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1,173,482,291 | https://api.github.com/repos/huggingface/datasets/issues/3962/labels{/name} | The `Sequence` features type is not correctly flattened if it contains a dictionary. This PR fixes this, and I added a test case for this.
Close https://github.com/huggingface/datasets/issues/3795 | 2022-03-21T14:40:47Z | 3,962 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-18T11:27:42Z | https://api.github.com/repos/huggingface/datasets/issues/3962/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3962/timeline | Fix flatten of Sequence feature type | https://api.github.com/repos/huggingface/datasets/issues/3962/events | null | {
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"_The documentation is not available anymore as the PR was closed or merged._"
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1,173,223,086 | https://api.github.com/repos/huggingface/datasets/issues/3961/labels{/name} | If a FAISS index has fewer records than the requested number of top results (k), then it returns -1 in indices for the additional positions. The get_nearest_examples method only filters out the extra results from the dataset samples. It would be better to filter out extra scores too.
Reference: https://github.com/huggingface/datasets/blob/2.0.0/src/datasets/search.py#L693
| 2022-04-12T14:41:58Z | 3,961 | null | https://api.github.com/repos/huggingface/datasets | null | [
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} | [] | null | completed | CONTRIBUTOR | 2022-04-12T14:41:58Z | null | I_kwDODunzps5F7fau | [
"Hi! Yes, that makes sense! Would you like to submit a PR to fix this?",
"Created PR https://github.com/huggingface/datasets/pull/3971"
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1,173,148,884 | https://api.github.com/repos/huggingface/datasets/issues/3960/labels{/name} | When i used the datasets==1.11.0οΌ it's all right. Util update the latest version, it get the error like this:
```
>>> from datasets import load_dataset
>>> data_files={'train': ['/ssd/datasets/imagenet/pytorch/train'], 'validation': ['/ssd/datasets/imagenet/pytorch/val']}
>>> ds = load_dataset('nateraw/image-folder', data_files=data_files, cache_dir='./', task='image-classification')
[] https://huggingface.co/datasets/nateraw/image-folder/resolve/main/ /dat/txacs/git/txacs/examples/image-classification/https:/huggingface.co/datasets/nateraw/image-folder/resolve/main
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/gf3/home/txacs/gv3/anaconda3/envs/txacs/lib/python3.6/site-packages/datasets/load.py", line 1671, in load_dataset
**config_kwargs,
File "/gf3/home/txacs/gv3/anaconda3/envs/txacs/lib/python3.6/site-packages/datasets/load.py", line 1521, in load_dataset_builder
**config_kwargs,
File "/gf3/home/txacs/gv3/anaconda3/envs/txacs/lib/python3.6/site-packages/datasets/builder.py", line 1031, in __init__
super().__init__(*args, **kwargs)
File "/gf3/home/txacs/gv3/anaconda3/envs/txacs/lib/python3.6/site-packages/datasets/builder.py", line 255, in __init__
sanitize_patterns(data_files), base_path=base_path, use_auth_token=use_auth_token
File "/gf3/home/txacs/gv3/anaconda3/envs/txacs/lib/python3.6/site-packages/datasets/data_files.py", line 584, in from_local_or_remote
if not isinstance(patterns_for_key, DataFilesList)
File "/gf3/home/txacs/gv3/anaconda3/envs/txacs/lib/python3.6/site-packages/datasets/data_files.py", line 546, in from_local_or_remote
data_files = resolve_patterns_locally_or_by_urls(base_path, patterns, allowed_extensions)
File "/gf3/home/txacs/gv3/anaconda3/envs/txacs/lib/python3.6/site-packages/datasets/data_files.py", line 196, in resolve_patterns_locally_or_by_urls
for path in _resolve_single_pattern_locally(base_path, pattern, allowed_extensions):
File "/gf3/home/txacs/gv3/anaconda3/envs/txacs/lib/python3.6/site-packages/datasets/data_files.py", line 146, in _resolve_single_pattern_locally
raise FileNotFoundError(error_msg)
FileNotFoundError: Unable to find '/ssd/datasets/imagenet/pytorch/train' at /dat/txacs/git/txacs/examples/image-classification/https:/huggingface.co/datasets/nateraw/image-folder/resolve/main
```
I need some help to solve the problem, thanks! | 2023-08-02T17:12:20Z | 3,960 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"descrip... | 2022-03-18T03:32:49Z | https://api.github.com/repos/huggingface/datasets/issues/3960/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3960/timeline | Load local dataset error | https://api.github.com/repos/huggingface/datasets/issues/3960/events | null | {
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"Hi! Instead of @nateraw's `image-folder`, I suggest using the newly released `imagefolder` dataset:\r\n```python\r\n>>> from datasets import load_dataset\r\n>>> data_files={'train': ['/ssd/datasets/imagenet/pytorch/train/**'], 'validation': ['/ssd/datasets/imagenet/pytorch/val/**']}\r\n>>> ds = load_dataset('image... | {
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1,172,872,695 | https://api.github.com/repos/huggingface/datasets/issues/3959/labels{/name} | Hi, I am suffering from the following issue:
## Describe the bug
Conversion to arrow dataset from pandas dataframe of a certain size deterministically causes the following crash:
```
File "/home/datasets_crash.py", line 7, in <module>
arrow=datasets.Dataset.from_pandas(d)
File "/home/.conda/envs/tools/lib/python3.9/site-packages/datasets/arrow_dataset.py", line 783, in from_pandas
table = InMemoryTable.from_pandas(
File "/home/.conda/envs/tools/lib/python3.9/site-packages/datasets/table.py", line 379, in from_pandas
return cls(pa.Table.from_pandas(*args, **kwargs))
File "pyarrow/table.pxi", line 1487, in pyarrow.lib.Table.from_pandas
File "pyarrow/table.pxi", line 1532, in pyarrow.lib.Table.from_arrays
File "pyarrow/table.pxi", line 1181, in pyarrow.lib.Table.validate
File "pyarrow/error.pxi", line 84, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Column 1: In chunk 0: Invalid: List child array invalid: Invalid: Struct child array #1 has length smaller than expected for struct array (1192457 < 1192458)
```
## Steps to reproduce the bug
I have a dataset made from replicated single example mocking a dict representation of a publication.
I copy over this example 140k times and create a pandas frame.
I use 'Dataset.from_pandas' and boom
```python
# Sample code to reproduce the bug
import copy
import datasets
import pandas
# serialized dict is quite long to be realistic representation of a publication content
paper_as_dict=eval("{'article_id': '2020-11-05T14:25:05.321Z02bc3286-91b7-486a-9c74-4f457fbc586a', 'sections': [{'section_id': 'body.0', 'paragraphs': [{'sentences': ['11010111001000000011010011110011101110111011000100001010011100101001111010110111101011101111101010101110001111011110111010111', '1101100110110010010101010100110011000111001100100000011100010111010000011100001101111000000011010111001111001010101111110011010010111011000110100110010', '101011011000010100000010011001011011000000110011011110000101001110110000010001100110111100011100110101010010110000101', '1101101110101010101000000010101011111001111000101000110001110100111000100000011001110100110000110100111011001010110011101001001110']}]}, {'section_id': 'body.1', 'paragraphs': [{'sentences': 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'0101101001010101001101010100011000111011001000100001110100110011100000001001010110001101010110011100111111100101101111101111011001111111110010111010011011011111011011110000101011010', '11000001110111000001100100001110000111001010000101011011101010111001011100010010010111111111000011111110010111100011100110001001100011111010100111110111001110010', '0100010110100001010101110111100011100100010111111011101001100101111110101011010010101111001000101001111000001110001100011001110010100110101100110100100000001010101101011110011001000101100111001001001110100', '100000100010011111001101010000100110011110001100000010010110110100000111111011010100101111010111001110101000100001111101001110000011010110000010100', '00100110000011100101000110110001000011101000011010101000010001111011100001111111001011100111101000001000000110110001000101111010010010001100111', '0110110100011001110011001111100010101001011111011001011001101101010010101101110101010100001000100100000111101110001001110111000110011101101010100000101', '0011111010010011011101010110100110000011000011100100101011011001110110001110001111000011010111011000110100111111011101110111000010010000011011010011011100000011101100110110100100000010110101110100110101001100111011101001010111011011110100110101110010011011010001010111110011001000010100010101010010110010010110000100110001000011010011000100101011010100100111010']}]}]}")
d=pandas.DataFrame.from_records(copy.deepcopy(paper_as_dict) for _ in range(140_100))
arrow=datasets.Dataset.from_pandas(d)
```
## Expected results
The dataset should be converted without error.
## Actual results
Error `pyarrow.lib.ArrowInvalid: Column 1: In chunk 0: Invalid: List child array invalid: Invalid: Struct child array #1 has length smaller than expected for struct array (1192457 < 1192458)`
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: datasets==1.18.4 pandas==1.3.5
- Platform: macOS 11.6 or CentOS Linux 7 (Core)
- Python version: Python 3.9.7
- PyArrow version: pyarrow==3.0.0
| 2022-12-12T17:14:06Z | 3,959 | null | https://api.github.com/repos/huggingface/datasets | null | [
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} | [] | null | completed | NONE | 2022-04-20T12:35:37Z | null | I_kwDODunzps5F6J33 | [
"Hi ! It looks like an issue with pyarrow, could you try updating pyarrow and try again ?",
"@albertvillanova did you find a solution to this?",
"IΒ΄m getting the same problem with some files, @albertvillanova did you find a solution to this?"
] | {
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1,172,657,981 | https://api.github.com/repos/huggingface/datasets/issues/3958/labels{/name} | This PR updates:
- dataset card
- metadata JSON | 2022-03-21T12:26:48Z | 3,958 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-17T17:50:05Z | https://api.github.com/repos/huggingface/datasets/issues/3958/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3958/timeline | Update Wikipedia metadata | https://api.github.com/repos/huggingface/datasets/issues/3958/events | null | {
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} | [] | null | null | MEMBER | 2022-03-21T12:26:47Z | {
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} | PR_kwDODunzps40nQU2 | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3958). All of your documentation changes will be reflected on that endpoint.",
"Once this last PR validated, I can take care of the integration of all the wikipedia update branch into master, @lhoestq. "
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1,172,401,455 | https://api.github.com/repos/huggingface/datasets/issues/3957/labels{/name} | We in fact do need BABEL in xtreme-s | 2022-03-18T13:46:19Z | 3,957 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-17T13:39:04Z | https://api.github.com/repos/huggingface/datasets/issues/3957/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3957/timeline | Fix xtreme s metrics | https://api.github.com/repos/huggingface/datasets/issues/3957/events | null | {
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} | [] | null | null | CONTRIBUTOR | 2022-03-18T13:42:16Z | {
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} | PR_kwDODunzps40magW | [
"Sorry for the commit history mess, but will be squashed anyways so should be fine",
"_The documentation is not available anymore as the PR was closed or merged._"
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1,172,272,327 | https://api.github.com/repos/huggingface/datasets/issues/3956/labels{/name} | ## Describe the bug
Based on [this tutorial](https://huggingface.co/docs/datasets/faiss_es#elasticsearch) the provided code should add Elasticsearch index but raised the following error, probably the new Elasticsearch version is not compatible though the tutorial doesn't provide any information about the supporting Elasticsearch version.
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
from datasets import load_dataset
squad = load_dataset('squad', split='validation')
squad.add_elasticsearch_index("context", host="localhost", port="9200")
```
## Expected results
[Creating an elastic index based on the provided tutorial](https://huggingface.co/docs/datasets/faiss_es#elasticsearch)
## Actual results
```
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-6-8fb51aa33961> in <module>
1 from datasets import load_dataset
2 squad = load_dataset('squad', split='validation')
----> 3 squad.add_elasticsearch_index("context", host="localhost", port="9200")
~/opt/anaconda3/lib/python3.8/site-packages/datasets/arrow_dataset.py in add_elasticsearch_index(self, column, index_name, host, port, es_client, es_index_name, es_index_config)
3777 """
3778 with self.formatted_as(type=None, columns=[column]):
-> 3779 super().add_elasticsearch_index(
3780 column=column,
3781 index_name=index_name,
~/opt/anaconda3/lib/python3.8/site-packages/datasets/search.py in add_elasticsearch_index(self, column, index_name, host, port, es_client, es_index_name, es_index_config)
587 """
588 index_name = index_name if index_name is not None else column
--> 589 es_index = ElasticSearchIndex(
590 host=host, port=port, es_client=es_client, es_index_name=es_index_name, es_index_config=es_index_config
591 )
~/opt/anaconda3/lib/python3.8/site-packages/datasets/search.py in __init__(self, host, port, es_client, es_index_name, es_index_config)
123 from elasticsearch import Elasticsearch # noqa: F811
124
--> 125 self.es_client = es_client if es_client is not None else Elasticsearch([{"host": host, "port": str(port)}])
126 self.es_index_name = (
127 es_index_name
~/opt/anaconda3/lib/python3.8/site-packages/elasticsearch/_sync/client/__init__.py in __init__(self, hosts, cloud_id, api_key, basic_auth, bearer_auth, opaque_id, headers, connections_per_node, http_compress, verify_certs, ca_certs, client_cert, client_key, ssl_assert_hostname, ssl_assert_fingerprint, ssl_version, ssl_context, ssl_show_warn, transport_class, request_timeout, node_class, node_pool_class, randomize_nodes_in_pool, node_selector_class, dead_node_backoff_factor, max_dead_node_backoff, serializer, serializers, default_mimetype, max_retries, retry_on_status, retry_on_timeout, sniff_on_start, sniff_before_requests, sniff_on_node_failure, sniff_timeout, min_delay_between_sniffing, sniffed_node_callback, meta_header, timeout, randomize_hosts, host_info_callback, sniffer_timeout, sniff_on_connection_fail, http_auth, maxsize, _transport)
310
311 if _transport is None:
--> 312 node_configs = client_node_configs(
313 hosts,
314 cloud_id=cloud_id,
~/opt/anaconda3/lib/python3.8/site-packages/elasticsearch/_sync/client/utils.py in client_node_configs(hosts, cloud_id, **kwargs)
99 else:
100 assert hosts is not None
--> 101 node_configs = hosts_to_node_configs(hosts)
102
103 # Remove all values which are 'DEFAULT' to avoid overwriting actual defaults.
~/opt/anaconda3/lib/python3.8/site-packages/elasticsearch/_sync/client/utils.py in hosts_to_node_configs(hosts)
142
143 elif isinstance(host, Mapping):
--> 144 node_configs.append(host_mapping_to_node_config(host))
145 else:
146 raise ValueError(
~/opt/anaconda3/lib/python3.8/site-packages/elasticsearch/_sync/client/utils.py in host_mapping_to_node_config(host)
209 options["path_prefix"] = options.pop("url_prefix")
210
--> 211 return NodeConfig(**options) # type: ignore
212
213
TypeError: __init__() missing 1 required positional argument: 'scheme'
```
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 2.0.0
- Platform: Mac
- Python version: 3.8.0
- PyArrow version: 7.0.0
- ElaticSearch Info:
{
"name" : "byname",
"cluster_name" : "elasticsearch_brew",
"cluster_uuid" : "9xkjrltiQIG0J95ciWhqRA",
"version" : {
"number" : "7.10.2-SNAPSHOT",
"build_flavor" : "oss",
"build_type" : "tar",
"build_hash" : "unknown",
"build_date" : "2021-01-16T01:41:27.115673Z",
"build_snapshot" : true,
"lucene_version" : "8.7.0",
"minimum_wire_compatibility_version" : "6.8.0",
"minimum_index_compatibility_version" : "6.0.0-beta1"
},
"tagline" : "You Know, for Search"
}
| 2023-11-21T04:26:20Z | 3,956 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"Hi @amirj, thanks for reporting.\r\n\r\nAt first sight, your issue seems a version incompatibility between your Elasticsearch client and your Elasticsearch server.\r\n\r\nFeel free to have a look at Elasticsearch client docs: https://www.elastic.co/guide/en/elasticsearch/client/python-api/current/overview.html#_co... | {
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1,172,141,664 | https://api.github.com/repos/huggingface/datasets/issues/3954/labels{/name} | ## Dataset viewer issue for 'tdklab/Hebrew_Squad_v1.1'
**Link:** https://huggingface.co/api/datasets/tdklab/Hebrew_Squad_v1.1?full=true
The dataset preview is not available for this dataset.
Am I the one who added this dataset ? Yes | 2022-04-20T12:39:07Z | 3,954 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2022-03-17T09:38:11Z | https://api.github.com/repos/huggingface/datasets/issues/3954/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3954/timeline | The dataset preview is not available for tdklab/Hebrew_Squad_v1.1 dataset | https://api.github.com/repos/huggingface/datasets/issues/3954/events | null | {
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"Hi @MatanBenChorin, thanks for reporting.\r\n\r\nPlease, take into account that the preview may take some time until it properly renders (we are working to reduce this time).\r\n\r\nMaybe @severo can give more details on this.",
"Hi, \r\nThank you",
"Thanks for reporting. We are looking at it and will give upd... | {
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1,172,123,736 | https://api.github.com/repos/huggingface/datasets/issues/3953/labels{/name} | ## Adding a Dataset
- **Name:** ImageNet Sketch
- **Description:** ImageNet-Sketch is a dataset consisting of sketch-like images, that matches the ImageNet classification validation set in categories and scale.
- **Paper:** [Learning Robust Global Representations by Penalizing Local Predictive Power](https://arxiv.org/abs/1905.13549)
- **Data:** https://github.com/HaohanWang/ImageNet-Sketch
- **Motivation:** Allows for evaluating the robustness of vision models.
Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).
| 2022-05-23T18:05:29Z | 3,953 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"color": "bfdadc",... | 2022-03-17T09:20:31Z | https://api.github.com/repos/huggingface/datasets/issues/3953/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3953/timeline | Add ImageNet Sketch | https://api.github.com/repos/huggingface/datasets/issues/3953/events | null | {
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"Can you assign this task to me? @nreimers @mariosasko ",
"Hi! Sure! Let us know if you need any pointers."
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1,171,895,531 | https://api.github.com/repos/huggingface/datasets/issues/3952/labels{/name} | ## Describe the bug
Checksum error for glue sst2, stsb, rte etc datasets
## Steps to reproduce the bug
```python
>>> nlp.load_dataset('glue', 'sst2')
Downloading and preparing dataset glue/sst2 (download: 7.09 MiB, generated: 4.81 MiB, post-processed: Unknown sizetotal: 11.90 MiB) to
Downloading: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 73.0/73.0 [00:00<00:00, 18.2kB/s]
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Library/Python/3.8/lib/python/site-packages/nlp/load.py", line 548, in load_dataset
builder_instance.download_and_prepare(
File "/Library/Python/3.8/lib/python/site-packages/nlp/builder.py", line 462, in download_and_prepare
self._download_and_prepare(
File "/Library/Python/3.8/lib/python/site-packages/nlp/builder.py", line 521, in _download_and_prepare
verify_checksums(
File "/Library/Python/3.8/lib/python/site-packages/nlp/utils/info_utils.py", line 38, in verify_checksums
raise NonMatchingChecksumError(error_msg + str(bad_urls))
nlp.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files:
['https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSST-2.zip?alt=media&token=aabc5f6b-e466-44a2-b9b4-cf6337f84ac8']
```
## Expected results
dataset load should succeed without checksum error.
## Actual results
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Library/Python/3.8/lib/python/site-packages/nlp/load.py", line 548, in load_dataset
builder_instance.download_and_prepare(
File "/Library/Python/3.8/lib/python/site-packages/nlp/builder.py", line 462, in download_and_prepare
self._download_and_prepare(
File "/Library/Python/3.8/lib/python/site-packages/nlp/builder.py", line 521, in _download_and_prepare
verify_checksums(
File "/Library/Python/3.8/lib/python/site-packages/nlp/utils/info_utils.py", line 38, in verify_checksums
raise NonMatchingChecksumError(error_msg + str(bad_urls))
nlp.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files:
['https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSST-2.zip?alt=media&token=aabc5f6b-e466-44a2-b9b4-cf6337f84ac8']
```
## Environment info
- `datasets` version: '1.18.3'
- Platform: Mac OS
- Python version: Python 3.8.9
- PyArrow version: '7.0.0'
| 2022-03-17T07:10:15Z | 3,952 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"Hi, @ravindra-ut.\r\n\r\nI'm sorry but I can't reproduce your problem:\r\n```python\r\nIn [1]: from datasets import load_dataset\r\n\r\nIn [2]: ds = load_dataset(\"glue\", \"sst2\")\r\nDownloading builder script: 28.8kB [00:00, 11.6MB/s] ... | {
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1,171,568,814 | https://api.github.com/repos/huggingface/datasets/issues/3951/labels{/name} | ## Describe the bug
Building on #3950, if you bypass the pickling problem you still can't use the dataset. Somehow something gets confused and the forked processes try to `open` urls rather than anything else.
## Steps to reproduce the bug
```python
from multiprocessing import freeze_support
import transformers
from transformers import Trainer, AutoModelForCausalLM, TrainingArguments
import datasets
import torch.utils.data
# work around #3950
class TorchIterableDataset(datasets.IterableDataset, torch.utils.data.IterableDataset):
pass
def _ensure_format(v: datasets.IterableDataset) -> datasets.IterableDataset:
return TorchIterableDataset(v._ex_iterable, v.info, v.split, "torch", v._shuffling)
if __name__ == '__main__':
freeze_support()
ds = datasets.load_dataset('oscar', "unshuffled_deduplicated_en", split='train', streaming=True)
ds = _ensure_format(ds)
model = AutoModelForCausalLM.from_pretrained("distilgpt2")
Trainer(model, train_dataset=ds, args=TrainingArguments("out", max_steps=1000, dataloader_num_workers=4)).train()
```
## Expected results
I'd expect the dataset to load the url correctly and produce examples.
## Actual results
```
warnings.warn(
***** Running training *****
Num examples = 8000
Num Epochs = 9223372036854775807
Instantaneous batch size per device = 8
Total train batch size (w. parallel, distributed & accumulation) = 8
Gradient Accumulation steps = 1
Total optimization steps = 1000
0%| | 0/1000 [00:00<?, ?it/s]Traceback (most recent call last):
File "/Users/dlwh/src/mistral/src/stream_fork_crash.py", line 22, in <module>
Trainer(model, train_dataset=ds, args=TrainingArguments("out", max_steps=1000, dataloader_num_workers=4)).train()
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/transformers/trainer.py", line 1339, in train
for step, inputs in enumerate(epoch_iterator):
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 521, in __next__
data = self._next_data()
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1203, in _next_data
return self._process_data(data)
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1229, in _process_data
data.reraise()
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/torch/_utils.py", line 434, in reraise
raise exception
FileNotFoundError: Caught FileNotFoundError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 287, in _worker_loop
data = fetcher.fetch(index)
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 32, in fetch
data.append(next(self.dataset_iter))
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/datasets/iterable_dataset.py", line 497, in __iter__
for key, example in self._iter():
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/datasets/iterable_dataset.py", line 494, in _iter
yield from ex_iterable
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/datasets/iterable_dataset.py", line 87, in __iter__
yield from self.generate_examples_fn(**self.kwargs)
File "/Users/dlwh/.cache/huggingface/modules/datasets_modules/datasets/oscar/84838bd49d2295f62008383b05620571535451d84545037bb94d6f3501651df2/oscar.py", line 358, in _generate_examples
with gzip.open(open(filepath, "rb"), "rt", encoding="utf-8") as f:
FileNotFoundError: [Errno 2] No such file or directory: 'https://s3.amazonaws.com/datasets.huggingface.co/oscar/1.0/unshuffled/deduplicated/en/en_part_1.txt.gz'
Error in atexit._run_exitfuncs:
Traceback (most recent call last):
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/multiprocessing/popen_fork.py", line 27, in poll
pid, sts = os.waitpid(self.pid, flag)
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/torch/utils/data/_utils/signal_handling.py", line 66, in handler
_error_if_any_worker_fails()
RuntimeError: DataLoader worker (pid 6932) is killed by signal: Terminated: 15.
0%| | 0/1000 [00:02<?, ?it/s]
```
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 2.0.0
- Platform: macOS-12.2-arm64-arm-64bit
- Python version: 3.8.12
- PyArrow version: 7.0.0
- Pandas version: 1.4.1
| 2022-06-10T20:47:26Z | 3,951 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"Thanks for reporting this second issue as well. We definitely want to make streaming datasets fully working in a distributed setup and with the best performance. Right now it only supports single process.\r\n\r\nIn this issue it seems that the streaming capabilities that we offer to dataset builders are not transf... | {
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1,171,560,585 | https://api.github.com/repos/huggingface/datasets/issues/3950/labels{/name} | ## Describe the bug
Streaming Datasets can't be pickled, so any interaction between them and multiprocessing results in a crash.
## Steps to reproduce the bug
```python
import transformers
from transformers import Trainer, AutoModelForCausalLM, TrainingArguments
import datasets
ds = datasets.load_dataset('oscar', "unshuffled_deduplicated_en", split='train', streaming=True).with_format("torch")
model = AutoModelForCausalLM.from_pretrained("distilgpt2")
Trainer(model, train_dataset=ds, args=TrainingArguments("out", max_steps=1000, dataloader_num_workers=4)).train()
```
## Expected results
For this code I'd expect a crash related to not having preprocessed the data, but instead we get a pickling error.
## Actual results
```
0%| | 0/1000 [00:00<?, ?it/s]Traceback (most recent call last):
File "/Users/dlwh/src/mistral/src/stream_fork_crash.py", line 7, in <module>
Trainer(model, train_dataset=ds, args=TrainingArguments("out", max_steps=1000, dataloader_num_workers=4)).train()
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/transformers/trainer.py", line 1339, in train
for step, inputs in enumerate(epoch_iterator):
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 359, in __iter__
return self._get_iterator()
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 305, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 918, in __init__
w.start()
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/multiprocessing/process.py", line 121, in start
self._popen = self._Popen(self)
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/multiprocessing/context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/multiprocessing/context.py", line 284, in _Popen
return Popen(process_obj)
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 32, in __init__
super().__init__(process_obj)
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/multiprocessing/popen_fork.py", line 19, in __init__
self._launch(process_obj)
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 47, in _launch
reduction.dump(process_obj, fp)
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/multiprocessing/reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
AttributeError: Can't pickle local object 'iterable_dataset.<locals>.TorchIterableDataset'
0%| | 0/1000 [00:00<?, ?it/s]
```
This immediate crash can be fixed by not using a local class to make the `TorchIterableDataset` (Note that you have to do with_format("torch") or you get an exception because the dataset has no len) However, any lambdas etc used as maps will also trigger this crash. A more permanent fix would be to move away from multiprocessing and instead use something like pathos or multiprocessing_on_dill (https://stackoverflow.com/questions/19984152/what-can-multiprocessing-and-dill-do-together)
Note that if you bypass this crash you get another crash. (I'll file a separate bug).
## Environment info
- `datasets` version: 2.0.0
- Platform: macOS-12.2-arm64-arm-64bit
- Python version: 3.8.12
- PyArrow version: 7.0.0
- Pandas version: 1.4.1
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"Hi, thanks for reporting. This could be related to https://github.com/huggingface/datasets/issues/3148 too\r\n\r\nWe should definitely make `TorchIterableDataset` picklable by moving it in the main code instead of inside a function. If you'd like to contribute, feel free to open a Pull Request :)\r\n\r\nI'm also t... | {
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1,171,467,981 | https://api.github.com/repos/huggingface/datasets/issues/3949/labels{/name} | Remove the GLEU metric as it is not actually implemented. | 2022-04-12T20:43:26Z | 3,949 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-16T19:35:31Z | https://api.github.com/repos/huggingface/datasets/issues/3949/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3949/timeline | Remove GLEU metric | https://api.github.com/repos/huggingface/datasets/issues/3949/events | null | {
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1,171,460,560 | https://api.github.com/repos/huggingface/datasets/issues/3948/labels{/name} | Add metric card for Google BLEU (GLEU) metric
One thing I noticed while writing this up is that, while this metric was made specifically to be better than BLEU at the sentence level instead of the corpus level, the current implementation only allows the calculation of the corpus-level statistic. I think changing this would be a good thing to put on the to do list for the future. | 2022-03-21T16:04:26Z | 3,948 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-16T19:27:17Z | https://api.github.com/repos/huggingface/datasets/issues/3948/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3948/timeline | Google BLEU Metric Card | https://api.github.com/repos/huggingface/datasets/issues/3948/events | null | {
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1,171,452,854 | https://api.github.com/repos/huggingface/datasets/issues/3947/labels{/name} | Add BLEU metric card | 2022-03-29T14:59:50Z | 3,947 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-16T19:20:07Z | https://api.github.com/repos/huggingface/datasets/issues/3947/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3947/timeline | BLEU metric card | https://api.github.com/repos/huggingface/datasets/issues/3947/events | null | {
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1,171,239,287 | https://api.github.com/repos/huggingface/datasets/issues/3946/labels{/name} | Fix #3804. | 2023-09-24T10:10:50Z | 3,946 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-16T16:11:11Z | https://api.github.com/repos/huggingface/datasets/issues/3946/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3946/timeline | Add newline to text dataset builder for controlling universal newlines mode | https://api.github.com/repos/huggingface/datasets/issues/3946/events | null | {
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"The failing CI test has nothing to do with this PR.",
"I'm closing this PR."
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1,171,222,257 | https://api.github.com/repos/huggingface/datasets/issues/3945/labels{/name} | The COMET metric has been broken for a while since big breaking changes happened. We did not catch them in the CI because the slow test mocks the download_model function that was changed.
This PR fixes the metric, updates the download_model mock and updates the doctest. | 2022-03-22T15:10:12Z | 3,945 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-16T15:56:47Z | https://api.github.com/repos/huggingface/datasets/issues/3945/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3945/timeline | Fix comet metric | https://api.github.com/repos/huggingface/datasets/issues/3945/events | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Finally I'm done updating the dependencies ^^'\r\n\r\ncc @sashavor can you review my changes in the metric card please ?",
"Looks good to me! Just fixed a tiny typo :wink: ",
"Thanks !"
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3943). All of your documentation changes will be reflected on that endpoint."
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1,171,177,122 | https://api.github.com/repos/huggingface/datasets/issues/3942/labels{/name} | ## Describe the bug
When loading the reddit_tifu dataset, it throws the exception "Checksums didn't match for dataset source files"
## Steps to reproduce the bug
```python
import datasets
from datasets import load_dataset
print(datasets.__version__)
# load_dataset('billsum')
load_dataset('reddit_tifu', 'short')
```
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.17.0
- Platform: mac os
- Python version: Python 3.7.6
- PyArrow version: 3.0.0
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"Hi @XingxingZhang, \r\n\r\nWe have already fixed this. You should update `datasets` version to at least 1.18.4:\r\n```shell\r\npip install -U datasets\r\n```\r\nAnd then force the redownload:\r\n```python\r\nload_dataset(\"...\", download_mode=\"force_redownload\")\r\n```\r\n\r\nDuplicate of:\r\n- #3773",
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1,171,132,709 | https://api.github.com/repos/huggingface/datasets/issues/3941/labels{/name} | ## Describe the bug
When loading the `billsum` dataset, it throws the exception "Checksums didn't match for dataset source files"
```
File "virtualenv_projects/codex/lib/python3.7/site-packages/datasets/utils/info_utils.py", line 40, in verify_checksums
raise NonMatchingChecksumError(error_msg + str(bad_urls))
datasets.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files:
['https://drive.google.com/uc?export=download&id=1g89WgFHMRbr4QrvA0ngh26PY081Nv3lx']
```
## Steps to reproduce the bug
```python
import datasets
from datasets import load_dataset
print(datasets.__version__)
load_dataset('billsum')
```
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.17.0
- Platform: mac os
- Python version: Python 3.7.6
- PyArrow version: 3.0.0
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"Hi @XingxingZhang, thanks for reporting.\r\n\r\nThis was due to a change in Google Drive service:\r\n- #3786 \r\n\r\nWe have already fixed it:\r\n- #3787\r\n\r\nYou should update `datasets` version to at least 1.18.4:\r\n```shell\r\npip install -U datasets\r\n```\r\nAnd then force the redownload:\r\n```python\r\nl... | {
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1,170,882,331 | https://api.github.com/repos/huggingface/datasets/issues/3939/labels{/name} | ## Describe the bug
The source links of v2.0.0 docs are broken:
For exmaple, clicking the source button of this [class](https://huggingface.co/docs/datasets/v2.0.0/en/package_reference/main_classes#datasets.ClassLabel) will direct users to `https://github.com/huggingface/datasets/blob/v2.0.0/src/datasets/features/features.py#L747`
here, the `v2.0.0` should be `2.0.0`.
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
```
## Expected results
Redirecting to this link: `https://github.com/huggingface/datasets/blob/2.0.0/src/datasets/features/features.py#L747`
## Actual results
Described above.
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version:
- Platform:
- Python version:
- PyArrow version:
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"Thanks for reporting @qqaatw.\r\n\r\n@mishig25 @sgugger do you think this can be tweaked in the new doc framework?\r\n- From: https://github.com/huggingface/datasets/blob/v2.0.0/\r\n- To: https://github.com/huggingface/datasets/blob/2.0.0/",
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1,170,832,006 | https://api.github.com/repos/huggingface/datasets/issues/3937/labels{/name} | Hi,
I'm working with the github-code dataset. First of all, thank you for creating this amazing dataset!
I've noticed that two languages are missing from the dataset: TypeScript and Scala.
Looks like they're also omitted from the query you used to get the original code.
Are there any plans to add them in the future?
Thanks! | 2022-03-22T07:09:23Z | 3,937 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"Thanks for contacting @Eytan-S.\r\n\r\nI think @lvwerra could better answer this. ",
"That seems to be an oversight - I originally planned to include them in the dataset and for some reason they were in the list of languages but not in the query. Since there is an issue with the deduplication step I'll rerun the... | {
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1,170,713,473 | https://api.github.com/repos/huggingface/datasets/issues/3936/labels{/name} | To keep backward compatibility when loading using "wikipedia" dataset ID (https://huggingface.co/datasets/wikipedia), we have created the pre-processed data for the same languages we were offering before, but with updated date "20220301":
- de
- en
- fr
- frr
- it
- simple
These pre-processed data can be accessed, e.g.:
```python
ds = load_dataset("wikipedia", "20220301.frr", split="train")
```
The next step will be to offer the pre-processed data for many other languages, but when loading using "wikimedia/wikipedia": https://huggingface.co/datasets/wikimedia/wikipedia | 2022-03-16T17:04:07Z | 3,936 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-16T08:48:04Z | https://api.github.com/repos/huggingface/datasets/issues/3936/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3936/timeline | Fix Wikipedia version and re-add tests | https://api.github.com/repos/huggingface/datasets/issues/3936/events | null | {
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1,170,253,605 | https://api.github.com/repos/huggingface/datasets/issues/3933/labels{/name} | Fixing missing triple quote | 2022-03-17T17:51:24Z | 3,933 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-15T20:52:05Z | https://api.github.com/repos/huggingface/datasets/issues/3933/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3933/timeline | Update README.md | https://api.github.com/repos/huggingface/datasets/issues/3933/events | null | {
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1,170,097,208 | https://api.github.com/repos/huggingface/datasets/issues/3931/labels{/name} | This PR documents the `align_labels_with_mapping` function to ensure predicted labels are aligned with the dataset, or to assign a different mapping of labels to ids (requested by @mariosasko π ).
For this specific code sample, the current dataset has a `mixed` label that the original [dataset](https://huggingface.co/datasets/poem_sentiment#data-fields) didn't. Is there a way to remove this label so it is completely aligned with the original dataset mappings? Otherwise, I'll just leave it as it is. | 2022-03-18T16:28:31Z | 3,931 | null | https://api.github.com/repos/huggingface/datasets | false | [
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1,170,087,793 | https://api.github.com/repos/huggingface/datasets/issues/3930/labels{/name} | Creating a README for IndicGLUE
cc @mcmillanmajora for fact checking in terms of languages (also, are there any limitations of the dataset or eval metric that I'm not aware of?) | 2022-04-04T15:23:15Z | 3,930 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-15T19:16:59Z | https://api.github.com/repos/huggingface/datasets/issues/3930/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3930/timeline | Create README.md | https://api.github.com/repos/huggingface/datasets/issues/3930/events | null | {
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1,170,066,235 | https://api.github.com/repos/huggingface/datasets/issues/3929/labels{/name} | ## Describe the bug
Load a local "dataset" composed of two csv files twice.
## Steps to reproduce the bug
Put the two joined files in a repository named "Data".
Then in python:
import datasets as ds
ds.load_dataset('Data', data_files = {'file1.csv', 'file2.csv'})
## Expected results
Should give something like (because files have only one data row):
Title, clicks
Truc et astuce, 123
Machin, 12
## Actual results
Gives
Title, clicks
Truc et astuce, 123
Machin, 12
Truc et astuce, 123
Machin, 12
## Environment info
[file1.csv](https://github.com/huggingface/datasets/files/8256322/file1.csv)
[file2.csv](https://github.com/huggingface/datasets/files/8256323/file2.csv)
- `datasets` version: 2.0.0
- Platform: Linux-5.4.0-65-generic-x86_64-with-glibc2.10
- Python version: 3.8.12
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- Pandas version: 1.4.1 | 2022-03-16T09:55:09Z | 3,929 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"Hi @caush, thanks for reporting:\r\n\r\nIn order to load local CSV files, you can use our \"csv\" loading script: https://huggingface.co/docs/datasets/loading#csv\r\n```python\r\ndataset = load_dataset(\"csv\", data_files=[\"data/file1.csv\", \"data/file2.csv\"])\r\n```\r\nOR:\r\n```python\r\ndataset = load_datase... | {
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1,170,017,132 | https://api.github.com/repos/huggingface/datasets/issues/3928/labels{/name} | ## Describe the bug
The frugal score returns a really verbose output with warnings that can be easily changed.
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
from datasets.load import load_metric
frugal = load_metric("frugalscore")
frugal.compute(predictions=["Do you like spinachis"], references=["Do you like spinach"])
```
## Expected results
A clear and concise description of the expected results.
```
{'scores': [0.9946]}
```
## Actual results
Specify the actual results or traceback.
```
PyTorch: setting up devices
The default value for the training argument `--report_to` will change in v5 (from all installed integrations to none). In v5, you will need to use `--report_to all` to get the same behavior as now. You should start updating your code and make this info disappear :-).
100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1/1 [00:00<00:00, 864.09ba/s]
Using amp half precision backend
The following columns in the test set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: sentence2, sentence1. If sentence2, sentence1 are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message.
***** Running Prediction *****
Num examples = 1
Batch size = 64
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1/1 [00:00<00:00, 4644.85it/s]
{'scores': [0.9946]}
```
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.17.0
- Platform: Linux-5.13.0-30-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyArrow version: 7.0.0
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1,170,016,465 | https://api.github.com/repos/huggingface/datasets/issues/3927/labels{/name} | The main readme was still focused on text datasets - I extended it by mentioning that we also support image and audio datasets | 2022-03-29T10:13:47Z | 3,927 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-15T18:09:59Z | https://api.github.com/repos/huggingface/datasets/issues/3927/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3927/timeline | Update main readme | https://api.github.com/repos/huggingface/datasets/issues/3927/events | null | {
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1,169,945,052 | https://api.github.com/repos/huggingface/datasets/issues/3926/labels{/name} | This PR adds some minor maintenance to the docs. The main fix is properly linking to pages in the callouts because some of the links would just redirect to a non-existent section on the same page. | 2022-03-15T19:27:15Z | 3,926 | null | https://api.github.com/repos/huggingface/datasets | false | [
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1,169,913,769 | https://api.github.com/repos/huggingface/datasets/issues/3925/labels{/name} | Currently the `main_classes` documentation has a wrong index. I believe this comes from issues in the examples of the Translation feature types
| 2022-03-22T13:49:11Z | 3,925 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-15T16:33:46Z | https://api.github.com/repos/huggingface/datasets/issues/3925/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3925/timeline | Fix main_classes docs index | https://api.github.com/repos/huggingface/datasets/issues/3925/events | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
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"Ok fixed :)"
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1,169,805,813 | https://api.github.com/repos/huggingface/datasets/issues/3924/labels{/name} | In general we recommend adding the new dataset under a username or organization in the Hugging Face Hub at [hf.co/datasets](hf.co/datasets), but users can still add a dataset on github in some cases.
I added a paragraph in the documentation to explain in which cases it can make more sense to open a PR on github:
- when you need the dataset to be reviewed
- when you need long-term maintenance from the HF team
- when thereβs no clear org name / namespace that you can put the dataset under | 2022-04-05T18:33:15Z | 3,924 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-15T15:10:10Z | https://api.github.com/repos/huggingface/datasets/issues/3924/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3924/timeline | Document cases for github datasets | https://api.github.com/repos/huggingface/datasets/issues/3924/events | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3924). All of your documentation changes will be reflected on that endpoint.",
"Yay!"
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1,169,773,869 | https://api.github.com/repos/huggingface/datasets/issues/3923/labels{/name} | Following the new methods added in #3826 and https://github.com/huggingface/datasets/pull/3862 I added several methods to IterableDatasetDict:
- map
- filter
- shuffle
- with_format
- cast
- cast_column
- remove_columns
- rename_column
- rename_columns
| 2022-07-06T15:40:20Z | 3,923 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-15T14:46:03Z | https://api.github.com/repos/huggingface/datasets/issues/3923/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3923/timeline | Add methods to IterableDatasetDict | https://api.github.com/repos/huggingface/datasets/issues/3923/events | null | {
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1,169,761,293 | https://api.github.com/repos/huggingface/datasets/issues/3922/labels{/name} | Fix #2957 | 2022-03-15T16:07:04Z | 3,922 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-15T14:36:28Z | https://api.github.com/repos/huggingface/datasets/issues/3922/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3922/timeline | Fix NonMatchingChecksumError in MultiWOZ 2.2 dataset | https://api.github.com/repos/huggingface/datasets/issues/3922/events | null | {
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1,169,749,338 | https://api.github.com/repos/huggingface/datasets/issues/3921/labels{/name} | Fix #3051 | 2022-03-15T15:54:27Z | 3,921 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-15T14:27:14Z | https://api.github.com/repos/huggingface/datasets/issues/3921/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3921/timeline | Fix NonMatchingChecksumError in CRD3 dataset | https://api.github.com/repos/huggingface/datasets/issues/3921/events | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3921). All of your documentation changes will be reflected on that endpoint.",
"Unrelated test failure. This PR can be merged."
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1,169,532,807 | https://api.github.com/repos/huggingface/datasets/issues/3920/labels{/name} | @albertvillanova
python 3.9
os: ubuntu 20.04
In conda environment
torch installed by
```/env/bin/pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html```
datasets package is installed by
```
/env/bin/pip install datasets==1.8.0
```
During runing the code I have this error
```
[6]<stderr>: File "/home/arij/Memory-transformer-with-hierarchical-attention_MLM/env/lib/python3.9/site-packages/torch/serialization.py", line 875, in find_class
[6]<stderr>: return super().find_class(mod_name, name)
[6]<stderr>:ModuleNotFoundError: No module named 'datasets.features.features'; 'datasets.features' is not a package
```
precisely this error appears when
torch.load('data_file.pt')
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/arij/Memory-transformer-with-hierarchical-attention_MLM/env/lib/python3.9/site-packages/torch/serialization.py", line 607, in load
return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args)
File "/home/arij/Memory-transformer-with-hierarchical-attention_MLM/env/lib/python3.9/site-packages/torch/serialization.py", line 882, in _load
result = unpickler.load()
File "/home/arij/Memory-transformer-with-hierarchical-attention_MLM/env/lib/python3.9/site-packages/torch/serialization.py", line 875, in find_class
return super().find_class(mod_name, name)
ModuleNotFoundError: No module named 'datasets.features.features'; 'datasets.features' is not a package
```
Why I am getting this error?
| 2022-03-16T09:17:12Z | 3,920 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2022-03-15T11:14:23Z | https://api.github.com/repos/huggingface/datasets/issues/3920/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3920/timeline | 'datasets.features' is not a package | https://api.github.com/repos/huggingface/datasets/issues/3920/events | null | {
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} | [] | null | completed | NONE | 2022-03-16T09:17:12Z | null | I_kwDODunzps5FtaeH | [
"Hi @Arij-Aladel,\r\n\r\nYou are using a very old version of our library `datasets`: 1.8.0\r\nCurrent version is 2.0.0 (and the previous one was 1.18.4)\r\n\r\nPlease, try to update `datasets` library and check if the problem persists:\r\n```shell\r\n/env/bin/pip install -U datasets",
"The problem I can no I have... | {
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1,169,497,210 | https://api.github.com/repos/huggingface/datasets/issues/3919/labels{/name} | ## Describe the bug
Receiving the error when trying to check for Dataset features
## Steps to reproduce the bug
from datasets import Dataset
dataset = Dataset.from_pandas(df[['id', 'words', 'bboxes', 'ner_tags', 'image_path']])
dataset.features
## Expected results
A clear and concise description of the expected results.
## Actual results
Getting the following errror
AttributeError: 'DatasetDict' object has no attribute 'features'
## Environment info
Copy-and-paste the text below in your GitHub issue.
- `datasets` version: 1.18.4
- Platform: Linux-4.14.252-131.483.amzn1.x86_64-x86_64-with-glibc2.9
- Python version: 3.6.13
- PyArrow version: 6.0.1
| 2022-03-17T04:16:14Z | 3,919 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"You are likely trying to get the `features` from a `DatasetDict`, a dictionary containing `Datasets`. You probably first want to index into a particular split from your `DatasetDict` i.e. `dataset['train'].features`. \r\n\r\nFor example \r\n\r\n```python \r\nds = load_dataset('mnist')\r\nds.features\r\n```\r\nRetu... | {
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1,169,366,117 | https://api.github.com/repos/huggingface/datasets/issues/3918/labels{/name} | ## Describe the bug
Can't load the dataset
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
```
from datasets import load_dataset
dataset = load_dataset('multi_news')
dataset_2=load_dataset("reddit_tifu", "long")
## Actual results
raise NonMatchingChecksumError(error_msg + str(bad_urls))
datasets.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files:
['https://drive.google.com/uc?export=download&id=1ffWfITKFMJeqjT8loC8aiCLRNJpc_XnF']
## Environment info
- `datasets` version: 1.18.4
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.8.0
- PyArrow version: 6.0.1
| 2022-03-16T15:36:58Z | 3,918 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"descript... | 2022-03-15T08:53:45Z | https://api.github.com/repos/huggingface/datasets/issues/3918/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3918/timeline | datasets.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files | https://api.github.com/repos/huggingface/datasets/issues/3918/events | null | {
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"Hi @willowdong! These issues were fixed on master. We will have a new release of `datasets` later today. In the meantime, you can avoid these issues by installing `datasets` from master as follows:\r\n```bash\r\npip install git+https://github.com/huggingface/datasets.git\r\n```",
"You should force redownload:\r\... | {
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1,168,906,154 | https://api.github.com/repos/huggingface/datasets/issues/3917/labels{/name} | This follows the same structure as the GLUE metric card, hope that works for everyone :) | 2022-03-17T17:45:39Z | 3,917 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-14T21:08:10Z | https://api.github.com/repos/huggingface/datasets/issues/3917/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3917/timeline | Create README.md | https://api.github.com/repos/huggingface/datasets/issues/3917/events | null | {
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1,168,869,191 | https://api.github.com/repos/huggingface/datasets/issues/3916/labels{/name} | I still have a hesitation regarding the format of inputs -- whether it's a list or a list of lists? -- hopefully @lhoestq will be able to clarify.
Also tagging @yjernite for the Limitations section. Happy to hear your thoughts! | 2022-03-15T17:06:57Z | 3,916 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-14T20:27:22Z | https://api.github.com/repos/huggingface/datasets/issues/3916/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3916/timeline | Create README.md for GLUE | https://api.github.com/repos/huggingface/datasets/issues/3916/events | null | {
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1,168,848,101 | https://api.github.com/repos/huggingface/datasets/issues/3915/labels{/name} | Adding a metric card template, based on ideas and edits from @sashavor and I, as well as from comments from @lhoestq and others (thank you!).
All feedback is welcome, but am especially curious about feedback in terms of:
- things that should be included but aren't
- things that are included but should be changed or removed
- the instructions I included, and whether they should be added to, clarified, or deleted altogether | 2022-05-04T10:44:09Z | 3,915 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-14T20:07:08Z | https://api.github.com/repos/huggingface/datasets/issues/3915/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3915/timeline | Metric card template | https://api.github.com/repos/huggingface/datasets/issues/3915/events | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Looks like a great start! I have a general comment and a few specific comments.\r\n\r\nMy general comment is I wonder if we need a post for this template and the data and model card templates (or a combined one?) explaining why this ... | {
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1,168,777,880 | https://api.github.com/repos/huggingface/datasets/issues/3914/labels{/name} | This PR updates the jobs for all doc-building related things by using the templates introduced on `doc-builder`. By putting those once there, we make sure every repo gets the latest fixes on the doc-building github actions :-)
Note: all libraries must share the same docker image for those doc-building jobs. For now, all the one used (`huggingface/transformers-doc-builder`) contains all extra steps of the datasets install for docbuling (mainly libsndfile) but if in the future some additional steps are necessary on top of `pip install -e .[dev]`, this docker image will need to be updated with the extra deps. | 2022-03-17T15:02:59Z | 3,914 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-14T18:53:06Z | https://api.github.com/repos/huggingface/datasets/issues/3914/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3914/timeline | Use templates for doc-builidng jobs | https://api.github.com/repos/huggingface/datasets/issues/3914/events | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3914). All of your documentation changes will be reflected on that endpoint.",
"You can ignore the CI failures btw, they're unrelated to this PR"
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1,168,723,950 | https://api.github.com/repos/huggingface/datasets/issues/3913/labels{/name} | The order in which the splits are processed by `map` is not deterministic in `DatasetDict.map`. This can cause caching issues when the processing function is stateful and sensible to the order in which examples are processed
Close https://github.com/huggingface/datasets/issues/3847 | 2023-09-24T09:55:10Z | 3,913 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-14T17:58:37Z | https://api.github.com/repos/huggingface/datasets/issues/3913/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3913/timeline | Deterministic split order in DatasetDict.map | https://api.github.com/repos/huggingface/datasets/issues/3913/events | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3913). All of your documentation changes will be reflected on that endpoint.",
"I'm surprised this is needed because the order of the `dict` keys is deterministic as of Python 3.6 (documented in 3.7). Is there a reproducer for ... | {
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1,168,720,098 | https://api.github.com/repos/huggingface/datasets/issues/3912/labels{/name} | This PR adds a register function for `pandas`. It allows to directly push `DataFrame` objects to the hub and in return loading datasets on the hub from `DataFrame`. The motivation for this integration is to enable the vast number of `pandas` users to be able to easily push `DataFrames` to the hub.
Here is an example:
```python
import pandas as pd
from datasets import register_pandas
register_pandas()
# push to hub
df = pd.DataFrame.from_dict({"test": [1,2,3]})
df.push_to_hub("my_test")
# load from hub
df_retrieved = pd.DataFrame.load_from_hub("lvwerra/my_test")
```
It follows a similar philosophy as the `tqdm` [integration](https://github.com/tqdm/tqdm#pandas-integration). Also see [this issue](https://github.com/pandas-dev/pandas/issues/46000) on the `pandas` repository.
This is just a rough draft of what such integration could look like but I would like appreciate some feedback on this: is this something you would like to add the library and is this the way to go? cc @lhoestq @albertvillanova @julien-c | 2023-09-24T09:55:01Z | 3,912 | null | https://api.github.com/repos/huggingface/datasets | true | [] | 2022-03-14T17:54:29Z | https://api.github.com/repos/huggingface/datasets/issues/3912/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3912/timeline | add draft of registering function for pandas | https://api.github.com/repos/huggingface/datasets/issues/3912/events | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3912). All of your documentation changes will be reflected on that endpoint.",
"That's cool ! Though I would expect such an integration to only require `huggingface_hub`, not the full `datasets` library. \r\n Indeed if users wa... | {
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1,168,652,374 | https://api.github.com/repos/huggingface/datasets/issues/3911/labels{/name} | Initial proposal for a CER metric card
cc @patrickvonplaten - wdyt this time around? :smile: | 2022-03-17T17:49:40Z | 3,911 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-14T16:54:51Z | https://api.github.com/repos/huggingface/datasets/issues/3911/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3911/timeline | Create README.md for CER metric | https://api.github.com/repos/huggingface/datasets/issues/3911/events | null | {
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1,168,579,694 | https://api.github.com/repos/huggingface/datasets/issues/3910/labels{/name} | Currently, `text` loader breaks on a superset of universal newlines, which also contains Unicode line boundaries. See: https://docs.python.org/3/library/stdtypes.html#str.splitlines
However, the expected behavior is to get the lines splitted only on universal newlines: "\n", "\r\n" and "\r".
See: oscar-corpus/corpus#18
Fix #3729. | 2022-03-15T16:16:11Z | 3,910 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-14T15:54:58Z | https://api.github.com/repos/huggingface/datasets/issues/3910/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3910/timeline | Fix text loader to split only on universal newlines | https://api.github.com/repos/huggingface/datasets/issues/3910/events | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3910). All of your documentation changes will be reflected on that endpoint.",
"Looks like the test needs to be updated for windows ^^'",
"I don't think this is the same issue as in https://github.com/oscar-corpus/corpus/issu... | {
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1,168,578,058 | https://api.github.com/repos/huggingface/datasets/issues/3909/labels{/name} | ## Describe the bug
When loading the Common_Voice dataset, by downloading it directly from the Hugging Face hub, some files can not be opened.
## Steps to reproduce the bug
```python
import torch
import torchaudio
from datasets import load_dataset, load_metric
from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
import re
test_dataset = load_dataset("common_voice", "it", split="test")
#test_dataset = load_dataset('csv', data_files = {'test': '/workspace/Dataset/Common_Voice/cv-corpus80/it/test.csv'})
wer = load_metric("wer")
processor = Wav2Vec2Processor.from_pretrained("joorock12/wav2vec2-large-xlsr-italian")
model = Wav2Vec2ForCTC.from_pretrained("joorock12/wav2vec2-large-xlsr-italian")
model.to("cuda")
chars_to_ignore_regex = '[\,\?\.\!\-\;\:\"\β\'\οΏ½]'
resampler = torchaudio.transforms.Resample(48_000, 16_000)
```
## Expected results
The common voice dataset downloaded and correctly loaded whit the use of the hugging face datasets library.
## Actual results
The error is:
```python
0ex [00:00, ?ex/s]
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
<ipython-input-48-ef87f4129e6e> in <module>
7 return batch
8
----> 9 test_dataset = test_dataset.map(speech_file_to_array_fn)
/opt/conda/lib/python3.8/site-packages/datasets/arrow_dataset.py in map(self, function, with_indices, with_rank, input_columns, batched, batch_size, drop_last_batch, remove_columns, keep_in_memory, load_from_cache_file, cache_file_name, writer_batch_size, features, disable_nullable, fn_kwargs, num_proc, suffix_template, new_fingerprint, desc)
2107
2108 if num_proc is None or num_proc == 1:
-> 2109 return self._map_single(
2110 function=function,
2111 with_indices=with_indices,
/opt/conda/lib/python3.8/site-packages/datasets/arrow_dataset.py in wrapper(*args, **kwargs)
516 self: "Dataset" = kwargs.pop("self")
517 # apply actual function
--> 518 out: Union["Dataset", "DatasetDict"] = func(self, *args, **kwargs)
519 datasets: List["Dataset"] = list(out.values()) if isinstance(out, dict) else [out]
520 for dataset in datasets:
/opt/conda/lib/python3.8/site-packages/datasets/arrow_dataset.py in wrapper(*args, **kwargs)
483 }
484 # apply actual function
--> 485 out: Union["Dataset", "DatasetDict"] = func(self, *args, **kwargs)
486 datasets: List["Dataset"] = list(out.values()) if isinstance(out, dict) else [out]
487 # re-apply format to the output
/opt/conda/lib/python3.8/site-packages/datasets/fingerprint.py in wrapper(*args, **kwargs)
411 # Call actual function
412
--> 413 out = func(self, *args, **kwargs)
414
415 # Update fingerprint of in-place transforms + update in-place history of transforms
/opt/conda/lib/python3.8/site-packages/datasets/arrow_dataset.py in _map_single(self, function, with_indices, with_rank, input_columns, batched, batch_size, drop_last_batch, remove_columns, keep_in_memory, load_from_cache_file, cache_file_name, writer_batch_size, features, disable_nullable, fn_kwargs, new_fingerprint, rank, offset, disable_tqdm, desc, cache_only)
2465 if not batched:
2466 for i, example in enumerate(pbar):
-> 2467 example = apply_function_on_filtered_inputs(example, i, offset=offset)
2468 if update_data:
2469 if i == 0:
/opt/conda/lib/python3.8/site-packages/datasets/arrow_dataset.py in apply_function_on_filtered_inputs(inputs, indices, check_same_num_examples, offset)
2372 if with_rank:
2373 additional_args += (rank,)
-> 2374 processed_inputs = function(*fn_args, *additional_args, **fn_kwargs)
2375 if update_data is None:
2376 # Check if the function returns updated examples
/opt/conda/lib/python3.8/site-packages/datasets/arrow_dataset.py in decorated(item, *args, **kwargs)
2067 )
2068 # Use the LazyDict internally, while mapping the function
-> 2069 result = f(decorated_item, *args, **kwargs)
2070 # Return a standard dict
2071 return result.data if isinstance(result, LazyDict) else result
<ipython-input-48-ef87f4129e6e> in speech_file_to_array_fn(batch)
3 def speech_file_to_array_fn(batch):
4 batch["sentence"] = re.sub(chars_to_ignore_regex, '', batch["sentence"]).lower()
----> 5 speech_array, sampling_rate = torchaudio.load(batch["path"])
6 batch["speech"] = resampler(speech_array).squeeze().numpy()
7 return batch
/opt/conda/lib/python3.8/site-packages/torchaudio/backend/sox_io_backend.py in load(filepath, frame_offset, num_frames, normalize, channels_first, format)
150 filepath, frame_offset, num_frames, normalize, channels_first, format)
151 filepath = os.fspath(filepath)
--> 152 return torch.ops.torchaudio.sox_io_load_audio_file(
153 filepath, frame_offset, num_frames, normalize, channels_first, format)
154
RuntimeError: Error loading audio file: failed to open file common_voice_it_17415776.mp3 ```
## Environment info
- `datasets` version: 1.18.4
- Platform: Linux-5.4.0-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyArrow version: 7.0.0 | 2023-03-02T15:31:27Z | 3,909 | null | https://api.github.com/repos/huggingface/datasets | null | [
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} | [] | null | completed | NONE | 2023-03-02T15:31:26Z | null | I_kwDODunzps5FpxYK | [
"Hi ! It could an issue with torchaudio, which version of torchaudio are you using ? Can you also try updating `datasets` to 2.0.0 and see if it works ?",
"I _might_ have a similar issue. I'm trying to use the librispeech_asr dataset and read it with soundfile.\r\n\r\n```python\r\nfrom datasets import load_datase... | {
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1,168,576,963 | https://api.github.com/repos/huggingface/datasets/issues/3908/labels{/name} | Putting "Values from popular papers" as a subsection of "Output values" | 2022-03-15T17:04:11Z | 3,908 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-14T15:53:10Z | https://api.github.com/repos/huggingface/datasets/issues/3908/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3908/timeline | Update README.md for SQuAD v2 metric | https://api.github.com/repos/huggingface/datasets/issues/3908/events | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3907). All of your documentation changes will be reflected on that endpoint."
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1,168,496,328 | https://api.github.com/repos/huggingface/datasets/issues/3906/labels{/name} | ## Describe the bug
Failure to generate dataset ```spider``` because of checksums error for dataset source files.
## Steps to reproduce the bug
```
from datasets import load_dataset
spider = load_dataset("spider")
```
## Expected results
Checksums should match for files from url ['https://drive.google.com/uc?export=download&id=1_AckYkinAnhqmRQtGsQgUKAnTHxxX5J0']
## Actual results
```
>>> load_dataset("spider")
load_dataset("spider")
Downloading and preparing dataset spider/spider (download: 95.12 MiB, generated: 5.17 MiB, post-processed: Unknown size, total: 100.29 MiB) to /home/user/.cache/huggingface/datasets/spider/spider/1.0.0/79778ebea87c59b19411f1eb3eda317e9dd5f7788a556d837ef25c3ae6e5e8b7...
Traceback (most recent call last):
File "/home/user/py3_env/lib/python3.8/site-packages/IPython/core/interactiveshell.py", line 3441, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-5-d4cb54197348>", line 1, in <module>
load_dataset("spider")
File "/home/user/py3_env/lib/python3.8/site-packages/datasets/load.py", line 1702, in load_dataset
builder_instance.download_and_prepare(
File "/home/user/py3_env/lib/python3.8/site-packages/datasets/builder.py", line 594, in download_and_prepare
self._download_and_prepare(
File "/home/user/py3_env/lib/python3.8/site-packages/datasets/builder.py", line 665, in _download_and_prepare
verify_checksums(
File "/home/user/py3_env/lib/python3.8/site-packages/datasets/utils/info_utils.py", line 40, in verify_checksums
raise NonMatchingChecksumError(error_msg + str(bad_urls))
datasets.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files:
['https://drive.google.com/uc?export=download&id=1_AckYkinAnhqmRQtGsQgUKAnTHxxX5J0']
```
## Environment info
datasets version: 1.18.3
Platform: Ubuntu 20 LTS
Python version: 3.8.10
PyArrow version: 6.0.1
| 2022-03-15T07:09:51Z | 3,906 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"Hi @kolk, thanks for reporting.\r\n\r\nIndeed, Google Drive service recently changed their service and we had to add a fix to our library to cope with that change:\r\n- #3787 \r\n\r\nWe just made patch release last week: 1.18.4 https://github.com/huggingface/datasets/releases/tag/1.18.4\r\n\r\nPlease, feel free to... | {
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1,168,320,568 | https://api.github.com/repos/huggingface/datasets/issues/3905/labels{/name} | Add Perplexity metric card
Note that it is currently still missing the citation, but I plan to add it later today. | 2022-03-16T19:38:56Z | 3,905 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-14T12:39:40Z | https://api.github.com/repos/huggingface/datasets/issues/3905/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3905/timeline | Perplexity Metric Card | https://api.github.com/repos/huggingface/datasets/issues/3905/events | null | {
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} | PR_kwDODunzps40ZJQJ | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3905). All of your documentation changes will be reflected on that endpoint.",
"I'm wondering if we should add that perplexity can be used for analyzing datasets as well",
"Otherwise, looks good! Good job, @emibaylor !"
] | {
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1,167,730,095 | https://api.github.com/repos/huggingface/datasets/issues/3904/labels{/name} | ## Describe the bug
[CONLL2003](https://huggingface.co/datasets/conll2003) Dataset can no longer reach 'https://data.deepai.org/conll2003.zip'
## Steps to reproduce the bug
```python
from datasets import load_dataset
datasets = load_dataset("conll2003")
```
## Expected results
Download the conll2003 dataset.
## Actual results
Error: `ConnectionError: Couldn't reach https://data.deepai.org/conll2003.zip (error 502)`
| 2023-06-28T18:08:16Z | 3,904 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"Thanks for reporting, @omarespejel.\r\n\r\nI'm sorry but I can't reproduce the issue: the loading of the dataset works perfecto for me and I can reach the data URL: https://data.deepai.org/conll2003.zip\r\n\r\nMight it be due to a temporary problem in the data owner site (https://data.deepai.org/) that is fixed no... | {
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1,167,521,627 | https://api.github.com/repos/huggingface/datasets/issues/3903/labels{/name} | This PR adds the Biwi Kinect Head Pose dataset.
Dataset Request : Add Biwi Kinect Head Pose Database [#3822](https://github.com/huggingface/datasets/issues/3822)
The Biwi Kinect Head Pose Database is acquired with the Microsoft Kinect sensor, a structured IR light device.It contains 15K images of 20 people with 6 females and 14 males where 4 people were recorded twice.
For each frame, there is :
- a depth image, (.bin file)
- a corresponding rgb image (both 640x480 pixels),
- annotation ( present inside a .txt file)
The ground truth is the 3D location of the head and its rotation.
The dataset structure is as follows :
```
- 01.obj
- 01
- frame_00003_depth.bin
- frame_00003_pose.txt
- frame_00003_rgb.png
.
.
.
- 02.obj
- 02
- frame_00003_depth.bin
- frame_00003_pose.txt
- frame_00003_rgb.png
.
.
.
```
Preview of frame_00003_pose.txt :
```
0.988397 0.0731349 0.133128
-0.0441539 0.976945 -0.208876
-0.145334 0.200575 0.968838
126.665 40.4515 876.198
```
I have used the following dataset features :
```
features=datasets.Features(
{
"person_id": datasets.Value("string"),
"frame_number": datasets.Value("string"),
"depth_image": datasets.Value("string"),
"rgb_image": datasets.Image(),
"3D_head_center": datasets.Array2D(shape=(3, 3), dtype="float"),
"3D_head_rotation": datasets.Value("float"),
}
```
I am giving the path to the depth_image here.
I need some inputs for the following :
1. For each person, the dataset has the following additional information :
```
For each sequence, the corresponding .obj file represents a head template deformed to match the neutral face of that specific person. [*.obj file]
In each folder, two .cal files contain calibration information for the depth and the color camera, e.g., the intrinsic camera matrix of the depth camera and the global rotation and translation to the rgb camera.
```
Wanted to know how we can represent these features ?
2. For _generate_examples , do I parse the directories and fetch the required information ? This would mean reading the .txt file to obtain the "3D_head_center" and "3D_head_rotation" details. We could precompute the features information and have a metadata file and use the metadata file to yield information in _generate_examples ? Wanted your thoughts for the best approach for this ?
| 2022-05-31T17:02:19Z | 3,903 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-13T08:59:21Z | https://api.github.com/repos/huggingface/datasets/issues/3903/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3903/timeline | Add Biwi Kinect Head Pose dataset. | https://api.github.com/repos/huggingface/datasets/issues/3903/events | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for the detailed explanation of the structure!\r\n\r\n1. IMO it makes the most sense to yield one example for each person (so the total of 24 examples), so the features dict should be similar to this:\r\n \r\n ```python\r\n ... | {
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1,167,403,377 | https://api.github.com/repos/huggingface/datasets/issues/3902/labels{/name} | ## Describe the bug
Unable to import datasets
## Steps to reproduce the bug
```python
from datasets import Dataset, DatasetDict
```
## Expected results
The import works without errors
## Actual results
```
AttributeError Traceback (most recent call last)
<ipython-input-37-c8cfcbe62127> in <module>
11 # from tqdm import tqdm
12 # import torch
---> 13 from datasets import Dataset
14 # from transformers import Trainer, TrainingArguments, AutoModel, AutoTokenizer, AutoModelForMaskedLM, DataCollatorForLanguageModeling
15 # from sentence_transformers import SentenceTransformer
~/.local/lib/python3.8/site-packages/datasets/__init__.py in <module>
31 )
32
---> 33 from .arrow_dataset import Dataset, concatenate_datasets
34 from .arrow_reader import ArrowReader, ReadInstruction
35 from .arrow_writer import ArrowWriter
~/.local/lib/python3.8/site-packages/datasets/arrow_dataset.py in <module>
46 )
47
---> 48 import fsspec
49 import numpy as np
50 import pandas as pd
~/.local/lib/python3.8/site-packages/fsspec/__init__.py in <module>
10 from . import _version, caching
11 from .callbacks import Callback
---> 12 from .core import get_fs_token_paths, open, open_files, open_local
13 from .exceptions import FSTimeoutError
14 from .mapping import FSMap, get_mapper
~/.local/lib/python3.8/site-packages/fsspec/core.py in <module>
16 caches,
17 )
---> 18 from .compression import compr
19 from .registry import filesystem, get_filesystem_class
20 from .utils import (
~/.local/lib/python3.8/site-packages/fsspec/compression.py in <module>
68
69
---> 70 register_compression("zip", unzip, "zip")
71 register_compression("bz2", BZ2File, "bz2")
72
~/.local/lib/python3.8/site-packages/fsspec/compression.py in register_compression(name, callback, extensions, force)
44
45 for ext in extensions:
---> 46 if ext in fsspec.utils.compressions and not force:
47 raise ValueError(
48 "Duplicate compression file extension: %s (%s)" % (ext, name)
AttributeError: partially initialized module 'fsspec' has no attribute 'utils' (most likely due to a circular import)
```
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.18.4
- Platform: Jupyter notebook
- Python version: 3.8.10
- PyArrow version: 7.0.0
| 2023-02-09T14:53:49Z | 3,902 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"following_url": "https://api.github.com/users/albertvillanova/following{/o... | null | completed | NONE | 2022-03-22T07:10:41Z | null | I_kwDODunzps5FlSlx | [
"Update: `\"python3 -c \"from from datasets import Dataset, DatasetDict\"` works, but not if I import without the `python3 -c`",
"Hi @arunasank, thanks for reporting.\r\n\r\nIt seems that this can be caused because you are using an old version of `fsspec`: the reason why it works if you run `python3` seems to be ... | {
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1,167,339,773 | https://api.github.com/repos/huggingface/datasets/issues/3901/labels{/name} | ## Dataset viewer issue for '*IndicParaphrase*'
**Link:** *[IndicParaphrase](https://huggingface.co/datasets/ai4bharat/IndicParaphrase/viewer/hi/validation)*
*The preview of the dataset doesn't come up.
The error on the console is:
Status code: 400
Exception: FileNotFoundError
Message: [Errno 2] No such file or directory: '/home/hf/datasets-preview-backend/hi_IndicParaphrase_v1.0.tar'*
Am I the one who added this dataset ? Yes
| 2022-04-12T12:10:50Z | 3,901 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"It seems to have been fixed:\r\n\r\n<img width=\"1534\" alt=\"Capture dβeΜcran 2022-04-12 aΜ 14 10 07\" src=\"https://user-images.githubusercontent.com/1676121/162959599-6b7fef7c-8411-4e03-8f00-90040a658079.png\">\r\n"
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1,167,224,903 | https://api.github.com/repos/huggingface/datasets/issues/3900/labels{/name} | This PR adds the MetaShift dataset.
Dataset Request : Add MetaShift dataset [#3813](https://github.com/huggingface/datasets/issues/3813)
@lhoestq As discussed,
- I have copied the preprocessing script and modified it as required to not create new directories and folders and instead yield the images.
- I do the preprocessing in _split_generators to get the required data which is then passed to _generate_examples.
- Beyond the generated MetaShift dataset, the original preprocess script also generates the meta-graphs for each class, I have currently not included this part. [ Ref : [Link](https://github.com/Weixin-Liang/MetaShift#generate-full-metashift) ]
- There is a Bonus section, the authors share. I have currently not included this part. [ Ref : [Link](https://github.com/Weixin-Liang/MetaShift#bonus-generate-the-metashift-attributes-dataset-subsets-defined-by-subject-attributes) ]
- I had a basic test script which downloaded the dataset and tested the basic functionality. Things seems fine.
For real data, I performed the following test :
```
RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_real_dataset_metashift
============================================== test session starts ===============================================
platform linux -- Python 3.7.11, pytest-7.0.1, pluggy-1.0.0
rootdir: ./datasets
plugins: hydra-core-1.1.1, datadir-1.3.1, forked-1.4.0, xdist-2.5.0
collected 1 item
tests/test_dataset_common.py . [100%]
========================================= 1 passed in 4821.25s (1:20:21) =========================================
```
- I couldn't get the dummy dataset. Need some inputs here.
Error as follows :
```
Using custom data configuration default
Dataset metashift with config None seems to already open files in the method `_split_generators(...)`. You might consider to instead only open files in the method `_generate_examples(...)` instead. If this is not possible the dummy data has to be created with less guidance. Make sure you create the file dummy_data/full-candidate-subsets.pkl.
for split in generator_splits:
UnboundLocalError: local variable 'generator_splits' referenced before assignment
```
To-Do :
- [x] Currently I am using the default _SELECTED_CLASSES. I need to use config option here as suggested
- [x] Complete fields in the Dataset Card.
- [x] Tagging the dataset using the Datasets Tagging app.
Need your help and suggestions for improvement. Thank you
| 2022-04-01T16:59:48Z | 3,900 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-12T08:44:18Z | https://api.github.com/repos/huggingface/datasets/issues/3900/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3900/timeline | Add MetaShift dataset | https://api.github.com/repos/huggingface/datasets/issues/3900/events | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@lhoestq Please could you review this when you get time. Thank you.",
"Thanks a lot for your inputs @mariosasko .\r\n> Maybe we can add the generated meta-graphs to the card as images (with attributions)?\r\n\r\nYes. We can do this... | {
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1,166,931,812 | https://api.github.com/repos/huggingface/datasets/issues/3899/labels{/name} | Adding the exact match metric and its metric card.
Note: Some of the tests have failed, but I wanted to make a PR anyway so that the rest of the code can be reviewed if anyone has time. I'll look into + work on fixing the failed tests when I'm back online after the weekend | 2022-03-21T16:10:03Z | 3,899 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-11T22:21:40Z | https://api.github.com/repos/huggingface/datasets/issues/3899/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3899/timeline | Add exact match metric | https://api.github.com/repos/huggingface/datasets/issues/3899/events | null | {
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1,166,778,250 | https://api.github.com/repos/huggingface/datasets/issues/3898/labels{/name} | Proposing a draft WER metric card, @lhoestq I'm not very certain about "Values from popular papers" -- I don't know ASR very well, what do you think of the examples I found? | 2022-03-15T17:05:00Z | 3,898 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-11T19:29:09Z | https://api.github.com/repos/huggingface/datasets/issues/3898/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3898/timeline | Create README.md for WER metric | https://api.github.com/repos/huggingface/datasets/issues/3898/events | null | {
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1,166,715,104 | https://api.github.com/repos/huggingface/datasets/issues/3897/labels{/name} | This PR:
* aligns the `tqdm` logic with Transformers (follows https://github.com/huggingface/transformers/pull/15167) by moving the code to `utils/logging.py`, adding `enable_progres_bar`/`disable_progres_bar` and removing `set_progress_bar_enabled` (a note for @lhoestq: I'm not adding `logging.tqdm` to the public namespace in this PR to avoid the situation where `from datasets import *; tqdm` would overshadow the standard `tqdm`
* aligns the cache control with the new `tqdm` logic by adding `enable_caching`/`disable_caching` to the public namespace and deprecating `set_caching_enabled` (not fully removing it because it's used more often than `set_progress_bar_enabled` and has a dedicated example in the old docs)
Fix #3586 | 2022-03-14T15:01:10Z | 3,897 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-11T18:12:22Z | https://api.github.com/repos/huggingface/datasets/issues/3897/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3897/timeline | Align tqdm control/cache control with Transformers | https://api.github.com/repos/huggingface/datasets/issues/3897/events | null | {
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1,166,628,270 | https://api.github.com/repos/huggingface/datasets/issues/3896/labels{/name} | ## Dataset viewer issue for '*multi_news*'
**Link:** https://huggingface.co/datasets/multi_news
```
Server error
Status code: 400
Exception: FileNotFoundError
Message: https://drive.google.com/uc?export=download&id=1vRY2wM6rlOZrf9exGTm5pXj5ExlVwJ0C/multi-news-original/train.src
```
Am I the one who added this dataset ? No
| 2022-03-15T12:30:23Z | 3,896 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"reported by @abidlabs ",
"related to https://github.com/huggingface/datasets/pull/3843?",
"`datasets` 1.18.4 fixes the issue when you load the dataset with `load_dataset`.\r\n\r\nWhen loading in streaming mode, the fix is indeed on https://github.com/huggingface/datasets/pull/3843 which will be merged soon :)"... | {
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1,166,619,182 | https://api.github.com/repos/huggingface/datasets/issues/3895/labels{/name} | Some code examples are currently not rendered correctly. I think this is because they are over-indented
cc @mariosasko | 2022-03-11T17:34:30Z | 3,895 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-11T16:29:04Z | https://api.github.com/repos/huggingface/datasets/issues/3895/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3895/timeline | Fix code examples indentation | https://api.github.com/repos/huggingface/datasets/issues/3895/events | null | {
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1,166,611,270 | https://api.github.com/repos/huggingface/datasets/issues/3894/labels{/name} | Related to #3507 : dummy data for datasets created on the Hugging Face Hub are optional.
We can discuss later to make them optional for datasets in this repository as well | 2022-03-11T17:27:56Z | 3,894 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-11T16:21:34Z | https://api.github.com/repos/huggingface/datasets/issues/3894/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3894/timeline | [docs] make dummy data creation optional | https://api.github.com/repos/huggingface/datasets/issues/3894/events | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3894). All of your documentation changes will be reflected on that endpoint.",
"The dev doc build rendering doesn't seem to be updated with my last commit for some reason",
"Merging it anyway since I'd like to share this page... | {
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1,166,551,684 | https://api.github.com/repos/huggingface/datasets/issues/3893/labels{/name} | Since other libraries use `main` as their default branch and it's now the standard default, you have to specify a different name in the doc config if you're using `master` like datasets (`doc-builder` tries to guess it, but in the job, we have weird checkout of merge commits so it doesn't always manage to get it right).
This PR makes sure it will always use master for the dev doc (until you decide to switchto main) | 2022-03-11T15:34:35Z | 3,893 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-11T15:24:27Z | https://api.github.com/repos/huggingface/datasets/issues/3893/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3893/timeline | Add default branch for doc building | https://api.github.com/repos/huggingface/datasets/issues/3893/events | null | {
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1,166,227,003 | https://api.github.com/repos/huggingface/datasets/issues/3892/labels{/name} | Previous PR:
- #3796
introduced a side effect: `datasets-cli test` generates `dataset_infos.json` with `None` checksum values.
See:
- #3805
This PR introduces a way for `datasets-cli test` to force to record infos, even if `verify_infos=False`
Close #3848.
CC: @craffel | 2022-03-15T12:28:24Z | 3,892 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-11T10:04:04Z | https://api.github.com/repos/huggingface/datasets/issues/3892/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3892/timeline | Fix CLI test checksums | https://api.github.com/repos/huggingface/datasets/issues/3892/events | null | {
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"Feel free to merge if it's good for you :)",
"I've added a test @lhoestq. Once all green, I'll merge. ",
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1,165,503,732 | https://api.github.com/repos/huggingface/datasets/issues/3891/labels{/name} | Following https://github.com/huggingface/datasets/runs/5499386744 it seems that race conditions that create issues when updating the doc. I took the same approach as in `transformers` to fix race conditions | 2022-03-10T17:23:00Z | 3,891 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-10T17:17:10Z | https://api.github.com/repos/huggingface/datasets/issues/3891/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3891/timeline | Fix race condition in doc build | https://api.github.com/repos/huggingface/datasets/issues/3891/events | null | {
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1,165,502,838 | https://api.github.com/repos/huggingface/datasets/issues/3890/labels{/name} | Replace the old URLs with the Hub [URLs](https://huggingface.co/datasets/beans/tree/main/data).
Also reported by @stevhliu.
Fix #3889 | 2022-03-15T16:47:30Z | 3,890 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-10T17:16:16Z | https://api.github.com/repos/huggingface/datasets/issues/3890/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3890/timeline | Update beans download urls | https://api.github.com/repos/huggingface/datasets/issues/3890/events | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3890). All of your documentation changes will be reflected on that endpoint.",
"@albertvillanova Thanks for investigating and fixing that issue. I regenerated the `dataset_infos.json` file."
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1,165,456,083 | https://api.github.com/repos/huggingface/datasets/issues/3889/labels{/name} | ## Describe the bug
The beans dataset is unavailable to download.
## Steps to reproduce the bug
```python
from datasets import load_dataset
ds = load_dataset('beans')
```
## Expected results
The dataset would be downloaded with no issue.
## Actual results
```
ConnectionError: Couldn't reach https://storage.googleapis.com/ibeans/train.zip (error 403)
```
[It looks like the billing of this project has been disabled because it is associated with a delinquent account.](https://storage.googleapis.com/ibeans/train.zip )
## Environment info
Google Colab
| 2022-03-15T15:26:47Z | 3,889 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"Hi ! A pull request is open to fix the dataset, we'll release a patch soon with a new release of `datasets` :)"
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1,165,435,529 | https://api.github.com/repos/huggingface/datasets/issues/3888/labels{/name} | Right now, an IterableDataset (e.g. when streaming a dataset) doesn't require to know the list of columns it contains, nor their types: `my_iterable_dataset.features` may be `None`
However it's often interesting to know the column types and types. This helps knowing what's inside your dataset without having to manually check a few examples, and this is useful to prepare a processing pipeline or to train models.
Here are a few cases that lead to `features` being `None`:
1. when loading a dataset with `load_dataset` on CSV, JSON Lines, etc. files: type inference is only done when iterating over the dataset
2. when calling `map`, because we don't know in advance what's the output of the user's function passed to `map`
3. when calling `rename_columns`, `remove_columns`, etc. because they rely on `map`
Things we can consider, for each point above:
1.a infer the type automatically from the first samples on the dataset using prefetching, when the dataset builder doesn't provide the `features`
2.a allow the user to specify the `features` as an argument to `map` (this would be consistent with the non-streaming API)
2.b prefetch the first output value to infer the type
3.a don't rely on `map` directly and reuse the previous `features` and rename/remove the corresponding ones
The thing is that prefetching can take a few seconds, while the operations above are instantaneous since no data are downloaded. Therefore I'm not sure whether this solution may be worth it. Maybe prefetching could also be done when explicitly asked by the user
cc @mariosasko @albertvillanova | 2022-11-29T11:39:24Z | 3,888 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"@alvarobartt I've assigned you the issue since I'm not actively working on it.",
"Cool thanks @mariosasko I'll try to fix it in the upcoming days, thanks!",
"@lhoestq so in order to address whatβs not completed in this issue, do you think it makes sense to add a param `features` to `IterableD... | {
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1,165,380,852 | https://api.github.com/repos/huggingface/datasets/issues/3887/labels{/name} | This PR adds the following improvements to the `imagefolder` dataset:
* skip the extract step for image files (as discussed in https://github.com/huggingface/datasets/pull/2830#discussion_r816817919)
* option to drop labels by setting `drop_labels=True` (useful for image pretraining cc @NielsRogge). This is faster than loading a dataset and removing the `label` column because we don't need to iterate over the files to infer class labels. | 2022-03-11T15:06:11Z | 3,887 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-10T15:34:46Z | https://api.github.com/repos/huggingface/datasets/issues/3887/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3887/timeline | ImageFolder improvements | https://api.github.com/repos/huggingface/datasets/issues/3887/events | null | {
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1,165,223,319 | https://api.github.com/repos/huggingface/datasets/issues/3886/labels{/name} | Ass suggested by @lhoestq in #3872, this PR:
- Implements a retry function
- Retries HfApi call inside `push_to_hub` when 504 error. To be agreed:
- max_retries = 2 (at 0.5 and 1 seconds)
Fix #3872. | 2022-03-16T09:00:56Z | 3,886 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-10T13:24:40Z | https://api.github.com/repos/huggingface/datasets/issues/3886/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3886/timeline | Retry HfApi call inside push_to_hub when 504 error | https://api.github.com/repos/huggingface/datasets/issues/3886/events | null | {
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1,165,102,209 | https://api.github.com/repos/huggingface/datasets/issues/3885/labels{/name} | Following #3842 some docs were still outdated (with `buffer_size` as the first argument) | 2022-03-10T14:16:29Z | 3,885 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-10T11:29:15Z | https://api.github.com/repos/huggingface/datasets/issues/3885/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3885/timeline | Fix some shuffle docs | https://api.github.com/repos/huggingface/datasets/issues/3885/events | null | {
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1,164,924,314 | https://api.github.com/repos/huggingface/datasets/issues/3884/labels{/name} | Fix #3883. | 2022-03-10T09:03:40Z | 3,884 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-10T08:44:20Z | https://api.github.com/repos/huggingface/datasets/issues/3884/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3884/timeline | Fix bug in METEOR metric due to nltk version | https://api.github.com/repos/huggingface/datasets/issues/3884/events | null | {
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1,164,663,229 | https://api.github.com/repos/huggingface/datasets/issues/3883/labels{/name} | ## Describe the bug
Using the metric Meteor with nltk == 3.6.4 gives a TypeError:
TypeError: descriptor 'lower' for 'str' objects doesn't apply to a 'list' object
## Steps to reproduce the bug
```python
import datasets
metric = datasets.load_metric("meteor")
predictions = ["hello world"]
references = ["hello world"]
metric.compute(predictions=predictions, references=references)
```
## Expected results
TypeError: descriptor 'lower' for 'str' objects doesn't apply to a 'list' object
I think this TypeError exists because input sentences are tokenized into lists of tokens and the str.lower() is applied to this list of tokens.
## Actual results
No error but a meteor score
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.18.3
- Platform: linux
- Python version: 3.8.12
- PyArrow version: 7.0.0
| 2022-03-10T09:03:39Z | 3,883 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"Hi @zhaowei-wang98, thanks for reporting.\r\n\r\nWe are fixing it... "
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1,164,595,388 | https://api.github.com/repos/huggingface/datasets/issues/3882/labels{/name} | This PR is a first draft of how to process image data. It adds:
- Load an image dataset with `image` and `path` (adds tip about `decode=False` param to access the path and bytes, thanks to @mariosasko).
- Load an image using the `ImageFolder` builder. I know there is an [example](https://huggingface.co/docs/datasets/master/en/loading#image-folders) of this already, but I also wanted to add it here so users don't miss it. This doc seems important for centralizing all of the image-related things so far. Datasets has grown so quickly π now that I think maybe splitting up the How-to guides by modality may be better since working with vision/audio data is slightly different from what users have seen up until now. This way we can continue to scale the docs to better accommodate vision/audio things.
- Add a data augmentation with `set_transform`. There is only 1 example here so far, but we can certainly add more.
Todo:
- [x] Couldn't figure out why my augmentation function works with `set_transform` but not `map` π₯². Working with @mariosasko on this! | 2022-03-15T15:24:16Z | 3,882 | null | https://api.github.com/repos/huggingface/datasets | false | [
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1,164,452,005 | https://api.github.com/repos/huggingface/datasets/issues/3881/labels{/name} | Ran this code
```
load_dataset("imagefolder", data_dir="./my-dataset")
```
`https://raw.githubusercontent.com/huggingface/datasets/master/datasets/imagefolder/imagefolder.py` missing
```
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
/tmp/ipykernel_33/1648737256.py in <module>
----> 1 load_dataset("imagefolder", data_dir="./my-dataset")
/opt/conda/lib/python3.7/site-packages/datasets/load.py 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, script_version, **config_kwargs)
1684 revision=revision,
1685 use_auth_token=use_auth_token,
-> 1686 **config_kwargs,
1687 )
1688
/opt/conda/lib/python3.7/site-packages/datasets/load.py in load_dataset_builder(path, name, data_dir, data_files, cache_dir, features, download_config, download_mode, revision, use_auth_token, script_version, **config_kwargs)
1511 download_config.use_auth_token = use_auth_token
1512 dataset_module = dataset_module_factory(
-> 1513 path, revision=revision, download_config=download_config, download_mode=download_mode, data_files=data_files
1514 )
1515
/opt/conda/lib/python3.7/site-packages/datasets/load.py in dataset_module_factory(path, revision, download_config, download_mode, force_local_path, dynamic_modules_path, data_files, **download_kwargs)
1200 f"Couldn't find a dataset script at {relative_to_absolute_path(combined_path)} or any data file in the same directory. "
1201 f"Couldn't find '{path}' on the Hugging Face Hub either: {type(e1).__name__}: {e1}"
-> 1202 ) from None
1203 raise e1 from None
1204 else:
FileNotFoundError: Couldn't find a dataset script at /kaggle/working/imagefolder/imagefolder.py or any data file in the same directory. Couldn't find 'imagefolder' on the Hugging Face Hub either: FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/huggingface/datasets/master/datasets/imagefolder/imagefolder.py
``` | 2022-03-11T08:45:52Z | 3,881 | null | https://api.github.com/repos/huggingface/datasets | null | [
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"Even this from docs throw same error\r\n```\r\ndataset = load_dataset(\"imagefolder\", data_files=\"https://download.microsoft.com/download/3/E/1/3E1C3F21-ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_3367a.zip\", split=\"train\")\r\n\r\n```",
"Hi @INF800,\r\n\r\nPlease note that the `imagefolder` feature enhanc... | {
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1,164,406,008 | https://api.github.com/repos/huggingface/datasets/issues/3880/labels{/name} | This PR updates the syntax of the framework-specific code samples. With this new syntax, you'll be able to:
- have paragraphs of text be framework-specific instead of just code samples
- have support for Flax code samples if you want.
This should be merged after https://github.com/huggingface/doc-builder/pull/63 and https://github.com/huggingface/doc-builder/pull/130 | 2022-03-15T14:13:28Z | 3,880 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-09T20:29:10Z | https://api.github.com/repos/huggingface/datasets/issues/3880/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3880/timeline | Change the framework switches to the new syntax | https://api.github.com/repos/huggingface/datasets/issues/3880/events | null | {
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1,164,311,612 | https://api.github.com/repos/huggingface/datasets/issues/3879/labels{/name} | Proposing SQuAD v2 metric card | 2022-03-10T16:48:59Z | 3,879 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-09T18:47:56Z | https://api.github.com/repos/huggingface/datasets/issues/3879/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3879/timeline | SQuAD v2 metric: create README.md | https://api.github.com/repos/huggingface/datasets/issues/3879/events | null | {
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1,164,305,335 | https://api.github.com/repos/huggingface/datasets/issues/3878/labels{/name} | It seems like 12 new examples have been added to the `cats_vs_dogs`. This PR updates the size in the card and the info file to avoid a verification error (reported by @stevhliu). | 2022-09-30T08:47:43Z | 3,878 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-09T18:40:56Z | https://api.github.com/repos/huggingface/datasets/issues/3878/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3878/timeline | Update cats_vs_dogs size | https://api.github.com/repos/huggingface/datasets/issues/3878/events | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3878). All of your documentation changes will be reflected on that endpoint.",
"Maybe `NonMatchingSplitsSizesError` errors should also tell the user to try using a more recent version of the dataset to get the fixes ?",
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1,164,146,311 | https://api.github.com/repos/huggingface/datasets/issues/3877/labels{/name} | **Is your feature request related to a problem? Please describe.**
Align to DCAT metadata to describe datasets
**Describe the solution you'd like**
Reuse terms and structure from DCAT in the metadata file, ideally generate a json-ld file dcat compliant
**Describe alternatives you've considered**
**Additional context**
DCAT is a W3C standard extended in Europe with DCAT-AP, an example is data.europa.eu publishing datasets metadata in DCAT-AP
| 2022-03-09T16:33:42Z | 3,877 | null | https://api.github.com/repos/huggingface/datasets | null | [
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1,164,045,075 | https://api.github.com/repos/huggingface/datasets/issues/3876/labels{/name} | Fix `download_mode` value set in `dataset_module_factory`.
Before the fix, it was set to `bool` (default to `False`).
Also set properly its default value in all public functions. | 2022-03-10T08:47:00Z | 3,876 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-09T14:54:33Z | https://api.github.com/repos/huggingface/datasets/issues/3876/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3876/timeline | Fix download_mode in dataset_module_factory | https://api.github.com/repos/huggingface/datasets/issues/3876/events | null | {
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1,164,029,673 | https://api.github.com/repos/huggingface/datasets/issues/3875/labels{/name} | This is an attempt to make the user-facing `datasets`' submodule namespace cleaner:
In particular, this PR does the following:
* removes the unused `zip_nested` and `flatten_nest_dict` and their accompanying tests
* removes `pyarrow` from the top-level namespace
* properly uses `__all__` and the `from <module> import *` syntax to avoid importing the `<module>`'s submodules
* cleans up the `utils` namespace
* moves the `temp_seed` context manage from `datasets/utils/file_utils.py` to `datasets/utils/py_utils.py` | 2022-03-11T15:42:06Z | 3,875 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-09T14:43:07Z | https://api.github.com/repos/huggingface/datasets/issues/3875/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3875/timeline | Module namespace cleanup for v2.0 | https://api.github.com/repos/huggingface/datasets/issues/3875/events | null | {
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"will it solve https://github.com/huggingface/datasets-preview-backend/blob/4c542a74244045929615640ccbba5a902c344c5a/pyproject.toml#L85-L89?",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3875). All of your documentation changes will be reflected on that endpoint.",
"@s... | {
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1,164,013,511 | https://api.github.com/repos/huggingface/datasets/issues/3874/labels{/name} | Created a new pull request to resolve unrelated changes in PR caused due to rebasing.
Ref Older PR : [#3845](https://github.com/huggingface/datasets/pull/3845)
Feature request here : Add support for continuous metrics (RMSE, MAE) [#3608](https://github.com/huggingface/datasets/issues/3608) | 2022-03-09T17:20:42Z | 3,874 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-09T14:30:16Z | https://api.github.com/repos/huggingface/datasets/issues/3874/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3874/timeline | add MSE and MAE metrics - V2 | https://api.github.com/repos/huggingface/datasets/issues/3874/events | null | {
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} | PR_kwDODunzps40LRYD | [
"@mariosasko New PR here. I'm not sure how to add you as a co-author here. Also I see flake8 tests are failing, any inputs on how to resolve this ?\r\nAlso, let me know if any other changes are required. Thank you.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3874). Al... | {
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1,163,961,578 | https://api.github.com/repos/huggingface/datasets/issues/3873/labels{/name} | Proposal for a metrics card structure (with an example based on the SQuAD metric).
@thomwolf @lhoestq @douwekiela @lewtun -- feel free to comment on structure or content (it's an initial draft, so I realize there's stuff missing!). | 2022-03-10T16:45:57Z | 3,873 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-09T13:47:08Z | https://api.github.com/repos/huggingface/datasets/issues/3873/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3873/timeline | Create SQuAD metric README.md | https://api.github.com/repos/huggingface/datasets/issues/3873/events | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3873). All of your documentation changes will be reflected on that endpoint.",
"Oh one last thing I almost forgot, I think I would add a section \"Examples\" with examples of inputs and outputs and in particular: an example giv... | {
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1,163,853,026 | https://api.github.com/repos/huggingface/datasets/issues/3872/labels{/name} | I am trying to push a large dataset(450000+) records with the help of `push_to_hub()`
While pushing, it gives some error like this.
```
Traceback (most recent call last):
File "data_split_speech.py", line 159, in <module>
data_new_2.push_to_hub("user-name/dataset-name",private=True)
File "/opt/conda/lib/python3.8/site-packages/datasets/dataset_dict.py", line 951, in push_to_hub
repo_id, split, uploaded_size, dataset_nbytes = self[split]._push_parquet_shards_to_hub(
File "/opt/conda/lib/python3.8/site-packages/datasets/arrow_dataset.py", line 3556, in _push_parquet_shards_to_hub
api.upload_file(
File "/opt/conda/lib/python3.8/site-packages/huggingface_hub/hf_api.py", line 1017, in upload_file
raise err
File "/opt/conda/lib/python3.8/site-packages/huggingface_hub/hf_api.py", line 1008, in upload_file
r.raise_for_status()
File "/opt/conda/lib/python3.8/site-packages/requests/models.py", line 953, in raise_for_status
raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 504 Server Error: Gateway Time-out for url: https://huggingface.co/api/datasets/user-name/dataset-name/upload/main/data/train2-00041-of-00064.parquet
```
Can anyone help me to resolve this issue.
| 2022-03-15T16:19:50Z | 3,872 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2022-03-09T12:03:37Z | https://api.github.com/repos/huggingface/datasets/issues/3872/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3872/timeline | HTTP error 504 Server Error: Gateway Time-out | https://api.github.com/repos/huggingface/datasets/issues/3872/events | null | {
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"is pushing directly with git (and git-lfs) an option for you?",
"I have installed git-lfs and doing this push with that\r\n",
"yes but is there any way you could try pushing with `git` command line directly instead of `push_to_hub`?",
"Okay. I didnt saved the dataset to my local machine. So, I processed the ... | {
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1,163,714,113 | https://api.github.com/repos/huggingface/datasets/issues/3871/labels{/name} | Pandas is a required packages and used quite a bit. I don't see any downside with adding its version to the `datasets-cli env` command. | 2022-03-09T11:21:38Z | 3,871 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-09T09:48:51Z | https://api.github.com/repos/huggingface/datasets/issues/3871/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3871/timeline | add pandas to env command | https://api.github.com/repos/huggingface/datasets/issues/3871/events | null | {
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"@lhoestq Would you mind reviewing it when you're available? Thanks!\r\n",
"> Awesome thanks for adding this dataset ! :) The dataset script and dataset cards look pretty good\r\n> \r\n> It looks like your `dummy_data.zip` files are quite big though (>1MB each), do you think we can reduce their sizes ? This way t... | {
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1,163,434,800 | https://api.github.com/repos/huggingface/datasets/issues/3869/labels{/name} | Let's make Hugging Face Datasets the central hub for datasets in Portuguese :)
**Motivation**. Datasets are currently quite scattered and an open-source central point such as the Hugging Face Hub would be ideal to support the growth of the Portuguese speaking community.
What are some datasets in Portuguese worth integrating into the Hugging Face hub?
Special thanks to @augusnunes for his collaboration on identifying the first ones:
- [NILC - USP](http://www.nilc.icmc.usp.br/nilc/index.php/tools-and-resources).
Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).
cc @osanseviero
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"~~@julien-c there was a vote π https://huggingface.slack.com/archives/C021H1P1HKR/p1646405136644739~~\r\n\r\noh I see you already commeented in the thread as well",
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1,162,753,733 | https://api.github.com/repos/huggingface/datasets/issues/3862/labels{/name} | I added:
- add_column
- cast
- rename_column
- rename_columns
related to https://github.com/huggingface/datasets/issues/3444
TODO:
- [x] docs
- [x] tests | 2022-03-10T16:40:22Z | 3,862 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2022-03-08T14:53:57Z | https://api.github.com/repos/huggingface/datasets/issues/3862/comments | null | https://api.github.com/repos/huggingface/datasets/issues/3862/timeline | Manipulate columns on IterableDataset (rename columns, cast, etc.) | https://api.github.com/repos/huggingface/datasets/issues/3862/events | null | {
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"> IIUC we check if columns are present/not present directly in the yielded examples and not in info.features because info.features can be None (aft... | {
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