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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 1 new columns ({'video_title'})

This happened while the csv dataset builder was generating data using

hf://datasets/Stevross/davidshapiro_youtube_transcripts/DavidShapiro_all_transcripts.csv (at revision 7e5e5f778b9d0861157397377577d96ee94746d1)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              text: string
              start: double
              duration: double
              video_title: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 721
              to
              {'text': Value(dtype='string', id=None), 'start': Value(dtype='float64', id=None), 'duration': Value(dtype='float64', id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1321, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 1 new columns ({'video_title'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Stevross/davidshapiro_youtube_transcripts/DavidShapiro_all_transcripts.csv (at revision 7e5e5f778b9d0861157397377577d96ee94746d1)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

text
string
start
float64
duration
float64
what is up everybody David Shapiro here
0.84
6.36
with a video so
3.959
5.281
um my videos are probably gonna change
7.2
3.24
tone
9.24
4.439
um just because the the the landscape is
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5.699
changing really fast so you'll probably
13.679
4.741
see me doing less coding except for
16.139
3.541
every now and then when I have something
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3.48
to demonstrate but the news is changing
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4.92
so fast and most of the questions that I
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4.92
get now are people just asking me what
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5.099
the heck is going on so our first what
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5.16
the heck is going on with AI video is
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6.061
today Saturday morning on March 25th
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6.96
um I got access to Adobe Firefly
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5.04
um oh and to give you what to expect for
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3.66
the rest of the video I'll review a few
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3.72
tools and then I'll give you some
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3.54
examples of the research that I'm doing
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4.379
so my research is pivoting away from the
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4.38
coding and more to the science and
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3.061
naming things and I'll explain that when
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3.18
we get to it but anyways we're going to
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4.38
review five of the most powerful tools
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6.48
that I have seen uh so far lately and
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5.58
then we'll pivot to to these to those
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5.4
conversations so Adobe Firefly
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6
um all pretty much everyone has seen you
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4.5
know text to image lately
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4.62
um but of course Adobe is um you know
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4.26
they've been the leader like one of the
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3.54
world leaders in terms of media
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5.04
generation Adobe is working on text to
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6.899
sound uh text to video uh video to sound
79.38
6
all kinds of stuff so I have no doubt
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5.46
that on in in the multimedia landscape
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5.4
Adobe is probably going to pull ahead
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5.701
very quickly especially since they are
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5.4
you know they've got Adobe Premiere
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4.74
Adobe studio Adobe Photoshop like they
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4.86
have just such a huge
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4.379
um library of tools that they can go
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3.66
ahead and integrate
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4.381
so I suspect that adobe is going to be
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5.34
at the top like look at this like this
107.64
4.2
looks like a real photo of an engine
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3.899
like if you look closely you can see
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3.84
some artifacts that are like okay that
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3.781
doesn't quite look right like you know
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4.439
what is this part here that shape is not
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4.679
quite what you'd expect but still it's
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4.201
pretty darn convincing
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2.881
um and it's only going to get better
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3.36
because this is still in beta
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5.819
um so uh the text to image now another
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5.88
thing that adobe Firefly has is text
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5.701
effects so you can get text of any like
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6.42
size and shape and so what I did what I
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7.74
I did like uh cognitive architecture and
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6
it's it's really limited I don't know
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2.88
why but they've only give you like 15
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4.32
characters and then you can say like
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8.58
um uh let's see steampunk and Fire
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7.86
um and it will generate like any style
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4.02
of text that you want
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4.14
um and it's super easy super fast super
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3.9
useful
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3.96
um so you can do like flaming steampunk
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4.8
letters it's pretty cool can I zoom in
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4.559
no I cannot
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4.44
um if I download it I probably can show
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4.14
you let me see
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4.38
and right now they add this like little
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5.221
Annoying like Watermark but here look
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5.94
you can see that like I I the the font
180.18
6.66
is preset but the graphical style is
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6.72
just instant so that's pretty useful
186.84
5.1
um in fact I'll probably be using this
190.2
4.08
for all of my YouTube thumbnails from
191.94
5.1
now on because it looks really cool
194.28
4.62
um but yeah so that's Adobe Firefly
197.04
4.919
definitely recommend signing up the beta
198.9
6.119
is free right now which is incredible
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4.741
um because I'm a because I'm a full-time
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5.401
YouTuber I I will I would pay for this
206.7
6.119
um I have seen some people using there's
210.42
6.62
there's a rumored like Dolly 2 version
212.819
7.861
2.2 or Dolly three coming out but I
217.04
5.02
don't know
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2.339
um
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3.3
because like I don't know if it's people
223.019
5.22
just like remixing mid-journey and
225.36
5.159
stable diffusion or what but anyways
228.239
5.761
point being this is ramping up quickly I
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5.161
suspect that by this time next year
234
3.959
Adobe and others are going to have like
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5.1
fully fledged text to video you can make
237.959
5.7
your own movie at home just by giving it
240.78
5.22
a a screenplay we're probably going to
243.659
4.381
need a new format of screenplays because
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3.72
End of preview.