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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 |
End of preview.