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tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:40000
- loss:TripletLoss
base_model: Alibaba-NLP/gte-base-en-v1.5
widget:
- source_sentence: The family’s?’ The boy looked sceptically at him. ‘The one in
front,’ he said, ‘has a bumper sticker about Jews not giving up any of Israel.
You called him a Jew.’ ‘And so he is,’ Mengele said. ‘At least he looks like
one.’ He smiled. ‘This is hardly the time to talk about what words I used. Go
get the water, please, and I’ll call the police.’ The boy cleared his throat.
‘Would you sit down again?’ he said. ‘I’ll call them.’ ‘Bobby dear—’ ‘Pickles,’
the boy said; the Dobermanns rushed snarling at Mengele. He backed down onto the
settee, forearms crossed before his face. ‘Ketchup!’ he cried.
sentences:
- 'While the raw data of the research is not bad, the interpretation is rendered
moot. See Barbara Schneider and David Stevenson, The Ambitious Generation: America''s
Teenagers Motivated but Directionless (New Haven, Conn.: Yale University Press,
1999). 29Several book have been written in this vein. While the two in the main
text are the most prominent, the following offer valuable insight and perspective
as well: Adrian Nicole LeBlanc, Random Family: Love, Drugs, Trouble and Coming
ofAge in the Bronx (New York, Scribner, 2003); Joanna Lipper, Growing Up Fast
(New York: Picador, 2003); Neil Postman, The Disappearance of Childhood (New York:
Vintage Books, 1994). 30Elinor Burkett, Another Planet.- A Year in the Life of
a Suburban High School (New York: HarperCollins, 2001). 31Patricia Hersch, A Tribe
Apart.: AJourney into the Heart ofAmerican Adolescence (New York: Ballantine,
1999), p. viii. The strength of this book is its in-depth walk with adolescents.
Its weakness is in being a very narrow scope with limited application. Still,
this qualitative work offers more depth than surveys.'
- This wasn’t his way. Normally, he was in, out and done. One day, one interrogation,
one paycheck, and then shipped off to the next location. It was the way he liked
it. Wham, bam, thank you, ma’am. As it was, they had already spent more than their
fair share of time together. He’d hate to think the effect she’d have on him in
a week if he did decide to take her to Montana. “Why don’t you try to call him
again?” he asked, feeling sheepish in feigning such deplorable ignorance. She
couldn’t find out what he knew or his role in this. She would hate him forever
if she did.
- He ran toward second. Felix chased after the ball. “Go! Go!” Ms. Benson called
again. Eric ran from second to third. Felix grabbed the ball. Eric touched third
base and ran toward home. Felix threw the ball to Sarah who was standing in front
of home plate. The ball reached Sarah before Eric did.
- source_sentence: It is less likely that he encountered it in the course of his more
general reading. It is not easy to establish to what extent the word was in use
at this time. Although Diderot made reference to it in his famous encyclopaedia,
it did not appear in the French dictionary until 1835, despite the fact that it
was a Frenchman who coined it. The Encyclopaedia Britannica of 1842 does not include
the word, which first appears in the eighth edition (1855). Nor does it appear
in the contemporary German 18 D. McNeill dictionary, although this may be attributable
to the reluctance of the brothers Grimm to include words of manifestly foreign
origin. In sum, the evidence is inconclusive, but suggests that Marx did indeed
come across the term only months, or weeks, before it appeared in Herr Hermes’
article. Why, then, to turn to our second and more important question, did the
term appeal so strongly to Marx? To answer this, let us consider in more detail
the context of his own article on the debates on the theft of wood. It is evident
from the tone as well as the content that Marx is outraged.
sentences:
- “Want a sandwich, Spence?” “I would love one.” “I’ll help,” I said, trying to
get up. “No, I will,” Andrew said, shuffling me off him and standing up. “You’ll
help?” I asked. “Cooking?” He turned back to face me. “Making sandwiches isn’t
cooking, smartass.” Emilio laughed, which made me look at him. “Not busy today?” “Got
a client at two. Thought I’d come up and see how you were getting on. Andrew said
you weren’t in real good shape last night.” I sighed. “Yeah. It wasn’t good.
- Why are these habits so destructive? 42. How does verse 21 explain Israel’s
lapse into idolatry? What application to your life can you make from this
episode? 43. What measures did the Lord take to discipline His rebellious people?
What measures might He take today to discipline rebellious Christians? How
can a believer avoid such discipline? Chapter Two Book V (Psalms 107—150) Psalm
107 The emphasis in 105 is on Israel’s exodus from Egypt and in 106 on God’s
longsuffering care of His people. This psalm focuses on the Lord’s redemption
of the nation from captivity in Babylon (vv.
- ‘Well, I’m sorry if our standards don’t match up to those of Highcliffe Hall,’
Felicity spoke up, looking coldly at the new girl. ‘But I, for one, think it’s
a very nice room!’ ‘Hear, hear!’ chorused the others. And indeed it was a very
nice dormitory. Despite Amy’s scornful words, there was plenty of room for all
the girls. Each one had a little cabinet beside her bed, in which she could keep
all her personal belongings, as well as a small wardrobe. The beds had pretty
green, floral patterned bedspreads, which matched the curtains at the big window,
from where there was a splendid view of the beautiful gardens. One of the beds
already had a pair of slippers placed neatly beside it, and there was a book on
top of the little cabinet. The girls guessed that they belonged to Veronica, and
wondered where she was. ‘How I hate unpacking,’ sighed Nora, opening her night
case. ‘Thank goodness our trunks aren’t brought up until tomorrow, because I simply
couldn’t face having to put everything away tidily on my first day back.’ A frown
crossed Amy’s haughty little face as she said, ‘Don’t tell me that we actually
have to unpack our trunks ourselves?
- source_sentence: '[] Bug-Out Gear for Travelers By Tony Nester Published
by Diamond Creek Press, Flagstaff, AZ Copyright October 2013 Diamondcreekpress.com Bug-Out
Gear for Travelers Warning This information is intended for academic purposes
only. The author, Diamond Creek Press, and Ancient Pathways Survival School, LLC
assume no liability for any laws broken by the reader or for any injury, damages,
or loss for the use or misuse of the information contained in this eBook. The
material herein should not be a substitute for professional advice for training.
The reader is responsible for researching and complying with TSA regulations and
federal and state laws regarding carry-on items, checked baggage and item restrictions.
All rights reserved. No part of this book may be reproduced or used in any manner
without written consent except for use in reviews. Copyright October 2013, diamondcreekpress.com Special
thanks to the following travel experts who contributed to this book: Bill Downey,
Claus Andersen, Mike Masek, Terry Schmidt and Rob Anderson. Muchas gracias mis
amigos! Table of Contents Three Places Where Bug-Out Gear Can Help a Traveler Pre-Trip
Emergency Planning Tips Clothing and Accouterments A Story from the Field A
Carry-On Bug-Out Bag Detailed Descriptions of Specific BOB Items First-Aid Kit
Supplemental Items for Extended or International Trips A Story from the Field Additional
Gear to Purchase after Arrival Preparedness Gear to Have in Your Rental Vehicle Portable
Power Units for Recharging Smartphones & Electronic Devices Security Measures
for Stowing Gear in a Rental Car or Hotel Room Travel, Prescription and Immunization
Documents Fit for Survival? Additional Resources and Reading Preface I travel
a great deal in my work as a fulltime survival instructor.'
sentences:
- “Dr. Kendall, I was telling these gentlemen about my aunt’s recent kidney transplant.” Mia
turned her full attention back to the ambassador, grateful his determination to
impress her with his medical interest might inadvertently provide her with another
piece of information. “In the States?” “No. Here in Dar. At Kaboni Private.” “Your
aunt is an expatriate?” He laughed and snagged another glass of champagne from
a waiter. “Oh my, no. Aunt Lilly’s as southern as fried chicken. She’s from Atlanta.” “Then
why…” She caught herself, allowing her mind a moment to frantically sift through
the questions pelting her thoughts. She could think of only two reasons why Americans
would risk below-par treatment in a third-world country…fear and money. Fear they
couldn’t outlast the UNOS wait-list time, and money if they were unable to pay
for the expensive procedure if, by chance, they were lucky enough to beat the
odds of getting an organ in America.
- “Oh I just want a bite, just a bite.” Then the dessert arrives and they turn into
a vacuum. Apparently it was a bite from a shovel. “Yeah, I have a bit of a sweet
tooth.” No, you are a pathetic sugar fiend. I love the phrase “I have a sweet
tooth.” I always want to say, “You’re ordering it for your tooth? That’s interesting,
because it’s going straight to your butt. I think your butt owes your tooth an
explanation.” I guess we all have our own way of rationalizing. In defense of
the friend with the sweet tooth, no one has ever really needed dessert. Who was
the first guy to ask for dessert? “That was a good meal. I’m full.
- I’d be a fool not to profit from it. What do you say?” There was only one thing
Audrey could do. She stood up, unzipped her army coat and shrugged it off. “Agree,”
she said, and handed her coat to the president. Chapter Nine A strange feeling
came over Audrey as she signed the contract, as if something cold and shivery
settled over her skin. Whatever the president’s magic was doing to seal the contract,
Audrey figured there was no going back now. She didn’t want to. As soon as the
feeling faded, the president jumped into action. She left the four of them sitting
in the lounge area of her office and started making phone calls, organizing meetings
and appointments. The rest of Supernova avoided Audrey’s eyes.
- source_sentence: Looking into her eyes had been like bathing in a warm lake. Light
and warmth had followed Helena everywhere she went. She lit any space she occupied,
most of all Benedict’s heart. The woman in the painting did none of it. Nor did
she resemble his late wife, as he had requested. And that, truly, was the problem.
He had asked Biasi to paint a portrait that resembled Helena. He’d let him study
the three portraits Benedict possessed of his late wife, and had described her
in great detail to the man. He’d been quite clear. He had not wanted another painting
of a beautiful woman who resembled Helena.
sentences:
- He skidded to a halt. Did it show? He brought his hand to his nose and sniffed,
and his stomach turned. Vincent’s smell was all over him. Their angry words echoed
in his ears. Every time he tried to reconcile what had happened at the bakery
it got all confused in his head. No way could he have a relationship with a man.
Two bullheaded males trying to make it work was an insane idea. And when did he
go from fucking to having a relationship? Bottom line, Vincent had blatantly lied
to him.
- Nève liked her already. “Disrobe behind that screen down to your undergarments
and step up on this box, if you please.” Nève did as she was bid and then dropped
her jaw in shock as Lady Marsden approached armed with a tape measure, a dress
draped over one arm, and a full pincushion. “Wait a moment, what are you doing?” “Taking
your measurements and fitting you,” she replied. “But you’re a lady.” One dark
brow arched high. “Also a modiste. Is it so incredible to you that a woman of
my station can be both wellborn and clever with a needle?” Nève closed her mouth,
reminded of her own situation. “Well, no, but one would expect needlepoint rather
than dressmaking.” “Needlepoint.” Lady Marsden gave an eloquent sniff as she
proceeded to efficiently measure Nève’s chemise-clad shape from head to toe. “It’s
a rather exceptional kind of torture, I assure you. I much prefer design. These
dresses, for example”—she paused and pointed to the arrangement of heavily embroidered
silks that the other women held—“are my own creations.
- It must have something to do with this.” She taps her earpiece on the visual.
“Amazing.” “You have to help me!” “I’m not a memorologist,” Carol snaps, sounding
exasperated. I flinch at her tone, and she must take pity on me because she says,
“I’ll make some calls. See what I can do.” “Thank you.” “You’re supposed to
be back at DigImagine tomorrow.” Another day alone in the house with Cherie?
Before it sounded like heaven, but now. “I’ll come today if I can. But if she’s
still in my brain . . .” “Will she follow you out of the house?” Into the sunlight?
“I don’t know.” “Try that.
- source_sentence: Tulipson!’ I called out to the Second, who had not been able to
get a word in edgeways, ‘I don’t know what the devil’s the matter with the First
Mate; but he’ll not find it pay to talk to a crowd like ours, in that sort of
fashion, or there’ll be ructions aboard.’ “ ‘Come! come! Jessop! This won’t do!
I can’t have you talking like that about the Mate!’ he said, sharply. ‘Let me
know what’s to-do, and then go forrard again, the lot of you.’ “ ‘We’d have told
you at first, Sir,’ I said, ‘only the Mate wouldn’t give any of us a chance to
speak. There’s been an awful accident, Sir. Something’s fallen from aloft, right
onto Jock—’ “I stopped suddenly; for there was a loud crying aloft. “ ‘Help!
help!
sentences:
- Contents Title Page Dedication Acknowledgments Chapter 1 Chapter 2 Chapter
3 Chapter 4 Chapter 5 Chapter 6 Chapter 7 Chapter 8 Chapter 9 Chapter 10 Chapter
11 Chapter 12 Chapter 13 Chapter 14 Chapter 15 Chapter 16 Chapter 17 Chapter
18 Chapter 19 Chapter 20 Chapter 21 Epilogue Back ad Also by Christina Brooke Praise
for Christina Brooke About the Author Copyright Chapter One Hertfordshire,
England, 1816 Lady Cecily Westruther was not often at a loss for words. In
fact, it was said by her family that she had far too many of them at her disposal
and was all too ready to use them at every opportunity. But the sheer audacity
of this request shocked the speech right out of her. Lavinia pouted and her china
blue eyes darted sparks. “You are so disobliging, cousin! I ought to have known
how it would be.” Lavinia, Countess of Davenport, was a pretty, voluptuous blonde
with a gaming habit and a penchant for dangerous men. Dangerous men who weren’t
her husband, that was. Cecily exchanged an exasperated look with the small pug
dog who sat drooling into a pink satin cushion on top of an ornate chaise longue.
The furniture in Lavinia’s boudoir was gilded and tasseled and braided to within
an inch of its life. Lord, but the woman had terrible taste.
- Dacă nu mă înşel, e marele caic care ne-a depăşit azi- dimineaţa. Dumnezeu ştie
cum, dar cred că au fost preveniţi şi vor fi al naibii de bănuitori. Nu va fi
o joacă şi nu ne vor cerceta cu mănuşi. Vor fi înarmaţi pînă-n dinţi şi vor căuta
scandal. Nu va fi vorba de jumătăţi de măsură. Să fim lămuriţi. Sau se vor scufunda
ei, sau ne scufundăm noi, nu putem supravieţui unei inspecţii dat fiind materialul
pe care-l avem la bord. Şi, adăugă el blînd, nu-l vom arunca în mare. Repede le
explică planul său. Aplecat peste fereastra timoneriei, Stevens simţea vechea
durere în stomac şi sîngele fugindu-i din cap.
- “Love you.” He sure knows how to pull on my heartstrings that I thought were
long gone. “Love you too, kid. Get some sleep.” I shut off the lights and close
the door, taking a minute for myself. Shit, this parenting stuff is hard and exhausting.
I’m not sure how Hawk did it and was able to found time to be in the club. Music
from the main room is muted through the steel door I had installed between the
hallway and Jenkins’ bedroom, so he doesn’t hear all the commotion going on. This
place is my home, and it’s his home now too, and the members have been good about
following my rules. Now that the kid is sleeping, the adults can have a good time.
And fuck do I need a good time. I need a real fucking good time.
pipeline_tag: sentence-similarity
library_name: sentence-transformers
---
# SentenceTransformer based on Alibaba-NLP/gte-base-en-v1.5
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [Alibaba-NLP/gte-base-en-v1.5](https://huggingface.co/Alibaba-NLP/gte-base-en-v1.5). It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
## Model Details
### Model Description
- **Model Type:** Sentence Transformer
- **Base model:** [Alibaba-NLP/gte-base-en-v1.5](https://huggingface.co/Alibaba-NLP/gte-base-en-v1.5) <!-- at revision a829fd0e060bb84554da0dfd354d0de0f7712b7f -->
- **Maximum Sequence Length:** 8192 tokens
- **Output Dimensionality:** 768 dimensions
- **Similarity Function:** Cosine Similarity
<!-- - **Training Dataset:** Unknown -->
<!-- - **Language:** Unknown -->
<!-- - **License:** Unknown -->
### Model Sources
- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)
### Full Model Architecture
```
SentenceTransformer(
(0): Transformer({'max_seq_length': 8192, 'do_lower_case': False}) with Transformer model: NewModel
(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
)
```
## Usage
### Direct Usage (Sentence Transformers)
First install the Sentence Transformers library:
```bash
pip install -U sentence-transformers
```
Then you can load this model and run inference.
```python
from sentence_transformers import SentenceTransformer
# Download from the 🤗 Hub
model = SentenceTransformer("sentence_transformers_model_id")
# Run inference
sentences = [
'Tulipson!’ I called out to the Second, who had not been able to get a word in edgeways, ‘I don’t know what the devil’s the matter with the First Mate; but he’ll not find it pay to talk to a crowd like ours, in that sort of fashion, or there’ll be ructions aboard.’ “ ‘Come! come! Jessop! This won’t do! I can’t have you talking like that about the Mate!’ he said, sharply. ‘Let me know what’s to-do, and then go forrard again, the lot of you.’ “ ‘We’d have told you at first, Sir,’ I said, ‘only the Mate wouldn’t give any of us a chance to speak. There’s been an awful accident, Sir. Something’s fallen from aloft, right onto Jock—’ “I stopped suddenly; for there was a loud crying aloft. “ ‘Help! help!',
'“Love you.” He sure knows how to pull on my heartstrings that I thought were long gone. “Love you too, kid. Get some sleep.” I shut off the lights and close the door, taking a minute for myself. Shit, this parenting stuff is hard and exhausting. I’m not sure how Hawk did it and was able to found time to be in the club. Music from the main room is muted through the steel door I had installed between the hallway and Jenkins’ bedroom, so he doesn’t hear all the commotion going on. This place is my home, and it’s his home now too, and the members have been good about following my rules. Now that the kid is sleeping, the adults can have a good time. And fuck do I need a good time. I need a real fucking good time.',
'Dacă nu mă înşel, e marele caic care ne-a depăşit azi- dimineaţa. Dumnezeu ştie cum, dar cred că au fost preveniţi şi vor fi al naibii de bănuitori. Nu va fi o joacă şi nu ne vor cerceta cu mănuşi. Vor fi înarmaţi pînă-n dinţi şi vor căuta scandal. Nu va fi vorba de jumătăţi de măsură. Să fim lămuriţi. Sau se vor scufunda ei, sau ne scufundăm noi, nu putem supravieţui unei inspecţii dat fiind materialul pe care-l avem la bord. Şi, adăugă el blînd, nu-l vom arunca în mare. Repede le explică planul său. Aplecat peste fereastra timoneriei, Stevens simţea vechea durere în stomac şi sîngele fugindu-i din cap.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]
# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]
```
<!--
### Direct Usage (Transformers)
<details><summary>Click to see the direct usage in Transformers</summary>
</details>
-->
<!--
### Downstream Usage (Sentence Transformers)
You can finetune this model on your own dataset.
<details><summary>Click to expand</summary>
</details>
-->
<!--
### Out-of-Scope Use
*List how the model may foreseeably be misused and address what users ought not to do with the model.*
-->
<!--
## Bias, Risks and Limitations
*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
-->
<!--
### Recommendations
*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
-->
## Training Details
### Training Dataset
#### Unnamed Dataset
* Size: 40,000 training samples
* Columns: <code>sentence_0</code>, <code>sentence_1</code>, and <code>sentence_2</code>
* Approximate statistics based on the first 1000 samples:
| | sentence_0 | sentence_1 | sentence_2 |
|:--------|:--------------------------------------------------------------------------------------|:-----------------------------------|:-----------------------------------|
| type | string | list | list |
| details | <ul><li>min: 12 tokens</li><li>mean: 223.34 tokens</li><li>max: 8192 tokens</li></ul> | <ul><li>size: 5 elements</li></ul> | <ul><li>size: 5 elements</li></ul> |
* Samples:
| sentence_0 | sentence_1 | sentence_2 |
|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| <code>Second: I’m going to avoid you. You’re a jinx. I’m that girl again?’ Fran pointed to the splattered photos beside the cooker. ‘I’m her?’ The nurse was ringing and her dad was calling her name and she was thinking about crying. ‘I’m upset, but it’s fine, I know what to do and now you do too.’ She let Nurse Jen in, The Captain out, and shut the door. Oops, Rosie was still inside. ‘Bye Mrs Collins,’ she said, pushing past. And Fran watched the girl in the cherry-red boots walk towards her father’s forgettable car. [] Vonny was in bed with a sore head, and Nurse Jen was in charge of Gramps for the next four hours, which meant Fran could do anything she wanted. She opened the windows and doors, but there was no breeze.</code> | <code>['She turned on the television, The Love House, turned it off again. Everything was icky, the 91world was yucky, the light was bad. She splashed her face with a tiny amount of water and closed herself in the bedroom to ring Vincent. ‘What’s she got that I haven’t, this Chelsea person?’ she said. ‘Constance.’ ‘Right.’ ‘She’s very nice, and don’t worry, she’s not jealous of you at all.’ ‘That’s … I’m just ringing to say I’ll put Vonny on the three-thirty.’ ‘Cool. You okay?’ ‘I am.’ ‘Love you F Face, talk soon.’ Fran had called to tell Vincent everything, but he wasn’t her listener anymore. She changed into her running gear as quickly as she could and sweated it out along Ryan’s Lane, up and over the monument track, and along North Road. She jumped the fence across from St Michael’s onto the old railway land. It was her favourite run, down that hill, along those long disused lines, then up to The Tree. It was a large oak, and was on the hill beside the Old Reservoir.', 'Gramps had proposed to her mum here, and the two of them had made plans for a new life in the country. Apparently, Sofia said this was the most beautiful view she’d ever seen – and her family was from Tuscany. She remembered Gramps bringing her here when she was five, both of them dressed in black, shoes off, feet in the water. ‘Stuff happens,’ he’d said, fishing rod in hand. ‘Things get interrupted.’ Fran was crying her eyes out. ‘But no, no, no, what are we supposed to do now?’ 92 ‘Have a cry, then make new plans,’ he’d said. He brought her here at sixteen too, quite a few times that year, baby Dante in a pouch on his chest, a fishing rod in his hand, Fran usually crying. And when she was thirty, pregnant, lying down, sighing; her fourteen-year-old son holding a fishing rod beside his beloved Grandpa. [] Fran headed back down the hill and onto the railway tracks, sprinting all the way to the oval, where she stopped to stretch. Sunday lunchtime downtown Ash Mountain: the oval was littered with last night’s bottles and cigarette butts, the soon-to-be-replaced statue of Bert Gallagher had been vomited on by someone who had cancer or had eaten tandoori.', 'The Red Lion carpark was crammed with the vehicles of families having counter meals of chicken parmigiana and peppercorn steak. Fran was hungry. A group of young men with a boat named Red Rocket were getting snacks at Gallagher’s Bakery, on their way to Lake Eildon, probably. And the convent was … the convent was right in front of her. One last stretch and she headed that way. [] Fran expected the elderly nun to take ages to answer the door – the building was an enormous bluestone rectangle with a hall attached – and it was a shock when Sister Mary Margaret appeared almost immediately. 93 ‘Hello?’ ‘Hello! Sister Mary Margaret, do you remember me? I’m Fran Collins – Francesca.’ The same Sidney Nolan was still hanging in the hall, and that was about as welcoming as the place would get. ‘You taught me when I was pregnant.', 'Do you remember Little Dante? Sorry, I’ve just been running.’ ‘Little Dante? He’s enormous! Course I know him. His half-acre feeds me, practically – come look at his miracles. Francesca. Come, come, I was just about to pop on the kettle.’ The zucchini on the kitchen table were impressive – Dante had a knack for enabling things to take off. ‘I can’t stay for tea, sorry. I’ve got to get back to Dad.’ ‘Would you like something other than tea?’ ‘Um, maybe water, thanks.’ Poor Sister Mary Margaret, the lonesome lush. She poured Fran’s water first, then – ‘It’s five o’clock somewhere’ – squeezed herself a reasonable-sized glass of cask rosé, plopping two round ice cubes in it.', '‘I made toffee!’ It was in a lovely tin. Sister Mary Margaret was into pretty containers. This one had cows on it. ‘I’d love to be able to chew it. I can only suck it these days. Take some.’ Sister Mary Margaret put a small piece of toffee in the side of her mouth and did not chew it. ‘Your dad – how’s your dad?’ ‘Terrible.’ Fran’s speech had been disabled by the toffee. ‘No, he’s okay. He can’t move, or do anything. He wants to die.’ ‘I’ll try and get out this week, do some crosswords with him.’ Sister Mary Margaret had shrunk a tad, but still towered over Fran at eighty-something.']</code> | <code>['“Nice work, Amber. I can’t believe that you didn’t do your book report. Couldn’t you find a book to match your interests? Did the library lend out the last copy of Where’s Spot?” She picks up some cold noodles with sesame sauce on them and chopsticks them into her mouth. “Are you enjoying your lunch? Worms with worm doodoo, isn’t it? Mmmmmmm, good.” Hannah puts the chopsticks down for a minute, and then she picks them up again. “You are just so immature, Amber. Late growing up\xa0. .', 'Лицето му внезапно помрачня. — Какво има? — попита Бартън разтревожено. — Какво се е случило? — Илюзо-преобразователят — Кристофър се подпря уморено на края на масата. Той вдигна уреда. — Забравил беше да си го сложиш. Кристофър засили лампата. — Значи не е от илюзо-преобразователя — проговори той след известно мълчание. Изглеждаше ужасно състарен и съкрушен, говореше едва едва.', 'It wasn’t long before I realized I had left Paphos without getting gas. I now understood that I wasn’t traveling on Pennsylvania’s I-80, but I still expected to see tall Mobil signs in the distance. In a hilltop village I stopped and used my Greek to ask a man who was walking down the street, “Where can I buy gas?” (I’d practiced.) He got in the car and directed me to the kafeneíon—the coffeehouse—whose patrons came out to give me directions and ended up forming a phalanx around the car and escorting me, on foot, to the garage, while I drove slowly, as if on parade. Instead of in underground tanks with a pump, the gasoline was stored in cans that came in two sizes, small and large. I picked the large one, the proprietor poured it into my tank, I paid in lira, and the men of the village whose coffee I had interrupted all waved goodbye as I pulled back onto the road. So far, the only signs of war I had seen were a refugee camp outside Limassol and a lot of poured-concrete buildings under construction to house people relocating from the Turkish sector. An old man with his arm in a sling was hitchhiking in the opposite direction, and I turned around to give him a ride. I felt so rich here in Cyprus, in my little yellow Fiat with its tank full of gas, that I could not pass up an old man who needed a lift. As soon as he got in the car, the old man whipped off the sling—there was nothing wrong with his arm. Back in his village, where I had been tempted to stop anyway, he wanted to buy me a Coke.', 'The number of bacteria on earth is estimated to be 5,000,000,000,000,000,000,000,000,000,000. This is five million trillion trillion, or 5 × 10 to the 30th power.⁹ Bacteria are the most social of the microbial world, but they don’t often win popularity contests. Bacteria can live in a wide variety of environments, including inside our bodies, where they help us with our biological processes like digesting food. Bacteria often encourage other friendlies to join their tribe and work together for the greater good. But like any social clique, some types of bacteria can be toxic, bad-mouthing each other and recruiting outcasts to soldier up for an invasion. The havoc these nasty tribes wreak include serious diseases like pneumonia (culprit: Streptococcus pneumoniae), meningitis (violator: Haemophilus influenzae), strep throat (perpetrator: Group A Streptococcus), food poisoning (invader: Escherichia coli and Salmonella), and other infections.¹⁰ But here’s the thing: both good and bad bacteria coexist, and it’s when the bad bacteria start rallying their peeps to outnumber the good that causes havoc, and can become a menace as prolific as COVID-19. [Image] You Are a Superorganism So you think you’re human? Made of blood, cells, flesh, thoughts, and emotions? Think again. Humans are superorganisms, with literally trillions of microbes taking up residence inside your body, on your skin, and in your hair.', '2. Suitable. 3. Excited. 2. How we must sanctify God in this ordinance. 1. Something is required before. 1. Habitual.']</code> |
| <code>Or they may go the rest of their lives out of a wrong motive and never attain all that God wants for them. If the parents are not filled with the joy, blessing and anointing of the Lord, it is very difficult for the children to be so filled. Is not rather the fast that I have chosen, to loose the bands of wickedness, to undo the ties of oppression, to release into freedom those who are broken, and that ye break every yoke? (Isaiah 58:6). As Christians, we must be sure in our families and in our corporate expression of Christianity, that we are not legalistic, making heavier yokes and more chains for everyone. That is our human, natural way of doing things. When there is a problem or an abuse, we make more rules to ensure it doesn’t happen again and put everyone in a strait jacket removing more liberty from the Holy Spirit. God intended for the Jews to be a people who would live in freedom with liberty to express themselves to Him, to worship and honor Him. Over the centuries, they adde...</code> | <code>['They would meticulously keep these rules and think they were serving God, yet the blessing of God had left them long ago. Their rule-keeping was so extreme that when Jesus Christ walked among them, healed the blind, raised the dead, and did miracles they had never imagined, they did not give glory to God because Jesus was not interested in all their petty rules and regulations. He had come to share the heart of God with them, and they rejected it because it was foreign to the gilded cage of legalism they had surrounded themselves with. We must be continually on our guard so the same thing does not happen to us. We need to look for chains and yokes, making sure we are not creating bondages. We cannot be saying, “Well, since this happened to me, and I had this negative experience, I had better make sure there is no way anyone else can get hurt by this. Therefore, we will have this and that rule,” and thereby, we add to the Word of God. At the end of the Bible in the book of Revelation, there is a terrible curse on anyone who would add to or take away from the Word of God. Obviously, we need order. Our churches and families are not to be totally uncontrolled.', 'But we must have divine order, God-ordained order, and not some other order we devised as a substitute for God’s order. We must be sure to shoulder our God-ordained responsibilities. If you are the head of the household, your responsibility is to guarantee that your household is run according to God’s order, not according to rules you made up or learned somewhere. Likewise, if you are part of the leadership of a church, it is your responsibility to be participating in God’s order and not some other kind of order. Is it not to share thy bread with the hungry and that thou bring the poor that are cast out into thy house? when thou seest the naked, that thou cover him; and that thou not hide thyself from thy brother? Then shall thy light break forth as the morning, and thine health shall spring forth speedily: and thy righteousness shall go before thee; the glory of the LORD shall gather thee. Then shalt thou call, and thou shalt hear the LORD; thou shalt cry, and he shall say, Here I am. If thou take away from the midst of thee the yoke, the putting forth of the finger, and speaking vanity (Isaiah 58:7-9). As I travel across this continent, I hear many prayers in churches, and most people want great things from God.', '“Lord, heal our land. Lord, heal me when I’m sick. Lord, we don’t have enough money. Lord, save our schools.” Rarely do I see spectacular, clear-cut answers to prayer where the power of God has descended and there is a distinct difference between those who are serving God and those who are not. If God’s conditions have not been met by those who claim to belong to Him, we have not allowed the Lord to work in and through us. ...to share thy bread with the hungry and that thou bring the poor that are cast out to thy house. One time when we were very poor, growing up on a missionary base, my Dad started to apply some of these promises and meet some of the conditions. He had a whole book of all of the promises in Scripture. He would get down on his knees and ask the Lord what He wanted him to do to meet some of these conditions and activate God’s promises. Dad did some “strange” things for which he was severely criticized.', 'One occurred when we were to host a big banquet for the government dignitaries who were in charge of the Ministry of Government. The missionaries were about to be kicked out of the country, so the mission wanted to give the leaders of the government a favorable impression of the mission base. An airplane was sent to fly the dignitaries from the capital city to the missionary compound. Buying food and supplies for a special banquet drained the mission public relations fund. Everyone got out their best lace tablecloths and china. The banquet centered at our house because my dad was in charge of the technical work for the mission. It was his job to handle the government dignitaries. My mom and some of the ladies who were the best cooks among the missionary wives prepared a special dinner. We took our living room furniture out and put extra tables in our living room and dining room. But then the Director of our mission called with a report that there was bad weather, and the trip had been canceled and put off a week.', 'So there we were with this exquisite banquet and no invited guests. The Director wanted to know if our family could eat all the food and then pay the public relations fund back. Dad and Ricardo had just been reading in their Bibles where it said that if the wedding guests who had been invited did not come, you were to go out into the highways and byways and compel them to come in. Ricardo felt that this was what we should do. There were a lot of poor neighbors outside the gates of the mission compound. We were not supposed to be working with them because we had only been chartered to work with Indians, and many of our missionary coworkers feared that if we worked with these needy Spanish speakers, we would jeopardize our government contract. So we had been sitting there allowing horrendous need to occur right at our very gate. Dad informed the Director that in regard to the banquet, we were going to do what the Bible said and round up all the poor, hungry neighbors and feed them. Then Dad went out with the mission vehicles and loaded up the poor people and brought them to our house where he sat them down at the tables with the lace tablecloths and the fine china, and we served them the banquet. I can still remember serving at that banquet when a little old guy (I have never seen before or since) came hobbling up the hill to ask if we could give him a drink of water.']</code> | <code>["The answer is 50. So, what does Python do if you multiply the alphabet ‘a’ by 10? This is what happens: >>> print(10 * 'a') aaaaaaaaaa Most programmers use this approach if they want to have some spaces within the string, especially when they are displaying the string in the shell as a message. For example, how would you print a letter in the shell? You should select File4New Window and enter the code in the section below: spaces = ' ' * 25 print('%s 12 Butts Wynd' % spaces) print('%s Twinklebottom Heath' % spaces) print('%s West Snoring' % spaces) print() print() print('Dear Sir') print() print('I wish to report that tiles are missing from the') print('outside toilet roof.') print('I think it was bad wind the other night that blew them away.') print() print('Regards') print('Malcolm Dithering') Once the code has been typed in, you should choose the option File4Save to save the code. Save the code using the name myletter. The first line in the code above will instruct Python to create a variable space by using the space character 25. You can then use that space character in the next three lines of the code. This will help you align the text in the right format. You can fill the screen using annoying messages by using the multiplication operation.", 'Even though Lara had grown up in the past year—falling in love, having sex, finding the seeds of her confidence—she was still only fifteen years old. Still young enough to believe that her parents possessed magical powers; that they could fix anything. The whole way home, she played this scene in her head, as if repetition could make it real. She would walk through the door, and her parents would say, Thank God you’re here, Larochka. There’s been some terrible mix-up. But when she entered the apartment, her parents were immersed in a game of canasta, like any ordinary Tuesday night. Without glancing up from her cards, Irina said, “Were you warm enough in that jacket, Lara?” “Join us, darling,” Fyodor said. “Your mother is walloping me. Help me fend her off.” “Lara?” Irina said, finally looking up. “Lara, what’s wrong?” ------------------------------------------------------------------------ The burial took place a few days later, in a cemetery in a distant corner of the city.', 'Tonight she would talk to the others and together they would find a way to give Leila a funeral – and not just any funeral, but the finest funeral this manic old city had ever seen. This Manic Old City Istanbul was an illusion. A magician’s trick gone wrong. Istanbul was a dream that existed solely in the minds of hashish eaters. In truth, there was no Istanbul. There were multiple Istanbuls – struggling, competing, clashing, each perceiving that, in the end, only one could survive. There was, for instance, an ancient Istanbul designed to be crossed on foot or by boat – the city of itinerant dervishes, fortune-tellers, matchmakers, seafarers, cotton fluffers, rug beaters and porters with wicker baskets on their backs … There was modern Istanbul – an urban sprawl overrun with cars and motorcycles whizzing back and forth, construction trucks laden with building materials for more shopping centres, skyscrapers, industrial sites … Imperial Istanbul versus plebeian Istanbul; global Istanbul versus parochial Istanbul; cosmopolitan Istanbul versus philistine Istanbul; heretical Istanbul versus pious Istanbul; macho Istanbul versus a feminine Istanbul that adopted Aphrodite – goddess of desire and also of strife – as its symbol and protector … Then there was the Istanbul of those who had left long ago, sailing to faraway ports. For them this city would always be a metropolis made of memories, myths and messianic longings, forever elusive like a lover’s face receding in the mist. All these Istanbuls lived and breathed inside one another, like matryoshka dolls that had come to life. But even if a wicked wizard managed to separate them and put them side by side, nowhere in this vast line-up would he find a part of the city more desired, demonized and denounced than one particular neighbourhood: Pera.', '“You ready for this fire?” he asked. She groaned. “If you had any idea how sore I am after today, you’d never have agreed to this.” He held out his hand to help her up. “Do you want to beg off?” “And let Paul and Nikki think I’m out of shape?” She groaned again. “No way.” She placed her hand in his and let him pull her to her feet. They stood with only a few inches separating them. In any other circumstances John would have stepped back, but neither of them moved. Their eyes met and he studied her, looking for some indication of what she was thinking, what she was feeling. He read the question on her face and knew it was a reflection of his own doubts. He hadn’t kissed another woman since Lorraine, hadn’t even been tempted.', 'They kept staring at me as if they knew me. I ignored them, but noticed it went on during the whole time they were there. They didn\'t say anything that day, but when they returned the next day, Galen approached me. He told me I looked just like his wife, Hester. I told him I once had a daughter named Hester but she\'d been sold away as a baby." Galen continued at that point. "Then I asked her her name. When she told me her name was Frances, I didn\'t dare even think she might be Hester\'s mother for fear it would not be the true Frances." "When he asked my full name and I responded, he went so still I began to fear he\'d suffered some type of fit." Galen replied with a smile, "I thought I had. My heart fairly froze in my chest when she told me her name was Frances Wyatt Donaldson." Hester asked, "So do you have to return to Charleston?" Frances glanced over at Galen, then back. "I really don\'t know. Thanks to your extravagant husband I am no longer in bondage.']</code> |
| <code>------------------------------------------------------------------------ MARGUERITE LAI, Dance Revivalist The va’a were the backbone of our culture. Our canoes were the centre of daily life. Our villages were named for the va’a. It means everyone pulling together and working together. It’s a broader metaphor for Polynesian society. ------------------------------------------------------------------------ These vessels were central to Tahitian society. The open catamarans were carved using tools made of coral, stone and human bone, and cracks sealed with sap and resin from breadfruit trees. Planking was bound together with rope made of coconut fibre, and sails were woven from pandanus leaves. Cook had no concerns about the seaworthiness of Polynesian vessels. When he visited Tonga, he was particularly impressed by the double-hulled canoes he saw there.</code> | <code>['And they were speedy. He noted that they could reach seven miles an hour in a light breeze, which far outpaced Cook’s own vessels. In a fine example of nautical one-upmanship, in New Zealand waters a Māori canoe approached the Endeavour and a warrior on board called out to the men on board, ‘Are you alright? Are you sick? Why are you going so slowly?’ When told the ship was under full sail and travelling at top speed, the Māori sailors fell about themselves laughing before taking off again across the waves. As the means by which Polynesians interacted with their world, the canoe was a pillar of traditional Tahitian society. Watching the Tahitians and their brethren negotiate their way across the waves, Cook recognised kindred spirits. Like him, these people were sailors. ------------------------------------------------------------------------ MATAHI TUTAVAI The big canoes would go out to other islands. They not only found those islands, they also went back and forth between them.', 'We have family ties with Hawai‘i, with Aotearoa, with Samoa, Tonga. To us, the ocean wasn’t a barrier, it was a highway. We knew how to use it. ------------------------------------------------------------------------ They handled their canoes ‘very dextrously’, said Cook: ‘I believe [they] perform long and distant voyages in them, otherwise they could not have the knowledge of the islands in these seas they seem to have.’ But the Polynesian ships were, in virtually every way, completely unlike the converted collier James Cook sailed into the Pacific. The newly minted lieutenant would have felt right at home in the coal-carting vessel formerly known as the Earl of Pembroke. Cook learnt to sail on Whitby ‘cats’, as they were called. ------------------------------------------------------------------------ DAVID PRYCE, Sailor and Adventurer You look at the shape of the Endeavour – well, it is pretty much as close to your bathtub as you can get. It wasn’t a very manoeuvrable ship. ------------------------------------------------------------------------ With their flat bottoms, massive space below deck and square bows, the British ships weren’t much chop when it came to speed. But the ship renamed HM Bark Endeavour – ‘bark’ being the term used for those vessels that didn’t easily fit the British Navy’s classification system – was just the ticket for long-distance voyaging.', 'Its ‘bluff’ bow was much stronger than a pointy hull, and its flat bottom and shallow draught meant it could be floated off troublesome reefs or shoals a great deal more easily than if it had a pointy bow. It may not have set any speed records, but as events later in the voyage would prove, the Endeavour was well chosen for the conditions. In any other vessel, Cook’s great Pacific adventure might have gone no further than his first voyage. What the high priest of ’Oro and navigator, Tupaia, thought of Cook’s cumbersome vessel as he climbed on board in 1769 off the shores of Tahiti, we’ll never know. But thanks to the various journals kept by the crew of the Endeavour, we do know something about the man who left his ancestral home on Ra’iatea and set out to sea with a boatload of noisome British sailors. Born around 1725, Tupaia was an ’arioi and was blessed with all the traits that membership of the exclusive class of priests and priestesses entailed. He was statuesque and physically imposing, highly intelligent and charismatic, and a savvy diplomat. The ship’s master, Robert Molyneux, deemed Tupaia to be: ‘infinitely superior in every respect to any other Indian we have met with, he has conceived so strong a friendship for Mr Banks that he is determined to visit Britannia’. It was true that Joseph Banks formed a particularly close relationship with Tupaia, so much so that he harboured ambitions to take him back to England and keep him. Much like an exotic pet.', '------------------------------------------------------------------------ SIR JOSEPH BANKS Thank heaven I have a sufficiency and I do not know why I may not keep him as a curiosity, as well as some of my neighbours do lions and tigers at a larger expense than he will probably ever put me to; the amusement I shall have in his future conversation and the benefit he will be of to this ship, as well as what he may be if another should be sent into these seas, will I think fully repay me. ------------------------------------------------------------------------ Banks also knew it would be a boon to have Tupaia on board as a translator and local mediator when they encountered other Pacific Islanders. Even before the Endeavour arrived in Tahiti, he had been contemplating the benefits that a local guide would offer. ------------------------------------------------------------------------ SIR JOSEPH BANKS [We should] persuade one of them to come with us who may serve as an interpreter, and give us an opportunity hereafter of landing wherever we please without running the risk of being obliged to commit the cruelties which the Spaniards and most others who have been in these seas have often brought themselves under the dreadful necessity of being guilty of, for guilty I must call it. ------------------------------------------------------------------------ As for Tupaia, his motivations for embarking with Cook and his men were crystal clear. ------------------------------------------------------------------------ RICHARD ARIIHAU TUHEIAVA Tupaia did follow Cook because he wanted to discover how things were outside of this country. He had a personal quest. He was not simply being used by James Cook. Tupaia had his own ambitions too. He had a very high level of wisdom and spiritual training – more so than James Cook.', 'But he had no ship. He needed Cook to travel across the ocean and see the islands beyond. ------------------------------------------------------------------------ In the intertribal wars, Tupaia had been driven from his homeland, Ra’iatea, by a rival group from Bora Bora. He relocated to Tahiti, where he aligned himself with Queen Purea and became her advisor and lover. Naturally, he was keen to take his home back. He must have known that an alliance with the British and their impressive weapons certainly wouldn’t hurt his ambitions. Before the Endeavour set sail on the next leg of its voyage, Tupaia directed the ship to Ra’iatea and what we now know to be one of the most significant historical sites in the Pacific: Taputapuatea Marae. ------------------------------------------------------------------------ RICHARD ARIIHAU TUHEIAVA It was where the most beautiful ocean-going journeys of all time began. Celestial navigation was an art, but also a lifestyle. Taputapuatea was the navigational hub of all these people – these heroes – who crossed the ocean without any instruments, and returned to this place they considered their homeland.']</code> | <code>['Preheat the oven to 300 ° F. Line a circular 9-inch cake pan on baking paper and spray with oil of choice. 2. Sift the almond flour, cocoa powder, baking soda, erythritol and salt into a medium bowl and mix everything until it is smooth. 3. Add the vanilla extract and coconut oil and mix until the dough turns into crumbs. 4. Add the egg and mix until the cookie dough starts to stick and form a ball. 5. Put the dough into a separated cake pan and lightly press the dough with your fingers until it evenly covers the bottom of the pan.', '"Wh-what do you want?" Ciaran had rehearsed what he was going to say to the man, plotted it with Fallon. What would Ciaran of the Mist say? What would he do? What would most terrorize this craven cur with the dagger at his throat? Yet as Ciaran stared down into that bloated face with its eyes gluttonous from selfish pleasure, every speech vanished from his brain, leaving only a red haze of rage. "Who am I?" Ciaran echoed. "I am your worst nightmare—the reason you keep that pathetic pistol beneath your pillow at night, set guards at your doors. Did you really believe such paltry measures could keep me away?" Was it possible for the man to blanch any whiter? "J-James?" Butler stammered, shrinking back. "No!', 'В колата се чувствуваше в стихията си. Отсега нататък окото му няма да мигне. Виждал бе същото на война. То променяше човек повече, отколкото загубата на девствеността. Страхът изчезваше като опериран. На негово място израстваше нещо друго. Най-важното в един мъж. Онова, което го правеше да бъде мъж. И жените го усещаха. Липсата на този проклет страх.', 'No. What were you thinking? I wasn\'t thinking. I was finally doing something. Yeah. Something stupid. Don\'t tell me you\'re on their side now. I was walking fast. Link struggled to keep up with me. "You\'re gonna start a fight, aren\'t you?', '39 48. 40 49. 41 50. 42 51. 43 52. 44 53. 45 54. 46 55. 47 56. 48 57.']</code> |
* Loss: [<code>TripletLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#tripletloss) with these parameters:
```json
{
"distance_metric": "TripletDistanceMetric.EUCLIDEAN",
"triplet_margin": 0.5
}
```
### Training Hyperparameters
#### Non-Default Hyperparameters
- `per_device_train_batch_size`: 1
- `per_device_eval_batch_size`: 1
- `num_train_epochs`: 1
- `multi_dataset_batch_sampler`: round_robin
#### All Hyperparameters
<details><summary>Click to expand</summary>
- `overwrite_output_dir`: False
- `do_predict`: False
- `eval_strategy`: no
- `prediction_loss_only`: True
- `per_device_train_batch_size`: 1
- `per_device_eval_batch_size`: 1
- `per_gpu_train_batch_size`: None
- `per_gpu_eval_batch_size`: None
- `gradient_accumulation_steps`: 1
- `eval_accumulation_steps`: None
- `torch_empty_cache_steps`: None
- `learning_rate`: 5e-05
- `weight_decay`: 0.0
- `adam_beta1`: 0.9
- `adam_beta2`: 0.999
- `adam_epsilon`: 1e-08
- `max_grad_norm`: 1
- `num_train_epochs`: 1
- `max_steps`: -1
- `lr_scheduler_type`: linear
- `lr_scheduler_kwargs`: {}
- `warmup_ratio`: 0.0
- `warmup_steps`: 0
- `log_level`: passive
- `log_level_replica`: warning
- `log_on_each_node`: True
- `logging_nan_inf_filter`: True
- `save_safetensors`: True
- `save_on_each_node`: False
- `save_only_model`: False
- `restore_callback_states_from_checkpoint`: False
- `no_cuda`: False
- `use_cpu`: False
- `use_mps_device`: False
- `seed`: 42
- `data_seed`: None
- `jit_mode_eval`: False
- `use_ipex`: False
- `bf16`: False
- `fp16`: False
- `fp16_opt_level`: O1
- `half_precision_backend`: auto
- `bf16_full_eval`: False
- `fp16_full_eval`: False
- `tf32`: None
- `local_rank`: 0
- `ddp_backend`: None
- `tpu_num_cores`: None
- `tpu_metrics_debug`: False
- `debug`: []
- `dataloader_drop_last`: False
- `dataloader_num_workers`: 0
- `dataloader_prefetch_factor`: None
- `past_index`: -1
- `disable_tqdm`: False
- `remove_unused_columns`: True
- `label_names`: None
- `load_best_model_at_end`: False
- `ignore_data_skip`: False
- `fsdp`: []
- `fsdp_min_num_params`: 0
- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
- `tp_size`: 0
- `fsdp_transformer_layer_cls_to_wrap`: None
- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
- `deepspeed`: None
- `label_smoothing_factor`: 0.0
- `optim`: adamw_torch
- `optim_args`: None
- `adafactor`: False
- `group_by_length`: False
- `length_column_name`: length
- `ddp_find_unused_parameters`: None
- `ddp_bucket_cap_mb`: None
- `ddp_broadcast_buffers`: False
- `dataloader_pin_memory`: True
- `dataloader_persistent_workers`: False
- `skip_memory_metrics`: True
- `use_legacy_prediction_loop`: False
- `push_to_hub`: False
- `resume_from_checkpoint`: None
- `hub_model_id`: None
- `hub_strategy`: every_save
- `hub_private_repo`: None
- `hub_always_push`: False
- `gradient_checkpointing`: False
- `gradient_checkpointing_kwargs`: None
- `include_inputs_for_metrics`: False
- `include_for_metrics`: []
- `eval_do_concat_batches`: True
- `fp16_backend`: auto
- `push_to_hub_model_id`: None
- `push_to_hub_organization`: None
- `mp_parameters`:
- `auto_find_batch_size`: False
- `full_determinism`: False
- `torchdynamo`: None
- `ray_scope`: last
- `ddp_timeout`: 1800
- `torch_compile`: False
- `torch_compile_backend`: None
- `torch_compile_mode`: None
- `dispatch_batches`: None
- `split_batches`: None
- `include_tokens_per_second`: False
- `include_num_input_tokens_seen`: False
- `neftune_noise_alpha`: None
- `optim_target_modules`: None
- `batch_eval_metrics`: False
- `eval_on_start`: False
- `use_liger_kernel`: False
- `eval_use_gather_object`: False
- `average_tokens_across_devices`: False
- `prompts`: None
- `batch_sampler`: batch_sampler
- `multi_dataset_batch_sampler`: round_robin
</details>
### Training Logs
| Epoch | Step | Training Loss |
|:-----:|:-----:|:-------------:|
| 0.025 | 500 | 0.016 |
| 0.05 | 1000 | 0.0126 |
| 0.075 | 1500 | 0.0076 |
| 0.1 | 2000 | 0.0105 |
| 0.125 | 2500 | 0.0044 |
| 0.15 | 3000 | 0.0088 |
| 0.175 | 3500 | 0.0069 |
| 0.2 | 4000 | 0.0019 |
| 0.225 | 4500 | 0.0122 |
| 0.25 | 5000 | 0.0098 |
| 0.275 | 5500 | 0.0092 |
| 0.3 | 6000 | 0.0079 |
| 0.325 | 6500 | 0.0078 |
| 0.35 | 7000 | 0.0133 |
| 0.375 | 7500 | 0.0108 |
| 0.4 | 8000 | 0.0046 |
| 0.425 | 8500 | 0.0084 |
| 0.45 | 9000 | 0.0111 |
| 0.475 | 9500 | 0.0102 |
| 0.5 | 10000 | 0.0081 |
| 0.525 | 10500 | 0.0046 |
| 0.55 | 11000 | 0.0045 |
| 0.575 | 11500 | 0.001 |
| 0.6 | 12000 | 0.0045 |
| 0.625 | 12500 | 0.0057 |
| 0.65 | 13000 | 0.0057 |
| 0.675 | 13500 | 0.0062 |
| 0.7 | 14000 | 0.0045 |
| 0.725 | 14500 | 0.0089 |
| 0.75 | 15000 | 0.0028 |
| 0.775 | 15500 | 0.0017 |
| 0.8 | 16000 | 0.0082 |
| 0.825 | 16500 | 0.01 |
| 0.85 | 17000 | 0.0091 |
| 0.875 | 17500 | 0.0032 |
| 0.9 | 18000 | 0.0016 |
| 0.925 | 18500 | 0.0028 |
| 0.95 | 19000 | 0.0027 |
| 0.975 | 19500 | 0.0009 |
| 1.0 | 20000 | 0.0012 |
### Framework Versions
- Python: 3.11.2
- Sentence Transformers: 3.4.1
- Transformers: 4.50.1
- PyTorch: 2.6.0+cu124
- Accelerate: 1.5.2
- Datasets: 3.4.1
- Tokenizers: 0.21.1
## Citation
### BibTeX
#### Sentence Transformers
```bibtex
@inproceedings{reimers-2019-sentence-bert,
title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
author = "Reimers, Nils and Gurevych, Iryna",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
month = "11",
year = "2019",
publisher = "Association for Computational Linguistics",
url = "https://arxiv.org/abs/1908.10084",
}
```
#### TripletLoss
```bibtex
@misc{hermans2017defense,
title={In Defense of the Triplet Loss for Person Re-Identification},
author={Alexander Hermans and Lucas Beyer and Bastian Leibe},
year={2017},
eprint={1703.07737},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
```
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