Datasets:
__key__ stringlengths 23 23 | mp3 audioduration (s) 3.05 30 | text stringlengths 22 718 | language stringclasses 1
value | speaker_id stringlengths 26 26 | dnsmos float64 2.4 3.74 |
|---|---|---|---|---|---|
EN_b18bd2be12f3_W000000 | A lot of people really get stuck on these types of puzzles, but keep watching for one simple trick to make it much simpler. Hello Huskalinks, and welcome to day 14. | en | EN_b18bd2be12f3_SPEAKER_00 | 3.517 | |
EN_b18bd2be12f3_W000001 | We first split the input into two sections using interactG. Then we can parse each of the lines in the second section using a parser that parses the characters and the ASCII arrow like this. | en | EN_b18bd2be12f3_SPEAKER_00 | 3.484 | |
EN_b18bd2be12f3_W000002 | The first section is only one line, so we can use pattern matching to grab it. For the second section, we can use Parslist. | en | EN_b18bd2be12f3_SPEAKER_00 | 3.463 | |
EN_b18bd2be12f3_W000003 | We need to step through 10 iterations, and for each, we will lookup the inserted character for each adjacent pair. So let's break it down into a getPairs function, and a function g that will do the lookup. | en | EN_b18bd2be12f3_SPEAKER_00 | 3.538 | |
EN_b18bd2be12f3_W000004 | So G will take the pair and return a list with the new item and then also the second of the original pair. Lookup returns a maybe, so let's just do a from maybe space. | en | EN_b18bd2be12f3_SPEAKER_00 | 3.378 | |
EN_b18bd2be12f3_W000005 | GetPairs will then just return all adjacent items as a list of pairs. And yes, I really should be using ZipWidth for this. Anyway, the last thing we need to do is to get the popularity counts, and we can use our histo function that we developed on day 6 for this. | en | EN_b18bd2be12f3_SPEAKER_00 | 3.472 | |
EN_b18bd2be12f3_W000006 | And then once we subtract the highest pop count from the lowest, we're done. | en | EN_b18bd2be12f3_SPEAKER_00 | 3.275 | |
EN_b18bd2be12f3_W000007 | Part 2 is exactly what I feared, more iterations. This is a problem because the resulting string will grow exponentially and completely blow out the memory requirements. So we need to find another approach that doesn't use so much memory. | en | EN_b18bd2be12f3_SPEAKER_00 | 3.445 | |
EN_b18bd2be12f3_W000008 | The trick is to avoid doing all the insertions together, so for each pair we can keep track of which iteration it's on and just work on these in a depth first way. | en | EN_b18bd2be12f3_SPEAKER_00 | 3.426 | |
EN_b18bd2be12f3_W000009 | Let's start by removing the stuff we don't need from part 1. | en | EN_b18bd2be12f3_SPEAKER_00 | 3.057 | |
EN_b18bd2be12f3_W000010 | Then we can write a function D that takes one of these three tuples and returns the histogram for the end result. | en | EN_b18bd2be12f3_SPEAKER_00 | 3.285 | |
EN_b18bd2be12f3_W000011 | If we're on the last iteration, just return the second item and its population of 1. But if there are more iterations to go, use recursion to combine the results after doing the insertion. | en | EN_b18bd2be12f3_SPEAKER_00 | 3.483 | |
EN_b18bd2be12f3_W000012 | The way we get the inserted character is the same as before. | en | EN_b18bd2be12f3_SPEAKER_00 | 3.292 | |
EN_b18bd2be12f3_W000013 | To reduce appended histograms, we need to group by the character and then sum all the population counts for each one. | en | EN_b18bd2be12f3_SPEAKER_00 | 3.423 | |
EN_b18bd2be12f3_W000014 | Let's not forget about the very first element, which we can add into the concatenation of running D over the rest of the pairs, then combine it, and then sort by the pop count. | en | EN_b18bd2be12f3_SPEAKER_00 | 3.513 | |
EN_b18bd2be12f3_W000015 | If we rename that to h, then we can just uncomment the old definition of f. But before we do that, I'd like to try to make this a bit more efficient by memoising the d function. | en | EN_b18bd2be12f3_SPEAKER_00 | 3.444 | |
EN_b18bd2be12f3_W000016 | To do that, it's as simple as importing MemoTria, | en | EN_b18bd2be12f3_SPEAKER_00 | 3.307 | |
EN_d7b6f63b3547_W000005 | this segment of Lakeland News, please consider making a tax-deductible contribution to Lakeland Public Television. | en | EN_d7b6f63b3547_SPEAKER_01 | 3.409 | |
EN_2249769a1550_W000000 | Brainerd Police Department is searching for a man who was last seen on or around July 4th in downtown Brainerd. | en | EN_2249769a1550_SPEAKER_00 | 2.781 | |
EN_2249769a1550_W000001 | John Allen Greenwalt was active on his Facebook page, but family and friends haven't heard from him or seen him. | en | EN_2249769a1550_SPEAKER_00 | 3.471 | |
EN_2249769a1550_W000002 | The 29-year-old is described as a Caucasian, 5 foot 10 inches tall, 180 pounds, with blue eyes and brown hair. | en | EN_2249769a1550_SPEAKER_00 | 3.523 | |
EN_2249769a1550_W000003 | Greenwald has several tattoos on his arms and neck. He has the letters John across his left fingers and Diane on his right forearm. | en | EN_2249769a1550_SPEAKER_00 | 3.39 | |
EN_2249769a1550_W000004 | His family became concerned because this is unusual behavior for Greenwald to not have contact with them for several days, so they reported him missing on July 14th. Investigators are on the case. Brainerd Police has been active in the search for Greenwald. If you have any information on Greenwald, you are asked to ca... | en | EN_2249769a1550_SPEAKER_00 | 3.504 | |
EN_8a77515b4b60_W000000 | Hey, did you know that the view rate stayed at 25 views per hour on our latest promotion? | en | EN_8a77515b4b60_SPEAKER_00 | 3.343 | |
EN_8a77515b4b60_W000001 | since 10pm except for one little dip. This is happening because a lot of people were going into the video, maybe new users, which may click on the link. Usually I'd get about 400 or so views because, well, the ratio is 40%. | en | EN_8a77515b4b60_SPEAKER_00 | 3.487 | |
EN_8a77515b4b60_W000002 | this is normal it's okay for that and for the previous video it's looking okay just getting about five views per hour as usual and there's nothing wrong with it the two days of fake supporters already finished for that video | en | EN_8a77515b4b60_SPEAKER_00 | 3.292 | |
EN_3a00b329e905_W000000 | Hello everybody! This video will show you how to create an Oracle VirtualBox virtual machine and how to recover data from a virtual disk of such machine after a failure or when the virtual machine can't start. | en | EN_3a00b329e905_SPEAKER_00 | 3.441 | |
EN_3a00b329e905_W000001 | In order to create a virtual machine, install and run Oracle VirtualBox. | en | EN_3a00b329e905_SPEAKER_00 | 3.458 | |
EN_3a00b329e905_W000002 | Click the new button in the toolbar at the top of the window. | en | EN_3a00b329e905_SPEAKER_00 | 3.498 | |
EN_3a00b329e905_W000003 | In the wizard window enter the name of the new virtual machine. | en | EN_3a00b329e905_SPEAKER_00 | 3.251 | |
EN_3a00b329e905_W000004 | The operating system type that you are going to install, in our case, that is Microsoft Windows, version Windows 10 64-bit. | en | EN_3a00b329e905_SPEAKER_00 | 3.432 | |
EN_3a00b329e905_W000005 | Please note that you can install onto your virtual machine not only Windows, but also other operating systems, including Linux. | en | EN_3a00b329e905_SPEAKER_00 | 3.44 | |
EN_3a00b329e905_W000006 | Assign the memory size you'd like to give this virtual machine. It is recommended to have at least 2 GB. | en | EN_3a00b329e905_SPEAKER_00 | 3.531 | |
EN_3a00b329e905_W000007 | I allocate 4GB because my computer has 8GB of memory installed. To make sure the virtual machine is not going to be too hard for your PC to handle, I recommend setting its memory size at no more than 50% of the actual memory available. | en | EN_3a00b329e905_SPEAKER_00 | 3.425 | |
EN_3a00b329e905_W000008 | Select settings for the hard disk of the virtual machine. You can create a new one or connect an existing one. I select Create a new virtual hard disk. | en | EN_3a00b329e905_SPEAKER_00 | 3.367 | |
EN_3a00b329e905_W000009 | In the next window, select the virtual hard disk type. By the way, there is also an Expert mode button, clicking on which you can access more hard disk settings. Now let's get back to virtual disk types. | en | EN_3a00b329e905_SPEAKER_00 | 3.373 | |
EN_3a00b329e905_W000010 | A user can choose the disk format for the machine being created. By default, it is VDI. If you don't need to use the disk with other software virtualization products, you can leave the setting as it is. | en | EN_3a00b329e905_SPEAKER_00 | 3.413 | |
EN_3a00b329e905_W000011 | In this window, you can also set the size of the disk you are creating. The size can be anything you like, but it's better to have at least 30GB and make sure that your hard disk still has enough space after you create the virtual machine. | en | EN_3a00b329e905_SPEAKER_00 | 3.575 | |
EN_3a00b329e905_W000012 | That is because your virtual machine may become larger in the course of work. | en | EN_3a00b329e905_SPEAKER_00 | 3.257 | |
EN_3a00b329e905_W000013 | You can also choose the format, dynamically allocated or fixed size. Dynamically allocated option is more efficient in terms of saving hard disk space, as such virtual disk will grow when more data is saved there. | en | EN_3a00b329e905_SPEAKER_00 | 3.328 | |
EN_3a00b329e905_W000014 | The virtual machine is created and we can see it in the list on the left. All of its settings are shown on the right. | en | EN_3a00b329e905_SPEAKER_00 | 3.425 | |
EN_3a00b329e905_W000015 | Run the virtual machine by clicking on Start, shown as a green arrow in the toolbar. As our virtual machine has no operating system installed, we have to show the path to the installation disk. By default, it is the CD-DVD drive, in our case disk D. | en | EN_3a00b329e905_SPEAKER_00 | 3.489 | |
EN_3a00b329e905_W000016 | However, by clicking on this icon , you can change the path and select an ISO image or a USB drive instead. | en | EN_3a00b329e905_SPEAKER_00 | 3.429 | |
EN_3a00b329e905_W000017 | Watch another video on our channel to see how to create a bootable USB drive to install Windows. Find the link in the description. | en | EN_3a00b329e905_SPEAKER_00 | 3.505 | |
EN_3a00b329e905_W000018 | I specify the path to the ISO image I have prepared beforehand, next and after that Windows installation starts. | en | EN_3a00b329e905_SPEAKER_00 | 3.541 | |
EN_3a00b329e905_W000019 | Installing Windows on an Oracle VirtualBox virtual machine is similar to making a clean installation on a desktop or laptop computer, that's why I won't go into details. Just watch another video by our channel to see how to make a clean installation of Windows. You will find the link in the description. | en | EN_3a00b329e905_SPEAKER_00 | 3.436 | |
EN_3a00b329e905_W000020 | After the operating system is installed, you will have another that is virtual operating system that works inside the operating system of your computer. All files of this operating system, both system files and user files, | en | EN_3a00b329e905_SPEAKER_00 | 3.396 | |
EN_3a00b329e905_W000021 | stored on the computer's hard disk. By default, this folder is named VirtualBox. | en | EN_3a00b329e905_SPEAKER_00 | 3.433 | |
EN_3a00b329e905_W000022 | You can change location of the Virtual Machines folder in the program settings if necessary. To do it, go to File, | en | EN_3a00b329e905_SPEAKER_00 | 3.328 | |
EN_3a00b329e905_W000023 | General and specify the folder you want to place virtual machines in. | en | EN_3a00b329e905_SPEAKER_00 | 3.532 | |
EN_3a00b329e905_W000024 | The main files of an Oracle VM VirtualBox virtual machine are as follows. | en | EN_3a00b329e905_SPEAKER_00 | 3.42 | |
EN_3a00b329e905_W000025 | vbox – a settings file describing the virtual machine and its settings and actually the virtual machine disk image file vdi or vmdk, vhd, vhdx, hdd, qed, qcow, depending on the format of the virtual disk that you have selected during the installation. | en | EN_3a00b329e905_SPEAKER_00 | 3.483 | |
EN_3a00b329e905_W000026 | While the virtual machine is running, the program can create additional files or folders if necessary. Logs – the folder containing virtual machine log files and Snapshots – the folder containing virtual machine snapshot files, i.e. images of the virtual machine condition. | en | EN_3a00b329e905_SPEAKER_00 | 3.444 | |
EN_3a00b329e905_W000027 | In this video, I want to show you one trick just in case if for some reason your virtual machine is no longer working and there are important files on these disks. I will show you how to recover them. | en | EN_3a00b329e905_SPEAKER_00 | 3.354 | |
EN_3a00b329e905_W000028 | Though Oracle VirtualBox is a virtual machine, real data can be saved there. | en | EN_3a00b329e905_SPEAKER_00 | 3.396 | |
EN_3a00b329e905_W000029 | As we have already said, all files stored in virtual machine disks are located in VDI files of the virtual disk . Hetman Partition Recovery, the program for hard disk data recovery, has the function of mounting virtual disks and recovering data from such disks. You can download Hetman Partition Recovery following the ... | en | EN_3a00b329e905_SPEAKER_00 | 3.602 | |
EN_3a00b329e905_W000030 | In order to get access to virtual machine files, run Hetman Partition Recovery and mount the virtual machine disk. | en | EN_3a00b329e905_SPEAKER_00 | 3.482 | |
EN_3a00b329e905_W000031 | If there are several of them, you can mount them all at once or one by one. To mount a virtual disk with the help of Hitman Partition Recovery, click on Mount Disk in the Quick Access menu of the program. As a result, the window of choosing a virtual disk will open. | en | EN_3a00b329e905_SPEAKER_00 | 3.48 | |
EN_3a00b329e905_W000032 | Go to the folder containing the virtual machine and choose the necessary virtual disk file. And open. | en | EN_3a00b329e905_SPEAKER_00 | 3.424 | |
EN_3a00b329e905_W000033 | As you do that, the section mounted disks containing the list of mounted virtual disks will appear in the window, where all disks found by the application are shown. If you mount several disks, you will see the entire disk list there. | en | EN_3a00b329e905_SPEAKER_00 | 3.573 | |
EN_3a00b329e905_W000034 | Scan the disk with the application by clicking on the disk in the Disk Manager. After the analysis, the application will show the directory tree of the scanned disk. | en | EN_3a00b329e905_SPEAKER_00 | 3.564 | |
EN_3a00b329e905_W000035 | Find and recover the necessary files to a convenient location in your main operating system. By the way, you can use this method to move files from a virtual machine disk to the main operating system. | en | EN_3a00b329e905_SPEAKER_00 | 3.538 | |
EN_3a00b329e905_W000036 | The methods we have described for recovering data of an Oracle VM VirtualBox virtual machine are good for virtual machine regardless of their virtual disk format. | en | EN_3a00b329e905_SPEAKER_00 | 3.365 | |
EN_3a00b329e905_W000037 | I also recommend watching our previous videos on VMware Workstation and Microsoft Hyper-V virtual machines. You can find the links in the description of this video. | en | EN_3a00b329e905_SPEAKER_00 | 3.533 | |
EN_3a00b329e905_W000038 | That is all for now. If you like this video, hit the like button below and subscribe to our channel to see more. We'll be glad to answer any questions in comments. | en | EN_3a00b329e905_SPEAKER_00 | 3.424 | |
EN_ee935178bb20_W000000 | Hi, I'm Kelly Francis Corrado, and I am a singer, songwriter, and multi-instrumentalist. And today we're going to learn how to tune the guitar. | en | EN_ee935178bb20_SPEAKER_00 | 3.502 | |
EN_ee935178bb20_W000001 | you're going to need a guitar acoustic or electric a guitar pick | en | EN_ee935178bb20_SPEAKER_00 | 3.345 | |
EN_ee935178bb20_W000002 | and a phone and we're going to use the tuner Guitar Tuna. It's a free app. | en | EN_ee935178bb20_SPEAKER_00 | 3.369 | |
EN_ee935178bb20_W000003 | Alright, let's get started. So let's learn a little bit about what everything is on the guitar and how to use it. So first off... | en | EN_ee935178bb20_SPEAKER_00 | 3.396 | |
EN_ee935178bb20_W000004 | right here on the guitar is called the bridge and it holds the strings in place we follow the strings | en | EN_ee935178bb20_SPEAKER_00 | 3.385 | |
EN_ee935178bb20_W000005 | on the neck right here this is called the nut this also holds the strings in place this is the neck | en | EN_ee935178bb20_SPEAKER_00 | 3.339 | |
EN_ee935178bb20_W000006 | And then these little metal things up here are called the pegs. Let's learn the strings. So the first string is the E string. The second string is the A string. | en | EN_ee935178bb20_SPEAKER_00 | 3.307 | |
EN_ee935178bb20_W000007 | the third one is the D, the fourth one is the G, the fifth one is the B, and this thin one at the very end is also an E. | en | EN_ee935178bb20_SPEAKER_00 | 3.315 | |
EN_ee935178bb20_W000008 | as you can see the top string here the E string or the every time string is a little bit thicker also has | en | EN_ee935178bb20_SPEAKER_00 | 3.357 | |
EN_ee935178bb20_W000009 | a low sound. So let's follow that string all the way up the neck and find the peg that goes with it. | en | EN_ee935178bb20_SPEAKER_00 | 3.313 | |
EN_ee935178bb20_W000010 | For me, it's this one right here. Now, the pegs work like a spool of thread. When you tighten it, | en | EN_ee935178bb20_SPEAKER_00 | 3.342 | |
EN_ee935178bb20_W000011 | it gets higher. When I take it away from me or push it away from me, it goes lower. | en | EN_ee935178bb20_SPEAKER_00 | 3.459 | |
EN_ee935178bb20_W000012 | Now this is the E string, or the every string, so we're going to try and find the E to line up here on the tuner. So let's just pluck it and see where it's at. | en | EN_ee935178bb20_SPEAKER_00 | 3.368 | |
EN_ee935178bb20_W000013 | Ah, now when it's over on this side, it means the string is too low. | en | EN_ee935178bb20_SPEAKER_00 | 3.427 | |
EN_ee935178bb20_W000014 | If the line goes over this way it's too high. What we're trying to do is get the line just in the middle. | en | EN_ee935178bb20_SPEAKER_00 | 3.301 | |
EN_ee935178bb20_W000015 | So I'm gonna turn this peg towards me to tighten the string and make it higher. | en | EN_ee935178bb20_SPEAKER_00 | 3.264 | |
EN_ee935178bb20_W000016 | Keep going and go slow. It's no fun to snap a string. | en | EN_ee935178bb20_SPEAKER_00 | 3.358 | |
EN_ee935178bb20_W000017 | This app is really nice too, because it'll tell you, oh, it'll tell you right there, am I too low, too high? | en | EN_ee935178bb20_SPEAKER_00 | 3.401 | |
EN_ee935178bb20_W000018 | the green bar goes across then we know we're in we're in tune all right yay e string okay now we're going to do the next string the second string which is the a string | en | EN_ee935178bb20_SPEAKER_00 | 3.57 | |
EN_ee935178bb20_W000019 | And we're going to follow that up here to the second peg. So let's just see where it's at. | en | EN_ee935178bb20_SPEAKER_00 | 3.408 | |
EN_ee935178bb20_W000020 | It tells it's a little low, so we're going to pull this towards us. | en | EN_ee935178bb20_SPEAKER_00 | 3.268 | |
EN_ee935178bb20_W000021 | Almost there, keep going. Remember, go slow. Yay, A string. Let's double check it. | en | EN_ee935178bb20_SPEAKER_00 | 3.309 | |
EN_ee935178bb20_W000022 | That's going to go for me. That's going to go to my third peg up here. Let's let's pluck it and see where it's at. | en | EN_ee935178bb20_SPEAKER_00 | 3.298 | |
EN_ee935178bb20_W000023 | Ah, so it's a little bit this way, which means it's a little high. | en | EN_ee935178bb20_SPEAKER_00 | 3.208 | |
EN_ee935178bb20_W000024 | So we're gonna take this tuning peg and we're gonna turn it that way. Just a little bit. | en | EN_ee935178bb20_SPEAKER_00 | 3.289 | |
EN_ee935178bb20_W000025 | Yay, D-string. Let me double check. Oh, almost. | en | EN_ee935178bb20_SPEAKER_00 | 3.52 | |
EN_ee935178bb20_W000026 | Good, okay, so now we're going to the fourth string, this one, the get string, or the G string. Now on my guitar, | en | EN_ee935178bb20_SPEAKER_00 | 3.431 | |
EN_ee935178bb20_W000027 | as you can see these strings are wound this way on this side the strings are wound in reverse or the opposite so we're actually going to tune the pegs the opposite way than we have been but let me show you so let's pluck the g-string | en | EN_ee935178bb20_SPEAKER_00 | 3.385 | |
EN_ee935178bb20_W000028 | too low so let's follow this up find the correlating peg which is right here so it says it's too low so i'm going to go higher ah so when i turn it towards me | en | EN_ee935178bb20_SPEAKER_00 | 3.542 | |
EN_ee935178bb20_W000029 | As you can hear, it goes lower and it tells me to. So I want to turn it away from me. | en | EN_ee935178bb20_SPEAKER_00 | 3.364 | |
EN_ee935178bb20_W000030 | got it okay now these next strings the b and the e are thinner and not only are they thinner they're one strings if you look at these other strings they're like one with another one woven around it so these ones can take a little bit more pulling but these you have to be very careful with | en | EN_ee935178bb20_SPEAKER_00 | 3.439 | |
EN_ee935178bb20_W000031 | so we have the b string and it's telling me it's too low | en | EN_ee935178bb20_SPEAKER_00 | 3.49 | |
EN_ee935178bb20_W000032 | ah not towards me but away from me so I'm just gonna go slow with that | en | EN_ee935178bb20_SPEAKER_00 | 3.392 | |
EN_ee935178bb20_W000033 | yay b string as you can see on this app too it's super helpful it'll tell you what string that you're playing and how it's going to go in tune so let's double check that b string | en | EN_ee935178bb20_SPEAKER_00 | 3.486 | |
EN_ee935178bb20_W000034 | Good. Now, our last string, which is the high E string, which is the every time E string. | en | EN_ee935178bb20_SPEAKER_00 | 3.432 |
YodaLingua-English
YodaLingua is a high-quality speech dataset designed for training text-to-speech (TTS) systems, ASR models, and any application requiring clean, well-aligned audio–text pairs.
This release contains the English portion of the multilingual YodaLingua collection.
🧾 Dataset Overview
| Property | Value |
|---|---|
| Total clips | 42,182 audio–transcription pairs |
| Total duration | 115.1 hours |
| Speakers | 1,810 distinct speakers |
| Audio format | MP3 • mono • 24 kHz • 16-bit |
| License | Permissive — commercial use allowed |
All audio clips are noise-reduced, normalized, and matched with accurate transcriptions.
Data Fields
Each entry in the dataset contains the following fields:
| Field | Description |
|---|---|
__key__ |
Unique identifier for each sample. |
audio |
Path to the audio file associated with the sample (MP3 format). |
text |
Ground-truth transcription of the audio segment. |
language |
Language code following ISO 639 standards. |
speaker_id |
Unique identifier assigned to each speaker. Multiple audio can share the same speaker ID. |
dnsmos |
DNSMOS P.835 Overall (OVRL) score estimating perceptual speech quality; higher values indicate cleaner and more intelligible audio. |
🌍 Multilingual Versions
Other languages are available in the YodaLingua multilingual collection:
👉 https://huggingface.co/collections/Thomcles/yodalingua
We apply a multi-stage pipeline to ensure maximum data quality:
1. Standardization
- Convert to WAV
- Mono channel
- Resample to 24 kHz
- 16-bit sample width
- Normalize to –20 dBFS (with volume correction between –3 and +3 dB)
2. Noise Reduction
Advanced denoising applied to improve clarity and remove background artifacts.
3. Speaker Diarization
Segment long recordings by speaker to improve diversity and ensure speaker-consistent utterances.
4. Voice Activity Detection (VAD)
Merge consecutive VAD segments from the same speaker into clean utterances of 3–30 s.
5. Transcription
State-of-the-art ASR models produce accurate text transcripts.
6. Quality Filtering
Clips are filtered using DNSMOS P.835 OVRL; only samples with a score > 2.4 are retained.
📚 Loading the Dataset
from datasets import load_dataset
ds = load_dataset("Thomcles/YodaLingua-English")
Contact
e-mail : cyprienoucortex@gmail.com
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