Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type timestamp[s] to null
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 2261, in cast_table_to_schema
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in <listcomp>
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in <listcomp>
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2020, in cast_array_to_feature
arrays = [_c(array.field(name), subfeature) for name, subfeature in feature.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2020, in <listcomp>
arrays = [_c(array.field(name), subfeature) for name, subfeature in feature.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1804, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2116, in cast_array_to_feature
return array_cast(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1804, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1962, in array_cast
raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
TypeError: Couldn't cast array of type timestamp[s] to null
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1529, 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 1154, 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 2038, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
state
string | user
dict | body
string | state_reason
null | assignees
list | comments
string | timeline_url
string | reactions
dict | updated_at
timestamp[us] | number
int64 | draft
bool | pull_request
dict | labels
list | labels_url
string | closed_at
timestamp[us] | created_at
timestamp[us] | performed_via_github_app
null | id
int64 | events_url
string | repository_url
string | locked
bool | assignee
dict | comments_url
string | milestone
null | active_lock_reason
null | node_id
string | url
string | author_association
string | html_url
string | title
string | is_pull_request
bool |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
open
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/16933298?v=4",
"events_url": "https://api.github.com/users/scruel/events{/privacy}",
"followers_url": "https://api.github.com/users/scruel/followers",
"following_url": "https://api.github.com/users/scruel/following{/other_user}",
"gists_url": "https://api.github.com/users/scruel/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/scruel",
"id": 16933298,
"login": "scruel",
"node_id": "MDQ6VXNlcjE2OTMzMjk4",
"organizations_url": "https://api.github.com/users/scruel/orgs",
"received_events_url": "https://api.github.com/users/scruel/received_events",
"repos_url": "https://api.github.com/users/scruel/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/scruel/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/scruel/subscriptions",
"type": "User",
"url": "https://api.github.com/users/scruel"
}
|
### Describe the bug
Will unexpected get keys with `None` value in the parsed json dict.
### Steps to reproduce the bug
```jsonl test.jsonl
{"id": 0, "indexs": {"-1": [0, 10]}}
{"id": 1, "indexs": {"-1": [0, 10]}}
```
```python
dataset = Dataset.from_json('.test.jsonl')
print(dataset[0])
```
Result:
```
{'id': 0, 'indexs': {'-1': [...], '-2': None, '-3': None, '-4': None, '-5': None, '-6': None, '-7': None, '-8': None, '-9': None, ...}}
```
Those keys with `None` value will unexpected appear in the dict.
### Expected behavior
Result should be
```
{'id': 0, 'indexs': {'-1': [0, 10]}}
```
### Environment info
- `datasets` version: 2.16.1
- Platform: Linux-6.5.0-14-generic-x86_64-with-glibc2.35
- Python version: 3.11.6
- `huggingface_hub` version: 0.20.2
- PyArrow version: 14.0.2
- Pandas version: 2.1.4
- `fsspec` version: 2023.10.0
| null |
[] |
### Describe the bug
Will unexpected get keys with `None` value in the parsed json dict.
### Steps to reproduce the bug
```jsonl test.jsonl
{"id": 0, "indexs": {"-1": [0, 10]}}
{"id": 1, "indexs": {"-1": [0, 10]}}
```
```python
dataset = Dataset.from_json('.test.jsonl')
print(dataset[0])
```
Result:
```
{'id': 0, 'indexs': {'-1': [...], '-2': None, '-3': None, '-4': None, '-5': None, '-6': None, '-7': None, '-8': None, '-9': None, ...}}
```
Those keys with `None` value will unexpected appear in the dict.
### Expected behavior
Result should be
```
{'id': 0, 'indexs': {'-1': [0, 10]}}
```
### Environment info
- `datasets` version: 2.16.1
- Platform: Linux-6.5.0-14-generic-x86_64-with-glibc2.35
- Python version: 3.11.6
- `huggingface_hub` version: 0.20.2
- PyArrow version: 14.0.2
- Pandas version: 2.1.4
- `fsspec` version: 2023.10.0
|
https://api.github.com/repos/huggingface/datasets/issues/6699/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6699/reactions"
}
| 2024-02-28T05:30:10 | 6,699 | null | null |
[] |
https://api.github.com/repos/huggingface/datasets/issues/6699/labels{/name}
| null | 2024-02-28T05:30:10 | null | 2,158,152,341 |
https://api.github.com/repos/huggingface/datasets/issues/6699/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6699/comments
| null | null |
I_kwDODunzps6AosqV
|
https://api.github.com/repos/huggingface/datasets/issues/6699
|
NONE
|
https://github.com/huggingface/datasets/issues/6699
|
`Dataset` changed dict data and may cause memory leak
| false |
closed
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/mariosasko",
"id": 47462742,
"login": "mariosasko",
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"type": "User",
"url": "https://api.github.com/users/mariosasko"
}
|
Pass `detail=False` to the `fsspec` `listdir` to avoid unnecessarily fetching expensive metadata about the paths.
| null |
[] |
Pass `detail=False` to the `fsspec` `listdir` to avoid unnecessarily fetching expensive metadata about the paths.
|
https://api.github.com/repos/huggingface/datasets/issues/6698/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6698/reactions"
}
| 2024-02-27T23:44:49 | 6,698 | false |
{
"diff_url": "https://github.com/huggingface/datasets/pull/6698.diff",
"html_url": "https://github.com/huggingface/datasets/pull/6698",
"merged_at": "2024-02-27T23:38:14",
"patch_url": "https://github.com/huggingface/datasets/pull/6698.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/6698"
}
|
[] |
https://api.github.com/repos/huggingface/datasets/issues/6698/labels{/name}
| 2024-02-27T23:38:14 | 2024-02-27T22:55:08 | null | 2,157,752,392 |
https://api.github.com/repos/huggingface/datasets/issues/6698/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6698/comments
| null | null |
PR_kwDODunzps5oG6Xt
|
https://api.github.com/repos/huggingface/datasets/issues/6698
|
CONTRIBUTOR
|
https://github.com/huggingface/datasets/pull/6698
|
Faster `xlistdir`
| true |
open
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/97465624?v=4",
"events_url": "https://api.github.com/users/vrunm/events{/privacy}",
"followers_url": "https://api.github.com/users/vrunm/followers",
"following_url": "https://api.github.com/users/vrunm/following{/other_user}",
"gists_url": "https://api.github.com/users/vrunm/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/vrunm",
"id": 97465624,
"login": "vrunm",
"node_id": "U_kgDOBc81GA",
"organizations_url": "https://api.github.com/users/vrunm/orgs",
"received_events_url": "https://api.github.com/users/vrunm/received_events",
"repos_url": "https://api.github.com/users/vrunm/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/vrunm/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/vrunm/subscriptions",
"type": "User",
"url": "https://api.github.com/users/vrunm"
}
|
### Describe the bug
Having installed the latest versions of transformers==4.38.1 and datasets==2.17.1 Unable to load the dataset in a kaggle notebook.
Get this Error:
```
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[8], line 3
1 from datasets import load_dataset
----> 3 dataset = load_dataset("llm-blender/mix-instruct")
File /opt/conda/lib/python3.10/site-packages/datasets/load.py:1664, in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, ignore_verifications, keep_in_memory, save_infos, revision, use_auth_token, task, streaming, **config_kwargs)
1661 ignore_verifications = ignore_verifications or save_infos
1663 # Create a dataset builder
-> 1664 builder_instance = load_dataset_builder(
1665 path=path,
1666 name=name,
1667 data_dir=data_dir,
1668 data_files=data_files,
1669 cache_dir=cache_dir,
1670 features=features,
1671 download_config=download_config,
1672 download_mode=download_mode,
1673 revision=revision,
1674 use_auth_token=use_auth_token,
1675 **config_kwargs,
1676 )
1678 # Return iterable dataset in case of streaming
1679 if streaming:
File /opt/conda/lib/python3.10/site-packages/datasets/load.py:1490, in load_dataset_builder(path, name, data_dir, data_files, cache_dir, features, download_config, download_mode, revision, use_auth_token, **config_kwargs)
1488 download_config = download_config.copy() if download_config else DownloadConfig()
1489 download_config.use_auth_token = use_auth_token
-> 1490 dataset_module = dataset_module_factory(
1491 path,
1492 revision=revision,
1493 download_config=download_config,
1494 download_mode=download_mode,
1495 data_dir=data_dir,
1496 data_files=data_files,
1497 )
1499 # Get dataset builder class from the processing script
1500 builder_cls = import_main_class(dataset_module.module_path)
File /opt/conda/lib/python3.10/site-packages/datasets/load.py:1242, in dataset_module_factory(path, revision, download_config, download_mode, force_local_path, dynamic_modules_path, data_dir, data_files, **download_kwargs)
1237 if isinstance(e1, FileNotFoundError):
1238 raise FileNotFoundError(
1239 f"Couldn't find a dataset script at {relative_to_absolute_path(combined_path)} or any data file in the same directory. "
1240 f"Couldn't find '{path}' on the Hugging Face Hub either: {type(e1).__name__}: {e1}"
1241 ) from None
-> 1242 raise e1 from None
1243 else:
1244 raise FileNotFoundError(
1245 f"Couldn't find a dataset script at {relative_to_absolute_path(combined_path)} or any data file in the same directory."
1246 )
File /opt/conda/lib/python3.10/site-packages/datasets/load.py:1230, in dataset_module_factory(path, revision, download_config, download_mode, force_local_path, dynamic_modules_path, data_dir, data_files, **download_kwargs)
1215 return HubDatasetModuleFactoryWithScript(
1216 path,
1217 revision=revision,
(...)
1220 dynamic_modules_path=dynamic_modules_path,
1221 ).get_module()
1222 else:
1223 return HubDatasetModuleFactoryWithoutScript(
1224 path,
1225 revision=revision,
1226 data_dir=data_dir,
1227 data_files=data_files,
1228 download_config=download_config,
1229 download_mode=download_mode,
-> 1230 ).get_module()
1231 except Exception as e1: # noqa: all the attempts failed, before raising the error we should check if the module is already cached.
1232 try:
File /opt/conda/lib/python3.10/site-packages/datasets/load.py:846, in HubDatasetModuleFactoryWithoutScript.get_module(self)
836 token = self.download_config.use_auth_token
837 hfh_dataset_info = HfApi(config.HF_ENDPOINT).dataset_info(
838 self.name,
839 revision=self.revision,
840 token=token,
841 timeout=100.0,
842 )
843 patterns = (
844 sanitize_patterns(self.data_files)
845 if self.data_files is not None
--> 846 else get_patterns_in_dataset_repository(hfh_dataset_info)
847 )
848 data_files = DataFilesDict.from_hf_repo(
849 patterns,
850 dataset_info=hfh_dataset_info,
851 allowed_extensions=ALL_ALLOWED_EXTENSIONS,
852 )
853 infered_module_names = {
854 key: infer_module_for_data_files(data_files_list, use_auth_token=self.download_config.use_auth_token)
855 for key, data_files_list in data_files.items()
856 }
File /opt/conda/lib/python3.10/site-packages/datasets/data_files.py:471, in get_patterns_in_dataset_repository(dataset_info)
469 resolver = partial(_resolve_single_pattern_in_dataset_repository, dataset_info)
470 try:
--> 471 return _get_data_files_patterns(resolver)
472 except FileNotFoundError:
473 raise FileNotFoundError(
474 f"The dataset repository at '{dataset_info.id}' doesn't contain any data file."
475 ) from None
File /opt/conda/lib/python3.10/site-packages/datasets/data_files.py:99, in _get_data_files_patterns(pattern_resolver)
97 try:
98 for pattern in patterns:
---> 99 data_files = pattern_resolver(pattern)
100 if len(data_files) > 0:
101 non_empty_splits.append(split)
File /opt/conda/lib/python3.10/site-packages/datasets/data_files.py:303, in _resolve_single_pattern_in_dataset_repository(dataset_info, pattern, allowed_extensions)
301 data_files_ignore = FILES_TO_IGNORE
302 fs = HfFileSystem(repo_info=dataset_info)
--> 303 glob_iter = [PurePath(filepath) for filepath in fs.glob(PurePath(pattern).as_posix()) if fs.isfile(filepath)]
304 matched_paths = [
305 filepath
306 for filepath in glob_iter
307 if filepath.name not in data_files_ignore and not filepath.name.startswith(".")
308 ]
309 if allowed_extensions is not None:
File /opt/conda/lib/python3.10/site-packages/fsspec/spec.py:606, in AbstractFileSystem.glob(self, path, maxdepth, **kwargs)
602 depth = None
604 allpaths = self.find(root, maxdepth=depth, withdirs=True, detail=True, **kwargs)
--> 606 pattern = glob_translate(path + ("/" if ends_with_sep else ""))
607 pattern = re.compile(pattern)
609 out = {
610 p: info
611 for p, info in sorted(allpaths.items())
(...)
618 )
619 }
File /opt/conda/lib/python3.10/site-packages/fsspec/utils.py:734, in glob_translate(pat)
732 continue
733 elif "**" in part:
--> 734 raise ValueError(
735 "Invalid pattern: '**' can only be an entire path component"
736 )
737 if part:
738 results.extend(_translate(part, f"{not_sep}*", not_sep))
ValueError: Invalid pattern: '**' can only be an entire path component
```
```
After loading this dataset
### Steps to reproduce the bug
```
from datasets import load_dataset
dataset = load_dataset("llm-blender/mix-instruct")
```
### Expected behavior
The dataset should load with desired split.
### Environment info
- `datasets` version: 2.17.1
- Platform: Linux-5.15.133+-x86_64-with-glibc2.31
- Python version: 3.10.13
- `huggingface_hub` version: 0.20.3
- PyArrow version: 15.0.0
- Pandas version: 2.2.0
- `fsspec` version: 2023.10.0
| null |
[] |
### Describe the bug
Having installed the latest versions of transformers==4.38.1 and datasets==2.17.1 Unable to load the dataset in a kaggle notebook.
Get this Error:
```
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[8], line 3
1 from datasets import load_dataset
----> 3 dataset = load_dataset("llm-blender/mix-instruct")
File /opt/conda/lib/python3.10/site-packages/datasets/load.py:1664, in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, ignore_verifications, keep_in_memory, save_infos, revision, use_auth_token, task, streaming, **config_kwargs)
1661 ignore_verifications = ignore_verifications or save_infos
1663 # Create a dataset builder
-> 1664 builder_instance = load_dataset_builder(
1665 path=path,
1666 name=name,
1667 data_dir=data_dir,
1668 data_files=data_files,
1669 cache_dir=cache_dir,
1670 features=features,
1671 download_config=download_config,
1672 download_mode=download_mode,
1673 revision=revision,
1674 use_auth_token=use_auth_token,
1675 **config_kwargs,
1676 )
1678 # Return iterable dataset in case of streaming
1679 if streaming:
File /opt/conda/lib/python3.10/site-packages/datasets/load.py:1490, in load_dataset_builder(path, name, data_dir, data_files, cache_dir, features, download_config, download_mode, revision, use_auth_token, **config_kwargs)
1488 download_config = download_config.copy() if download_config else DownloadConfig()
1489 download_config.use_auth_token = use_auth_token
-> 1490 dataset_module = dataset_module_factory(
1491 path,
1492 revision=revision,
1493 download_config=download_config,
1494 download_mode=download_mode,
1495 data_dir=data_dir,
1496 data_files=data_files,
1497 )
1499 # Get dataset builder class from the processing script
1500 builder_cls = import_main_class(dataset_module.module_path)
File /opt/conda/lib/python3.10/site-packages/datasets/load.py:1242, in dataset_module_factory(path, revision, download_config, download_mode, force_local_path, dynamic_modules_path, data_dir, data_files, **download_kwargs)
1237 if isinstance(e1, FileNotFoundError):
1238 raise FileNotFoundError(
1239 f"Couldn't find a dataset script at {relative_to_absolute_path(combined_path)} or any data file in the same directory. "
1240 f"Couldn't find '{path}' on the Hugging Face Hub either: {type(e1).__name__}: {e1}"
1241 ) from None
-> 1242 raise e1 from None
1243 else:
1244 raise FileNotFoundError(
1245 f"Couldn't find a dataset script at {relative_to_absolute_path(combined_path)} or any data file in the same directory."
1246 )
File /opt/conda/lib/python3.10/site-packages/datasets/load.py:1230, in dataset_module_factory(path, revision, download_config, download_mode, force_local_path, dynamic_modules_path, data_dir, data_files, **download_kwargs)
1215 return HubDatasetModuleFactoryWithScript(
1216 path,
1217 revision=revision,
(...)
1220 dynamic_modules_path=dynamic_modules_path,
1221 ).get_module()
1222 else:
1223 return HubDatasetModuleFactoryWithoutScript(
1224 path,
1225 revision=revision,
1226 data_dir=data_dir,
1227 data_files=data_files,
1228 download_config=download_config,
1229 download_mode=download_mode,
-> 1230 ).get_module()
1231 except Exception as e1: # noqa: all the attempts failed, before raising the error we should check if the module is already cached.
1232 try:
File /opt/conda/lib/python3.10/site-packages/datasets/load.py:846, in HubDatasetModuleFactoryWithoutScript.get_module(self)
836 token = self.download_config.use_auth_token
837 hfh_dataset_info = HfApi(config.HF_ENDPOINT).dataset_info(
838 self.name,
839 revision=self.revision,
840 token=token,
841 timeout=100.0,
842 )
843 patterns = (
844 sanitize_patterns(self.data_files)
845 if self.data_files is not None
--> 846 else get_patterns_in_dataset_repository(hfh_dataset_info)
847 )
848 data_files = DataFilesDict.from_hf_repo(
849 patterns,
850 dataset_info=hfh_dataset_info,
851 allowed_extensions=ALL_ALLOWED_EXTENSIONS,
852 )
853 infered_module_names = {
854 key: infer_module_for_data_files(data_files_list, use_auth_token=self.download_config.use_auth_token)
855 for key, data_files_list in data_files.items()
856 }
File /opt/conda/lib/python3.10/site-packages/datasets/data_files.py:471, in get_patterns_in_dataset_repository(dataset_info)
469 resolver = partial(_resolve_single_pattern_in_dataset_repository, dataset_info)
470 try:
--> 471 return _get_data_files_patterns(resolver)
472 except FileNotFoundError:
473 raise FileNotFoundError(
474 f"The dataset repository at '{dataset_info.id}' doesn't contain any data file."
475 ) from None
File /opt/conda/lib/python3.10/site-packages/datasets/data_files.py:99, in _get_data_files_patterns(pattern_resolver)
97 try:
98 for pattern in patterns:
---> 99 data_files = pattern_resolver(pattern)
100 if len(data_files) > 0:
101 non_empty_splits.append(split)
File /opt/conda/lib/python3.10/site-packages/datasets/data_files.py:303, in _resolve_single_pattern_in_dataset_repository(dataset_info, pattern, allowed_extensions)
301 data_files_ignore = FILES_TO_IGNORE
302 fs = HfFileSystem(repo_info=dataset_info)
--> 303 glob_iter = [PurePath(filepath) for filepath in fs.glob(PurePath(pattern).as_posix()) if fs.isfile(filepath)]
304 matched_paths = [
305 filepath
306 for filepath in glob_iter
307 if filepath.name not in data_files_ignore and not filepath.name.startswith(".")
308 ]
309 if allowed_extensions is not None:
File /opt/conda/lib/python3.10/site-packages/fsspec/spec.py:606, in AbstractFileSystem.glob(self, path, maxdepth, **kwargs)
602 depth = None
604 allpaths = self.find(root, maxdepth=depth, withdirs=True, detail=True, **kwargs)
--> 606 pattern = glob_translate(path + ("/" if ends_with_sep else ""))
607 pattern = re.compile(pattern)
609 out = {
610 p: info
611 for p, info in sorted(allpaths.items())
(...)
618 )
619 }
File /opt/conda/lib/python3.10/site-packages/fsspec/utils.py:734, in glob_translate(pat)
732 continue
733 elif "**" in part:
--> 734 raise ValueError(
735 "Invalid pattern: '**' can only be an entire path component"
736 )
737 if part:
738 results.extend(_translate(part, f"{not_sep}*", not_sep))
ValueError: Invalid pattern: '**' can only be an entire path component
```
```
After loading this dataset
### Steps to reproduce the bug
```
from datasets import load_dataset
dataset = load_dataset("llm-blender/mix-instruct")
```
### Expected behavior
The dataset should load with desired split.
### Environment info
- `datasets` version: 2.17.1
- Platform: Linux-5.15.133+-x86_64-with-glibc2.31
- Python version: 3.10.13
- `huggingface_hub` version: 0.20.3
- PyArrow version: 15.0.0
- Pandas version: 2.2.0
- `fsspec` version: 2023.10.0
|
https://api.github.com/repos/huggingface/datasets/issues/6697/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6697/reactions"
}
| 2024-02-27T18:21:13 | 6,697 | null | null |
[] |
https://api.github.com/repos/huggingface/datasets/issues/6697/labels{/name}
| null | 2024-02-27T18:19:34 | null | 2,157,322,224 |
https://api.github.com/repos/huggingface/datasets/issues/6697/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6697/comments
| null | null |
I_kwDODunzps6Alh_w
|
https://api.github.com/repos/huggingface/datasets/issues/6697
|
NONE
|
https://github.com/huggingface/datasets/issues/6697
|
Unable to Load Dataset in Kaggle
| false |
open
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/albertvillanova",
"id": 8515462,
"login": "albertvillanova",
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"type": "User",
"url": "https://api.github.com/users/albertvillanova"
}
|
Support JSON file with an array of strings.
Fix #6695.
| null |
[] |
Support JSON file with an array of strings.
Fix #6695.
|
https://api.github.com/repos/huggingface/datasets/issues/6696/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6696/reactions"
}
| 2024-02-27T16:12:39 | 6,696 | false |
{
"diff_url": "https://github.com/huggingface/datasets/pull/6696.diff",
"html_url": "https://github.com/huggingface/datasets/pull/6696",
"merged_at": null,
"patch_url": "https://github.com/huggingface/datasets/pull/6696.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/6696"
}
|
[] |
https://api.github.com/repos/huggingface/datasets/issues/6696/labels{/name}
| null | 2024-02-26T13:18:31 | null | 2,154,161,357 |
https://api.github.com/repos/huggingface/datasets/issues/6696/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6696/comments
| null | null |
PR_kwDODunzps5n6ipH
|
https://api.github.com/repos/huggingface/datasets/issues/6696
|
MEMBER
|
https://github.com/huggingface/datasets/pull/6696
|
Make JSON builder support an array of strings
| true |
open
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/albertvillanova",
"id": 8515462,
"login": "albertvillanova",
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"type": "User",
"url": "https://api.github.com/users/albertvillanova"
}
|
Support loading a dataset from a JSON file with an array of strings.
See: https://huggingface.co/datasets/CausalLM/Refined-Anime-Text/discussions/1
| null |
[
{
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/albertvillanova",
"id": 8515462,
"login": "albertvillanova",
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"type": "User",
"url": "https://api.github.com/users/albertvillanova"
}
] |
Support loading a dataset from a JSON file with an array of strings.
See: https://huggingface.co/datasets/CausalLM/Refined-Anime-Text/discussions/1
|
https://api.github.com/repos/huggingface/datasets/issues/6695/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 1,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 1,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6695/reactions"
}
| 2024-02-26T13:24:49 | 6,695 | null | null |
[
{
"color": "a2eeef",
"default": true,
"description": "New feature or request",
"id": 1935892871,
"name": "enhancement",
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement"
}
] |
https://api.github.com/repos/huggingface/datasets/issues/6695/labels{/name}
| null | 2024-02-26T12:35:11 | null | 2,154,075,509 |
https://api.github.com/repos/huggingface/datasets/issues/6695/events
|
https://api.github.com/repos/huggingface/datasets
| false |
{
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/albertvillanova",
"id": 8515462,
"login": "albertvillanova",
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"type": "User",
"url": "https://api.github.com/users/albertvillanova"
}
|
https://api.github.com/repos/huggingface/datasets/issues/6695/comments
| null | null |
I_kwDODunzps6AZJV1
|
https://api.github.com/repos/huggingface/datasets/issues/6695
|
MEMBER
|
https://github.com/huggingface/datasets/issues/6695
|
Support JSON file with an array of strings
| false |
open
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/79557937?v=4",
"events_url": "https://api.github.com/users/oh-gnues-iohc/events{/privacy}",
"followers_url": "https://api.github.com/users/oh-gnues-iohc/followers",
"following_url": "https://api.github.com/users/oh-gnues-iohc/following{/other_user}",
"gists_url": "https://api.github.com/users/oh-gnues-iohc/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/oh-gnues-iohc",
"id": 79557937,
"login": "oh-gnues-iohc",
"node_id": "MDQ6VXNlcjc5NTU3OTM3",
"organizations_url": "https://api.github.com/users/oh-gnues-iohc/orgs",
"received_events_url": "https://api.github.com/users/oh-gnues-iohc/received_events",
"repos_url": "https://api.github.com/users/oh-gnues-iohc/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/oh-gnues-iohc/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/oh-gnues-iohc/subscriptions",
"type": "User",
"url": "https://api.github.com/users/oh-gnues-iohc"
}
|
It's too cumbersome to write this command every time we perform a dataset merging operation. ```pythonfrom datasets import concatenate_datasets``` We have added a simple `__add__` magic method to each class using `concatenate_datasets.`
```python
from datasets import load_dataset
bookcorpus = load_dataset("bookcorpus", split="train")
wiki = load_dataset("wikimedia/wikipedia", "20231101.ab", split="train")
wiki = wiki.remove_columns([col for col in wiki.column_names if col != "text"]) # only keep the 'text' column
bookcorpus + wiki
#Dataset({
# features: ['text'],
# num_rows: 74004228
#})
#Dataset({
# features: ['text'],
# num_rows: 6152
#})
#Dataset({
# features: ['text'],
# num_rows: 74010380
#})
```
| null |
[] |
It's too cumbersome to write this command every time we perform a dataset merging operation. ```pythonfrom datasets import concatenate_datasets``` We have added a simple `__add__` magic method to each class using `concatenate_datasets.`
```python
from datasets import load_dataset
bookcorpus = load_dataset("bookcorpus", split="train")
wiki = load_dataset("wikimedia/wikipedia", "20231101.ab", split="train")
wiki = wiki.remove_columns([col for col in wiki.column_names if col != "text"]) # only keep the 'text' column
bookcorpus + wiki
#Dataset({
# features: ['text'],
# num_rows: 74004228
#})
#Dataset({
# features: ['text'],
# num_rows: 6152
#})
#Dataset({
# features: ['text'],
# num_rows: 74010380
#})
```
|
https://api.github.com/repos/huggingface/datasets/issues/6694/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6694/reactions"
}
| 2024-02-28T01:04:45 | 6,694 | false |
{
"diff_url": "https://github.com/huggingface/datasets/pull/6694.diff",
"html_url": "https://github.com/huggingface/datasets/pull/6694",
"merged_at": null,
"patch_url": "https://github.com/huggingface/datasets/pull/6694.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/6694"
}
|
[] |
https://api.github.com/repos/huggingface/datasets/issues/6694/labels{/name}
| null | 2024-02-26T01:46:55 | null | 2,153,086,984 |
https://api.github.com/repos/huggingface/datasets/issues/6694/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6694/comments
| null | null |
PR_kwDODunzps5n23Jz
|
https://api.github.com/repos/huggingface/datasets/issues/6694
|
NONE
|
https://github.com/huggingface/datasets/pull/6694
|
__add__ for Dataset, IterableDataset
| true |
closed
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/142939562?v=4",
"events_url": "https://api.github.com/users/gzbfgjf2/events{/privacy}",
"followers_url": "https://api.github.com/users/gzbfgjf2/followers",
"following_url": "https://api.github.com/users/gzbfgjf2/following{/other_user}",
"gists_url": "https://api.github.com/users/gzbfgjf2/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/gzbfgjf2",
"id": 142939562,
"login": "gzbfgjf2",
"node_id": "U_kgDOCIUVqg",
"organizations_url": "https://api.github.com/users/gzbfgjf2/orgs",
"received_events_url": "https://api.github.com/users/gzbfgjf2/received_events",
"repos_url": "https://api.github.com/users/gzbfgjf2/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/gzbfgjf2/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/gzbfgjf2/subscriptions",
"type": "User",
"url": "https://api.github.com/users/gzbfgjf2"
}
|
Update documentation to align with `Dataset.__repr__` change after #423
| null |
[] |
Update documentation to align with `Dataset.__repr__` change after #423
|
https://api.github.com/repos/huggingface/datasets/issues/6693/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6693/reactions"
}
| 2024-02-25T19:57:12 | 6,693 | false |
{
"diff_url": "https://github.com/huggingface/datasets/pull/6693.diff",
"html_url": "https://github.com/huggingface/datasets/pull/6693",
"merged_at": "2024-02-25T19:51:02",
"patch_url": "https://github.com/huggingface/datasets/pull/6693.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/6693"
}
|
[] |
https://api.github.com/repos/huggingface/datasets/issues/6693/labels{/name}
| 2024-02-25T19:51:02 | 2024-02-25T18:37:07 | null | 2,152,887,712 |
https://api.github.com/repos/huggingface/datasets/issues/6693/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6693/comments
| null | null |
PR_kwDODunzps5n2ObO
|
https://api.github.com/repos/huggingface/datasets/issues/6693
|
CONTRIBUTOR
|
https://github.com/huggingface/datasets/pull/6693
|
Update the print message for chunked_dataset in process.mdx
| true |
closed
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/77767961?v=4",
"events_url": "https://api.github.com/users/harsh1504660/events{/privacy}",
"followers_url": "https://api.github.com/users/harsh1504660/followers",
"following_url": "https://api.github.com/users/harsh1504660/following{/other_user}",
"gists_url": "https://api.github.com/users/harsh1504660/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/harsh1504660",
"id": 77767961,
"login": "harsh1504660",
"node_id": "MDQ6VXNlcjc3NzY3OTYx",
"organizations_url": "https://api.github.com/users/harsh1504660/orgs",
"received_events_url": "https://api.github.com/users/harsh1504660/received_events",
"repos_url": "https://api.github.com/users/harsh1504660/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/harsh1504660/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/harsh1504660/subscriptions",
"type": "User",
"url": "https://api.github.com/users/harsh1504660"
}
|
Fix #6691
| null |
[] |
Fix #6691
|
https://api.github.com/repos/huggingface/datasets/issues/6692/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6692/reactions"
}
| 2024-02-26T15:33:50 | 6,692 | false |
{
"diff_url": "https://github.com/huggingface/datasets/pull/6692.diff",
"html_url": "https://github.com/huggingface/datasets/pull/6692",
"merged_at": null,
"patch_url": "https://github.com/huggingface/datasets/pull/6692.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/6692"
}
|
[] |
https://api.github.com/repos/huggingface/datasets/issues/6692/labels{/name}
| 2024-02-26T07:14:03 | 2024-02-24T11:38:59 | null | 2,152,270,987 |
https://api.github.com/repos/huggingface/datasets/issues/6692/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6692/comments
| null | null |
PR_kwDODunzps5n0XN1
|
https://api.github.com/repos/huggingface/datasets/issues/6692
|
NONE
|
https://github.com/huggingface/datasets/pull/6692
|
Enhancement: Enable loading TSV files in load_dataset()
| true |
closed
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/26873178?v=4",
"events_url": "https://api.github.com/users/dipsivenkatesh/events{/privacy}",
"followers_url": "https://api.github.com/users/dipsivenkatesh/followers",
"following_url": "https://api.github.com/users/dipsivenkatesh/following{/other_user}",
"gists_url": "https://api.github.com/users/dipsivenkatesh/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/dipsivenkatesh",
"id": 26873178,
"login": "dipsivenkatesh",
"node_id": "MDQ6VXNlcjI2ODczMTc4",
"organizations_url": "https://api.github.com/users/dipsivenkatesh/orgs",
"received_events_url": "https://api.github.com/users/dipsivenkatesh/received_events",
"repos_url": "https://api.github.com/users/dipsivenkatesh/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/dipsivenkatesh/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/dipsivenkatesh/subscriptions",
"type": "User",
"url": "https://api.github.com/users/dipsivenkatesh"
}
|
### Feature request
the load_dataset() for local functions support file types like csv, json etc but not of type tsv (tab separated values).
### Motivation
cant easily load files of type tsv, have to convert them to another type like csv then load
### Your contribution
Can try by raising a PR with a little help, currently went through the code but didn't fully understand
| null |
[
{
"avatar_url": "https://avatars.githubusercontent.com/u/77767961?v=4",
"events_url": "https://api.github.com/users/harsh1504660/events{/privacy}",
"followers_url": "https://api.github.com/users/harsh1504660/followers",
"following_url": "https://api.github.com/users/harsh1504660/following{/other_user}",
"gists_url": "https://api.github.com/users/harsh1504660/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/harsh1504660",
"id": 77767961,
"login": "harsh1504660",
"node_id": "MDQ6VXNlcjc3NzY3OTYx",
"organizations_url": "https://api.github.com/users/harsh1504660/orgs",
"received_events_url": "https://api.github.com/users/harsh1504660/received_events",
"repos_url": "https://api.github.com/users/harsh1504660/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/harsh1504660/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/harsh1504660/subscriptions",
"type": "User",
"url": "https://api.github.com/users/harsh1504660"
}
] |
### Feature request
the load_dataset() for local functions support file types like csv, json etc but not of type tsv (tab separated values).
### Motivation
cant easily load files of type tsv, have to convert them to another type like csv then load
### Your contribution
Can try by raising a PR with a little help, currently went through the code but didn't fully understand
|
https://api.github.com/repos/huggingface/datasets/issues/6691/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6691/reactions"
}
| 2024-02-26T07:15:07 | 6,691 | null | null |
[
{
"color": "a2eeef",
"default": true,
"description": "New feature or request",
"id": 1935892871,
"name": "enhancement",
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement"
}
] |
https://api.github.com/repos/huggingface/datasets/issues/6691/labels{/name}
| 2024-02-26T07:09:35 | 2024-02-24T05:56:04 | null | 2,152,134,041 |
https://api.github.com/repos/huggingface/datasets/issues/6691/events
|
https://api.github.com/repos/huggingface/datasets
| false |
{
"avatar_url": "https://avatars.githubusercontent.com/u/77767961?v=4",
"events_url": "https://api.github.com/users/harsh1504660/events{/privacy}",
"followers_url": "https://api.github.com/users/harsh1504660/followers",
"following_url": "https://api.github.com/users/harsh1504660/following{/other_user}",
"gists_url": "https://api.github.com/users/harsh1504660/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/harsh1504660",
"id": 77767961,
"login": "harsh1504660",
"node_id": "MDQ6VXNlcjc3NzY3OTYx",
"organizations_url": "https://api.github.com/users/harsh1504660/orgs",
"received_events_url": "https://api.github.com/users/harsh1504660/received_events",
"repos_url": "https://api.github.com/users/harsh1504660/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/harsh1504660/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/harsh1504660/subscriptions",
"type": "User",
"url": "https://api.github.com/users/harsh1504660"
}
|
https://api.github.com/repos/huggingface/datasets/issues/6691/comments
| null | null |
I_kwDODunzps6ARvWZ
|
https://api.github.com/repos/huggingface/datasets/issues/6691
|
NONE
|
https://github.com/huggingface/datasets/issues/6691
|
load_dataset() does not support tsv
| false |
open
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/albertvillanova",
"id": 8515462,
"login": "albertvillanova",
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"type": "User",
"url": "https://api.github.com/users/albertvillanova"
}
|
Add function to convert a script-dataset to Parquet and push it to the Hub, analogously to the Space: "Convert a Hugging Face dataset to Parquet"
| null |
[
{
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/albertvillanova",
"id": 8515462,
"login": "albertvillanova",
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"type": "User",
"url": "https://api.github.com/users/albertvillanova"
}
] |
Add function to convert a script-dataset to Parquet and push it to the Hub, analogously to the Space: "Convert a Hugging Face dataset to Parquet"
|
https://api.github.com/repos/huggingface/datasets/issues/6690/timeline
|
{
"+1": 1,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 1,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6690/reactions"
}
| 2024-02-23T10:28:20 | 6,690 | null | null |
[
{
"color": "a2eeef",
"default": true,
"description": "New feature or request",
"id": 1935892871,
"name": "enhancement",
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement"
}
] |
https://api.github.com/repos/huggingface/datasets/issues/6690/labels{/name}
| null | 2024-02-23T10:28:20 | null | 2,150,800,065 |
https://api.github.com/repos/huggingface/datasets/issues/6690/events
|
https://api.github.com/repos/huggingface/datasets
| false |
{
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/albertvillanova",
"id": 8515462,
"login": "albertvillanova",
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"type": "User",
"url": "https://api.github.com/users/albertvillanova"
}
|
https://api.github.com/repos/huggingface/datasets/issues/6690/comments
| null | null |
I_kwDODunzps6AMprB
|
https://api.github.com/repos/huggingface/datasets/issues/6690
|
MEMBER
|
https://github.com/huggingface/datasets/issues/6690
|
Add function to convert a script-dataset to Parquet
| false |
open
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/87243032?v=4",
"events_url": "https://api.github.com/users/ElleLeonne/events{/privacy}",
"followers_url": "https://api.github.com/users/ElleLeonne/followers",
"following_url": "https://api.github.com/users/ElleLeonne/following{/other_user}",
"gists_url": "https://api.github.com/users/ElleLeonne/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/ElleLeonne",
"id": 87243032,
"login": "ElleLeonne",
"node_id": "MDQ6VXNlcjg3MjQzMDMy",
"organizations_url": "https://api.github.com/users/ElleLeonne/orgs",
"received_events_url": "https://api.github.com/users/ElleLeonne/received_events",
"repos_url": "https://api.github.com/users/ElleLeonne/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/ElleLeonne/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ElleLeonne/subscriptions",
"type": "User",
"url": "https://api.github.com/users/ElleLeonne"
}
|
### Describe the bug
Regardless of what method I use, datasets defaults to zstandard for unpacking my datasets.
This is poor behavior, because not only is zstandard not a dependency in the huggingface package (and therefore, your dataset loading will be interrupted while it asks you to install the package), but it happens on datasets that are uploaded in json format too, meaning the dataset loader will attempt to convert the data to a zstandard compatible format, and THEN try to unpackage it.
My 4tb drive runs out of room when using zstandard on slimpajama. It loads fine on 1.5tb when using json, however I lack the understanding of the "magic numbers" system used to select the unpackaging algorithm, so I can't push a change myself.
Commenting out this line, in "/datasets/utils/extract.py" fixes the issue, and causes SlimPajama to properly extract using rational amounts of storage, however it completely disables zstandard, which is probably undesirable behavior. Someone with an understanding of the "magic numbers" system should probably take a pass over this issue.
```
class Extractor:
# Put zip file to the last, b/c it is possible wrongly detected as zip (I guess it means: as tar or gzip)
extractors: Dict[str, Type[BaseExtractor]] = {
"tar": TarExtractor,
"gzip": GzipExtractor,
"zip": ZipExtractor,
"xz": XzExtractor,
#"zstd": ZstdExtractor, # This line needs to go, in order for datasets to work w/o non-dependent packages
"rar": RarExtractor,
"bz2": Bzip2Extractor,
"7z": SevenZipExtractor, # <Added version="2.4.0"/>
"lz4": Lz4Extractor, # <Added version="2.4.0"/>
}
```
### Steps to reproduce the bug
'''
from datasaets import load_dataset
load_dataset(path="/cerebras/SlimPajama-627B")
'''
This alone should trigger the error on any system that does not have zstandard pip installed.
### Expected behavior
This repository (which is encoded in json format, not zstandard) should check whether zstandard is installed before defaulting to it. Additionally, using zstandard should not use more than 3x the required space that other extraction mechanisms use.
### Environment info
- `datasets` version: 2.17.1
- Platform: Linux-6.5.0-18-generic-x86_64-with-glibc2.35
- Python version: 3.12.0
- `huggingface_hub` version: 0.20.3
- PyArrow version: 15.0.0
- Pandas version: 2.2.0
- `fsspec` version: 2023.10.0
| null |
[] |
### Describe the bug
Regardless of what method I use, datasets defaults to zstandard for unpacking my datasets.
This is poor behavior, because not only is zstandard not a dependency in the huggingface package (and therefore, your dataset loading will be interrupted while it asks you to install the package), but it happens on datasets that are uploaded in json format too, meaning the dataset loader will attempt to convert the data to a zstandard compatible format, and THEN try to unpackage it.
My 4tb drive runs out of room when using zstandard on slimpajama. It loads fine on 1.5tb when using json, however I lack the understanding of the "magic numbers" system used to select the unpackaging algorithm, so I can't push a change myself.
Commenting out this line, in "/datasets/utils/extract.py" fixes the issue, and causes SlimPajama to properly extract using rational amounts of storage, however it completely disables zstandard, which is probably undesirable behavior. Someone with an understanding of the "magic numbers" system should probably take a pass over this issue.
```
class Extractor:
# Put zip file to the last, b/c it is possible wrongly detected as zip (I guess it means: as tar or gzip)
extractors: Dict[str, Type[BaseExtractor]] = {
"tar": TarExtractor,
"gzip": GzipExtractor,
"zip": ZipExtractor,
"xz": XzExtractor,
#"zstd": ZstdExtractor, # This line needs to go, in order for datasets to work w/o non-dependent packages
"rar": RarExtractor,
"bz2": Bzip2Extractor,
"7z": SevenZipExtractor, # <Added version="2.4.0"/>
"lz4": Lz4Extractor, # <Added version="2.4.0"/>
}
```
### Steps to reproduce the bug
'''
from datasaets import load_dataset
load_dataset(path="/cerebras/SlimPajama-627B")
'''
This alone should trigger the error on any system that does not have zstandard pip installed.
### Expected behavior
This repository (which is encoded in json format, not zstandard) should check whether zstandard is installed before defaulting to it. Additionally, using zstandard should not use more than 3x the required space that other extraction mechanisms use.
### Environment info
- `datasets` version: 2.17.1
- Platform: Linux-6.5.0-18-generic-x86_64-with-glibc2.35
- Python version: 3.12.0
- `huggingface_hub` version: 0.20.3
- PyArrow version: 15.0.0
- Pandas version: 2.2.0
- `fsspec` version: 2023.10.0
|
https://api.github.com/repos/huggingface/datasets/issues/6689/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6689/reactions"
}
| 2024-02-22T17:39:27 | 6,689 | null | null |
[] |
https://api.github.com/repos/huggingface/datasets/issues/6689/labels{/name}
| null | 2024-02-22T17:39:27 | null | 2,149,581,147 |
https://api.github.com/repos/huggingface/datasets/issues/6689/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6689/comments
| null | null |
I_kwDODunzps6AIAFb
|
https://api.github.com/repos/huggingface/datasets/issues/6689
|
NONE
|
https://github.com/huggingface/datasets/issues/6689
|
.load_dataset() method defaults to zstandard
| false |
open
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/11166137?v=4",
"events_url": "https://api.github.com/users/srossi93/events{/privacy}",
"followers_url": "https://api.github.com/users/srossi93/followers",
"following_url": "https://api.github.com/users/srossi93/following{/other_user}",
"gists_url": "https://api.github.com/users/srossi93/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/srossi93",
"id": 11166137,
"login": "srossi93",
"node_id": "MDQ6VXNlcjExMTY2MTM3",
"organizations_url": "https://api.github.com/users/srossi93/orgs",
"received_events_url": "https://api.github.com/users/srossi93/received_events",
"repos_url": "https://api.github.com/users/srossi93/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/srossi93/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/srossi93/subscriptions",
"type": "User",
"url": "https://api.github.com/users/srossi93"
}
|
### Describe the bug
I don't know if it is a bug or an expected behavior, but the tensor type seems to be ignored after applying map. For example, mapping over to tokenize text with a transformers' tokenizer always returns lists and it ignore the `return_tensors` argument.
If this is an expected behaviour (e.g., for caching/Arrow compatibility/etc.) it should be clearly documented. For example, current documentation (see [here](https://huggingface.co/docs/datasets/v2.17.1/en/nlp_process#map)) clearly state to "set `return_tensors="np"` when you tokenize your text" to have Numpy arrays.
### Steps to reproduce the bug
```py
# %%%
import datasets
import numpy as np
import tensorflow as tf
import torch
from transformers import AutoTokenizer
# %%
ds = datasets.load_dataset("cnn_dailymail", "1.0.0", split="train[:1%]")
tokenizer = AutoTokenizer.from_pretrained("bert-base-cased")
#%%
for return_tensors in [None, "np", "pt", "tf", "jax"]:
print(f"********** no map, return_tensors={return_tensors} **********")
_ds = tokenizer(ds["article"], return_tensors=return_tensors, truncation=True, padding=True)
print('Type <input_ids>:', type(_ds["input_ids"]))
# %%
for return_tensors in [None, "np", "pt", "tf", "jax"]:
print(f"********** map, return_tensors={return_tensors} **********")
_ds = ds.map(
lambda examples: tokenizer(examples["article"], return_tensors=return_tensors, truncation=True, padding=True),
batched=True,
remove_columns=["article"],
)
print('Type <input_ids>:', type(_ds[0]["input_ids"]))
```
### Expected behavior
The output from the script above. I would expect the second half to be the same.
```
********** no map, return_tensors=None **********
Type <input_ids>: <class 'list'>
********** no map, return_tensors=np **********
Type <input_ids>: <class 'numpy.ndarray'>
********** no map, return_tensors=pt **********
Type <input_ids>: <class 'torch.Tensor'>
********** no map, return_tensors=tf **********
Type <input_ids>: <class 'tensorflow.python.framework.ops.EagerTensor'>
********** no map, return_tensors=jax **********
Type <input_ids>: <class 'jaxlib.xla_extension.ArrayImpl'>
********** map, return_tensors=None **********
Type <input_ids>: <class 'list'>
********** map, return_tensors=np **********
Type <input_ids>: <class 'list'>
********** map, return_tensors=pt **********
Type <input_ids>: <class 'list'>
********** map, return_tensors=tf **********
Type <input_ids>: <class 'list'>
********** map, return_tensors=jax **********
Type <input_ids>: <class 'list'>
```
### Environment info
- `datasets` version: 2.17.1
- Platform: Redacted (linux)
- Python version: 3.10.12
- `huggingface_hub` version: 0.20.3
- PyArrow version: 15.0.0
- Pandas version: 2.1.3
- `fsspec` version: 2023.10.0
| null |
[] |
### Describe the bug
I don't know if it is a bug or an expected behavior, but the tensor type seems to be ignored after applying map. For example, mapping over to tokenize text with a transformers' tokenizer always returns lists and it ignore the `return_tensors` argument.
If this is an expected behaviour (e.g., for caching/Arrow compatibility/etc.) it should be clearly documented. For example, current documentation (see [here](https://huggingface.co/docs/datasets/v2.17.1/en/nlp_process#map)) clearly state to "set `return_tensors="np"` when you tokenize your text" to have Numpy arrays.
### Steps to reproduce the bug
```py
# %%%
import datasets
import numpy as np
import tensorflow as tf
import torch
from transformers import AutoTokenizer
# %%
ds = datasets.load_dataset("cnn_dailymail", "1.0.0", split="train[:1%]")
tokenizer = AutoTokenizer.from_pretrained("bert-base-cased")
#%%
for return_tensors in [None, "np", "pt", "tf", "jax"]:
print(f"********** no map, return_tensors={return_tensors} **********")
_ds = tokenizer(ds["article"], return_tensors=return_tensors, truncation=True, padding=True)
print('Type <input_ids>:', type(_ds["input_ids"]))
# %%
for return_tensors in [None, "np", "pt", "tf", "jax"]:
print(f"********** map, return_tensors={return_tensors} **********")
_ds = ds.map(
lambda examples: tokenizer(examples["article"], return_tensors=return_tensors, truncation=True, padding=True),
batched=True,
remove_columns=["article"],
)
print('Type <input_ids>:', type(_ds[0]["input_ids"]))
```
### Expected behavior
The output from the script above. I would expect the second half to be the same.
```
********** no map, return_tensors=None **********
Type <input_ids>: <class 'list'>
********** no map, return_tensors=np **********
Type <input_ids>: <class 'numpy.ndarray'>
********** no map, return_tensors=pt **********
Type <input_ids>: <class 'torch.Tensor'>
********** no map, return_tensors=tf **********
Type <input_ids>: <class 'tensorflow.python.framework.ops.EagerTensor'>
********** no map, return_tensors=jax **********
Type <input_ids>: <class 'jaxlib.xla_extension.ArrayImpl'>
********** map, return_tensors=None **********
Type <input_ids>: <class 'list'>
********** map, return_tensors=np **********
Type <input_ids>: <class 'list'>
********** map, return_tensors=pt **********
Type <input_ids>: <class 'list'>
********** map, return_tensors=tf **********
Type <input_ids>: <class 'list'>
********** map, return_tensors=jax **********
Type <input_ids>: <class 'list'>
```
### Environment info
- `datasets` version: 2.17.1
- Platform: Redacted (linux)
- Python version: 3.10.12
- `huggingface_hub` version: 0.20.3
- PyArrow version: 15.0.0
- Pandas version: 2.1.3
- `fsspec` version: 2023.10.0
|
https://api.github.com/repos/huggingface/datasets/issues/6688/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6688/reactions"
}
| 2024-02-22T15:56:21 | 6,688 | null | null |
[] |
https://api.github.com/repos/huggingface/datasets/issues/6688/labels{/name}
| null | 2024-02-22T09:27:57 | null | 2,148,609,859 |
https://api.github.com/repos/huggingface/datasets/issues/6688/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6688/comments
| null | null |
I_kwDODunzps6AES9D
|
https://api.github.com/repos/huggingface/datasets/issues/6688
|
NONE
|
https://github.com/huggingface/datasets/issues/6688
|
Tensor type (e.g. from `return_tensors`) ignored in map
| false |
open
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/651988?v=4",
"events_url": "https://api.github.com/users/pmrowla/events{/privacy}",
"followers_url": "https://api.github.com/users/pmrowla/followers",
"following_url": "https://api.github.com/users/pmrowla/following{/other_user}",
"gists_url": "https://api.github.com/users/pmrowla/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/pmrowla",
"id": 651988,
"login": "pmrowla",
"node_id": "MDQ6VXNlcjY1MTk4OA==",
"organizations_url": "https://api.github.com/users/pmrowla/orgs",
"received_events_url": "https://api.github.com/users/pmrowla/received_events",
"repos_url": "https://api.github.com/users/pmrowla/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/pmrowla/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/pmrowla/subscriptions",
"type": "User",
"url": "https://api.github.com/users/pmrowla"
}
|
- adds support for the `fs.glob` changes introduced in `fsspec==2023.12.0` and unpins the current upper bound
Should close #6644
Should close #6645
The `test_data_files` glob/pattern tests pass for me in:
- `fsspec==2023.10.0` (the pinned max version in datasets `main`)
- `fsspec==2023.12.0` (#6644)
- `fsspec==2024.2.0` (#6645)
| null |
[] |
- adds support for the `fs.glob` changes introduced in `fsspec==2023.12.0` and unpins the current upper bound
Should close #6644
Should close #6645
The `test_data_files` glob/pattern tests pass for me in:
- `fsspec==2023.10.0` (the pinned max version in datasets `main`)
- `fsspec==2023.12.0` (#6644)
- `fsspec==2024.2.0` (#6645)
|
https://api.github.com/repos/huggingface/datasets/issues/6687/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 5,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 5,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6687/reactions"
}
| 2024-02-26T06:08:46 | 6,687 | false |
{
"diff_url": "https://github.com/huggingface/datasets/pull/6687.diff",
"html_url": "https://github.com/huggingface/datasets/pull/6687",
"merged_at": null,
"patch_url": "https://github.com/huggingface/datasets/pull/6687.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/6687"
}
|
[] |
https://api.github.com/repos/huggingface/datasets/issues/6687/labels{/name}
| null | 2024-02-22T08:59:32 | null | 2,148,554,178 |
https://api.github.com/repos/huggingface/datasets/issues/6687/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6687/comments
| null | null |
PR_kwDODunzps5nnqBB
|
https://api.github.com/repos/huggingface/datasets/issues/6687
|
NONE
|
https://github.com/huggingface/datasets/pull/6687
|
fsspec: support fsspec>=2023.12.0 glob changes
| true |
open
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/37367987?v=4",
"events_url": "https://api.github.com/users/zhjohnchan/events{/privacy}",
"followers_url": "https://api.github.com/users/zhjohnchan/followers",
"following_url": "https://api.github.com/users/zhjohnchan/following{/other_user}",
"gists_url": "https://api.github.com/users/zhjohnchan/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/zhjohnchan",
"id": 37367987,
"login": "zhjohnchan",
"node_id": "MDQ6VXNlcjM3MzY3OTg3",
"organizations_url": "https://api.github.com/users/zhjohnchan/orgs",
"received_events_url": "https://api.github.com/users/zhjohnchan/received_events",
"repos_url": "https://api.github.com/users/zhjohnchan/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/zhjohnchan/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/zhjohnchan/subscriptions",
"type": "User",
"url": "https://api.github.com/users/zhjohnchan"
}
|
I am uploading an image dataset like this:
```
dataset = load_dataset(
"json",
data_files={"train": "data/custom_dataset/train.json", "validation": "data/custom_dataset/val.json"},
)
dataset = dataset.cast_column("images", Sequence(Image()))
dataset.push_to_hub("StanfordAIMI/custom_dataset", max_shard_size="1GB")
```
where it takes a long time in the `Map` process. Do you think I can use multi-processing to map all the image data to the memory first? For the `Map()` function, I can set `num_proc`. But for `push_to_hub` and `cast_column`, I can not find it.
Thanks in advance!
Best,
| null |
[] |
I am uploading an image dataset like this:
```
dataset = load_dataset(
"json",
data_files={"train": "data/custom_dataset/train.json", "validation": "data/custom_dataset/val.json"},
)
dataset = dataset.cast_column("images", Sequence(Image()))
dataset.push_to_hub("StanfordAIMI/custom_dataset", max_shard_size="1GB")
```
where it takes a long time in the `Map` process. Do you think I can use multi-processing to map all the image data to the memory first? For the `Map()` function, I can set `num_proc`. But for `push_to_hub` and `cast_column`, I can not find it.
Thanks in advance!
Best,
|
https://api.github.com/repos/huggingface/datasets/issues/6686/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6686/reactions"
}
| 2024-02-21T22:07:21 | 6,686 | null | null |
[] |
https://api.github.com/repos/huggingface/datasets/issues/6686/labels{/name}
| null | 2024-02-21T22:07:21 | null | 2,147,795,103 |
https://api.github.com/repos/huggingface/datasets/issues/6686/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6686/comments
| null | null |
I_kwDODunzps6ABMCf
|
https://api.github.com/repos/huggingface/datasets/issues/6686
|
NONE
|
https://github.com/huggingface/datasets/issues/6686
|
Question: Is there any way for uploading a large image dataset?
| false |
closed
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/55932554?v=4",
"events_url": "https://api.github.com/users/Codeblockz/events{/privacy}",
"followers_url": "https://api.github.com/users/Codeblockz/followers",
"following_url": "https://api.github.com/users/Codeblockz/following{/other_user}",
"gists_url": "https://api.github.com/users/Codeblockz/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/Codeblockz",
"id": 55932554,
"login": "Codeblockz",
"node_id": "MDQ6VXNlcjU1OTMyNTU0",
"organizations_url": "https://api.github.com/users/Codeblockz/orgs",
"received_events_url": "https://api.github.com/users/Codeblockz/received_events",
"repos_url": "https://api.github.com/users/Codeblockz/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/Codeblockz/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Codeblockz/subscriptions",
"type": "User",
"url": "https://api.github.com/users/Codeblockz"
}
|
Fixed Quickstart Notebook Link in the [Overview notebook](https://github.com/huggingface/datasets/blob/main/notebooks/Overview.ipynb)
| null |
[] |
Fixed Quickstart Notebook Link in the [Overview notebook](https://github.com/huggingface/datasets/blob/main/notebooks/Overview.ipynb)
|
https://api.github.com/repos/huggingface/datasets/issues/6685/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6685/reactions"
}
| 2024-02-25T18:54:26 | 6,685 | false |
{
"diff_url": "https://github.com/huggingface/datasets/pull/6685.diff",
"html_url": "https://github.com/huggingface/datasets/pull/6685",
"merged_at": "2024-02-25T18:48:08",
"patch_url": "https://github.com/huggingface/datasets/pull/6685.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/6685"
}
|
[] |
https://api.github.com/repos/huggingface/datasets/issues/6685/labels{/name}
| 2024-02-25T18:48:08 | 2024-02-21T01:04:18 | null | 2,145,570,006 |
https://api.github.com/repos/huggingface/datasets/issues/6685/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6685/comments
| null | null |
PR_kwDODunzps5ndZQa
|
https://api.github.com/repos/huggingface/datasets/issues/6685
|
CONTRIBUTOR
|
https://github.com/huggingface/datasets/pull/6685
|
Updated Quickstart Notebook link
| true |
closed
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/26859204?v=4",
"events_url": "https://api.github.com/users/lewtun/events{/privacy}",
"followers_url": "https://api.github.com/users/lewtun/followers",
"following_url": "https://api.github.com/users/lewtun/following{/other_user}",
"gists_url": "https://api.github.com/users/lewtun/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/lewtun",
"id": 26859204,
"login": "lewtun",
"node_id": "MDQ6VXNlcjI2ODU5MjA0",
"organizations_url": "https://api.github.com/users/lewtun/orgs",
"received_events_url": "https://api.github.com/users/lewtun/received_events",
"repos_url": "https://api.github.com/users/lewtun/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/lewtun/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lewtun/subscriptions",
"type": "User",
"url": "https://api.github.com/users/lewtun"
}
|
Internal Slack discussion: https://huggingface.slack.com/archives/C02V51Q3800/p1708424971135029
| null |
[] |
Internal Slack discussion: https://huggingface.slack.com/archives/C02V51Q3800/p1708424971135029
|
https://api.github.com/repos/huggingface/datasets/issues/6684/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6684/reactions"
}
| 2024-02-20T15:40:52 | 6,684 | false |
{
"diff_url": "https://github.com/huggingface/datasets/pull/6684.diff",
"html_url": "https://github.com/huggingface/datasets/pull/6684",
"merged_at": "2024-02-20T15:33:56",
"patch_url": "https://github.com/huggingface/datasets/pull/6684.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/6684"
}
|
[] |
https://api.github.com/repos/huggingface/datasets/issues/6684/labels{/name}
| 2024-02-20T15:33:56 | 2024-02-20T10:51:27 | null | 2,144,092,388 |
https://api.github.com/repos/huggingface/datasets/issues/6684/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6684/comments
| null | null |
PR_kwDODunzps5nYUIf
|
https://api.github.com/repos/huggingface/datasets/issues/6684
|
MEMBER
|
https://github.com/huggingface/datasets/pull/6684
|
Improve error message for gated datasets on load
| true |
closed
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4",
"events_url": "https://api.github.com/users/mariosasko/events{/privacy}",
"followers_url": "https://api.github.com/users/mariosasko/followers",
"following_url": "https://api.github.com/users/mariosasko/following{/other_user}",
"gists_url": "https://api.github.com/users/mariosasko/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/mariosasko",
"id": 47462742,
"login": "mariosasko",
"node_id": "MDQ6VXNlcjQ3NDYyNzQy",
"organizations_url": "https://api.github.com/users/mariosasko/orgs",
"received_events_url": "https://api.github.com/users/mariosasko/received_events",
"repos_url": "https://api.github.com/users/mariosasko/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/mariosasko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mariosasko/subscriptions",
"type": "User",
"url": "https://api.github.com/users/mariosasko"
}
| null | null |
[] | null |
https://api.github.com/repos/huggingface/datasets/issues/6683/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6683/reactions"
}
| 2024-02-19T17:24:25 | 6,683 | false |
{
"diff_url": "https://github.com/huggingface/datasets/pull/6683.diff",
"html_url": "https://github.com/huggingface/datasets/pull/6683",
"merged_at": "2024-02-19T17:18:10",
"patch_url": "https://github.com/huggingface/datasets/pull/6683.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/6683"
}
|
[] |
https://api.github.com/repos/huggingface/datasets/issues/6683/labels{/name}
| 2024-02-19T17:18:10 | 2024-02-19T16:26:51 | null | 2,142,751,955 |
https://api.github.com/repos/huggingface/datasets/issues/6683/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6683/comments
| null | null |
PR_kwDODunzps5nTxGu
|
https://api.github.com/repos/huggingface/datasets/issues/6683
|
CONTRIBUTOR
|
https://github.com/huggingface/datasets/pull/6683
|
Fix imagefolder dataset url
| true |
open
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/albertvillanova",
"id": 8515462,
"login": "albertvillanova",
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"type": "User",
"url": "https://api.github.com/users/albertvillanova"
}
|
Update GitHub Actions to Node 20.
Fix #6679.
| null |
[] |
Update GitHub Actions to Node 20.
Fix #6679.
|
https://api.github.com/repos/huggingface/datasets/issues/6682/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6682/reactions"
}
| 2024-02-19T10:15:06 | 6,682 | false |
{
"diff_url": "https://github.com/huggingface/datasets/pull/6682.diff",
"html_url": "https://github.com/huggingface/datasets/pull/6682",
"merged_at": null,
"patch_url": "https://github.com/huggingface/datasets/pull/6682.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/6682"
}
|
[] |
https://api.github.com/repos/huggingface/datasets/issues/6682/labels{/name}
| null | 2024-02-19T10:10:50 | null | 2,142,000,800 |
https://api.github.com/repos/huggingface/datasets/issues/6682/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6682/comments
| null | null |
PR_kwDODunzps5nRME6
|
https://api.github.com/repos/huggingface/datasets/issues/6682
|
MEMBER
|
https://github.com/huggingface/datasets/pull/6682
|
Update GitHub Actions to Node 20
| true |
open
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/albertvillanova",
"id": 8515462,
"login": "albertvillanova",
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"type": "User",
"url": "https://api.github.com/users/albertvillanova"
}
|
Update release instructions.
| null |
[] |
Update release instructions.
|
https://api.github.com/repos/huggingface/datasets/issues/6681/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6681/reactions"
}
| 2024-02-19T10:07:19 | 6,681 | false |
{
"diff_url": "https://github.com/huggingface/datasets/pull/6681.diff",
"html_url": "https://github.com/huggingface/datasets/pull/6681",
"merged_at": null,
"patch_url": "https://github.com/huggingface/datasets/pull/6681.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/6681"
}
|
[
{
"color": "d4c5f9",
"default": false,
"description": "Maintenance tasks",
"id": 4296013012,
"name": "maintenance",
"node_id": "LA_kwDODunzps8AAAABAA_01A",
"url": "https://api.github.com/repos/huggingface/datasets/labels/maintenance"
}
] |
https://api.github.com/repos/huggingface/datasets/issues/6681/labels{/name}
| null | 2024-02-19T10:03:08 | null | 2,141,985,239 |
https://api.github.com/repos/huggingface/datasets/issues/6681/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6681/comments
| null | null |
PR_kwDODunzps5nRItQ
|
https://api.github.com/repos/huggingface/datasets/issues/6681
|
MEMBER
|
https://github.com/huggingface/datasets/pull/6681
|
Update release instructions
| true |
closed
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/albertvillanova",
"id": 8515462,
"login": "albertvillanova",
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"type": "User",
"url": "https://api.github.com/users/albertvillanova"
}
| null | null |
[] | null |
https://api.github.com/repos/huggingface/datasets/issues/6680/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6680/reactions"
}
| 2024-02-19T10:06:43 | 6,680 | false |
{
"diff_url": "https://github.com/huggingface/datasets/pull/6680.diff",
"html_url": "https://github.com/huggingface/datasets/pull/6680",
"merged_at": "2024-02-19T10:00:40",
"patch_url": "https://github.com/huggingface/datasets/pull/6680.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/6680"
}
|
[] |
https://api.github.com/repos/huggingface/datasets/issues/6680/labels{/name}
| 2024-02-19T10:00:40 | 2024-02-19T10:00:31 | null | 2,141,979,527 |
https://api.github.com/repos/huggingface/datasets/issues/6680/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6680/comments
| null | null |
PR_kwDODunzps5nRHcz
|
https://api.github.com/repos/huggingface/datasets/issues/6680
|
MEMBER
|
https://github.com/huggingface/datasets/pull/6680
|
Set dev version
| true |
open
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/albertvillanova",
"id": 8515462,
"login": "albertvillanova",
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"type": "User",
"url": "https://api.github.com/users/albertvillanova"
}
|
`Node.js` 16 GitHub Actions are deprecated. See: https://github.blog/changelog/2023-09-22-github-actions-transitioning-from-node-16-to-node-20/
We should update them to Node 20.
See warnings in our CI, e.g.: https://github.com/huggingface/datasets/actions/runs/7957295009?pr=6678
```
Node.js 16 actions are deprecated. Please update the following actions to use Node.js 20: actions/checkout@v3, actions/setup-python@v4. For more information see: https://github.blog/changelog/2023-09-22-github-actions-transitioning-from-node-16-to-node-20/.
```
| null |
[
{
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/albertvillanova",
"id": 8515462,
"login": "albertvillanova",
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"type": "User",
"url": "https://api.github.com/users/albertvillanova"
}
] |
`Node.js` 16 GitHub Actions are deprecated. See: https://github.blog/changelog/2023-09-22-github-actions-transitioning-from-node-16-to-node-20/
We should update them to Node 20.
See warnings in our CI, e.g.: https://github.com/huggingface/datasets/actions/runs/7957295009?pr=6678
```
Node.js 16 actions are deprecated. Please update the following actions to use Node.js 20: actions/checkout@v3, actions/setup-python@v4. For more information see: https://github.blog/changelog/2023-09-22-github-actions-transitioning-from-node-16-to-node-20/.
```
|
https://api.github.com/repos/huggingface/datasets/issues/6679/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6679/reactions"
}
| 2024-02-19T11:34:11 | 6,679 | null | null |
[
{
"color": "d4c5f9",
"default": false,
"description": "Maintenance tasks",
"id": 4296013012,
"name": "maintenance",
"node_id": "LA_kwDODunzps8AAAABAA_01A",
"url": "https://api.github.com/repos/huggingface/datasets/labels/maintenance"
}
] |
https://api.github.com/repos/huggingface/datasets/issues/6679/labels{/name}
| null | 2024-02-19T09:47:37 | null | 2,141,953,981 |
https://api.github.com/repos/huggingface/datasets/issues/6679/events
|
https://api.github.com/repos/huggingface/datasets
| false |
{
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/albertvillanova",
"id": 8515462,
"login": "albertvillanova",
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"type": "User",
"url": "https://api.github.com/users/albertvillanova"
}
|
https://api.github.com/repos/huggingface/datasets/issues/6679/comments
| null | null |
I_kwDODunzps5_q5-9
|
https://api.github.com/repos/huggingface/datasets/issues/6679
|
MEMBER
|
https://github.com/huggingface/datasets/issues/6679
|
Node.js 16 GitHub Actions are deprecated
| false |
closed
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/albertvillanova",
"id": 8515462,
"login": "albertvillanova",
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"type": "User",
"url": "https://api.github.com/users/albertvillanova"
}
| null | null |
[] | null |
https://api.github.com/repos/huggingface/datasets/issues/6678/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6678/reactions"
}
| 2024-02-19T10:03:00 | 6,678 | false |
{
"diff_url": "https://github.com/huggingface/datasets/pull/6678.diff",
"html_url": "https://github.com/huggingface/datasets/pull/6678",
"merged_at": "2024-02-19T09:56:52",
"patch_url": "https://github.com/huggingface/datasets/pull/6678.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/6678"
}
|
[] |
https://api.github.com/repos/huggingface/datasets/issues/6678/labels{/name}
| 2024-02-19T09:56:52 | 2024-02-19T09:24:29 | null | 2,141,902,154 |
https://api.github.com/repos/huggingface/datasets/issues/6678/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6678/comments
| null | null |
PR_kwDODunzps5nQ2ZO
|
https://api.github.com/repos/huggingface/datasets/issues/6678
|
MEMBER
|
https://github.com/huggingface/datasets/pull/6678
|
Release: 2.17.1
| true |
open
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/94808782?v=4",
"events_url": "https://api.github.com/users/stridge-cruxml/events{/privacy}",
"followers_url": "https://api.github.com/users/stridge-cruxml/followers",
"following_url": "https://api.github.com/users/stridge-cruxml/following{/other_user}",
"gists_url": "https://api.github.com/users/stridge-cruxml/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/stridge-cruxml",
"id": 94808782,
"login": "stridge-cruxml",
"node_id": "U_kgDOBaaqzg",
"organizations_url": "https://api.github.com/users/stridge-cruxml/orgs",
"received_events_url": "https://api.github.com/users/stridge-cruxml/received_events",
"repos_url": "https://api.github.com/users/stridge-cruxml/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/stridge-cruxml/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/stridge-cruxml/subscriptions",
"type": "User",
"url": "https://api.github.com/users/stridge-cruxml"
}
|
If cache directory is set, information is not passed through.
Pass download config in as an arg too.
| null |
[] |
If cache directory is set, information is not passed through.
Pass download config in as an arg too.
|
https://api.github.com/repos/huggingface/datasets/issues/6677/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6677/reactions"
}
| 2024-02-18T23:48:57 | 6,677 | false |
{
"diff_url": "https://github.com/huggingface/datasets/pull/6677.diff",
"html_url": "https://github.com/huggingface/datasets/pull/6677",
"merged_at": null,
"patch_url": "https://github.com/huggingface/datasets/pull/6677.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/6677"
}
|
[] |
https://api.github.com/repos/huggingface/datasets/issues/6677/labels{/name}
| null | 2024-02-18T23:48:57 | null | 2,141,244,167 |
https://api.github.com/repos/huggingface/datasets/issues/6677/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6677/comments
| null | null |
PR_kwDODunzps5nOmo_
|
https://api.github.com/repos/huggingface/datasets/issues/6677
|
NONE
|
https://github.com/huggingface/datasets/pull/6677
|
Pass through information about location of cache directory.
| true |
open
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/20232088?v=4",
"events_url": "https://api.github.com/users/lordsoffallen/events{/privacy}",
"followers_url": "https://api.github.com/users/lordsoffallen/followers",
"following_url": "https://api.github.com/users/lordsoffallen/following{/other_user}",
"gists_url": "https://api.github.com/users/lordsoffallen/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/lordsoffallen",
"id": 20232088,
"login": "lordsoffallen",
"node_id": "MDQ6VXNlcjIwMjMyMDg4",
"organizations_url": "https://api.github.com/users/lordsoffallen/orgs",
"received_events_url": "https://api.github.com/users/lordsoffallen/received_events",
"repos_url": "https://api.github.com/users/lordsoffallen/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/lordsoffallen/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lordsoffallen/subscriptions",
"type": "User",
"url": "https://api.github.com/users/lordsoffallen"
}
|
### Describe the bug
Trying to read a bunch of JSON files into Dataset class but default approach doesn't work. I don't get why it works when I read it one by one but not when I pass as a list :man_shrugging:
The code fails with
```
ArrowInvalid: JSON parse error: Invalid value. in row 0
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x80 in position 0: invalid start byte
DatasetGenerationError: An error occurred while generating the dataset
```
### Steps to reproduce the bug
This doesn't work
```
from datasets import Dataset
# dir contains 100 json files.
Dataset.from_json("/PUT SOME PATH HERE/*")
```
This works:
```
from datasets import concatenate_datasets
ls_ds = []
for file in list_of_json_files:
ls_ds.append(Dataset.from_json(file))
ds = concatenate_datasets(ls_ds)
```
### Expected behavior
I expect this to read json files properly as error is not clear
### Environment info
- `datasets` version: 2.17.0
- Platform: Linux-6.5.0-15-generic-x86_64-with-glibc2.35
- Python version: 3.10.13
- `huggingface_hub` version: 0.20.2
- PyArrow version: 15.0.0
- Pandas version: 2.2.0
- `fsspec` version: 2023.10.0
| null |
[] |
### Describe the bug
Trying to read a bunch of JSON files into Dataset class but default approach doesn't work. I don't get why it works when I read it one by one but not when I pass as a list :man_shrugging:
The code fails with
```
ArrowInvalid: JSON parse error: Invalid value. in row 0
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x80 in position 0: invalid start byte
DatasetGenerationError: An error occurred while generating the dataset
```
### Steps to reproduce the bug
This doesn't work
```
from datasets import Dataset
# dir contains 100 json files.
Dataset.from_json("/PUT SOME PATH HERE/*")
```
This works:
```
from datasets import concatenate_datasets
ls_ds = []
for file in list_of_json_files:
ls_ds.append(Dataset.from_json(file))
ds = concatenate_datasets(ls_ds)
```
### Expected behavior
I expect this to read json files properly as error is not clear
### Environment info
- `datasets` version: 2.17.0
- Platform: Linux-6.5.0-15-generic-x86_64-with-glibc2.35
- Python version: 3.10.13
- `huggingface_hub` version: 0.20.2
- PyArrow version: 15.0.0
- Pandas version: 2.2.0
- `fsspec` version: 2023.10.0
|
https://api.github.com/repos/huggingface/datasets/issues/6676/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6676/reactions"
}
| 2024-02-17T23:11:12 | 6,676 | null | null |
[] |
https://api.github.com/repos/huggingface/datasets/issues/6676/labels{/name}
| null | 2024-02-17T22:58:15 | null | 2,140,648,619 |
https://api.github.com/repos/huggingface/datasets/issues/6676/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6676/comments
| null | null |
I_kwDODunzps5_l7Sr
|
https://api.github.com/repos/huggingface/datasets/issues/6676
|
NONE
|
https://github.com/huggingface/datasets/issues/6676
|
Can't Read List of JSON Files Properly
| false |
open
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/5702664?v=4",
"events_url": "https://api.github.com/users/rwightman/events{/privacy}",
"followers_url": "https://api.github.com/users/rwightman/followers",
"following_url": "https://api.github.com/users/rwightman/following{/other_user}",
"gists_url": "https://api.github.com/users/rwightman/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/rwightman",
"id": 5702664,
"login": "rwightman",
"node_id": "MDQ6VXNlcjU3MDI2NjQ=",
"organizations_url": "https://api.github.com/users/rwightman/orgs",
"received_events_url": "https://api.github.com/users/rwightman/received_events",
"repos_url": "https://api.github.com/users/rwightman/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/rwightman/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/rwightman/subscriptions",
"type": "User",
"url": "https://api.github.com/users/rwightman"
}
|
### Feature request
Typical torchvision / torch Datasets in image applications apply color conversion in the Dataset portion of the code as part of image decode, separately from the image transform stack. This is true for PIL.Image where convert is usually called in dataset, for native torchvision https://pytorch.org/vision/main/generated/torchvision.io.decode_jpeg.html, and similarly in tensorflow.data pipelines decode_jpeg or https://www.tensorflow.org/api_docs/python/tf/io/decode_and_crop_jpeg have a channels arg that allows controlling the image mode in the decode step.
datasets currently requires this pattern (from [examples](https://huggingface.co/docs/datasets/main/en/image_process)):
```
from torchvision.transforms import Compose, ColorJitter, ToTensor
jitter = Compose(
[
ColorJitter(brightness=0.25, contrast=0.25, saturation=0.25, hue=0.7),
ToTensor(),
]
)
def transforms(examples):
examples["pixel_values"] = [jitter(image.convert("RGB")) for image in examples["image"]]
return examples
```
### Motivation
It would be nice to be able to handle `image.convert("RGB")` (or other modes) in the decode step, before applying torchvision transforms, this would reduce differences in code when handling pipelines that can handle torchvision, webdatset, or hf datasets with fewer code differences and without needing to handle image mode argument passing in two different stages of the pipelines...
### Your contribution
Can do a PR with guidance on how mode should be passed / set on the dataset.
| null |
[] |
### Feature request
Typical torchvision / torch Datasets in image applications apply color conversion in the Dataset portion of the code as part of image decode, separately from the image transform stack. This is true for PIL.Image where convert is usually called in dataset, for native torchvision https://pytorch.org/vision/main/generated/torchvision.io.decode_jpeg.html, and similarly in tensorflow.data pipelines decode_jpeg or https://www.tensorflow.org/api_docs/python/tf/io/decode_and_crop_jpeg have a channels arg that allows controlling the image mode in the decode step.
datasets currently requires this pattern (from [examples](https://huggingface.co/docs/datasets/main/en/image_process)):
```
from torchvision.transforms import Compose, ColorJitter, ToTensor
jitter = Compose(
[
ColorJitter(brightness=0.25, contrast=0.25, saturation=0.25, hue=0.7),
ToTensor(),
]
)
def transforms(examples):
examples["pixel_values"] = [jitter(image.convert("RGB")) for image in examples["image"]]
return examples
```
### Motivation
It would be nice to be able to handle `image.convert("RGB")` (or other modes) in the decode step, before applying torchvision transforms, this would reduce differences in code when handling pipelines that can handle torchvision, webdatset, or hf datasets with fewer code differences and without needing to handle image mode argument passing in two different stages of the pipelines...
### Your contribution
Can do a PR with guidance on how mode should be passed / set on the dataset.
|
https://api.github.com/repos/huggingface/datasets/issues/6675/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6675/reactions"
}
| 2024-02-16T23:47:03 | 6,675 | null | null |
[
{
"color": "a2eeef",
"default": true,
"description": "New feature or request",
"id": 1935892871,
"name": "enhancement",
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement"
}
] |
https://api.github.com/repos/huggingface/datasets/issues/6675/labels{/name}
| null | 2024-02-16T23:43:20 | null | 2,139,640,381 |
https://api.github.com/repos/huggingface/datasets/issues/6675/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6675/comments
| null | null |
I_kwDODunzps5_iFI9
|
https://api.github.com/repos/huggingface/datasets/issues/6675
|
NONE
|
https://github.com/huggingface/datasets/issues/6675
|
Allow image model (color conversion) to be specified as part of datasets Image() decode
| false |
closed
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/55932554?v=4",
"events_url": "https://api.github.com/users/Codeblockz/events{/privacy}",
"followers_url": "https://api.github.com/users/Codeblockz/followers",
"following_url": "https://api.github.com/users/Codeblockz/following{/other_user}",
"gists_url": "https://api.github.com/users/Codeblockz/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/Codeblockz",
"id": 55932554,
"login": "Codeblockz",
"node_id": "MDQ6VXNlcjU1OTMyNTU0",
"organizations_url": "https://api.github.com/users/Codeblockz/orgs",
"received_events_url": "https://api.github.com/users/Codeblockz/received_events",
"repos_url": "https://api.github.com/users/Codeblockz/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/Codeblockz/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Codeblockz/subscriptions",
"type": "User",
"url": "https://api.github.com/users/Codeblockz"
}
|
### Describe the bug
For the dreprecated notebook found [here](https://github.com/huggingface/datasets/blob/main/notebooks/Overview.ipynb). The link to the new notebook is broken.
### Steps to reproduce the bug
Click the [Quickstart notebook](https://github.com/huggingface/notebooks/blob/main/datasets_doc/quickstart.ipynb) link in the notebook.
### Expected behavior
I believe is it suposed to link [here](https://github.com/huggingface/notebooks/blob/main/datasets_doc/en/quickstart.ipynb). That is mentioned in the readme.
### Environment info
Colab
| null |
[] |
### Describe the bug
For the dreprecated notebook found [here](https://github.com/huggingface/datasets/blob/main/notebooks/Overview.ipynb). The link to the new notebook is broken.
### Steps to reproduce the bug
Click the [Quickstart notebook](https://github.com/huggingface/notebooks/blob/main/datasets_doc/quickstart.ipynb) link in the notebook.
### Expected behavior
I believe is it suposed to link [here](https://github.com/huggingface/notebooks/blob/main/datasets_doc/en/quickstart.ipynb). That is mentioned in the readme.
### Environment info
Colab
|
https://api.github.com/repos/huggingface/datasets/issues/6674/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6674/reactions"
}
| 2024-02-25T18:48:09 | 6,674 | null | null |
[] |
https://api.github.com/repos/huggingface/datasets/issues/6674/labels{/name}
| 2024-02-25T18:48:09 | 2024-02-16T22:51:35 | null | 2,139,595,576 |
https://api.github.com/repos/huggingface/datasets/issues/6674/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6674/comments
| null | null |
I_kwDODunzps5_h6M4
|
https://api.github.com/repos/huggingface/datasets/issues/6674
|
CONTRIBUTOR
|
https://github.com/huggingface/datasets/issues/6674
|
Depprcated Overview.ipynb Link to new Quickstart Notebook invalid
| false |
open
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/5702664?v=4",
"events_url": "https://api.github.com/users/rwightman/events{/privacy}",
"followers_url": "https://api.github.com/users/rwightman/followers",
"following_url": "https://api.github.com/users/rwightman/following{/other_user}",
"gists_url": "https://api.github.com/users/rwightman/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/rwightman",
"id": 5702664,
"login": "rwightman",
"node_id": "MDQ6VXNlcjU3MDI2NjQ=",
"organizations_url": "https://api.github.com/users/rwightman/orgs",
"received_events_url": "https://api.github.com/users/rwightman/received_events",
"repos_url": "https://api.github.com/users/rwightman/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/rwightman/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/rwightman/subscriptions",
"type": "User",
"url": "https://api.github.com/users/rwightman"
}
|
### Describe the bug
When persistent workers are enabled, the epoch that's set via the IterableDataset instance held by the training process is ignored by the workers as they are disconnected across processes.
PyTorch samplers for non-iterable datasets have a mechanism to sync this, datasets.IterableDataset does not.
In my own use of IterableDatasets I usually track the epoch count which crosses process boundaries in a multiprocessing.Value
### Steps to reproduce the bug
Use a streaming dataset (Iterable) w/ the recommended pattern below and `persistent_workers=True` in the torch DataLoader.
```
for epoch in range(epochs):
shuffled_dataset.set_epoch(epoch)
for example in shuffled_dataset:
...
```
### Expected behavior
When the canonical bit of code above is used with `num_workers > 0` and `persistent_workers=True`, the epoch set via `set_epoch()` is propagated to the IterableDataset instances in the worker processes
### Environment info
N/A
| null |
[] |
### Describe the bug
When persistent workers are enabled, the epoch that's set via the IterableDataset instance held by the training process is ignored by the workers as they are disconnected across processes.
PyTorch samplers for non-iterable datasets have a mechanism to sync this, datasets.IterableDataset does not.
In my own use of IterableDatasets I usually track the epoch count which crosses process boundaries in a multiprocessing.Value
### Steps to reproduce the bug
Use a streaming dataset (Iterable) w/ the recommended pattern below and `persistent_workers=True` in the torch DataLoader.
```
for epoch in range(epochs):
shuffled_dataset.set_epoch(epoch)
for example in shuffled_dataset:
...
```
### Expected behavior
When the canonical bit of code above is used with `num_workers > 0` and `persistent_workers=True`, the epoch set via `set_epoch()` is propagated to the IterableDataset instances in the worker processes
### Environment info
N/A
|
https://api.github.com/repos/huggingface/datasets/issues/6673/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6673/reactions"
}
| 2024-02-22T13:17:14 | 6,673 | null | null |
[
{
"color": "d73a4a",
"default": true,
"description": "Something isn't working",
"id": 1935892857,
"name": "bug",
"node_id": "MDU6TGFiZWwxOTM1ODkyODU3",
"url": "https://api.github.com/repos/huggingface/datasets/labels/bug"
},
{
"color": "fef2c0",
"default": false,
"description": "",
"id": 3287858981,
"name": "streaming",
"node_id": "MDU6TGFiZWwzMjg3ODU4OTgx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/streaming"
}
] |
https://api.github.com/repos/huggingface/datasets/issues/6673/labels{/name}
| null | 2024-02-16T21:38:12 | null | 2,139,522,827 |
https://api.github.com/repos/huggingface/datasets/issues/6673/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6673/comments
| null | null |
I_kwDODunzps5_hocL
|
https://api.github.com/repos/huggingface/datasets/issues/6673
|
NONE
|
https://github.com/huggingface/datasets/issues/6673
|
IterableDataset `set_epoch` is ignored when DataLoader `persistent_workers=True`
| false |
closed
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/albertvillanova",
"id": 8515462,
"login": "albertvillanova",
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"type": "User",
"url": "https://api.github.com/users/albertvillanova"
}
|
Remove deprecated `verbose` parameter from CSV builder.
Note that the `verbose` parameter is deprecated since pandas 2.2.0. See:
- https://github.com/pandas-dev/pandas/pull/56556
- https://github.com/pandas-dev/pandas/pull/57450
Fix #6671.
| null |
[] |
Remove deprecated `verbose` parameter from CSV builder.
Note that the `verbose` parameter is deprecated since pandas 2.2.0. See:
- https://github.com/pandas-dev/pandas/pull/56556
- https://github.com/pandas-dev/pandas/pull/57450
Fix #6671.
|
https://api.github.com/repos/huggingface/datasets/issues/6672/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6672/reactions"
}
| 2024-02-19T09:26:34 | 6,672 | false |
{
"diff_url": "https://github.com/huggingface/datasets/pull/6672.diff",
"html_url": "https://github.com/huggingface/datasets/pull/6672",
"merged_at": "2024-02-19T09:20:22",
"patch_url": "https://github.com/huggingface/datasets/pull/6672.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/6672"
}
|
[] |
https://api.github.com/repos/huggingface/datasets/issues/6672/labels{/name}
| 2024-02-19T09:20:22 | 2024-02-16T14:26:21 | null | 2,138,732,288 |
https://api.github.com/repos/huggingface/datasets/issues/6672/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6672/comments
| null | null |
PR_kwDODunzps5nGAlw
|
https://api.github.com/repos/huggingface/datasets/issues/6672
|
MEMBER
|
https://github.com/huggingface/datasets/pull/6672
|
Remove deprecated verbose parameter from CSV builder
| true |
closed
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/albertvillanova",
"id": 8515462,
"login": "albertvillanova",
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"type": "User",
"url": "https://api.github.com/users/albertvillanova"
}
|
CSV builder raises a deprecation warning on `verbose` parameter:
```
FutureWarning: The 'verbose' keyword in pd.read_csv is deprecated and will be removed in a future version.
```
See:
- https://github.com/pandas-dev/pandas/pull/56556
- https://github.com/pandas-dev/pandas/pull/57450
| null |
[
{
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/albertvillanova",
"id": 8515462,
"login": "albertvillanova",
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"type": "User",
"url": "https://api.github.com/users/albertvillanova"
}
] |
CSV builder raises a deprecation warning on `verbose` parameter:
```
FutureWarning: The 'verbose' keyword in pd.read_csv is deprecated and will be removed in a future version.
```
See:
- https://github.com/pandas-dev/pandas/pull/56556
- https://github.com/pandas-dev/pandas/pull/57450
|
https://api.github.com/repos/huggingface/datasets/issues/6671/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6671/reactions"
}
| 2024-02-19T09:20:23 | 6,671 | null | null |
[] |
https://api.github.com/repos/huggingface/datasets/issues/6671/labels{/name}
| 2024-02-19T09:20:23 | 2024-02-16T14:23:46 | null | 2,138,727,870 |
https://api.github.com/repos/huggingface/datasets/issues/6671/events
|
https://api.github.com/repos/huggingface/datasets
| false |
{
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/albertvillanova",
"id": 8515462,
"login": "albertvillanova",
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"type": "User",
"url": "https://api.github.com/users/albertvillanova"
}
|
https://api.github.com/repos/huggingface/datasets/issues/6671/comments
| null | null |
I_kwDODunzps5_emW-
|
https://api.github.com/repos/huggingface/datasets/issues/6671
|
MEMBER
|
https://github.com/huggingface/datasets/issues/6671
|
CSV builder raises deprecation warning on verbose parameter
| false |
closed
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/112316000?v=4",
"events_url": "https://api.github.com/users/prashanth19bolukonda/events{/privacy}",
"followers_url": "https://api.github.com/users/prashanth19bolukonda/followers",
"following_url": "https://api.github.com/users/prashanth19bolukonda/following{/other_user}",
"gists_url": "https://api.github.com/users/prashanth19bolukonda/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/prashanth19bolukonda",
"id": 112316000,
"login": "prashanth19bolukonda",
"node_id": "U_kgDOBrHOYA",
"organizations_url": "https://api.github.com/users/prashanth19bolukonda/orgs",
"received_events_url": "https://api.github.com/users/prashanth19bolukonda/received_events",
"repos_url": "https://api.github.com/users/prashanth19bolukonda/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/prashanth19bolukonda/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/prashanth19bolukonda/subscriptions",
"type": "User",
"url": "https://api.github.com/users/prashanth19bolukonda"
}
|
### Describe the bug
ValueError Traceback (most recent call last)
[<ipython-input-11-9b99bc80ec23>](https://localhost:8080/#) in <cell line: 11>()
9 import numpy as np
10 import matplotlib.pyplot as plt
---> 11 from datasets import DatasetDict, Dataset
12 from transformers import AutoTokenizer, AutoModelForSequenceClassification
13 from transformers import Trainer, TrainingArguments
5 frames
[/usr/local/lib/python3.10/dist-packages/datasets/__init__.py](https://localhost:8080/#) in <module>
16 __version__ = "2.17.0"
17
---> 18 from .arrow_dataset import Dataset
19 from .arrow_reader import ReadInstruction
20 from .builder import ArrowBasedBuilder, BeamBasedBuilder, BuilderConfig, DatasetBuilder, GeneratorBasedBuilder
[/usr/local/lib/python3.10/dist-packages/datasets/arrow_dataset.py](https://localhost:8080/#) in <module>
65
66 from . import config
---> 67 from .arrow_reader import ArrowReader
68 from .arrow_writer import ArrowWriter, OptimizedTypedSequence
69 from .data_files import sanitize_patterns
[/usr/local/lib/python3.10/dist-packages/datasets/arrow_reader.py](https://localhost:8080/#) in <module>
27
28 import pyarrow as pa
---> 29 import pyarrow.parquet as pq
30 from tqdm.contrib.concurrent import thread_map
31
[/usr/local/lib/python3.10/dist-packages/pyarrow/parquet/__init__.py](https://localhost:8080/#) in <module>
18 # flake8: noqa
19
---> 20 from .core import *
[/usr/local/lib/python3.10/dist-packages/pyarrow/parquet/core.py](https://localhost:8080/#) in <module>
34 import pyarrow as pa
35 import pyarrow.lib as lib
---> 36 import pyarrow._parquet as _parquet
37
38 from pyarrow._parquet import (ParquetReader, Statistics, # noqa
/usr/local/lib/python3.10/dist-packages/pyarrow/_parquet.pyx in init pyarrow._parquet()
ValueError: pyarrow.lib.IpcWriteOptions size changed, may indicate binary incompatibility. Expected 88 from C header, got 72 from PyObject
### Steps to reproduce the bug
ValueError: pyarrow.lib.IpcWriteOptions size changed, may indicate binary incompatibility. Expected 88 from C header, got 72 from PyObject
### Expected behavior
Resolve the binary incompatibility
### Environment info
Google Colab Note book
| null |
[] |
### Describe the bug
ValueError Traceback (most recent call last)
[<ipython-input-11-9b99bc80ec23>](https://localhost:8080/#) in <cell line: 11>()
9 import numpy as np
10 import matplotlib.pyplot as plt
---> 11 from datasets import DatasetDict, Dataset
12 from transformers import AutoTokenizer, AutoModelForSequenceClassification
13 from transformers import Trainer, TrainingArguments
5 frames
[/usr/local/lib/python3.10/dist-packages/datasets/__init__.py](https://localhost:8080/#) in <module>
16 __version__ = "2.17.0"
17
---> 18 from .arrow_dataset import Dataset
19 from .arrow_reader import ReadInstruction
20 from .builder import ArrowBasedBuilder, BeamBasedBuilder, BuilderConfig, DatasetBuilder, GeneratorBasedBuilder
[/usr/local/lib/python3.10/dist-packages/datasets/arrow_dataset.py](https://localhost:8080/#) in <module>
65
66 from . import config
---> 67 from .arrow_reader import ArrowReader
68 from .arrow_writer import ArrowWriter, OptimizedTypedSequence
69 from .data_files import sanitize_patterns
[/usr/local/lib/python3.10/dist-packages/datasets/arrow_reader.py](https://localhost:8080/#) in <module>
27
28 import pyarrow as pa
---> 29 import pyarrow.parquet as pq
30 from tqdm.contrib.concurrent import thread_map
31
[/usr/local/lib/python3.10/dist-packages/pyarrow/parquet/__init__.py](https://localhost:8080/#) in <module>
18 # flake8: noqa
19
---> 20 from .core import *
[/usr/local/lib/python3.10/dist-packages/pyarrow/parquet/core.py](https://localhost:8080/#) in <module>
34 import pyarrow as pa
35 import pyarrow.lib as lib
---> 36 import pyarrow._parquet as _parquet
37
38 from pyarrow._parquet import (ParquetReader, Statistics, # noqa
/usr/local/lib/python3.10/dist-packages/pyarrow/_parquet.pyx in init pyarrow._parquet()
ValueError: pyarrow.lib.IpcWriteOptions size changed, may indicate binary incompatibility. Expected 88 from C header, got 72 from PyObject
### Steps to reproduce the bug
ValueError: pyarrow.lib.IpcWriteOptions size changed, may indicate binary incompatibility. Expected 88 from C header, got 72 from PyObject
### Expected behavior
Resolve the binary incompatibility
### Environment info
Google Colab Note book
|
https://api.github.com/repos/huggingface/datasets/issues/6670/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6670/reactions"
}
| 2024-02-17T04:26:34 | 6,670 | null | null |
[] |
https://api.github.com/repos/huggingface/datasets/issues/6670/labels{/name}
| 2024-02-16T14:43:53 | 2024-02-16T11:05:17 | null | 2,138,372,958 |
https://api.github.com/repos/huggingface/datasets/issues/6670/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6670/comments
| null | null |
I_kwDODunzps5_dPte
|
https://api.github.com/repos/huggingface/datasets/issues/6670
|
NONE
|
https://github.com/huggingface/datasets/issues/6670
|
ValueError
| false |
open
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/112316000?v=4",
"events_url": "https://api.github.com/users/prashanth19bolukonda/events{/privacy}",
"followers_url": "https://api.github.com/users/prashanth19bolukonda/followers",
"following_url": "https://api.github.com/users/prashanth19bolukonda/following{/other_user}",
"gists_url": "https://api.github.com/users/prashanth19bolukonda/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/prashanth19bolukonda",
"id": 112316000,
"login": "prashanth19bolukonda",
"node_id": "U_kgDOBrHOYA",
"organizations_url": "https://api.github.com/users/prashanth19bolukonda/orgs",
"received_events_url": "https://api.github.com/users/prashanth19bolukonda/received_events",
"repos_url": "https://api.github.com/users/prashanth19bolukonda/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/prashanth19bolukonda/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/prashanth19bolukonda/subscriptions",
"type": "User",
"url": "https://api.github.com/users/prashanth19bolukonda"
}
|
### Describe the bug
AttributeError Traceback (most recent call last)
Cell In[39], line 2
1 # Start the training process
----> 2 trainer.train()
File /opt/conda/lib/python3.10/site-packages/transformers/trainer.py:1539, in Trainer.train(self, resume_from_checkpoint, trial, ignore_keys_for_eval, **kwargs)
1537 hf_hub_utils.enable_progress_bars()
1538 else:
-> 1539 return inner_training_loop(
1540 args=args,
1541 resume_from_checkpoint=resume_from_checkpoint,
1542 trial=trial,
1543 ignore_keys_for_eval=ignore_keys_for_eval,
1544 )
File /opt/conda/lib/python3.10/site-packages/transformers/trainer.py:1836, in Trainer._inner_training_loop(self, batch_size, args, resume_from_checkpoint, trial, ignore_keys_for_eval)
1833 rng_to_sync = True
1835 step = -1
-> 1836 for step, inputs in enumerate(epoch_iterator):
1837 total_batched_samples += 1
1839 if self.args.include_num_input_tokens_seen:
File /opt/conda/lib/python3.10/site-packages/accelerate/data_loader.py:451, in DataLoaderShard.__iter__(self)
449 # We iterate one batch ahead to check when we are at the end
450 try:
--> 451 current_batch = next(dataloader_iter)
452 except StopIteration:
453 yield
File /opt/conda/lib/python3.10/site-packages/torch/utils/data/dataloader.py:630, in _BaseDataLoaderIter.__next__(self)
627 if self._sampler_iter is None:
628 # TODO([https://github.com/pytorch/pytorch/issues/76750)](https://github.com/pytorch/pytorch/issues/76750)%3C/span%3E)
629 self._reset() # type: ignore[call-arg]
--> 630 data = self._next_data()
631 self._num_yielded += 1
632 if self._dataset_kind == _DatasetKind.Iterable and \
633 self._IterableDataset_len_called is not None and \
634 self._num_yielded > self._IterableDataset_len_called:
File /opt/conda/lib/python3.10/site-packages/torch/utils/data/dataloader.py:674, in _SingleProcessDataLoaderIter._next_data(self)
672 def _next_data(self):
673 index = self._next_index() # may raise StopIteration
--> 674 data = self._dataset_fetcher.fetch(index) # may raise StopIteration
675 if self._pin_memory:
676 data = _utils.pin_memory.pin_memory(data, self._pin_memory_device)
File /opt/conda/lib/python3.10/site-packages/torch/utils/data/_utils/fetch.py:51, in _MapDatasetFetcher.fetch(self, possibly_batched_index)
49 data = self.dataset.__getitems__(possibly_batched_index)
50 else:
---> 51 data = [self.dataset[idx] for idx in possibly_batched_index]
52 else:
53 data = self.dataset[possibly_batched_index]
File /opt/conda/lib/python3.10/site-packages/torch/utils/data/_utils/fetch.py:51, in <listcomp>(.0)
49 data = self.dataset.__getitems__(possibly_batched_index)
50 else:
---> 51 data = [self.dataset[idx] for idx in possibly_batched_index]
52 else:
53 data = self.dataset[possibly_batched_index]
File /opt/conda/lib/python3.10/site-packages/datasets/arrow_dataset.py:1764, in Dataset.__getitem__(self, key)
1762 def __getitem__(self, key): # noqa: F811
1763 """Can be used to index columns (by string names) or rows (by integer index or iterable of indices or bools)."""
-> 1764 return self._getitem(
1765 key,
1766 )
File /opt/conda/lib/python3.10/site-packages/datasets/arrow_dataset.py:1749, in Dataset._getitem(self, key, decoded, **kwargs)
1747 formatter = get_formatter(format_type, features=self.features, decoded=decoded, **format_kwargs)
1748 pa_subtable = query_table(self._data, key, indices=self._indices if self._indices is not None else None)
-> 1749 formatted_output = format_table(
1750 pa_subtable, key, formatter=formatter, format_columns=format_columns, output_all_columns=output_all_columns
1751 )
1752 return formatted_output
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:540, in format_table(table, key, formatter, format_columns, output_all_columns)
538 else:
539 pa_table_to_format = pa_table.drop(col for col in pa_table.column_names if col not in format_columns)
--> 540 formatted_output = formatter(pa_table_to_format, query_type=query_type)
541 if output_all_columns:
542 if isinstance(formatted_output, MutableMapping):
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:281, in Formatter.__call__(self, pa_table, query_type)
279 def __call__(self, pa_table: pa.Table, query_type: str) -> Union[RowFormat, ColumnFormat, BatchFormat]:
280 if query_type == "row":
--> 281 return self.format_row(pa_table)
282 elif query_type == "column":
283 return self.format_column(pa_table)
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/torch_formatter.py:57, in TorchFormatter.format_row(self, pa_table)
56 def format_row(self, pa_table: pa.Table) -> dict:
---> 57 row = self.numpy_arrow_extractor().extract_row(pa_table)
58 return self.recursive_tensorize(row)
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:154, in NumpyArrowExtractor.extract_row(self, pa_table)
153 def extract_row(self, pa_table: pa.Table) -> dict:
--> 154 return _unnest(self.extract_batch(pa_table))
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:160, in NumpyArrowExtractor.extract_batch(self, pa_table)
159 def extract_batch(self, pa_table: pa.Table) -> dict:
--> 160 return {col: self._arrow_array_to_numpy(pa_table[col]) for col in pa_table.column_names}
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:160, in <dictcomp>(.0)
159 def extract_batch(self, pa_table: pa.Table) -> dict:
--> 160 return {col: self._arrow_array_to_numpy(pa_table[col]) for col in pa_table.column_names}
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:196, in NumpyArrowExtractor._arrow_array_to_numpy(self, pa_array)
194 array: List = pa_array.to_numpy(zero_copy_only=zero_copy_only).tolist()
195 if len(array) > 0:
--> 196 if any(
197 (isinstance(x, np.ndarray) and (x.dtype == np.object or x.shape != array[0].shape))
198 or (isinstance(x, float) and np.isnan(x))
199 for x in array
200 ):
201 return np.array(array, copy=False, **{**self.np_array_kwargs, "dtype": np.object})
202 return np.array(array, copy=False, **self.np_array_kwargs)
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:197, in <genexpr>(.0)
194 array: List = pa_array.to_numpy(zero_copy_only=zero_copy_only).tolist()
195 if len(array) > 0:
196 if any(
--> 197 (isinstance(x, np.ndarray) and (x.dtype == np.object or x.shape != array[0].shape))
198 or (isinstance(x, float) and np.isnan(x))
199 for x in array
200 ):
201 return np.array(array, copy=False, **{**self.np_array_kwargs, "dtype": np.object})
202 return np.array(array, copy=False, **self.np_array_kwargs)
File /opt/conda/lib/python3.10/site-packages/numpy/__init__.py:324, in __getattr__(attr)
319 warnings.warn(
320 f"In the future `np.{attr}` will be defined as the "
321 "corresponding NumPy scalar.", FutureWarning, stacklevel=2)
323 if attr in __former_attrs__:
--> 324 raise AttributeError(__former_attrs__[attr])
326 if attr == 'testing':
327 import numpy.testing as testing
AttributeError: module 'numpy' has no attribute 'object'.
`np.object` was a deprecated alias for the builtin `object`. To avoid this error in existing code, use `object` by itself. Doing this will not modify any behavior and is safe.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecationsAttributeError Traceback (most recent call last)
Cell In[39], line 2
1 # Start the training process
----> 2 trainer.train()
File /opt/conda/lib/python3.10/site-packages/transformers/trainer.py:1539, in Trainer.train(self, resume_from_checkpoint, trial, ignore_keys_for_eval, **kwargs)
1537 hf_hub_utils.enable_progress_bars()
1538 else:
-> 1539 return inner_training_loop(
1540 args=args,
1541 resume_from_checkpoint=resume_from_checkpoint,
1542 trial=trial,
1543 ignore_keys_for_eval=ignore_keys_for_eval,
1544 )
File /opt/conda/lib/python3.10/site-packages/transformers/trainer.py:1836, in Trainer._inner_training_loop(self, batch_size, args, resume_from_checkpoint, trial, ignore_keys_for_eval)
1833 rng_to_sync = True
1835 step = -1
-> 1836 for step, inputs in enumerate(epoch_iterator):
1837 total_batched_samples += 1
1839 if self.args.include_num_input_tokens_seen:
File /opt/conda/lib/python3.10/site-packages/accelerate/data_loader.py:451, in DataLoaderShard.__iter__(self)
449 # We iterate one batch ahead to check when we are at the end
450 try:
--> 451 current_batch = next(dataloader_iter)
452 except StopIteration:
453 yield
File /opt/conda/lib/python3.10/site-packages/torch/utils/data/dataloader.py:630, in _BaseDataLoaderIter.__next__(self)
627 if self._sampler_iter is None:
628 # TODO([https://github.com/pytorch/pytorch/issues/76750)](https://github.com/pytorch/pytorch/issues/76750)%3C/span%3E)
629 self._reset() # type: ignore[call-arg]
--> 630 data = self._next_data()
631 self._num_yielded += 1
632 if self._dataset_kind == _DatasetKind.Iterable and \
633 self._IterableDataset_len_called is not None and \
634 self._num_yielded > self._IterableDataset_len_called:
File /opt/conda/lib/python3.10/site-packages/torch/utils/data/dataloader.py:674, in _SingleProcessDataLoaderIter._next_data(self)
672 def _next_data(self):
673 index = self._next_index() # may raise StopIteration
--> 674 data = self._dataset_fetcher.fetch(index) # may raise StopIteration
675 if self._pin_memory:
676 data = _utils.pin_memory.pin_memory(data, self._pin_memory_device)
File /opt/conda/lib/python3.10/site-packages/torch/utils/data/_utils/fetch.py:51, in _MapDatasetFetcher.fetch(self, possibly_batched_index)
49 data = self.dataset.__getitems__(possibly_batched_index)
50 else:
---> 51 data = [self.dataset[idx] for idx in possibly_batched_index]
52 else:
53 data = self.dataset[possibly_batched_index]
File /opt/conda/lib/python3.10/site-packages/torch/utils/data/_utils/fetch.py:51, in <listcomp>(.0)
49 data = self.dataset.__getitems__(possibly_batched_index)
50 else:
---> 51 data = [self.dataset[idx] for idx in possibly_batched_index]
52 else:
53 data = self.dataset[possibly_batched_index]
File /opt/conda/lib/python3.10/site-packages/datasets/arrow_dataset.py:1764, in Dataset.__getitem__(self, key)
1762 def __getitem__(self, key): # noqa: F811
1763 """Can be used to index columns (by string names) or rows (by integer index or iterable of indices or bools)."""
-> 1764 return self._getitem(
1765 key,
1766 )
File /opt/conda/lib/python3.10/site-packages/datasets/arrow_dataset.py:1749, in Dataset._getitem(self, key, decoded, **kwargs)
1747 formatter = get_formatter(format_type, features=self.features, decoded=decoded, **format_kwargs)
1748 pa_subtable = query_table(self._data, key, indices=self._indices if self._indices is not None else None)
-> 1749 formatted_output = format_table(
1750 pa_subtable, key, formatter=formatter, format_columns=format_columns, output_all_columns=output_all_columns
1751 )
1752 return formatted_output
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:540, in format_table(table, key, formatter, format_columns, output_all_columns)
538 else:
539 pa_table_to_format = pa_table.drop(col for col in pa_table.column_names if col not in format_columns)
--> 540 formatted_output = formatter(pa_table_to_format, query_type=query_type)
541 if output_all_columns:
542 if isinstance(formatted_output, MutableMapping):
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:281, in Formatter.__call__(self, pa_table, query_type)
279 def __call__(self, pa_table: pa.Table, query_type: str) -> Union[RowFormat, ColumnFormat, BatchFormat]:
280 if query_type == "row":
--> 281 return self.format_row(pa_table)
282 elif query_type == "column":
283 return self.format_column(pa_table)
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/torch_formatter.py:57, in TorchFormatter.format_row(self, pa_table)
56 def format_row(self, pa_table: pa.Table) -> dict:
---> 57 row = self.numpy_arrow_extractor().extract_row(pa_table)
58 return self.recursive_tensorize(row)
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:154, in NumpyArrowExtractor.extract_row(self, pa_table)
153 def extract_row(self, pa_table: pa.Table) -> dict:
--> 154 return _unnest(self.extract_batch(pa_table))
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:160, in NumpyArrowExtractor.extract_batch(self, pa_table)
159 def extract_batch(self, pa_table: pa.Table) -> dict:
--> 160 return {col: self._arrow_array_to_numpy(pa_table[col]) for col in pa_table.column_names}
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:160, in <dictcomp>(.0)
159 def extract_batch(self, pa_table: pa.Table) -> dict:
--> 160 return {col: self._arrow_array_to_numpy(pa_table[col]) for col in pa_table.column_names}
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:196, in NumpyArrowExtractor._arrow_array_to_numpy(self, pa_array)
194 array: List = pa_array.to_numpy(zero_copy_only=zero_copy_only).tolist()
195 if len(array) > 0:
--> 196 if any(
197 (isinstance(x, np.ndarray) and (x.dtype == np.object or x.shape != array[0].shape))
198 or (isinstance(x, float) and np.isnan(x))
199 for x in array
200 ):
201 return np.array(array, copy=False, **{**self.np_array_kwargs, "dtype": np.object})
202 return np.array(array, copy=False, **self.np_array_kwargs)
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:197, in <genexpr>(.0)
194 array: List = pa_array.to_numpy(zero_copy_only=zero_copy_only).tolist()
195 if len(array) > 0:
196 if any(
--> 197 (isinstance(x, np.ndarray) and (x.dtype == np.object or x.shape != array[0].shape))
198 or (isinstance(x, float) and np.isnan(x))
199 for x in array
200 ):
201 return np.array(array, copy=False, **{**self.np_array_kwargs, "dtype": np.object})
202 return np.array(array, copy=False, **self.np_array_kwargs)
File /opt/conda/lib/python3.10/site-packages/numpy/__init__.py:324, in __getattr__(attr)
319 warnings.warn(
320 f"In the future `np.{attr}` will be defined as the "
321 "corresponding NumPy scalar.", FutureWarning, stacklevel=2)
323 if attr in __former_attrs__:
--> 324 raise AttributeError(__former_attrs__[attr])
326 if attr == 'testing':
327 import numpy.testing as testing
AttributeError: module 'numpy' has no attribute 'object'.
`np.object` was a deprecated alias for the builtin `object`. To avoid this error in existing code, use `object` by itself. Doing this will not modify any behavior and is safe.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
Please help me to resolve the above error
### Steps to reproduce the bug
Please resolve the issue of deprecated function np.object to object in the numpy
### Expected behavior
np.object should be written as object only
### Environment info
kaggle notebook
| null |
[] |
### Describe the bug
AttributeError Traceback (most recent call last)
Cell In[39], line 2
1 # Start the training process
----> 2 trainer.train()
File /opt/conda/lib/python3.10/site-packages/transformers/trainer.py:1539, in Trainer.train(self, resume_from_checkpoint, trial, ignore_keys_for_eval, **kwargs)
1537 hf_hub_utils.enable_progress_bars()
1538 else:
-> 1539 return inner_training_loop(
1540 args=args,
1541 resume_from_checkpoint=resume_from_checkpoint,
1542 trial=trial,
1543 ignore_keys_for_eval=ignore_keys_for_eval,
1544 )
File /opt/conda/lib/python3.10/site-packages/transformers/trainer.py:1836, in Trainer._inner_training_loop(self, batch_size, args, resume_from_checkpoint, trial, ignore_keys_for_eval)
1833 rng_to_sync = True
1835 step = -1
-> 1836 for step, inputs in enumerate(epoch_iterator):
1837 total_batched_samples += 1
1839 if self.args.include_num_input_tokens_seen:
File /opt/conda/lib/python3.10/site-packages/accelerate/data_loader.py:451, in DataLoaderShard.__iter__(self)
449 # We iterate one batch ahead to check when we are at the end
450 try:
--> 451 current_batch = next(dataloader_iter)
452 except StopIteration:
453 yield
File /opt/conda/lib/python3.10/site-packages/torch/utils/data/dataloader.py:630, in _BaseDataLoaderIter.__next__(self)
627 if self._sampler_iter is None:
628 # TODO([https://github.com/pytorch/pytorch/issues/76750)](https://github.com/pytorch/pytorch/issues/76750)%3C/span%3E)
629 self._reset() # type: ignore[call-arg]
--> 630 data = self._next_data()
631 self._num_yielded += 1
632 if self._dataset_kind == _DatasetKind.Iterable and \
633 self._IterableDataset_len_called is not None and \
634 self._num_yielded > self._IterableDataset_len_called:
File /opt/conda/lib/python3.10/site-packages/torch/utils/data/dataloader.py:674, in _SingleProcessDataLoaderIter._next_data(self)
672 def _next_data(self):
673 index = self._next_index() # may raise StopIteration
--> 674 data = self._dataset_fetcher.fetch(index) # may raise StopIteration
675 if self._pin_memory:
676 data = _utils.pin_memory.pin_memory(data, self._pin_memory_device)
File /opt/conda/lib/python3.10/site-packages/torch/utils/data/_utils/fetch.py:51, in _MapDatasetFetcher.fetch(self, possibly_batched_index)
49 data = self.dataset.__getitems__(possibly_batched_index)
50 else:
---> 51 data = [self.dataset[idx] for idx in possibly_batched_index]
52 else:
53 data = self.dataset[possibly_batched_index]
File /opt/conda/lib/python3.10/site-packages/torch/utils/data/_utils/fetch.py:51, in <listcomp>(.0)
49 data = self.dataset.__getitems__(possibly_batched_index)
50 else:
---> 51 data = [self.dataset[idx] for idx in possibly_batched_index]
52 else:
53 data = self.dataset[possibly_batched_index]
File /opt/conda/lib/python3.10/site-packages/datasets/arrow_dataset.py:1764, in Dataset.__getitem__(self, key)
1762 def __getitem__(self, key): # noqa: F811
1763 """Can be used to index columns (by string names) or rows (by integer index or iterable of indices or bools)."""
-> 1764 return self._getitem(
1765 key,
1766 )
File /opt/conda/lib/python3.10/site-packages/datasets/arrow_dataset.py:1749, in Dataset._getitem(self, key, decoded, **kwargs)
1747 formatter = get_formatter(format_type, features=self.features, decoded=decoded, **format_kwargs)
1748 pa_subtable = query_table(self._data, key, indices=self._indices if self._indices is not None else None)
-> 1749 formatted_output = format_table(
1750 pa_subtable, key, formatter=formatter, format_columns=format_columns, output_all_columns=output_all_columns
1751 )
1752 return formatted_output
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:540, in format_table(table, key, formatter, format_columns, output_all_columns)
538 else:
539 pa_table_to_format = pa_table.drop(col for col in pa_table.column_names if col not in format_columns)
--> 540 formatted_output = formatter(pa_table_to_format, query_type=query_type)
541 if output_all_columns:
542 if isinstance(formatted_output, MutableMapping):
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:281, in Formatter.__call__(self, pa_table, query_type)
279 def __call__(self, pa_table: pa.Table, query_type: str) -> Union[RowFormat, ColumnFormat, BatchFormat]:
280 if query_type == "row":
--> 281 return self.format_row(pa_table)
282 elif query_type == "column":
283 return self.format_column(pa_table)
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/torch_formatter.py:57, in TorchFormatter.format_row(self, pa_table)
56 def format_row(self, pa_table: pa.Table) -> dict:
---> 57 row = self.numpy_arrow_extractor().extract_row(pa_table)
58 return self.recursive_tensorize(row)
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:154, in NumpyArrowExtractor.extract_row(self, pa_table)
153 def extract_row(self, pa_table: pa.Table) -> dict:
--> 154 return _unnest(self.extract_batch(pa_table))
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:160, in NumpyArrowExtractor.extract_batch(self, pa_table)
159 def extract_batch(self, pa_table: pa.Table) -> dict:
--> 160 return {col: self._arrow_array_to_numpy(pa_table[col]) for col in pa_table.column_names}
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:160, in <dictcomp>(.0)
159 def extract_batch(self, pa_table: pa.Table) -> dict:
--> 160 return {col: self._arrow_array_to_numpy(pa_table[col]) for col in pa_table.column_names}
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:196, in NumpyArrowExtractor._arrow_array_to_numpy(self, pa_array)
194 array: List = pa_array.to_numpy(zero_copy_only=zero_copy_only).tolist()
195 if len(array) > 0:
--> 196 if any(
197 (isinstance(x, np.ndarray) and (x.dtype == np.object or x.shape != array[0].shape))
198 or (isinstance(x, float) and np.isnan(x))
199 for x in array
200 ):
201 return np.array(array, copy=False, **{**self.np_array_kwargs, "dtype": np.object})
202 return np.array(array, copy=False, **self.np_array_kwargs)
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:197, in <genexpr>(.0)
194 array: List = pa_array.to_numpy(zero_copy_only=zero_copy_only).tolist()
195 if len(array) > 0:
196 if any(
--> 197 (isinstance(x, np.ndarray) and (x.dtype == np.object or x.shape != array[0].shape))
198 or (isinstance(x, float) and np.isnan(x))
199 for x in array
200 ):
201 return np.array(array, copy=False, **{**self.np_array_kwargs, "dtype": np.object})
202 return np.array(array, copy=False, **self.np_array_kwargs)
File /opt/conda/lib/python3.10/site-packages/numpy/__init__.py:324, in __getattr__(attr)
319 warnings.warn(
320 f"In the future `np.{attr}` will be defined as the "
321 "corresponding NumPy scalar.", FutureWarning, stacklevel=2)
323 if attr in __former_attrs__:
--> 324 raise AttributeError(__former_attrs__[attr])
326 if attr == 'testing':
327 import numpy.testing as testing
AttributeError: module 'numpy' has no attribute 'object'.
`np.object` was a deprecated alias for the builtin `object`. To avoid this error in existing code, use `object` by itself. Doing this will not modify any behavior and is safe.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecationsAttributeError Traceback (most recent call last)
Cell In[39], line 2
1 # Start the training process
----> 2 trainer.train()
File /opt/conda/lib/python3.10/site-packages/transformers/trainer.py:1539, in Trainer.train(self, resume_from_checkpoint, trial, ignore_keys_for_eval, **kwargs)
1537 hf_hub_utils.enable_progress_bars()
1538 else:
-> 1539 return inner_training_loop(
1540 args=args,
1541 resume_from_checkpoint=resume_from_checkpoint,
1542 trial=trial,
1543 ignore_keys_for_eval=ignore_keys_for_eval,
1544 )
File /opt/conda/lib/python3.10/site-packages/transformers/trainer.py:1836, in Trainer._inner_training_loop(self, batch_size, args, resume_from_checkpoint, trial, ignore_keys_for_eval)
1833 rng_to_sync = True
1835 step = -1
-> 1836 for step, inputs in enumerate(epoch_iterator):
1837 total_batched_samples += 1
1839 if self.args.include_num_input_tokens_seen:
File /opt/conda/lib/python3.10/site-packages/accelerate/data_loader.py:451, in DataLoaderShard.__iter__(self)
449 # We iterate one batch ahead to check when we are at the end
450 try:
--> 451 current_batch = next(dataloader_iter)
452 except StopIteration:
453 yield
File /opt/conda/lib/python3.10/site-packages/torch/utils/data/dataloader.py:630, in _BaseDataLoaderIter.__next__(self)
627 if self._sampler_iter is None:
628 # TODO([https://github.com/pytorch/pytorch/issues/76750)](https://github.com/pytorch/pytorch/issues/76750)%3C/span%3E)
629 self._reset() # type: ignore[call-arg]
--> 630 data = self._next_data()
631 self._num_yielded += 1
632 if self._dataset_kind == _DatasetKind.Iterable and \
633 self._IterableDataset_len_called is not None and \
634 self._num_yielded > self._IterableDataset_len_called:
File /opt/conda/lib/python3.10/site-packages/torch/utils/data/dataloader.py:674, in _SingleProcessDataLoaderIter._next_data(self)
672 def _next_data(self):
673 index = self._next_index() # may raise StopIteration
--> 674 data = self._dataset_fetcher.fetch(index) # may raise StopIteration
675 if self._pin_memory:
676 data = _utils.pin_memory.pin_memory(data, self._pin_memory_device)
File /opt/conda/lib/python3.10/site-packages/torch/utils/data/_utils/fetch.py:51, in _MapDatasetFetcher.fetch(self, possibly_batched_index)
49 data = self.dataset.__getitems__(possibly_batched_index)
50 else:
---> 51 data = [self.dataset[idx] for idx in possibly_batched_index]
52 else:
53 data = self.dataset[possibly_batched_index]
File /opt/conda/lib/python3.10/site-packages/torch/utils/data/_utils/fetch.py:51, in <listcomp>(.0)
49 data = self.dataset.__getitems__(possibly_batched_index)
50 else:
---> 51 data = [self.dataset[idx] for idx in possibly_batched_index]
52 else:
53 data = self.dataset[possibly_batched_index]
File /opt/conda/lib/python3.10/site-packages/datasets/arrow_dataset.py:1764, in Dataset.__getitem__(self, key)
1762 def __getitem__(self, key): # noqa: F811
1763 """Can be used to index columns (by string names) or rows (by integer index or iterable of indices or bools)."""
-> 1764 return self._getitem(
1765 key,
1766 )
File /opt/conda/lib/python3.10/site-packages/datasets/arrow_dataset.py:1749, in Dataset._getitem(self, key, decoded, **kwargs)
1747 formatter = get_formatter(format_type, features=self.features, decoded=decoded, **format_kwargs)
1748 pa_subtable = query_table(self._data, key, indices=self._indices if self._indices is not None else None)
-> 1749 formatted_output = format_table(
1750 pa_subtable, key, formatter=formatter, format_columns=format_columns, output_all_columns=output_all_columns
1751 )
1752 return formatted_output
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:540, in format_table(table, key, formatter, format_columns, output_all_columns)
538 else:
539 pa_table_to_format = pa_table.drop(col for col in pa_table.column_names if col not in format_columns)
--> 540 formatted_output = formatter(pa_table_to_format, query_type=query_type)
541 if output_all_columns:
542 if isinstance(formatted_output, MutableMapping):
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:281, in Formatter.__call__(self, pa_table, query_type)
279 def __call__(self, pa_table: pa.Table, query_type: str) -> Union[RowFormat, ColumnFormat, BatchFormat]:
280 if query_type == "row":
--> 281 return self.format_row(pa_table)
282 elif query_type == "column":
283 return self.format_column(pa_table)
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/torch_formatter.py:57, in TorchFormatter.format_row(self, pa_table)
56 def format_row(self, pa_table: pa.Table) -> dict:
---> 57 row = self.numpy_arrow_extractor().extract_row(pa_table)
58 return self.recursive_tensorize(row)
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:154, in NumpyArrowExtractor.extract_row(self, pa_table)
153 def extract_row(self, pa_table: pa.Table) -> dict:
--> 154 return _unnest(self.extract_batch(pa_table))
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:160, in NumpyArrowExtractor.extract_batch(self, pa_table)
159 def extract_batch(self, pa_table: pa.Table) -> dict:
--> 160 return {col: self._arrow_array_to_numpy(pa_table[col]) for col in pa_table.column_names}
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:160, in <dictcomp>(.0)
159 def extract_batch(self, pa_table: pa.Table) -> dict:
--> 160 return {col: self._arrow_array_to_numpy(pa_table[col]) for col in pa_table.column_names}
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:196, in NumpyArrowExtractor._arrow_array_to_numpy(self, pa_array)
194 array: List = pa_array.to_numpy(zero_copy_only=zero_copy_only).tolist()
195 if len(array) > 0:
--> 196 if any(
197 (isinstance(x, np.ndarray) and (x.dtype == np.object or x.shape != array[0].shape))
198 or (isinstance(x, float) and np.isnan(x))
199 for x in array
200 ):
201 return np.array(array, copy=False, **{**self.np_array_kwargs, "dtype": np.object})
202 return np.array(array, copy=False, **self.np_array_kwargs)
File /opt/conda/lib/python3.10/site-packages/datasets/formatting/formatting.py:197, in <genexpr>(.0)
194 array: List = pa_array.to_numpy(zero_copy_only=zero_copy_only).tolist()
195 if len(array) > 0:
196 if any(
--> 197 (isinstance(x, np.ndarray) and (x.dtype == np.object or x.shape != array[0].shape))
198 or (isinstance(x, float) and np.isnan(x))
199 for x in array
200 ):
201 return np.array(array, copy=False, **{**self.np_array_kwargs, "dtype": np.object})
202 return np.array(array, copy=False, **self.np_array_kwargs)
File /opt/conda/lib/python3.10/site-packages/numpy/__init__.py:324, in __getattr__(attr)
319 warnings.warn(
320 f"In the future `np.{attr}` will be defined as the "
321 "corresponding NumPy scalar.", FutureWarning, stacklevel=2)
323 if attr in __former_attrs__:
--> 324 raise AttributeError(__former_attrs__[attr])
326 if attr == 'testing':
327 import numpy.testing as testing
AttributeError: module 'numpy' has no attribute 'object'.
`np.object` was a deprecated alias for the builtin `object`. To avoid this error in existing code, use `object` by itself. Doing this will not modify any behavior and is safe.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
Please help me to resolve the above error
### Steps to reproduce the bug
Please resolve the issue of deprecated function np.object to object in the numpy
### Expected behavior
np.object should be written as object only
### Environment info
kaggle notebook
|
https://api.github.com/repos/huggingface/datasets/issues/6669/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6669/reactions"
}
| 2024-02-21T00:33:19 | 6,669 | null | null |
[] |
https://api.github.com/repos/huggingface/datasets/issues/6669/labels{/name}
| null | 2024-02-16T10:40:49 | null | 2,138,322,662 |
https://api.github.com/repos/huggingface/datasets/issues/6669/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6669/comments
| null | null |
I_kwDODunzps5_dDbm
|
https://api.github.com/repos/huggingface/datasets/issues/6669
|
NONE
|
https://github.com/huggingface/datasets/issues/6669
|
attribute error when writing trainer.train()
| false |
open
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/34660389?v=4",
"events_url": "https://api.github.com/users/hariravichandran/events{/privacy}",
"followers_url": "https://api.github.com/users/hariravichandran/followers",
"following_url": "https://api.github.com/users/hariravichandran/following{/other_user}",
"gists_url": "https://api.github.com/users/hariravichandran/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/hariravichandran",
"id": 34660389,
"login": "hariravichandran",
"node_id": "MDQ6VXNlcjM0NjYwMzg5",
"organizations_url": "https://api.github.com/users/hariravichandran/orgs",
"received_events_url": "https://api.github.com/users/hariravichandran/received_events",
"repos_url": "https://api.github.com/users/hariravichandran/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/hariravichandran/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/hariravichandran/subscriptions",
"type": "User",
"url": "https://api.github.com/users/hariravichandran"
}
|
### Describe the bug
So I am getting this bug when I try to run cell 4 of the Chapter 6 notebook code:
`dataset = load_dataset("ccdv/cnn_dailymail", version="3.0.0")`
Error Message:
```
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[4], line 4
1 #hide_output
2 from datasets import load_dataset
----> 4 dataset = load_dataset("ccdv/cnn_dailymail", version="3.0.0")
7 # dataset = load_dataset("ccdv/cnn_dailymail", version="3.0.0", trust_remote_code=True)
8 print(f"Features: {dataset['train'].column_names}")
File ~\anaconda3\envs\nlp-transformers\lib\site-packages\datasets\load.py:2587, in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, ignore_verifications, keep_in_memory, save_infos, revision, token, use_auth_token, task, streaming, num_proc, storage_options, trust_remote_code, **config_kwargs)
2583 # Build dataset for splits
2584 keep_in_memory = (
2585 keep_in_memory if keep_in_memory is not None else is_small_dataset(builder_instance.info.dataset_size)
2586 )
-> 2587 ds = builder_instance.as_dataset(split=split, verification_mode=verification_mode, in_memory=keep_in_memory)
2588 # Rename and cast features to match task schema
2589 if task is not None:
2590 # To avoid issuing the same warning twice
File ~\anaconda3\envs\nlp-transformers\lib\site-packages\datasets\builder.py:1244, in DatasetBuilder.as_dataset(self, split, run_post_process, verification_mode, ignore_verifications, in_memory)
1241 verification_mode = VerificationMode(verification_mode or VerificationMode.BASIC_CHECKS)
1243 # Create a dataset for each of the given splits
-> 1244 datasets = map_nested(
1245 partial(
1246 self._build_single_dataset,
1247 run_post_process=run_post_process,
1248 verification_mode=verification_mode,
1249 in_memory=in_memory,
1250 ),
1251 split,
1252 map_tuple=True,
1253 disable_tqdm=True,
1254 )
1255 if isinstance(datasets, dict):
1256 datasets = DatasetDict(datasets)
File ~\anaconda3\envs\nlp-transformers\lib\site-packages\datasets\utils\py_utils.py:477, in map_nested(function, data_struct, dict_only, map_list, map_tuple, map_numpy, num_proc, parallel_min_length, types, disable_tqdm, desc)
466 mapped = [
467 map_nested(
468 function=function,
(...)
474 for obj in iterable
475 ]
476 elif num_proc != -1 and num_proc <= 1 or len(iterable) < parallel_min_length:
--> 477 mapped = [
478 _single_map_nested((function, obj, types, None, True, None))
479 for obj in hf_tqdm(iterable, disable=disable_tqdm, desc=desc)
480 ]
481 else:
482 with warnings.catch_warnings():
File ~\anaconda3\envs\nlp-transformers\lib\site-packages\datasets\utils\py_utils.py:478, in <listcomp>(.0)
466 mapped = [
467 map_nested(
468 function=function,
(...)
474 for obj in iterable
475 ]
476 elif num_proc != -1 and num_proc <= 1 or len(iterable) < parallel_min_length:
477 mapped = [
--> 478 _single_map_nested((function, obj, types, None, True, None))
479 for obj in hf_tqdm(iterable, disable=disable_tqdm, desc=desc)
480 ]
481 else:
482 with warnings.catch_warnings():
File ~\anaconda3\envs\nlp-transformers\lib\site-packages\datasets\utils\py_utils.py:370, in _single_map_nested(args)
368 # Singleton first to spare some computation
369 if not isinstance(data_struct, dict) and not isinstance(data_struct, types):
--> 370 return function(data_struct)
372 # Reduce logging to keep things readable in multiprocessing with tqdm
373 if rank is not None and logging.get_verbosity() < logging.WARNING:
File ~\anaconda3\envs\nlp-transformers\lib\site-packages\datasets\builder.py:1274, in DatasetBuilder._build_single_dataset(self, split, run_post_process, verification_mode, in_memory)
1271 split = Split(split)
1273 # Build base dataset
-> 1274 ds = self._as_dataset(
1275 split=split,
1276 in_memory=in_memory,
1277 )
1278 if run_post_process:
1279 for resource_file_name in self._post_processing_resources(split).values():
File ~\anaconda3\envs\nlp-transformers\lib\site-packages\datasets\builder.py:1348, in DatasetBuilder._as_dataset(self, split, in_memory)
1346 if self._check_legacy_cache():
1347 dataset_name = self.name
-> 1348 dataset_kwargs = ArrowReader(cache_dir, self.info).read(
1349 name=dataset_name,
1350 instructions=split,
1351 split_infos=self.info.splits.values(),
1352 in_memory=in_memory,
1353 )
1354 fingerprint = self._get_dataset_fingerprint(split)
1355 return Dataset(fingerprint=fingerprint, **dataset_kwargs)
File ~\anaconda3\envs\nlp-transformers\lib\site-packages\datasets\arrow_reader.py:254, in BaseReader.read(self, name, instructions, split_infos, in_memory)
252 if not files:
253 msg = f'Instruction "{instructions}" corresponds to no data!'
--> 254 raise ValueError(msg)
255 return self.read_files(files=files, original_instructions=instructions, in_memory=in_memory)
**ValueError: Instruction "validation" corresponds to no data!**
````
Looks like the data is not being loaded. Any advice would be appreciated. Thanks!
### Steps to reproduce the bug
Run all cells of Chapter 6 notebook.
### Expected behavior
Data should load correctly without any errors.
### Environment info
- `datasets` version: 2.17.0
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.9.18
- `huggingface_hub` version: 0.20.3
- PyArrow version: 15.0.0
- Pandas version: 2.2.0
- `fsspec` version: 2023.10.0
| null |
[] |
### Describe the bug
So I am getting this bug when I try to run cell 4 of the Chapter 6 notebook code:
`dataset = load_dataset("ccdv/cnn_dailymail", version="3.0.0")`
Error Message:
```
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[4], line 4
1 #hide_output
2 from datasets import load_dataset
----> 4 dataset = load_dataset("ccdv/cnn_dailymail", version="3.0.0")
7 # dataset = load_dataset("ccdv/cnn_dailymail", version="3.0.0", trust_remote_code=True)
8 print(f"Features: {dataset['train'].column_names}")
File ~\anaconda3\envs\nlp-transformers\lib\site-packages\datasets\load.py:2587, in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, ignore_verifications, keep_in_memory, save_infos, revision, token, use_auth_token, task, streaming, num_proc, storage_options, trust_remote_code, **config_kwargs)
2583 # Build dataset for splits
2584 keep_in_memory = (
2585 keep_in_memory if keep_in_memory is not None else is_small_dataset(builder_instance.info.dataset_size)
2586 )
-> 2587 ds = builder_instance.as_dataset(split=split, verification_mode=verification_mode, in_memory=keep_in_memory)
2588 # Rename and cast features to match task schema
2589 if task is not None:
2590 # To avoid issuing the same warning twice
File ~\anaconda3\envs\nlp-transformers\lib\site-packages\datasets\builder.py:1244, in DatasetBuilder.as_dataset(self, split, run_post_process, verification_mode, ignore_verifications, in_memory)
1241 verification_mode = VerificationMode(verification_mode or VerificationMode.BASIC_CHECKS)
1243 # Create a dataset for each of the given splits
-> 1244 datasets = map_nested(
1245 partial(
1246 self._build_single_dataset,
1247 run_post_process=run_post_process,
1248 verification_mode=verification_mode,
1249 in_memory=in_memory,
1250 ),
1251 split,
1252 map_tuple=True,
1253 disable_tqdm=True,
1254 )
1255 if isinstance(datasets, dict):
1256 datasets = DatasetDict(datasets)
File ~\anaconda3\envs\nlp-transformers\lib\site-packages\datasets\utils\py_utils.py:477, in map_nested(function, data_struct, dict_only, map_list, map_tuple, map_numpy, num_proc, parallel_min_length, types, disable_tqdm, desc)
466 mapped = [
467 map_nested(
468 function=function,
(...)
474 for obj in iterable
475 ]
476 elif num_proc != -1 and num_proc <= 1 or len(iterable) < parallel_min_length:
--> 477 mapped = [
478 _single_map_nested((function, obj, types, None, True, None))
479 for obj in hf_tqdm(iterable, disable=disable_tqdm, desc=desc)
480 ]
481 else:
482 with warnings.catch_warnings():
File ~\anaconda3\envs\nlp-transformers\lib\site-packages\datasets\utils\py_utils.py:478, in <listcomp>(.0)
466 mapped = [
467 map_nested(
468 function=function,
(...)
474 for obj in iterable
475 ]
476 elif num_proc != -1 and num_proc <= 1 or len(iterable) < parallel_min_length:
477 mapped = [
--> 478 _single_map_nested((function, obj, types, None, True, None))
479 for obj in hf_tqdm(iterable, disable=disable_tqdm, desc=desc)
480 ]
481 else:
482 with warnings.catch_warnings():
File ~\anaconda3\envs\nlp-transformers\lib\site-packages\datasets\utils\py_utils.py:370, in _single_map_nested(args)
368 # Singleton first to spare some computation
369 if not isinstance(data_struct, dict) and not isinstance(data_struct, types):
--> 370 return function(data_struct)
372 # Reduce logging to keep things readable in multiprocessing with tqdm
373 if rank is not None and logging.get_verbosity() < logging.WARNING:
File ~\anaconda3\envs\nlp-transformers\lib\site-packages\datasets\builder.py:1274, in DatasetBuilder._build_single_dataset(self, split, run_post_process, verification_mode, in_memory)
1271 split = Split(split)
1273 # Build base dataset
-> 1274 ds = self._as_dataset(
1275 split=split,
1276 in_memory=in_memory,
1277 )
1278 if run_post_process:
1279 for resource_file_name in self._post_processing_resources(split).values():
File ~\anaconda3\envs\nlp-transformers\lib\site-packages\datasets\builder.py:1348, in DatasetBuilder._as_dataset(self, split, in_memory)
1346 if self._check_legacy_cache():
1347 dataset_name = self.name
-> 1348 dataset_kwargs = ArrowReader(cache_dir, self.info).read(
1349 name=dataset_name,
1350 instructions=split,
1351 split_infos=self.info.splits.values(),
1352 in_memory=in_memory,
1353 )
1354 fingerprint = self._get_dataset_fingerprint(split)
1355 return Dataset(fingerprint=fingerprint, **dataset_kwargs)
File ~\anaconda3\envs\nlp-transformers\lib\site-packages\datasets\arrow_reader.py:254, in BaseReader.read(self, name, instructions, split_infos, in_memory)
252 if not files:
253 msg = f'Instruction "{instructions}" corresponds to no data!'
--> 254 raise ValueError(msg)
255 return self.read_files(files=files, original_instructions=instructions, in_memory=in_memory)
**ValueError: Instruction "validation" corresponds to no data!**
````
Looks like the data is not being loaded. Any advice would be appreciated. Thanks!
### Steps to reproduce the bug
Run all cells of Chapter 6 notebook.
### Expected behavior
Data should load correctly without any errors.
### Environment info
- `datasets` version: 2.17.0
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.9.18
- `huggingface_hub` version: 0.20.3
- PyArrow version: 15.0.0
- Pandas version: 2.2.0
- `fsspec` version: 2023.10.0
|
https://api.github.com/repos/huggingface/datasets/issues/6668/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6668/reactions"
}
| 2024-02-16T04:40:56 | 6,668 | null | null |
[] |
https://api.github.com/repos/huggingface/datasets/issues/6668/labels{/name}
| null | 2024-02-16T04:40:56 | null | 2,137,859,935 |
https://api.github.com/repos/huggingface/datasets/issues/6668/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6668/comments
| null | null |
I_kwDODunzps5_bSdf
|
https://api.github.com/repos/huggingface/datasets/issues/6668
|
NONE
|
https://github.com/huggingface/datasets/issues/6668
|
Chapter 6 - Issue Loading `cnn_dailymail` dataset
| false |
open
|
{
"avatar_url": "https://avatars.githubusercontent.com/u/22651617?v=4",
"events_url": "https://api.github.com/users/kiddyboots216/events{/privacy}",
"followers_url": "https://api.github.com/users/kiddyboots216/followers",
"following_url": "https://api.github.com/users/kiddyboots216/following{/other_user}",
"gists_url": "https://api.github.com/users/kiddyboots216/gists{/gist_id}",
"gravatar_id": "",
"html_url": "https://github.com/kiddyboots216",
"id": 22651617,
"login": "kiddyboots216",
"node_id": "MDQ6VXNlcjIyNjUxNjE3",
"organizations_url": "https://api.github.com/users/kiddyboots216/orgs",
"received_events_url": "https://api.github.com/users/kiddyboots216/received_events",
"repos_url": "https://api.github.com/users/kiddyboots216/repos",
"site_admin": false,
"starred_url": "https://api.github.com/users/kiddyboots216/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/kiddyboots216/subscriptions",
"type": "User",
"url": "https://api.github.com/users/kiddyboots216"
}
|
### Describe the bug
If you download Squad, it will download the plain_text version, but the config still specifies "default", so if you set the offline mode the cache will try to look it up according to the config_id which is "default" and this will say;
ValueError: Couldn't find cache for squad for config 'default'
Available configs in the cache: ['plain_text']
### Steps to reproduce the bug
1. export HF_DATASETS_OFFLINE=0
2. load_dataset("squad")
3. export HF_DATASETS_OFFLINE=1
4. load_dataset("squad")
### Expected behavior
We should change the config_name I guess?
### Environment info
linux, latest version of datasets
| null |
[] |
### Describe the bug
If you download Squad, it will download the plain_text version, but the config still specifies "default", so if you set the offline mode the cache will try to look it up according to the config_id which is "default" and this will say;
ValueError: Couldn't find cache for squad for config 'default'
Available configs in the cache: ['plain_text']
### Steps to reproduce the bug
1. export HF_DATASETS_OFFLINE=0
2. load_dataset("squad")
3. export HF_DATASETS_OFFLINE=1
4. load_dataset("squad")
### Expected behavior
We should change the config_name I guess?
### Environment info
linux, latest version of datasets
|
https://api.github.com/repos/huggingface/datasets/issues/6667/timeline
|
{
"+1": 0,
"-1": 0,
"confused": 0,
"eyes": 0,
"heart": 0,
"hooray": 0,
"laugh": 0,
"rocket": 0,
"total_count": 0,
"url": "https://api.github.com/repos/huggingface/datasets/issues/6667/reactions"
}
| 2024-02-23T09:10:00 | 6,667 | null | null |
[] |
https://api.github.com/repos/huggingface/datasets/issues/6667/labels{/name}
| null | 2024-02-16T02:36:55 | null | 2,137,769,552 |
https://api.github.com/repos/huggingface/datasets/issues/6667/events
|
https://api.github.com/repos/huggingface/datasets
| false | null |
https://api.github.com/repos/huggingface/datasets/issues/6667/comments
| null | null |
I_kwDODunzps5_a8ZQ
|
https://api.github.com/repos/huggingface/datasets/issues/6667
|
NONE
|
https://github.com/huggingface/datasets/issues/6667
|
Default config for squad is incorrect
| false |
End of preview.
README.md exists but content is empty.
- Downloads last month
- 11