khulnasoft/cm-notebooks
Updated
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 3 new columns ({'context_type', 'context', 'context_id'}) and 2 missing columns ({'query', 'query_id'}).
This happened while the json dataset builder was generating data using
hf://datasets/khulnasoft/duo-chat-evaluation/data/duo_chat/v1/jsonl/context/b35050edc0f74974b90a5bd12813523d.jsonl (at revision 0d914ece246b878bd25c08874ce76931781ff908)
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
context_id: string
context: string
context_type: string
to
{'query_id': Value(dtype='string', id=None), 'query': 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 1577, 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 1191, 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 3 new columns ({'context_type', 'context', 'context_id'}) and 2 missing columns ({'query', 'query_id'}).
This happened while the json dataset builder was generating data using
hf://datasets/khulnasoft/duo-chat-evaluation/data/duo_chat/v1/jsonl/context/b35050edc0f74974b90a5bd12813523d.jsonl (at revision 0d914ece246b878bd25c08874ce76931781ff908)
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.
query_id string | query string |
|---|---|
9fac71b7575041cca8519da583e6aee7 | Can you write Python code that sums up two numbers? |
7ed54c92d0b5490eb547bcb957c548df | write me python code to query the rest api server at example.com/api |
18d84a973bf54d0f8b3695748c4a2ced | Write a PHP script that finds 4 hours in a run of sunny weather |
dc992a57ecef4902bee4daf61baea4cb | can you write the regex that will match any value with "pg" in it, "postgres" or "patroni" |
794e34170ecf4dadae439433ef7883c3 | can you make a mermaid diagram where there is a central box or square with a specific title, two arrows pointing at the box as an input and one arrow getting out the box as an output |
19ab19f137b64cc689599376692285f9 | How do I create a new Next JS application named nextjs-support-portal with tailwindcss? |
9f01fb5f9c7c4c4ba4455209cbdb07f9 | Create a login page using Next.js, typescript, and tailwindcss |
3e627b091d9c49f69685313007b71fad | Share a gitlab-ci.yml file to cache node files |
da9a496741c243e0812be5b018be3bbf | Write a .gitlab-ci.yml file to test, build and and deploy a javascript application to AWS EC2 |
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YAML Metadata Warning: empty or missing yaml metadata in repo card
Check out the documentation for more information.
This repo contains datasets used to evaluate the quality of AI features we are developing at GitLab.
We follow a similar approach to HuggingFace and store the datasets as LFS objects under the data folder.
| Field name | Type | Additional notes |
|---|---|---|
context_id |
STRING | Valid UUIDs, generated as uuid4().hex in Python |
context |
STRING | JSON string describing one of the GitLab resources |
context_type |
STRING | GitLab resource type, either issue or epic |
referer_url |
STRING, NULLABLE | Not used in this iteration, added for Chat API compatibility |
| Field name | Type | Additional notes |
|---|---|---|
query_id |
STRING | Valid UUIDs, generated as uuid4().hex in Python |
query |
STRING | User query submitted to Duo Chat |
context |
STRING | JSON string describing one of the GitLab resources |
resource_id |
INT, NULLABLE | GitLab global resource identifier |
resource_type |
STRING | GitLab resource type, either issue or epic |
referer_url |
STRING, NULLABLE | Not used in this iteration, added for Chat API compatibility |
| Field name | Type | Additional notes |
|---|---|---|
query_id |
STRING | Valid UUIDs, generated as uuid4().hex in Python |
query |
STRING | User query submitted to Duo Chat |
Refer to a specific commit SHA1 if you need to get a concrete revision of the dataset.
GIT_LFS_SKIP_SMUDGE=1 git clone $URL
git reset --hard $SHA1
git lfs pull