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It's crazy times we're living through, right?
Between geopolitics, climate change, and AI, our world is rapidly changing.
We all feel it.
And I can't help but think that this moment of disruption is ripe for creating the kind of change we really want for our planet and our people.
Big, uncomfortable change is here.
It's happening.
So how do we stay solid, informed, and engaged whilst milking all the goodness we can from this amazing life?
This is Conversations with Lisa, this moment in time.
And I am Lisa Cordoff.
Alright. Another episode of the podcast, and I'm gonna start today with a conversation that I had with an Uber driver last night.
And the fact that I have already recorded this episode I actually recorded it in two parts, and I've I've ditched it.
Because <chuckle> this Uber conversation absolutely epitomized why this is really, really important for us to talk about.
So I was in the Uber.
It was a shockingly bad night weather wise in Melbourne, and I was trying to get into the city.
It was I was probably in a in that Uber for an hour for what should have been a twenty minute Uber drive.
So there I was thinking, great.
We're just stuck in this really terrible traffic.
So I was, yeah, have a little chat.
And, wow, that conversation went in a lot of different directions.
My new friend, has two sons.
You know, he was very proud to tell me that they were at university, and he told me what they were going to be studying.
And one was sort of it was data sets or data science or something.
And then the other one was studying accounting.
And I was like, accounting?
I don't know how long that degree is.
I'd say minimum three years.
In my mind, I was like, would would I be encouraging my child to become an accountant?
Just in terms of, like, AI <gasp> and where technology is going <grasp> because I genuinely think all the time, like, I wonder what sort of jobs my kids are going to be doing. <gasp>
What I'll be doing, to be honest, um, in in, you know, three or four years time, my first child will finish school in in four years.
Okay. I wonder what they'll be doing.
What what accounting be something that you'd be thinking that's definitely something that's going to be needed into the future. <grasp>
And so anyway, I just I was asking him more questions, and the conversation went in all sorts of directions.
I mean, we were talking <gasp> Putin and Trump and the Mongols.
I look.
I could tell you all the reasons why we ended up in all these different places, <gasp> but here's the crux of it.
This guy, he is his children are first generation Australian.
He is Indian <gasp> born, and he's been here for about thirty years.
And and he was talking about the craziness in the world and how, basically, we're just we're watching the collapse of of The US.
And he's like, you know, civilizations collapse.
It's what happens.
Like, history shows us this.
This is just a conversation I was having with this Uber driver whose job, he works at a milk factory.
He's sort of in charge of the factory and making sure that the milk is safe and healthy and is, you know, splitting correctly and all the, you know, the pasteurization stuff.
Fascinating conversation.
<gasp> And and I said, yeah.
But, you know, we're so global these days that a collapse of of The US, especially, you know, for the developed world, the it's all of us.
Like, what's and, you know, <gasp> and he's like, no.
No. No.
No. No.
And he was then talking about, China and Russia.
He was talking all about why he believes Trump is trying to be friends with with Putin because he's like, well, he's exhausted all of the markets that American products can be sold to.
He's a businessman.
He's looking at this untapped resource of Russia. <gasp>
And I was like, far out, this is just this is wild.
But that it's crumbling like that.
This is that we are seeing a demise here.
But he doesn't think it's a demise of capitalism per se, you know, and and we're all going down or, you know, this is a a a global kind of collapse.
He he absolutely thinks it's going to be, you know, centered on on The US, and it's gonna be interesting to see the ripple effects, but there won't be ripple effects everywhere. <gasp>
And I was like, okay.
And he said, because capitalism will survive.
Nature is capitalism.
I'm like, offf, oh, you know, tell me more about that.
And we're having these great chats.
And I said, what you're not talking about is, yeah, this extractive nature of this continuous growth cycle.
It has limits.
This is a this is not a a lesser perspective.
This is like a a proven sort of thing.
And and look at the impact that it's having on the planet.
And it was kind of quiet.
And I said, climate change is a thing.
It's going to affect everyone.
There will be nowhere that you can escape the impacts of climate change.
And he's like, oh, well, yes, that's something else entirely.
I'm like, but it's actually really not because what's happening with the climate is happening in tandem with the current state of geopolitics, with the rise of AI and stripping out millions of jobs over the next few years.
Like, it's all happening.
It's all happening together.
And climate is a huge, huge driver of the disruption that we're going to be seeing more and more of.
He's like, not in not in our lifetime.
I'm like, mate.
I think you're wrong.
And I think that you need to sort of check out the information out there right now because when people, you know, cannot access basic food sources and all of that sort of stuff, it's gonna change a lot of things. <gasp>
And I said it won't be when we're actually feeling like New York's underwater, that the disruption when people realize that this is something that is actually quite real.
But that level of disruption and and movement and and change is going to cause massive ripple effects.. globally.
And he kinda couldn't meet me in that argument Well, maybe there because I feel like this is the thing that we with any type of conversation, we look at the headlines, you know, conversation about what's happening in the world right now.
We just we seek out the headlines.
We follow the the the news, whichever wherever you get your news, <gasp> and that informs us.
And the problem with the the climate movement has been it is just notoriously hard for it to get the airtime required.
And people look like radicals when they just actually sharing the science.
It was just so this guy was so informed about so many things, and yet <gasp> climate was just kind of this like, blah, <gasp> And so this is what I wanted to talk about today.
Last year, I realized as I was just starting to open up and listen to what was going on in the world again, <gasp> that the train has really left the station with these two important disruptive factors.
I I I literally cannot pretend that I know enough ins and outs and can follow what's going on in the international community in lots of different ways.
I mean, it is dynamic.
We don't really know what's happening.
We will never actually really know what's happening.
But I'm fascinated by it, and I'm willing to have some conversations about it.
But it's what I feel like I I'm watching is this final tantrum, almost, of patriarchy and capitalism.
Like, it's just like, we will not go down.
I'm not tired, and and it's causing chaos.
Right? But there's these two areas that I absolutely I just I hadn't realized until I started to look at it last year that the train has really left the station in terms of where we're at climate wise, like, the trajectory for warming on our planet and with AI.
And so I thought, let's just talk about this so we can I'll give you my understanding and where it came from so that you can see how I've come to this like, the hell have I been?

End of preview. Expand in Data Studio

Orpheus TTS Dataset

This dataset is prepared for training Orpheus TTS models.

Dataset Information

Total samples: 429
Audio sampling rate: 44100 Hz
Format: Single-speaker TTS dataset with 'text' and 'audio' columns

This dataset is specifically formatted for Orpheus TTS single-speaker models. It includes:

Text content in the 'text' column
Audio files properly structured for training

Dataset Structure

The dataset is provided in multiple formats:

metadata.json: Contains text and paths to audio files
metadata.csv: CSV version with file_name and text columns
train/: Directory containing all audio files

Usage with Orpheus TTS

Method 1: Using the helper script

# Run the load_dataset.py script in this directory
from load_dataset import dataset

# The dataset is already processed and ready to use
print(len(dataset))

Method 2: Loading manually in your training script

import json
from datasets import Dataset, Audio

# Load metadata
with open("metadata.json", "r", encoding="utf-8") as f:
    metadata = json.load(f)

# Create dataset
dataset = Dataset.from_dict({
    "text": metadata["text"],
    "audio": metadata["audio"]
})

# Process audio files
dataset = dataset.cast_column("audio", Audio())

For more details, see the original Orpheus TTS training script.

Downloads last month: 6

Size of downloaded dataset files:

17.1 MB

Size of the auto-converted Parquet files:

17.1 MB

Number of rows:

429