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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
| 10.44
| 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
| 18.42
| 3.48
|
to demonstrate but the news is changing
| 19.68
| 4.92
|
so fast and most of the questions that I
| 21.9
| 4.92
|
get now are people just asking me what
| 24.6
| 5.099
|
the heck is going on so our first what
| 26.82
| 5.16
|
the heck is going on with AI video is
| 29.699
| 6.061
|
today Saturday morning on March 25th
| 31.98
| 6.96
|
um I got access to Adobe Firefly
| 35.76
| 5.04
|
um oh and to give you what to expect for
| 38.94
| 3.66
|
the rest of the video I'll review a few
| 40.8
| 3.72
|
tools and then I'll give you some
| 42.6
| 3.54
|
examples of the research that I'm doing
| 44.52
| 4.379
|
so my research is pivoting away from the
| 46.14
| 4.38
|
coding and more to the science and
| 48.899
| 3.061
|
naming things and I'll explain that when
| 50.52
| 3.18
|
we get to it but anyways we're going to
| 51.96
| 4.38
|
review five of the most powerful tools
| 53.7
| 6.48
|
that I have seen uh so far lately and
| 56.34
| 5.58
|
then we'll pivot to to these to those
| 60.18
| 5.4
|
conversations so Adobe Firefly
| 61.92
| 6
|
um all pretty much everyone has seen you
| 65.58
| 4.5
|
know text to image lately
| 67.92
| 4.62
|
um but of course Adobe is um you know
| 70.08
| 4.26
|
they've been the leader like one of the
| 72.54
| 3.54
|
world leaders in terms of media
| 74.34
| 5.04
|
generation Adobe is working on text to
| 76.08
| 6.899
|
sound uh text to video uh video to sound
| 79.38
| 6
|
all kinds of stuff so I have no doubt
| 82.979
| 5.46
|
that on in in the multimedia landscape
| 85.38
| 5.4
|
Adobe is probably going to pull ahead
| 88.439
| 5.701
|
very quickly especially since they are
| 90.78
| 5.4
|
you know they've got Adobe Premiere
| 94.14
| 4.74
|
Adobe studio Adobe Photoshop like they
| 96.18
| 4.86
|
have just such a huge
| 98.88
| 4.379
|
um library of tools that they can go
| 101.04
| 3.66
|
ahead and integrate
| 103.259
| 4.381
|
so I suspect that adobe is going to be
| 104.7
| 5.34
|
at the top like look at this like this
| 107.64
| 4.2
|
looks like a real photo of an engine
| 110.04
| 3.899
|
like if you look closely you can see
| 111.84
| 3.84
|
some artifacts that are like okay that
| 113.939
| 3.781
|
doesn't quite look right like you know
| 115.68
| 4.439
|
what is this part here that shape is not
| 117.72
| 4.679
|
quite what you'd expect but still it's
| 120.119
| 4.201
|
pretty darn convincing
| 122.399
| 2.881
|
um and it's only going to get better
| 124.32
| 3.36
|
because this is still in beta
| 125.28
| 5.819
|
um so uh the text to image now another
| 127.68
| 5.88
|
thing that adobe Firefly has is text
| 131.099
| 5.701
|
effects so you can get text of any like
| 133.56
| 6.42
|
size and shape and so what I did what I
| 136.8
| 7.74
|
I did like uh cognitive architecture and
| 139.98
| 6
|
it's it's really limited I don't know
| 144.54
| 2.88
|
why but they've only give you like 15
| 145.98
| 4.32
|
characters and then you can say like
| 147.42
| 8.58
|
um uh let's see steampunk and Fire
| 150.3
| 7.86
|
um and it will generate like any style
| 156
| 4.02
|
of text that you want
| 158.16
| 4.14
|
um and it's super easy super fast super
| 160.02
| 3.9
|
useful
| 162.3
| 3.96
|
um so you can do like flaming steampunk
| 163.92
| 4.8
|
letters it's pretty cool can I zoom in
| 166.26
| 4.559
|
no I cannot
| 168.72
| 4.44
|
um if I download it I probably can show
| 170.819
| 4.14
|
you let me see
| 173.16
| 4.38
|
and right now they add this like little
| 174.959
| 5.221
|
Annoying like Watermark but here look
| 177.54
| 5.94
|
you can see that like I I the the font
| 180.18
| 6.66
|
is preset but the graphical style is
| 183.48
| 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
| 201.959
| 4.741
|
um because I'm a because I'm a full-time
| 205.019
| 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
| 220.68
| 2.339
|
um
| 222.06
| 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
| 230.519
| 5.161
|
suspect that by this time next year
| 234
| 3.959
|
Adobe and others are going to have like
| 235.68
| 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
| 246
| 3.72
|
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