BCP/Rudbeckia fulgida
* BCP/Rudbeckia triloba
* BCP/Impatiens pallida
* BCP/Oxalis stricta
* BCP/Linaria vulgaris
* BCP/Taraxacum officinale
* BCP/Impatiens capensis
* BCP/Hemerocallis
* BCP/Oenothera
* BCP/Lotus corniculatus
* BCP/Solidago canadensis
# Bloom Clock/Keys/Central Pennsylvania/August/White Flowers/DPL

This page is used to help create a graphical list.
* BCP/Persicaria maculosa
* BCP/Cichorium intybus
* BCP/Torenia fournieri
* BCP/Tanacetum parthenium
* BCP/Aster divaricatus
* BCP/Echinacea purpurea
* BCP/Impatiens pallida
* BCP/Plantago major
* BCP/Erigeron annuus
* BCP/Saponaria officinalis
* BCP/Hosta
* BCP/Daucus carota
* BCP/Achillea millefolium
* BCP/Trifolium repens
* BCP/Hemerocallis
# English-Chinese/Writing

Writing is the act of recording a language on a visual medium using a set of symbols. Others must understand the symbol to read the text.
写作是使用一组符号在视觉媒介上记录语言的行为。 其他人必须懂得该符号才能阅读文本。
# English-Chinese/X-ray

X-radiation is a kind of electromagnetic radiation. X-rays are waves of X-radiation. X-rays have a shorter wavelength, and therefore more energy, than ultraviolet radiation. They have a much shorter wavelength than visible light (the light that we can see). Radiation with shorter wavelengths (more energy) than the X-ray is called gamma radiation (γ-rays). These are all parts of the electromagnetic spectrum.
X辐射 是 一种 电磁辐射。 X射线 是 X辐射的 波。 X射线 具有 比 紫外线辐射 更短的 波长，因此 具有 更多的 能量。它们的 波长 比 可见光（我们 可以 看到的 光）短得多。具有 比 X射线 更短 波长（更多 能量）的 辐射 被称为 gamma辐射（γ射线）。这些 都是 电磁波谱的 所有 部分。
# English-Chinese/Xylem

Xylem is a tissue in plants. Its cells have thick, hard walls. Xylem tissue dies soon after it is formed and is the wood in the middle of a tree. The dead cells are like pipes, hollow and rigid.
木质部 是 植物中的 组织。它的 细胞 有 厚而坚硬的 墙壁。木质部组织 在形成后 立即死亡，成为 树中的 木质。死细胞 像 管子 一样，空心 而且 坚硬。
# English-Chinese/You are younger than I am

You are younger than I am, but nearly as tall.
你比我年轻，但几乎一样高。
# English-Chinese/Wuhan University

Wuhan University is a university in Wuhan, China. It started teaching in 1893. The buildings and the cherry blossom in the university are very beautiful and well known. People think it is one of the most beautiful universities in China.
武汉大学 是 中国 武汉的 一所 大学。它 于 1893年 开始 教学。大学里的 建筑物 和 樱花 非常 漂亮，众所周知。人们 认为 它是 中国 最美丽的 大学 之一。
# English-Chinese/Yellow ginger

Yellow ginger is a flowering plant of the ginger family, its roots are used in cooking, and also the ingredient of curry.
黄姜是姜科的开花植物，它的根用于烹饪，也是咖喱的成分。
# English-Chinese/You can't see all of the moon

You can't see all of the moon.
你无法看到整个月球。
# English-Chinese/You cannot see the other side of the moon

You cannot see the other side of the moon.
你无法看到月球的另一面。
# English-Chinese/You put on airs when you act arrogantly

You put on airs when you act arrogantly.
The woman put on the airs in front of her friends.
当你傲慢时，你就装腔作势。
那个女人在她朋友面前摆架子。
# English-Chinese/You use about before a number or amount

You use about before a number or amount, to say that it may be a little more or a little less.
在一个数字或数量之前使用大约，说它可能稍微多一点或少一点。
# COVID-19/All-cause deaths/Iran

Weekly all-cause deaths in Iran, based on World Mortality Dataset data, world_mortality.csv, 3-week moving average:
Above, the last two weeks available from the source data were excluded to prevent the worst effect of registration delay.
All-cause death excess percentage in Iran, year by year, based on the same data as above:
Above, the minimum over previous last 3 years is taken as the baseline against which the excess is calculated, and the last year is dropped as incomplete.
Script oneliner to update the chart:
* plotWmd.py world_mortality.csv IRN 3 --dlti
* plotWmd.py world_mortality.csv IRN --ep 3
See also:
External links:
* World Mortality Dataset at akarlinsky, hithub.com
* W:COVID-19 pandemic in Iran, wikipedia.org
# COVID-19/All-cause deaths/Latvia

Weekly all-cause deaths in Latvia, based on mortality.org data, stmf.csv, 3-week moving average:
mortality.org indicates the data for the last weeks to be preliminary; above, the last two weeks available from mortality.org were excluded to prevent the worst effect of registration delay.
Weekly all-cause deaths in Latvia for 0-14 year olds, based on mortality.org data, stmf.csv, 7-week moving averag:
mortality.org indicates the data for the last weeks to be preliminary; above, the last two weeks available from mortality.org were excluded were excluded to prevent the worst effect of registration delay.
All-cause deaths in Latvia in weeks 1-16, year by year, based on mortality.org data, stmf.csv:
mortality.org indicates the data for the last weeks to be preliminary; above, the last two weeks available from mortality.org were excluded to prevent the worst effect of registration delay. The above is not adjusted by population size.
All-cause deaths in Latvia in weeks 40+ the year before and weeks 1-16 of the year, year by year, based on mortality.org data, stmf.csv:
mortality.org indicates the data for the last weeks to be preliminary; above, the last two weeks available from mortality.org were excluded to prevent the worst effect of registration delay. The above is not adjusted by population size.
All-cause death excess percentage in Latvia, year by year, based on mortality.org data, stmf.csv:
Above, the minimum over previous last 5 years is taken as the baseline against which the excess is calculated, and the last year is dropped as incomplete.
Script oneliners to update the charts:
* plotHmd.py stmf.csv LVA DTotal 3
* plotHmd.py stmf.csv LVA D0_14 7
* plotHmdPerYear.py stmf.csv LVA DTotal
* plotHmdPerSeason.py stmf.csv LVA DTotal
* plotHmdExcessDeathPercPerYear.py stmf.csv LVA DTotal 5
See also:
External links:
* mpidr.shinyapps.io/stmortality
* Comparisons of all-cause mortality between European countries and regions: January to June 2020, ons.gov.uk
* W:COVID-19 pandemic in Latvia, wikipedia.org
# COVID-19/All-cause deaths/Lithuania

Weekly all-cause deaths in Lithuania, based on mortality.org data, stmf.csv, 3-week moving average:
mortality.org indicates the data for the last weeks to be preliminary; above, the last two weeks available from mortality.org were excluded to prevent the worst effect of registration delay.
Weekly all-cause deaths in Lithuania for 0-14 year olds, based on mortality.org data, stmf.csv, 7-week moving average:
mortality.org indicates the data for the last weeks to be preliminary; above, the last two weeks available from mortality.org were excluded were excluded to prevent the worst effect of registration delay.
All-cause deaths in Lithuania in weeks 1-14, year by year, based on mortality.org data, stmf.csv:
mortality.org indicates the data for the last weeks to be preliminary; above, the last two weeks available from mortality.org were excluded to prevent the worst effect of registration delay. The above is not adjusted by population size.
All-cause deaths in Lithuania in weeks 40+ the year before and weeks 1-14 of the year, year by year, based on mortality.org data, stmf.csv:
mortality.org indicates the data for the last weeks to be preliminary; above, the last two weeks available from mortality.org were excluded to prevent the worst effect of registration delay. The above is not adjusted by population size.
All-cause death excess percentage in Lithuania, year by year, based on mortality.org data, stmf.csv:
Above, the minimum over previous last 5 years is taken as the baseline against which the excess is calculated, and the last year is dropped as incomplete.
Script oneliners to update the charts:
* plotHmd.py stmf.csv LTU DTotal 3
* plotHmd.py stmf.csv LTU D0_14 7
* plotHmdPerYear.py stmf.csv LTU DTotal
* plotHmdPerSeason.py stmf.csv LTU DTotal
* plotHmdExcessDeathPercPerYear.py stmf.csv LTU DTotal 5
See also:
External links:
* mpidr.shinyapps.io/stmortality
* Comparisons of all-cause mortality between European countries and regions: January to June 2020, ons.gov.uk
* W:COVID-19 pandemic in Lithuania, wikipedia.org
# COVID-19/All-cause deaths/Israel

Weekly all-cause deaths in Israel, based on mortality.org data, stmf.csv, 3-week moving average:
mortality.org indicates the data for the last weeks to be preliminary; above, the last two weeks available from mortality.org were excluded to prevent the worst effect of registration delay.
Weekly all-cause deaths in Israel for 0-14 year olds, based on mortality.org data, stmf.csv, 7-week moving average:
mortality.org indicates the data for the last weeks to be preliminary; above, the last two weeks available from mortality.org were excluded were excluded to prevent the worst effect of registration delay.
All-cause deaths in Israel in weeks 1-16, year by year, based on mortality.org data, stmf.csv:
mortality.org indicates the data for the last weeks to be preliminary; above, the last two weeks available from mortality.org were excluded to prevent the worst effect of registration delay. The above is not adjusted by population size.
All-cause deaths in Israel in weeks 40+ the year before and weeks 1-16 of the year, year by year, based on mortality.org data, stmf.csv::
mortality.org indicates the data for the last weeks to be preliminary; above, the last two weeks available from mortality.org were excluded to prevent the worst effect of registration delay. The above is not adjusted by population size.
All-cause death excess percentage in Israel, year by year, based on mortality.org data, stmf.csv:
Above, the minimum over previous last 5 years is taken as the baseline against which the excess is calculated, and the last year is dropped as incomplete.
Script oneliners to update the charts:
* plotHmd.py stmf.csv ISR DTotal 3 --svg
* plotHmd.py stmf.csv ISR D0_14 7 --svg
* plotHmdPerYear.py stmf.csv ISR DTotal
* plotHmdPerSeason.py stmf.csv ISR DTotal
* plotHmdExcessDeathPercPerYear.py stmf.csv ISR DTotal 5 --svg
See also:
External links:
* mpidr.shinyapps.io/stmortality
* Graphs and maps — EUROMOMO, euromomo.eu - mortality monitoring in Europe
* W:COVID-19 pandemic in Israel, wikipedia.org
# COVID-19/All-cause deaths/Kosovo

Monthly all-cause deaths in Kosovo, based on World Mortality Dataset data, world_mortality.csv:
All-cause death excess percentage in Kosovo, year by year, based on the same data as above:
Above, the minimum over previous last 3 years is taken as the baseline against which the excess is calculated, and the last year is dropped as incomplete.
Script oneliner to update the chart:
* plotWmd.py world_mortality.csv KOS
* plotWmd.py world_mortality.csv KOS --ep 3
See also:
External links:
* World Mortality Dataset at akarlinsky, hithub.com
* W:COVID-19 pandemic in Kosovo, wikipedia.org
# COVID-19/All-cause deaths/Japan

Weekly all-cause deaths in Japan, based on exdeaths-japan.org data, Observed.csv:
Script plotJapan.py:
Script oneliner to update the chart:
External links:
* Excess and Exiguous Deaths Dashboard in Japan, exdeaths-japan.org
* W:COVID-19 pandemic in Japan, wikipedia.org
# COVID-19/All-cause deaths/Luxembourg

Weekly all-cause deaths in Luxembourg, based on mortality.org data, stmf.csv, 7-week moving average:
mortality.org indicates the data for the last weeks to be preliminary; above, the last two weeks available from mortality.org were excluded to prevent the worst effect of registration delay.
Weekly all-cause deaths in Luxembourg for 0-14 year olds, based on mortality.org data, stmf.csv, 7-week moving average:
mortality.org indicates the data for the last weeks to be preliminary; above, the last two weeks available from mortality.org were excluded were excluded to prevent the worst effect of registration delay.
All-cause deaths in Luxembourg in weeks 1-11, year by year, based on mortality.org data, stmf.csv:
mortality.org indicates the data for the last weeks to be preliminary; above, the last two weeks available from mortality.org were excluded to prevent the worst effect of registration delay. The above is not adjusted by population size.
All-cause deaths in Luxembourg in weeks 40+ the year before and weeks 1-11 of the year, year by year, based on mortality.org data, stmf.csv:
mortality.org indicates the data for the last weeks to be preliminary; above, the last two weeks available from mortality.org were excluded to prevent the worst effect of registration delay. The above is not adjusted by population size.
All-cause death excess percentage in Luxembourg, year by year, based on mortality.org data, stmf.csv:
Above, the minimum over previous last 5 years is taken as the baseline against which the excess is calculated, and the last year is dropped as incomplete.
Script oneliners to update the charts:
* plotHmd.py stmf.csv LUX DTotal 7
* plotHmd.py stmf.csv LUX D0_14 7
* plotHmdPerYear.py stmf.csv LUX DTotal
* plotHmdPerSeason.py stmf.csv LUX DTotal
* plotHmdExcessDeathPercPerYear.py stmf.csv LUX DTotal 5
See also:
External links:
* mpidr.shinyapps.io/stmortality
* Graphs and maps — EUROMOMO, euromomo.eu - mortality monitoring in Europe
* Comparisons of all-cause mortality between European countries and regions: January to June 2020, ons.gov.uk
* W:COVID-19 pandemic in Luxembourg, wikipedia.org