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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 5 missing columns ({'uploader', 'description', 'upload_date', 'title', 'duration'})
This happened while the json dataset builder was generating data using
hf://datasets/dwb2023/yt-transcripts-v2/data/transcriptions-5760b78f-110c-4cbe-ba2a-f03efaa19339.json (at revision 02d31af25431b402f012e436b77982fa6f928ef8)
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
url: string
transcription: string
datetime: string
to
{'url': Value(dtype='string', id=None), 'transcription': Value(dtype='string', id=None), 'title': Value(dtype='string', id=None), 'duration': Value(dtype='int64', id=None), 'uploader': Value(dtype='string', id=None), 'upload_date': Value(dtype='string', id=None), 'description': Value(dtype='string', id=None), 'datetime': Value(dtype='string', 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 1323, 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 938, 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 5 missing columns ({'uploader', 'description', 'upload_date', 'title', 'duration'})
This happened while the json dataset builder was generating data using
hf://datasets/dwb2023/yt-transcripts-v2/data/transcriptions-5760b78f-110c-4cbe-ba2a-f03efaa19339.json (at revision 02d31af25431b402f012e436b77982fa6f928ef8)
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.
url string | transcription string | title string | duration int64 | uploader string | upload_date string | description string | datetime string |
|---|---|---|---|---|---|---|---|
https://www.youtube.com/live/Anr1br0lLz8?si=qz792SKvBHbY-n4N | Hey, Wiz, is there a way to know what comes out of any RAG application that we build is right or correct? Well, it's really hard to say things like it's absolutely right, it's absolutely correct, it's absolutely true. That's pretty difficult. Okay. Okay. So there's no absolutes. It's absolutely correct. It's absolutel... | RAG with LangChain v0.1 and RAG Evaluation with RAGAS (RAG ASessment) v0.1 | 3,842 | AI Makerspace | 20240207 | GPT-4 Summary: Join us for an enlightening YouTube event that delves into the critical art of evaluating and improving production Large Language Model (LLM) applications. With the rise of open-source evaluation tools like RAG Assessment (RAGAS) and built-in tools in LLM Ops platforms such as LangSmith, we're uncovering... | 2024-06-09T21:36:12.312444 |
https://www.youtube.com/live/Anr1br0lLz8?si=qz792SKvBHbY-n4N | Hey, Wiz, is there a way to know what comes out of any RAG application that we build is right or correct? Well, it's really hard to say things like it's absolutely right, it's absolutely correct, it's absolutely true. That's pretty difficult. Okay. Okay. So there's no absolutes. It's absolutely correct. It's absolutel... | RAG with LangChain v0.1 and RAG Evaluation with RAGAS (RAG ASessment) v0.1 | 3,842 | AI Makerspace | 20240207 | GPT-4 Summary: Join us for an enlightening YouTube event that delves into the critical art of evaluating and improving production Large Language Model (LLM) applications. With the rise of open-source evaluation tools like RAG Assessment (RAGAS) and built-in tools in LLM Ops platforms such as LangSmith, we're uncovering... | 2024-06-09T21:43:27.950396 |
https://www.youtube.com/watch?v=KuAn6Fy9UX4 | Welcome back to session eight. This is on embedding, fine tuning, and we're going to go ahead and see how we can do this in a tool like Lama Index. Now, this is bringing a couple of things together. We want to align ourselves to everything that we're doing here. We're going to do a quick review, review Lama Index, and... | Session 8: Fine-Tuning Embedding Models for RAG Systems | 946 | AI Makerspace | 20231204 | What you'll learn this session:
- How to tune open-source embedding models to align with specialized language, like that used for research
Speakers:
Dr. Greg Loughnane, Founder & CEO AI Makerspace.
https://www.linkedin.com/in/greglough...
Chris Alexiuk, CTO AI Makerspace.
https://www.linkedin.com/in/csalexiuk/
Appl... | 2024-06-09T21:10:45.244781 |
https://www.youtube.com/live/Anr1br0lLz8?si=qz792SKvBHbY-n4N | Hey, Wiz, is there a way to know what comes out of any RAG application that we build is right or correct? Well, it's really hard to say things like it's absolutely right, it's absolutely correct, it's absolutely true. That's pretty difficult. Okay. Okay. So there's no absolutes. It's absolutely correct. It's absolutel... | RAG with LangChain v0.1 and RAG Evaluation with RAGAS (RAG ASessment) v0.1 | 3,842 | AI Makerspace | 20240207 | GPT-4 Summary: Join us for an enlightening YouTube event that delves into the critical art of evaluating and improving production Large Language Model (LLM) applications. With the rise of open-source evaluation tools like RAG Assessment (RAGAS) and built-in tools in LLM Ops platforms such as LangSmith, we're uncovering... | 2024-06-09T21:25:23.164053 |
https://www.youtube.com/watch?v=EeZIKQmWSXg | " Hey, Wiz. So if I'm a super beginner trying to get into fine tuning, should I use Hugging Face and(...TRUNCATED) | null | null | null | null | null | 2024-06-09T19:20:46.574940 |
https://www.youtube.com/watch?v=Anr1br0lLz8 | " Hey, Wiz, is there a way to know what comes out of any RAG application that we build is right or c(...TRUNCATED) | RAG with LangChain v0.1 and RAG Evaluation with RAGAS (RAG ASessment) v0.1 | 3,842 | AI Makerspace | 20240207 | "GPT-4 Summary: Join us for an enlightening YouTube event that delves into the critical art of evalu(...TRUNCATED) | 2024-06-09T21:02:21.809985 |
https://www.youtube.com/live/XOb-djcw6hs | " Hey Chris, is it true that we can improve on our PEFT-LORA approach with this quantization thing? (...TRUNCATED) | null | null | null | null | null | 2024-06-09T20:04:44.501496 |
https://www.youtube.com/live/XOb-djcw6hs | " Hey Chris, is it true that we can improve on our PEFT-LORA approach with this quantization thing? (...TRUNCATED) | Fine-tuning with QLoRA (Quantized Low-Rank Adaptation) | 3,710 | AI Makerspace | 20240111 | "GPT-4 Summary: Discover how to supercharge your LLM application development by mastering quantiz(...TRUNCATED) | 2024-06-09T20:46:24.159829 |
https://www.youtube.com/live/XOb-djcw6hs | " Hey Chris, is it true that we can improve on our PEFT-LORA approach with this quantization thing? (...TRUNCATED) | null | null | null | null | null | 2024-06-09T19:37:57.768795 |
https://www.youtube.com/watch?v=EeZIKQmWSXg | " Hey, whiz. Hey Wiz, so if I'm a super beginner trying to get into fine-tuning, should I use Huggin(...TRUNCATED) | null | null | null | null | null | 2024-06-09T20:20:27.378549 |
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