OpenLLM-France/wikimedia huggingface dataset:
# Kirby franchise strategy guide/Enemies/Shotzo

The Shotzo is an undefeatable enemy in the Kirby series of games that takes on the guise of a small cannon. Some Shotzos can only shot in one direction, whilst others can rotate, although they do this very slowly. Kirby cannot inhale or harm these enemies, although they do an exceedingly good job of harming him. In Kirby 64: The Crystal Shards, Shotzos were split into two variants: those mounted on the ground and those mounted on walls.
# Kirby franchise strategy guide/Enemies/Sir Kibble

Sir Kibble is a recurring enemy in the Kirby games. It looks like a helmet with hands, feet, and a cutter boomerang, and attacks by throwing the boomerang at Kirby. If swallowed, it grants Kirby the Cutter power. With the cutter power Kirby can throw the boomerang at differing distances. He can also aim it up or down to reach enemies above or below. Another popular way to use the cutter ability is to throw it forward, wait for it to come back, then jump over it so that it hits an enemy behind Kirby. Kirby can also perform a melee combo, ending with his Final Cutter move, which later appeared as his up special in Super Smash Bros. Sir Kibble appeared on most episodes of Kirby: Right Back at Ya! where he was voiced by Scott McNeil.
# Lateral Thinking Puzzles/Sticky Leaves

Why did a little girl stick fallen leaves back onto the trees with glue?
# Latex/table

2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 30,525.18 36,700.49 43,431.45 50,576.03 57,940.02 65,281.16 72,318.62 78,747.92 84,260.47 88,566.38 91,400.50
5,822.85 6,304.86 6,826.76 7,391.87 8,003.75 8,666.28 9,383.66 10,160.42 11,001.48 11,912.16 12,898.22
797.15 863.14 934.58 1,011.95 1,095.71 1,186.41 1,284.62 1,390.96 1,506.10 1,630.77 1,765.77
238.66 286.94 339.57 395.43 453.00 510.40 565.42 615.69 658.79 692.45 714.61
-589.16 -708.35 -838.27 -976.16 -1,118.29 -1,259.99 -1,395.81 -1,519.91 -1,626.30 -1,709.41 -1,764.11
699.97 841.58 995.93 1,159.76 1,328.62 1,496.96 1,658.34 1,805.77 1,932.18 2,030.92 2,095.91
# Lateral Thinking Puzzles/Sticky Leaves/Solution

The girl has a fatal disease. She heard that she will be dead when all the leaves fell.
# Latin-American History
## Chapters

* Introduction
* Before European Contact
* Spanish Colonial Era

### Central America

* Independence
* The United Provinces of Central America
* Greater Republic of Central America
* 20th century

### Learning More about Latin America

* Countries
* Resources
* Organizations
* Courses

### Appendices

* Authors
# Lateral Thinking Puzzles/From There to Here/Solution

The letter 't'.
# Lateral Thinking Puzzles/Sticky Leaves/Clues

* The girl is trying to prevent something from happening.
* She is too young to understand the consequences, and thus her actions have no effect on the event.
* She overheard a conversation.
# Latin-American History/Greater Republic of Central America

The United Provinces of Central America was a short-lived Latin American experiment in republican democracy. It lasted from July 1823 to approximately 1840. It was intended to be a federal republic modeled after the USA. The coat of arms on the nation's flag from 1823–1824 referred to the federation as the Provincias Unidas del Centro de América ("United Provinces of Central America") but its 1824 constitution, coat of arms and flag called it the "Federal Republic of Central America" (República Federal de Centroamérica / Centro América). It is also sometimes referred to in English as the "United States of Central America".
The republic consisted of the states of Guatemala, El Salvador, Honduras, Nicaragua, and Costa Rica. In the 1830s an additional state was added, Los Altos, with its capital in Quetzaltenango, occupying parts of what are now the western highlands of Guatemala and the Mexican state of Chiapas. During the period of 1838–1840 the federation dissolved in civil war.
# Latin-American History/Independence

In 1821 a congress of Central American criollos declared their independence from Spain, effective on 15 September of that year. That date is still marked as the independence day by most Central American nations. The Spanish Captain General, Gabino Gaínza, sympathized with the rebels and it was decided that he should stay on as interim leader until a new government could be formed. Independence was short-lived, for the conservative leaders in Guatemala welcomed annexation by the Mexican Empire of Agustín de Iturbide on 5 January 1822. Central American liberals objected to this, but an army from Mexico under General Vicente Filisola occupied Guatemala City and quelled dissent. When Mexico became a republic the following year, it acknowledged Central America's right to determine its own destiny. On 1 July 1823, the congress of Central America declared absolute independence from Spain, Mexico, and any other foreign nation, and a Republican system of government was established.
# Introduction to Moral Reasoning
## Part I - Premises

* What is Moral Reasoning?
* Why Study Moral Reasoning?
* How to Study
* Traditions in Philosophy

## Part II - Early Moral Theory

* Socrates and Plato
* Epicurus and Lucretius
* Diogenes, Alexander and Aristotle
* Alexander the great; Conqueror king or Philosopher king
* Marcus Aurelius, Marcus Cornelius Fronto and Seneca
* Philosophy on the Silk Road

## Part III - Judeo-Christian Moral Theory

* Biblical Precedents
* Maimonides
* St. Augustine
* Thomas Aquinas
* C.S. Lewis

## Part IV - Secular Moral Theory

* Plato
* Aristotle
* David Hume
* Immanuel Kant
* Ludwig Feuerbach
* Friedrich Nietzsche

## Part V - Responses to Secularism

* Soren Kierkegaard
* Martin Buber
Authors
# Introduction to Mathematical Physics/Vectorial spaces
## Definition

Let $K$ be $R$ of $C$. An ensemble $E$ is a vectorial space if it has an algebric structure defined by to laws $+$ and $.$, such that every linear combination of two elements of $E$ is inside $E$. More precisely:
Definition:
An ensemble $E$ is a vectorial space if it has an algebric structure defined by to laws, a composition law noted $+$ and an action law noted $.$, those laws verifying:
$(E,+)$ is a commutative group.
$\forall (\alpha ,\beta )\in K\times K,\forall x\in E\alpha (\beta x)=(\alpha \beta )x$ $\forall x\in E,1.x=x$ where $1$ is the unity of $.$ law.
$\forall (\alpha ,\beta )\in K\times K,\forall (x,y)\in E\times E(\alpha +\beta )x=\alpha x+\beta x{\mbox{ and }}\alpha (x+y)=\alpha x+\alpha y$

## Functional space

Definition:
A functional space is a set ${\mathcal {F}}$ of functions that have a vectorial space structure.
The set of the function continuous on an interval is a functional space. The set of the positive functions is not a fucntional space.
Definition:
A functional $T$ of ${\mathcal {F}}$ is a mapping from ${\mathcal {F}}$ into $C$.
$<T|\phi >$ designs the number associated to function $\phi$ by functional $T$.
Definition:
A functional $T$ is linear if for any functions $\phi _{1}$ and $\phi _{2}$ of ${\mathcal {F}}$ and any complex numbers $\lambda _{1}$ and $\lambda _{2}$ :
$<T|\lambda _{1}\phi _{1}+\lambda _{2}\phi _{2}>=\lambda _{1}<T|\phi _{1}>+\lambda _{2}<T|\phi _{2}>$
Definition:
Space ${\mathcal {D}}$ is the vectorial space of functions indefinitely derivable with a bounded support.
# Introduction to Mathematical Physics/Statistical physics/Exercise

Exercice:
Consider a chain of $N$ nonlinear coupled oscillators. Assuming known the (deterministic) equation governing the dynamics of the particles, is that possible to define a system's temperature? Can one be sure that a system of coupled nonlinear oscillators will evolve to a state well described by statistical physics? Do a bibliographic research on this subject, in particular on Fermi--Ulam--Pasta model.
# Introduction to Mathematical Physics/Statistical physics/Some numerical computation in statistical physics

In statistical physics, mean quantities evaluation can be done using by Monte--Carlo methods. in this section, a simple example is presented.
Example:
Let us consider a Ising model. In this spin system, energy can be written:
$E=-J\sum _{i}\sum _{k}S_{i}S_{k}-B\sum S_{k}$
The following Metropolis algorithm [ma:compu:Stauffer93], [ma:compu:Koonin90] is used \index{Metropolis} to simulate probabilities $exp(-E/k_{B}T)$:
* select spin $S_{k}$ to consider.
* evaluate variation of energy $\Delta E=E_{new}-E_{old}$ associated to a possible split of spin $S_{k}$.
* compare a random number $z$ between zero and one with probability $p=exp(-\Delta E/k_{B}T)$.
* split spin number $k$ (that is do $S_{k}=-S_{k}$) i=f and only if $z<p$.
* use the obtained configuration to compute mean quantities.
# Introduction to Moral Reasoning/C.S. Lewis

C. S. Lewis Books with some relativity to morality:

## Non-Fiction

The Abolition of Man
Mere Christianity
The Problem of Pain
Miracles

## Fiction

The Screwtape Letters
The Great Divorce

## Essays

(All Essays can be found in the book Essay Collection and Other Short Pieces not currently published in the United States. Check Amazon.co.uk for availability.)
Why I Am Not a Pacifist (see book The Weight of Glory)
Two Ways With the Self
Evil and God
Good Work and Good Works
# Introduction to Moral Reasoning/Authors

This module is inspired by an excellent university course concerning moral reasoning. -Lefty
# Introduction to Mathematical Physics/Statistical physics/Introduction

Statistical physics goal is to describe matter's properties at macroscopic scale from a microscopic description (atoms, molecules, etc\dots). The great number of particles constituting a macroscopic system justifies a probabilistic description of the system. Quantum mechanics (see chapter ---chapmq---) allows to describe part of systems made by a large number of particles: Schr\"odinger equation provides the various accessible states as well as their associated energy. Statistical physics allows to evaluate occupation probabilities $P_{l}$ of a quantum state $l$. It introduces fundamental concepts as temperature, heat\dots
Obtaining of probability $P_{l}$ is done using the statistical physics principle that states that physical systems tend to go to a state of ``maximum disorder [ph:physt:Reif64], [ph:physt:Diu89]. A disorder measure is given by the statistical entropy\index{entropy}
$S=-k_{B}\sum P_{l}\ln P_{l}$
The statistical physics principle can be enounced as:
Postulate:
At macroscopic equilibrium, statistical distribution of microscopic states is, among all distributions that verify external constraints imposed to the system, the distribution that makes statistical entropy maximum.
Remark:
This problem corresponds to the classical minimization (or maximization) problem presented at section chapmetvar) which can be treated by Lagrange multiplier method.
# MeGUI/Configuration

All Configuration panels
* Video Encoder Configuration
** x264
** Xvid
* Audio Encoder Configuration
* Tools
# MeGUI/Configuration/Video Encoder Configuration

There are four different video configuration dialogues, one for each video codec. You can access them by clicking the Config button next to the video codec selection on the main window.

## Common Settings

* Mode: The mode is used to determine the type of encode the codec will perform:
   * CBR/ABR: CBR (Constant BitRate) and ABR (Average BitRate) are both single pass modes. They will run through the video once and encode from that. CBR will use exactly the bitrate specified per second, while ABR will attempt to intelligently vary it in order to get the best visual quality.
   * Automated 2/3pass: Using the automated pass methods will automatically set up the required multiple passes in MeGUI. The same options will be used for every pass (apart from the first if Turbo is checked).
   * 1st/2nd/3rd pass: If you want more control over your pass settings, you can set every pass up individually. You will have to set up every pass you want this way, MeGUI will not detect or setup missing passes.
   * Constant Quantizer/Quality: Encode the file in one pass to a specified quantizer/quality, resulting in a known quality and unknown filesize (as compared to other modes which have known filesize & unknown quality). For the difference between constant quality and constant quantizer (only applies to x264), read this.
* Bitrate: The bitrate specifies the amount of data per second that the video codec is allowed to use. In VBR mode, it represents the overall average for the length of the movie.
* Logfile: When encoding a first pass, the video encoder will run through the movie and write statistics about it to a log file for use in subsequent passes. With this option, you can specify the location of the pass if you want to. The default location is in the output directory. For LMP4/XviD this option is on the last page, for x264/Snow it is on the first.
* Keyframe Interval: The maximum interval between keyframes
* Zones: Used to apply a variety of compression to a single file. To use, go to the "Zones" tab in the configuration window. Click preview. Use the slider and the Zone Start/End buttons to select your zone. Click Set. Close the window and return to the "Zones" tab. Choose between a Quantizer and Weight mode, and set your Quantizer or Bitrate respectively. Click "Update".
* The options at the bottom of every page are used to control profiles. The drop-down box is used to load profiles, New is used to save the current options to a new profile, and Delete is used to delete the current profile.

## See also

* x264 Configuration.
* XviD Configuration.
* Snow Configuration.
* LMP4 Configuration.
# MeGUI/Contributors

Many people have contributed to MeGUI, and they all deserve thanks.

## Developers

* Doom9
* Sharktooth (sharx1976)
* Berrinam
* Dimzon
* Charleski
* Kurtnoise

## Webspace

* checkers, who writes this wiki and provides space for AutoUpdate
* bob0r, who runs x264.nl, distributing both x264 and MeGUI
* Richard Berg, who provides space for AutoUpdate, and has contributed several patches

## Other code contributors

* Mutant_Fruit: as well as several patches, also wrote the AutoUpdate
* foxyshadis
* moadib2k
* IMOON
* chiklit8963
# Introduction to Philosophical Logic
## Contents

* Prolegomena
* Consistency and Inconsistency
* Arguments
* Formalisation/Propositional Calculus
** Complex sentences and sentence functors
** Propositional Calculus
* Formalisation/Predicate Calculus
** Predicate Calculus
** Relations
* Other Logics
* Glossary
# JLPT Guide/JLPT N4 Vocabulary/Row Na

JLPT N4 Vocabulary
あ行 – か行 – さ行 – た行 – な行 – は行 – ま行 – や行 – ら行 – わ行
Parts of speech (品詞)  : :
| (名) noun (代) pronoun (動I) Type I verb (動II) Type II verb | (動III) Type III verb (形) adjective (形動) adjectival noun (副) adverb | (連体) attribute (接) conjunction (感) interjection (助動) auxiliary | (助) particle (頭) prefix (尾) suffix (連) compound |

## な段

| # | Kana | Kanji | Word type | Meaning |
| 448 | なおす | 直す | | to cure, to repair |
| 449 | なおる | 直る | | to be cured, to be repaired |
| 450 | なおる | 治る | | to be cured, to be repaired |
| 451 | なかなか | 中々 | | considerably |
| 452 | ~ながら | ~乍ら | | while, during |
| 453 | なく | 泣く | | to cry |
| 454 | なくす | 無くす | | to lose (something) |
| 455 | なくなる | 無くなる | | to be lost, to be missing |
| 456 | なくなる | 亡くなる | | to die |
| 457 | なげる | 投げる | | to throw, to give up |
| 458 | なさる | 為さる | | to do |
| 459 | なぜ | | | why, how |
| 460 | なる | 鳴る | | to sound, to ring |
| 461 | なるべく | 成るべく | (副) | as much as possible |
| 462 | なるほど | なる程 | | I see |
| 463 | なれる | 慣れる | | to get used to |

## に段

| # | Kana | Kanji | Word type | Meaning |
| 464 | にがい | 苦い | | bitter |
| 465 | ~にくい | | | difficult to (do) |
| 466 | にげる | 逃げる | | to escape, to run away |
| 467 | にっき | 日記 | (名) | diary, journal |
| 468 | にゅういん | 入院 | (名) | hospitalization |
| 469 | にゅうがく | 入学 | (名) | school admission |
| 470 | にる | 似る | | to resemble |
| 471 | にんぎょう | 人形 | (名) | doll |

## ぬ段

| # | Kana | Kanji | Meaning |
| 472 | ぬすむ | 盗む | to steal, to rob |
| 473 | ぬる | 塗る | to paint, to spread |
| 474 | ぬれる | 濡れる | to get wet |

## ね段

| # | Kana | Kanji | Word type | Meaning |
| 475 | ねだん | 値段 | (名) | price, cost |
| 476 | ねつ | 熱 | (名) | fever |
| 477 | ねっしん | 熱心 | | passionately |
| 478 | ねむい | 眠い | | sleepy |
| 479 | ねむる | 眠る | | to sleep |

## の段

| # | Kana | Kanji | Word type | Meaning |
| 480 | のこる | 残る | | to remain |
| 481 | のど | 喉 | (名) | throat |
| 482 | のりかえる | 乗り換える | | to transfer (train), to change (bus) |
| 483 | のりもの | 乗り物 | (名) | vehicle, transport |
# JLPT Guide/JLPT N4 Vocabulary/Row Ma

JLPT N4 Vocabulary
あ行 – か行 – さ行 – た行 – な行 – は行 – ま行 – や行 – ら行 – わ行
Parts of speech (品詞)  : :
| (名) noun (代) pronoun (動I) Type I verb (動II) Type II verb | (動III) Type III verb (形) adjective (形動) adjectival noun (副) adverb | (連体) attribute (接) conjunction (感) interjection (助動) auxiliary | (助) particle (頭) prefix (尾) suffix (連) compound |

## ま段

| # | Kana | Kanji | Word type | Meaning |
| 546 | まいる | 参る | | to go, to come |
| 547 | まける | 負ける | | to lose, to be defeated |
| 548 | まじめ | 真面目 | | serious, honest |
| 549 | まず | 先ず | (副) | firstly, first of all |
| 550 | または | 又は | (接) | or, otherwise |
| 551 | まちがえる | 間違える | | to make mistake |
| 552 | まにあう | 間に合う | | be on time for |
| 553 | 〜まま | | | |
| 554 | まわり | 周り | (名) | circumference |
| 555 | まわる | 回る | | to turn, to revolve |
| 556 | まんが | 漫画 | (名) | manga |
| 557 | まんなか | 真ん中 | (名) | middle, center point |

## み段

| # | Kana | Kanji | Word type | Meaning |
| 558 | みえる | 見える | | to be seen |
| 559 | みずうみ | 湖 | (名) | lake |
| 560 | みそ (みそ汁) | 味噌 | (名) | miso (soup) |
| 561 | みつかる | 見つかる | | to be found, to be discovered |
| 562 | みつける | 見つける | | to find, to discover |
| 563 | みどり | 緑 | | green, greenery |
| 564 | みな | 皆 | (代) | everyone |
| 565 | みなと | 港 | (名) | port, harbor |

## む段

| # | Kana | Kanji | Word type | Meaning |
| 566 | むかえる | 迎える | | to go out to meet |
| 567 | むかし | 昔 | | in the past, a long time ago |
| 568 | むし | 虫 | (名) | bug |
| 569 | むすこ | 息子 | (名) | son |
| 570 | むすめ | 娘 | (名) | daughter |
| 571 | むら | 村 | (名) | village |
| 572 | むり | 無理 | | impossible |

## め段

| # | Kana | Kanji | Word type | Meaning |
| 573 | 〜め | 〜目 | | part counter (e.g. 一番目 = first) |
| 574 | めしあがる | 召し上がる | | to eat (honorific) |
| 575 | めずらしい | 珍しい | (形) | rare |

## も段

| # | Kana | Kanji | Word type | Meaning |
| 576 | もうしあげる | 申し上げる | | to tell, to express |
| 577 | もうす | 申す | | to say |
| 578 | もうすぐ | もう直ぐ | (副) | soon, shortly |
| 579 | もし | 若し | (副) | if, in case |
| 580 | もどる | 戻る | | to return, to go back |
| 581 | もめん | 木綿 | (名) | cotton |
| 582 | もらう | 貰う | | to receive, to accept |
# JLPT Guide/JLPT N4 Vocabulary/Row Ra

JLPT N4 Vocabulary
あ行 – か行 – さ行 – た行 – な行 – は行 – ま行 – や行 – ら行 – わ行
Parts of speech (品詞)  : :
| (名) noun (代) pronoun (動I) Type I verb (動II) Type II verb | (動III) Type III verb (形) adjective (形動) adjectival noun (副) adverb | (連体) attribute (接) conjunction (感) interjection (助動) auxiliary | (助) particle (頭) prefix (尾) suffix (連) compound |

## り段

| # | Kana | Kanji | Word type | Meaning |
| 616 | りゆう | 理由 | | reason, cause |
| 617 | りよう | 利用 | (名) | use, usage |
| 618 | りょうほう | 両方 | | both |
| 619 | りょかん | 旅館 | (名) | traditional Japanese inn |

## る段

| # | Kana | Kanji | Word type | Meaning |
| 620 | るす | 留守 | | absence, being away |

## れ段

| # | Kana | Kanji | Word type | Meaning |
| 621 | れきし | 歴史 | (名) | history |
| 622 | れんらく | 連絡 | | contact |
# JLPT Guide/JLPT N4 Vocabulary/Row Wa

JLPT N4 Vocabulary
あ行 – か行 – さ行 – た行 – な行 – は行 – ま行 – や行 – ら行 – わ行
Parts of speech (品詞)  : :
| (名) noun (代) pronoun (動I) Type I verb (動II) Type II verb | (動III) Type III verb (形) adjective (形動) adjectival noun (副) adverb | (連体) attribute (接) conjunction (感) interjection (助動) auxiliary | (助) particle (頭) prefix (尾) suffix (連) compound |

## わ段

| # | Kana | Kanji | Word type | Meaning |
| 623 | わかす | 【沸かす】 | | to boil |
| 624 | わかれる | 【別れる】 | | to part, to separate |
| 625 | わく | 【沸く】 | | to boil, to get excited at |
| 626 | わけ | 【訳】 | (名) | conclusion, reason |
| 627 | わすれもの | 【忘れ物】 | (名) | something forgotten |
| 628 | わらう | 【笑う】 | | to laugh |
| 629 | わりあい | 【割合】 | (名) | rate, ratio |
| 630 | われる | 【割れる】 | | to break, to split |
# JLPT Guide/JLPT N4 Vocabulary/Row Ya

JLPT N4 Vocabulary
あ行 – か行 – さ行 – た行 – な行 – は行 – ま行 – や行 – ら行 – わ行
Parts of speech (品詞)  : :
| (名) noun (代) pronoun (動I) Type I verb (動II) Type II verb | (動III) Type III verb (形) adjective (形動) adjectival noun (副) adverb | (連体) attribute (接) conjunction (感) interjection (助動) auxiliary | (助) particle (頭) prefix (尾) suffix (連) compound |

## や段

| # | Kana | Kanji | Meaning |
| 583 | やく | 焼く | to burn, to grill |
| 584 | やくにたつ | 役に立つ | to be of use |
| 585 | やくそく | 約束 | promise |
| 586 | やける | 焼ける | to be burned |
| 587 | やさしい | 優しい | kind, easy |
| 588 | ~やすい | 易い | easy to〜 |
| 589 | やせる | 痩せる | to become thinner |
| 590 | やっと | | finally |
| 591 | やはり | | too, either; as expected |
| 592 | やっぱり | 矢っ張り | as expected |
| 593 | やむ（雨／風がやむ） | 止む | (rain etc.) to stop |
| 594 | やめる （たばこをやめる） | 止める | to stop |
| 595 | やる （”あげる”の意味） | 遣る | to give |
| 596 | やわらかい | 柔らかい | soft |

## ゆ段

| # | Kana | Kanji | Word type | Meaning |
| 597 | ゆ | 湯 | (名) | steam |
| 598 | ゆうはん | 夕飯 | | dinner |
| 599 | ゆしゅつ | 輸出 | (名) | exportation |
| 600 | ゆび | 指 | (名) | finger |
| 601 | ゆびわ | 指輪 | (名) | ring |
| 602 | ゆめ | 夢 | (名) | dream |
| 603 | ゆれる | 揺れる | | to shake |

## よ段

| # | Kana | Kanji | Meaning |
| 604 | よう | 用 | thing, work |
| 605 | ようい | 用意 | preparation |
| 606 | ようじ | 用事 | things to do |
| 607 | よごれる | 汚れる | to get dirty |
| 608 | よしゅう | 予習 | preparation |
| 609 | よてい | 予定 | plan |
| 610 | よやく | 予約 | booking |
| 611 | よる | 寄る | to approach |
| 612 | ~によると | | according to |
| 613 | よろこぶ | 喜ぶ | to be glad |
| 614 | よろしい | | all right, ok |
| 615 | よわい | 弱い | weak |
# JLPT Guide/JLPT N5 Grammar/と

The Particle "To"text
Complete Listing
It connects only nouns and pronouns, never phrases and clauses. It translates into "and".
靴と帽子を買った｡ --- Kutsu to boushi o katta.--- I bought shoes and a hat.
英語と日本語を話します｡--- Eigo to nihongo o hanashimasu.--- I speak English and Japanese.
It indicates a comparison or contrast between the two nouns.
猫と犬とどちらが好きですか｡---Neko to inu to dochira ga suki desu ka.--- Which do you like better, cats or dogs?
It translates into "together, with".
友達と映画に行った｡---Tomodachi to eiga ni itta.--- I went to a movie with my friend.
由紀は来月一朗と結婚します｡---Yuki wa raigetsu Ichiro to kekkon shimasu.--- Yuki is going to marry Ichiro next month.
It is commonly used in the phrase "~ to naru （～となる）", and indicates that something reaches a goal or new state.
ついにオリンピックの開催の日となった｡---Tsuini orinpikku no kaisai no hi to natta.--- At last the opening day of the Olympics has come.
募金は全部で百万円となった｡---Bokin wa zenbu de hyakuman-en to natta.--- The total amount of donations reached one million yen.
It is used before such verbs as "~ iu（～言う）", "~ omou（～思う）", "~ kiku （～聞く）", etc to introduce a clause or a phrase. It is normally preceded by a plain form of a verb.
彼は明日来るといった｡---Kare wa asu kuru to itta.--- He said that he will come tomorrow.
来年日本に行こうと思っている｡---Rainen nihon ni ikou to omotteiru.--- I am thinking of going to Japan next year.
It is placed after a verb or an adjective to form a conditional. It translates into "as soon as," "when," "if," etc. A plain form is usually used before the particle "to".
仕事が終わるとすぐうちに帰った｡---Shigoto ga owaru to sugu uchi ni kaetta.--- I went home as soon as work was over.
あの店に行くとおいしいすしが食べられる｡---Ano mise ni iku to oishii sushi ga taberareru.--- If you go to that restaurant, you can have great sushi.
It is used after onomatopoeic adverbs.
星がきらきらと輝いている｡---Hoshi ga kira kira to kagayaiteiru.--- The stars are twinkling.
子供立ちはバタバタと走り回った｡---Kodomotachi wa bata bata to hashirimawatta.--- The children ran around making lots of noise.