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https://github.com/huggingface/datasets/pull/2197 | 2,197 | fix missing indices_files in load_form_disk | {
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`load_from_disk` was failing if there was no "_indices_files" field in state.json. This can happen if the dataset has no indices mapping | {
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https://github.com/huggingface/datasets/issues/2196 | 2,196 | `load_dataset` caches two arrow files? | {
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"Hi ! Files that starts with `cache-*` are cached computation files, i.e. they are the cached results of map/filter/cast/etc. operations. For example if you used `map` on your dataset to transform it, then the resulting dataset is going to be stored and cached in a `cache-*` file. These files are used to avoid havi... | 2021-04-09T03:49:19Z | 2021-04-12T05:25:29Z | 2021-04-12T05:25:29Z | NONE | null | null | Hi,
I am using datasets to load large json file of 587G.
I checked the cached folder and found that there are two arrow files created:
* `cache-ed205e500a7dc44c.arrow` - 355G
* `json-train.arrow` - 582G
Why is the first file created?
If I delete it, would I still be able to `load_from_disk`? | {
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https://github.com/huggingface/datasets/issues/2195 | 2,195 | KeyError: '_indices_files' in `arrow_dataset.py` | {
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"Thanks for reporting @samsontmr.\r\n\r\nIt seems a backward compatibility issue...",
"Thanks @samsontmr this should be fixed on master now\r\n\r\nFeel free to reopen if you're still having issues"
] | 2021-04-09T01:37:12Z | 2021-04-09T09:55:09Z | 2021-04-09T09:54:39Z | NONE | null | null | After pulling the latest master, I'm getting a crash when `load_from_disk` tries to load my local dataset.
Trace:
```
Traceback (most recent call last):
File "load_data.py", line 11, in <module>
dataset = load_from_disk(SRC)
File "/opt/conda/envs/py38/lib/python3.8/site-packages/datasets/load.py", line ... | {
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https://github.com/huggingface/datasets/issues/2194 | 2,194 | py3.7: TypeError: can't pickle _LazyModule objects | {
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"\r\nThis wasn't a `datasets` problem, but `transformers`' and it was solved here https://github.com/huggingface/transformers/pull/11168\r\n"
] | 2021-04-08T21:02:48Z | 2021-04-09T16:56:50Z | 2021-04-09T01:52:57Z | CONTRIBUTOR | null | null | While this works fine with py3.8, under py3.7, with a totally new conda env and transformers install:
```
git clone https://github.com/huggingface/transformers
cd transformers
pip install -e .[testing]
export BS=1; rm -rf /tmp/test-clm; PYTHONPATH=src USE_TF=0 CUDA_VISIBLE_DEVICES=0 python \
examples/language... | {
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https://github.com/huggingface/datasets/issues/2193 | 2,193 | Filtering/mapping on one column is very slow | {
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"Hi ! Yes we are working on making `filter` significantly faster. You can look at related PRs here: #2060 #2178 \r\n\r\nI think you can expect to have the fast version of `filter` available next week.\r\n\r\nWe'll make it only select one column, and we'll also make the overall filtering operation way faster by avoi... | 2021-04-08T18:16:14Z | 2021-04-26T16:13:59Z | 2021-04-26T16:13:59Z | CONTRIBUTOR | null | null | I'm currently using the `wikipedia` dataset— I'm tokenizing the articles with the `tokenizers` library using `map()` and also adding a new `num_tokens` column to the dataset as part of that map operation.
I want to be able to _filter_ the dataset based on this `num_tokens` column, but even when I specify `input_colu... | {
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https://github.com/huggingface/datasets/pull/2192 | 2,192 | Fix typo in huggingface hub | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | pip knows how to resolve to `huggingface_hub`, but conda doesn't!
The `packaging` dependency is also required for the build to complete. | {
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https://github.com/huggingface/datasets/pull/2191 | 2,191 | Refactorize tests to use Dataset as context manager | {
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"I find very interesting that idea of using a fixture instead!\r\n\r\nLet me rework a little bit this PR, @lhoestq.",
"@lhoestq, as this is a big refactoring, I had many problems to solve the conflicts with the master branch...\r\n\r\nTherefore, I think it is better to merge this as it is, and then to make other ... | 2021-04-08T11:21:04Z | 2021-04-19T07:53:11Z | 2021-04-19T07:53:10Z | MEMBER | false | {
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https://github.com/huggingface/datasets/issues/2190 | 2,190 | News_commentary Dataset Translation Pairs are of Incorrect Language Specified Pairs | {
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"Hi @anassalamah,\r\n\r\nCould you please try with this:\r\n```python\r\ntrain_ds = load_dataset(\"news_commentary\", lang1=\"ar\", lang2=\"en\", split='train[:98%]')\r\nval_ds = load_dataset(\"news_commentary\", lang1=\"ar\", lang2=\"en\", split='train[98%:]')\r\n```",
"Hello @albertvillanova, \r\n\r\nThanks for... | 2021-04-08T07:53:43Z | 2021-05-24T10:03:55Z | 2021-05-24T10:03:55Z | NONE | null | null | I used load_dataset to load the news_commentary dataset for "ar-en" translation pairs but found translations from Arabic to Hindi.
```
train_ds = load_dataset("news_commentary", "ar-en", split='train[:98%]')
val_ds = load_dataset("news_commentary", "ar-en", split='train[98%:]')
# filtering out examples that a... | {
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https://github.com/huggingface/datasets/issues/2189 | 2,189 | save_to_disk doesn't work when we use concatenate_datasets function before creating the final dataset_object. | {
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"Hi ! We refactored save_to_disk in #2025 so this doesn't happen.\r\nFeel free to try it on master for now\r\nWe'll do a new release soon"
] | 2021-04-08T04:42:53Z | 2022-06-01T16:32:15Z | 2022-06-01T16:32:15Z | NONE | null | null | As you can see, it saves the entire dataset.
@lhoestq
You can check by going through the following example,
```
from datasets import load_from_disk,concatenate_datasets
loaded_data=load_from_disk('/home/gsir059/HNSW-ori/my_knowledge_dataset')
n=20
kb_list=[loaded_data.shard(n, i, contiguous=True) for i... | {
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https://github.com/huggingface/datasets/issues/2188 | 2,188 | Duplicate data in Timit dataset | {
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"Hi ! Thanks for reporting\r\nIf I recall correctly this has been recently fixed #1995\r\nCan you try to upgrade your local version of `datasets` ?\r\n```\r\npip install --upgrade datasets\r\n```",
"Hi Ihoestq,\r\n\r\nThank you. It works after upgrading the datasets\r\n"
] | 2021-04-08T04:21:54Z | 2021-04-08T12:13:19Z | 2021-04-08T12:13:19Z | NONE | null | null | I ran a simple code to list all texts in Timit dataset and the texts were all the same.
Is this dataset corrupted?
**Code:**
timit = load_dataset("timit_asr")
print(*timit['train']['text'], sep='\n')
**Result:**
Would such an act of refusal be useful?
Would such an act of refusal be useful?
Would such an act of... | {
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https://github.com/huggingface/datasets/issues/2187 | 2,187 | Question (potential issue?) related to datasets caching | {
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"An educated guess: does this refer to the fact that depending on the custom column names in the dataset files (csv in this case), there is a dataset loader being created? and this dataset loader - using the \"custom data configuration\" is used among all jobs running using this particular csv files? (thinking out ... | 2021-04-08T00:16:28Z | 2023-01-03T18:30:38Z | null | NONE | null | null | I thought I had disabled datasets caching in my code, as follows:
```
from datasets import set_caching_enabled
...
def main():
# disable caching in datasets
set_caching_enabled(False)
```
However, in my log files I see messages like the following:
```
04/07/2021 18:34:42 - WARNING - datasets.build... | null | {
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https://github.com/huggingface/datasets/pull/2186 | 2,186 | GEM: new challenge sets | {
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"cc @sebastiangehrmann"
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- remove extraneous fields in WikiAuto after https://github.com/huggingface/datasets/pull/2171 fixed the source
- add context and services to Schema Guided Dialog
- Add new or update challenge sets for MLSUM ES and DE, XSUM, and SGD | {
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https://github.com/huggingface/datasets/issues/2185 | 2,185 | .map() and distributed training | {
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"Hi, one workaround would be to save the mapped(tokenized in your case) file using `save_to_disk`, and having each process load this file using `load_from_disk`. This is what I am doing, and in this case, I turn off the ability to automatically load from the cache.\r\n\r\nAlso, multiprocessing the map function seem... | 2021-04-07T18:22:14Z | 2021-10-23T07:11:15Z | 2021-04-09T15:38:31Z | CONTRIBUTOR | null | null | Hi,
I have a question regarding distributed training and the `.map` call on a dataset.
I have a local dataset "my_custom_dataset" that I am loading with `datasets = load_from_disk(dataset_path=my_path)`.
`dataset` is then tokenized:
```python
datasets = load_from_disk(dataset_path=my_path)
[...]
def tokeni... | {
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https://github.com/huggingface/datasets/pull/2184 | 2,184 | Implementation of class_encode_column | {
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"Made the required changes @lhoestq , sorry it took so much time!"
] | 2021-04-07T16:47:43Z | 2021-04-16T11:44:37Z | 2021-04-16T11:26:59Z | CONTRIBUTOR | false | {
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I'm happy to discuss the API and internals! | {
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https://github.com/huggingface/datasets/pull/2183 | 2,183 | Fix s3fs tests for py36 and py37+ | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Recently several changes happened:
1. latest versions of `fsspec` require python>3.7 for async features
2. `s3fs` added a dependency on `aiobotocore`, which is not compatible with the `moto` s3 mock context manager
This PR fixes both issues, by pinning `fsspec` and `s3fs` for python 3.6, and by using `moto` in ser... | {
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https://github.com/huggingface/datasets/pull/2182 | 2,182 | Set default in-memory value depending on the dataset size | {
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"I ping @krandiash to keep him up to date.",
"TODO:\r\n- [x] Add a section in the docs about this.\r\n- ~Add a warning if someone tries to specify `cache_file_name=` in `map`, `filter` etc. on a dataset that is in memory, since the computation is not going to be cached in this case.~",
"@lhoestq I have a questi... | 2021-04-07T13:00:18Z | 2021-04-20T14:20:12Z | 2021-04-20T10:04:04Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Set a default value for `in_memory` depending on the size of the dataset to be loaded.
Close #2179.
TODO:
- [x] Add a section in the docs about this.
- ~Add a warning if someone tries to specify `cache_file_name=` in `map`, `filter` etc. on a dataset that is in memory, since the computation is not going to be c... | {
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https://github.com/huggingface/datasets/issues/2181 | 2,181 | Error when loading a HUGE json file (pyarrow.lib.ArrowInvalid: straddling object straddles two block boundaries) | {
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"Hi ! Can you try to increase the block size ? For example\r\n```python\r\nblock_size_10MB = 10<<20\r\nload_dataset(\"json\", ..., block_size=block_size_10MB)\r\n```\r\nThe block size corresponds to how much bytes to process at a time from the input stream.\r\nThis will determine multi-threading granularity as well... | 2021-04-07T10:26:46Z | 2021-04-12T07:15:55Z | 2021-04-12T07:15:55Z | NONE | null | null | Hi, thanks for the great library. I have used the brilliant library for a couple of small projects, and now using it for a fairly big project.
When loading a huge json file of 500GB, pyarrow complains as follows:
```
Traceback (most recent call last):
File "/home/user/.pyenv/versions/3.7.9/lib/python3.7/site-pack... | {
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https://github.com/huggingface/datasets/pull/2180 | 2,180 | Add tel to xtreme tatoeba | {
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https://github.com/huggingface/datasets/issues/2179 | 2,179 | Load small datasets in-memory instead of using memory map | {
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However this might not be necessary for small datasets. If a dataset is small enough, then it can be loaded in-memory and:
- its memory footprint would be small so it's ok
- in-memory computations/queries would be faster
- the cach... | {
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https://github.com/huggingface/datasets/pull/2178 | 2,178 | Fix cast memory usage by using map on subtables | {
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"I addressed your comments about the docstrings and the output validation :)",
"I updated the bleurt mocking method and bleurt test is passing now.\r\nI also ran the slow tests and they are passing for bleurt.",
"Thanks @lhoestq and @albertvillanova !"
] | 2021-04-07T09:30:50Z | 2021-04-20T14:20:44Z | 2021-04-13T09:28:16Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | The `cast` operation on a pyarrow Table may create new arrays in memory.
This is an issue since users expect memory mapped datasets to not fill up the RAM.
To fix that I used `map` to write a new arrow file on disk when cast is used.
To make things more convenient I introduced the `arrow` formatting of a dataset, ... | {
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https://github.com/huggingface/datasets/pull/2177 | 2,177 | add social thumbnial | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | # What does this PR do?
I added OpenGraph/ Twitter Card support to the docs to create nice social thumbnails.
To be able to add these I needed to install `sphinxext-op... | {
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https://github.com/huggingface/datasets/issues/2176 | 2,176 | Converting a Value to a ClassLabel | {
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"Hi @nelson-liu!\r\nHere is what I do to convert a string to class label:\r\n\r\n```python\r\nfrom datasets import load_dataset, features\r\n\r\n\r\ndset = load_dataset(...)\r\ncol_name = \"the string column name\"\r\n\r\nclass_names = dset.unique(col_name)\r\nclass_feature = features.ClassLabel(names=sorted(class... | 2021-04-06T22:54:16Z | 2022-06-01T16:31:49Z | 2022-06-01T16:31:49Z | NONE | null | null | Hi!
In the docs for `cast`, it's noted that `For non-trivial conversion, e.g. string <-> ClassLabel you should use map() to update the Dataset.`
Would it be possible to have an example that demonstrates such a string <-> ClassLabel conversion using `map`? Thanks! | {
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https://github.com/huggingface/datasets/issues/2175 | 2,175 | dataset.search_batch() function outputs all -1 indices sometime. | {
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"Actually, I found the answer [here](https://github.com/facebookresearch/faiss/wiki/FAQ#what-does-it-mean-when-a-search-returns--1-ids). \r\n\r\nSo we have to do some modifications to the code for instances where the index doesn't retrieve any IDs.",
"@lhoestq @patrickvonplaten \r\n\r\nI also found another short... | 2021-04-06T21:50:49Z | 2021-04-16T12:21:16Z | 2021-04-16T12:21:15Z | NONE | null | null | I am working with RAG and playing around with different faiss indexes. At the moment I use **index = faiss.index_factory(768, "IVF65536_HNSW32,Flat")**.
During the retrieval phase exactly in [this line of retrieval_rag.py](https://github.com/huggingface/transformers/blob/master/src/transformers/models/rag/retrieval_... | {
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https://github.com/huggingface/datasets/pull/2174 | 2,174 | Pin docutils for better doc | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | The latest release of docutils make the navbar in the documentation weird and the Markdown wrongly interpreted:
We had the same problem in Transformers and solved it by pinning docutils (a dep of sphinx... | {
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https://github.com/huggingface/datasets/pull/2173 | 2,173 | Add OpenSLR dataset | {
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https://github.com/huggingface/datasets/pull/2172 | 2,172 | Pin fsspec lower than 0.9.0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Today's release of `fsspec` 0.9.0 implied a new release of `s3fs` 0.6.0 but this version breaks the CI (see [here](https://app.circleci.com/pipelines/github/huggingface/datasets/5312/workflows/490f3240-cd1c-4dd1-bb60-b416771c5584/jobs/32734) for example)
I'm pinning `fsspec` until this has been resolved | {
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https://github.com/huggingface/datasets/pull/2171 | 2,171 | Fixed the link to wikiauto training data. | {
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"Also you can ignore the CI failing on `docs`, this has been fixed on master :)",
"@lhoestq I need to update other stuff on GEM later today too, so will merge this one and remove columns in the next PR!",
"Ok !"
] | 2021-04-06T07:13:11Z | 2021-04-06T16:05:42Z | 2021-04-06T16:05:09Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/issues/2170 | 2,170 | Wikipedia historic dumps are deleted but hf/datasets hardcodes dump date | {
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"It seems that this can be fixed from user's end by including a `date` argument, like this:\r\n\r\n`dataset = datasets.load_dataset('wikipedia', '20200501.en', date='20210420')`\r\n\r\nYou can get available dates from [here](https://dumps.wikimedia.org/enwiki/).\r\n\r\nThis is not a proper fix however as all the fi... | 2021-04-06T03:13:18Z | 2021-06-16T01:10:50Z | null | NONE | null | null | Wikimedia does not keep all historical dumps. For example, as of today https://dumps.wikimedia.org/kowiki/ only provides
```
20201220/ 02-Feb-2021 01:36 -
20210101/ 21-Feb-2021 01:26 -
20210120/ ... | null | {
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https://github.com/huggingface/datasets/pull/2169 | 2,169 | Updated WER metric implementation to avoid memory issues | {
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"Hi ! Thanks for suggesting this fix \r\nUnfortunately it looks like it's already been fixed by #2111 \r\n\r\nFeel free to share your thoughts about this PR !\r\n\r\nI'm closing this one if you don't mind."
] | 2021-04-05T15:43:20Z | 2021-04-06T15:02:58Z | 2021-04-06T15:02:58Z | NONE | false | {
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https://github.com/huggingface/datasets/issues/2078
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https://github.com/huggingface/datasets/pull/2168 | 2,168 | Preserve split type when realoding dataset | {
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"Thanks for diving into this !\r\n\r\nBefore going further, I just want to make sure if using `eval` is the right solution\r\nPersonally I'm not a big fan of `eval` since it has many security concerns. Also storing string representations of python objects in the json files is not ideal either IMO, so maybe it's pos... | 2021-04-04T20:46:21Z | 2021-04-19T10:57:05Z | 2021-04-19T09:08:55Z | COLLABORATOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fixes #2167
Using `eval` is not ideal for security reasons (in web apps I assume), but without it the code would be much more complex IMO.
In terms of style, instead of explicitly importing a private member (`_RelativeInstruction`), we can add these imports at the top of the module:
```python
from . import arr... | {
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https://github.com/huggingface/datasets/issues/2167 | 2,167 | Split type not preserved when reloading the dataset | {
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```python
>>> from datasets import load_dataset, Dataset
>>> dset = load_dataset("sst", split="train")
>>> dset.save_to_disk("sst")
>>> type(dset.split)
<class 'datasets.splits.NamedSplit'>
>>> dset = Dataset.load_from_disk("sst")
>>> type(dset.split) # NamedSplit expected
<cla... | {
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https://github.com/huggingface/datasets/issues/2166 | 2,166 | Regarding Test Sets for the GEM datasets | {
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"Hi @vyraun ! The test references for CommonGen are not publicly available: you can reach out to the original dataset authors if you would like to ask for them, but we will not be releasing them as part of GEM (March 31st was the release date for the test set inputs, references are incidentally released for some of... | 2021-04-04T02:02:45Z | 2021-04-06T08:13:12Z | 2021-04-06T08:13:12Z | NONE | null | null | @yjernite Hi, are the test sets for the GEM datasets scheduled to be [added soon](https://gem-benchmark.com/shared_task)?
e.g.
```
from datasets import load_dataset
DATASET_NAME="common_gen"
data = load_dataset("gem", DATASET_NAME)
```
The test set doesn't have the target or references.
```
data['test... | {
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https://github.com/huggingface/datasets/issues/2165 | 2,165 | How to convert datasets.arrow_dataset.Dataset to torch.utils.data.Dataset | {
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"Hi,\r\n\r\na HF dataset can be converted to a Torch Dataset with a simple wrapper as follows:\r\n```python\r\nfrom torch.utils.data import Dataset\r\n \r\nclass HFDataset(Dataset):\r\n def __init__(self, dset):\r\n self.dset = dset\r\n\r\n def __getitem__(self, idx):\r\n return self.dset[idx]\r... | 2021-04-04T01:01:48Z | 2021-08-24T15:55:35Z | 2021-04-07T15:06:04Z | NONE | null | null | Hi,
I'm trying to pretraine deep-speed model using HF arxiv dataset like:
```
train_ds = nlp.load_dataset('scientific_papers', 'arxiv')
train_ds.set_format(
type="torch",
columns=["input_ids", "attention_mask", "global_attention_mask", "labels"],
)
engine, _, _, _ = deepspeed.initialize(
... | {
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https://github.com/huggingface/datasets/pull/2164 | 2,164 | Replace assertTrue(isinstance with assertIsInstance in tests | {
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https://github.com/huggingface/datasets/pull/2163 | 2,163 | Concat only unique fields in DatasetInfo.from_merge | {
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"Hi @mariosasko,\r\nJust came across this PR and I was wondering if we can use\r\n`description = \"\\n\\n\".join(OrderedDict.fromkeys([info.description for info in dataset_infos]))`\r\n\r\nThis will obviate the need for `unique` and is almost as fast as `set`. We could have used `dict` inplace of `OrderedDict` but ... | 2021-04-03T14:31:30Z | 2021-04-06T14:40:00Z | 2021-04-06T14:39:59Z | COLLABORATOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | I thought someone from the community with less experience would be interested in fixing this issue, but that wasn't the case.
Fixes #2103 | {
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https://github.com/huggingface/datasets/issues/2162 | 2,162 | visualization for cc100 is broken | {
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"This looks like an issue with the cc100 dataset itself but not sure\r\nDid you try loading cc100 on your machine ?",
"Hi\nloading works fine, but the viewer only is broken\nthanks\n\nOn Wed, Apr 7, 2021 at 12:17 PM Quentin Lhoest ***@***.***>\nwrote:\n\n> This looks like an issue with the cc100 dataset itself bu... | 2021-04-02T10:11:13Z | 2022-10-05T13:20:24Z | 2022-10-05T13:20:24Z | NONE | null | null | Hi
visualization through dataset viewer for cc100 is broken
https://huggingface.co/datasets/viewer/
thanks a lot
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https://github.com/huggingface/datasets/issues/2161 | 2,161 | any possibility to download part of large datasets only? | {
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"Not yet but it’s on the short/mid-term roadmap (requested by many indeed).",
"oh, great, really awesome feature to have, thank you very much for the great, fabulous work",
"We'll work on dataset streaming soon. This should allow you to only load the examples you need ;)",
"thanks a lot Quentin, this would be... | 2021-04-02T10:06:46Z | 2022-10-05T13:26:51Z | 2022-10-05T13:26:51Z | NONE | null | null | Hi
Some of the datasets I need like cc100 are very large, and then I wonder if I can download first X samples of the shuffled/unshuffled data without going through first downloading the whole data then sampling? thanks | {
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https://github.com/huggingface/datasets/issues/2160 | 2,160 | data_args.preprocessing_num_workers almost freezes | {
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"Hi.\r\nI cannot always reproduce this issue, and on later runs I did not see it so far. Sometimes also I set 8 processes but I see less being showed, is this normal, here only 5 are shown for 8 being set, thanks\r\n\r\n```\r\n#3: 11%|███████████████▊ ... | 2021-04-02T07:56:13Z | 2021-04-02T10:14:32Z | 2021-04-02T10:14:31Z | NONE | null | null | Hi @lhoestq
I am running this code from huggingface transformers https://github.com/huggingface/transformers/blob/master/examples/language-modeling/run_mlm.py
to speed up tokenization, since I am running on multiple datasets, I am using data_args.preprocessing_num_workers = 4 with opus100 corpus but this moves ... | {
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https://github.com/huggingface/datasets/issues/2159 | 2,159 | adding ccnet dataset | {
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"closing since I think this is cc100, just the name has been changed. thanks "
] | 2021-04-01T23:28:36Z | 2021-04-02T10:05:19Z | 2021-04-02T10:05:19Z | NONE | null | null | ## Adding a Dataset
- **Name:** ccnet
- **Description:**
Common Crawl
- **Paper:**
https://arxiv.org/abs/1911.00359
- **Data:**
https://github.com/facebookresearch/cc_net
- **Motivation:**
this is one of the most comprehensive clean monolingual datasets across a variety of languages. Quite importan... | {
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https://github.com/huggingface/datasets/issues/2158 | 2,158 | viewer "fake_news_english" error | {
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"Thanks for reporting !\r\nThe viewer doesn't have all the dependencies of the datasets. We may add openpyxl to be able to show this dataset properly",
"This viewer tool is deprecated now and the new viewer at https://huggingface.co/datasets/fake_news_english works fine, so I'm closing this issue"
] | 2021-04-01T14:13:20Z | 2022-10-05T13:22:02Z | 2022-10-05T13:22:02Z | NONE | null | null | When I visit the [Huggingface - viewer](https://huggingface.co/datasets/viewer/) web site, under the dataset "fake_news_english" I've got this error:
> ImportError: To be able to use this dataset, you need to install the following dependencies['openpyxl'] using 'pip install # noqa: requires this pandas optional depe... | {
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https://github.com/huggingface/datasets/pull/2157 | 2,157 | updated user permissions based on umask | {
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https://github.com/huggingface/datasets/pull/2156 | 2,156 | User permissions | {
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https://github.com/huggingface/datasets/pull/2155 | 2,155 | Add table classes to the documentation | {
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"Just note that docstrings injected from PyArrow do not follow the same convention for formatting types in `Args` or `Returns` as we do... Not a big problem, anyway! 😄 "
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Following #2025 , I added the table classes to the documentation
cc @albertvillanova | {
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https://github.com/huggingface/datasets/pull/2154 | 2,154 | Adding the NorNE dataset for Norwegian POS and NER | {
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"Awesome!"
] | 2021-03-31T14:22:50Z | 2021-04-01T09:27:00Z | 2021-04-01T09:16:08Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/issues/2153 | 2,153 | load_dataset ignoring features | {
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"Hi ! Thanks for reporting. I opened a PR to fix this issue: #2201",
"Nice question which helped me a lot! I have wasted a lot of time to the `DatasetDict` creation from a csv file. Hope the document of this module add some simple examples.",
"Hi :) We're indeed working on tutorials that we will add to the docs... | 2021-03-31T08:30:09Z | 2022-10-05T13:29:12Z | 2022-10-05T13:29:12Z | NONE | null | null | First of all, I'm sorry if it is a repeated issue or the changes are already in master, I searched and I didn't find anything.
I'm using datasets 1.5.0
As you can see, when I load the dataset, the C... | {
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https://github.com/huggingface/datasets/pull/2152 | 2,152 | Update README.md | {
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https://github.com/huggingface/datasets/pull/2151 | 2,151 | Add support for axis in concatenate datasets | {
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"@lhoestq I am going to implement the consolidation step you mentioned in #1870.",
"@lhoestq I was thinking that the order of the TableBlocks is not relevant, isn't it?\r\n\r\nI mean, in order to consolidate _consecutive_ in-memory table blocks, in this case:\r\n```\r\nblocks = [in_memory_1, memory_mapped, in_mem... | 2021-03-30T16:58:44Z | 2021-06-23T17:41:02Z | 2021-04-19T16:07:18Z | MEMBER | false | {
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Close #853. | {
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https://github.com/huggingface/datasets/pull/2150 | 2,150 | Allow pickling of big in-memory tables | {
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Pickling is limited to <4GiB objects, it's not possible to pickle a big arrow table (for multiprocessing for example).
For big tables, we have to write them on disk and only pickle the path to the table. | {
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https://github.com/huggingface/datasets/issues/2149 | 2,149 | Telugu subset missing for xtreme tatoeba dataset | {
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"Good catch ! Thanks for reporting\r\n\r\nI just opened #2180 to fix this",
"Fixed in #2180"
] | 2021-03-30T15:26:34Z | 2022-10-05T13:28:30Z | 2022-10-05T13:28:30Z | CONTRIBUTOR | null | null | from nlp import load_dataset
train_dataset = load_dataset('xtreme', 'tatoeba.tel')['validation']
ValueError: BuilderConfig tatoeba.tel not found.
but language tel is actually included in xtreme:
https://github.com/google-research/xtreme/blob/master/utils_preprocess.py
def tatoeba_preprocess(args):
lang3_dict ... | {
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https://github.com/huggingface/datasets/issues/2148 | 2,148 | Add configurable options to `seqeval` metric | {
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"Hi @marrodion. \r\n\r\nThanks for pointing this out. It would be great to incorporate this metric-specific enhancement.\r\n\r\nAnother possibility would be to require the user to input the scheme as a string `mode=\"strict\", scheme=\"IOB2\"` and then dynamically import the corresponding module using Python `impor... | 2021-03-30T15:04:06Z | 2021-04-15T13:49:46Z | 2021-04-15T13:49:46Z | CONTRIBUTOR | null | null | Right now `load_metric("seqeval")` only works in the default mode of evaluation (equivalent to conll evaluation).
However, seqeval library [supports](https://github.com/chakki-works/seqeval#support-features) different evaluation schemes (IOB1, IOB2, etc.), which can be plugged in just by supporting additional kwargs... | {
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https://github.com/huggingface/datasets/pull/2147 | 2,147 | Render docstring return type as inline | {
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See e.g. current docs for `Dataset.to_csv`. | {
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https://github.com/huggingface/datasets/issues/2146 | 2,146 | Dataset file size on disk is very large with 3D Array | {
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"Hi ! In the arrow file we store all the integers as uint8.\r\nSo your arrow file should weigh around `height x width x n_channels x n_images` bytes.\r\n\r\nWhat feature type do your TFDS dataset have ?\r\n\r\nIf it uses a `tfds.features.Image` type, then what is stored is the encoded data (as png or jpg for exampl... | 2021-03-30T14:46:09Z | 2021-04-16T13:07:02Z | null | NONE | null | null | Hi,
I have created my own dataset using the provided dataset loading script. It is an image dataset where images are stored as 3D Array with dtype=uint8.
The actual size on disk is surprisingly large. It takes 520 MB. Here is some info from `dataset_info.json`.
`{
"description": "",
"citation": ""... | null | {
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https://github.com/huggingface/datasets/pull/2145 | 2,145 | Implement Dataset add_column | {
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"#2274 has been merged. You can now merge master into this branch and use `assert_arrow_metadata_are_synced_with_dataset_features(dset)` to make sure that the metadata are good :)"
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Close #1954. | {
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https://github.com/huggingface/datasets/issues/2144 | 2,144 | Loading wikipedia 20200501.en throws pyarrow related error | {
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"That's how I loaded the dataset\r\n```python\r\nfrom datasets import load_dataset\r\nds = load_dataset('wikipedia', '20200501.en', cache_dir='/usr/local/workspace/NAS_NLP/cache')\r\n```",
"Hi ! It looks like the arrow file in the folder\r\n`/usr/local/workspace/NAS_NLP/cache/wikipedia/20200501.en/1.0.0/50aa706aa... | 2021-03-30T10:38:31Z | 2021-04-01T09:21:17Z | null | NONE | null | null | **Problem description**
I am getting the following error when trying to load wikipedia/20200501.en dataset.
**Error log**
Downloading and preparing dataset wikipedia/20200501.en (download: 16.99 GiB, generated: 17.07 GiB, post-processed: Unknown size, total: 34.06 GiB) to /usr/local/workspace/NAS_NLP/cache/wikiped... | null | {
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https://github.com/huggingface/datasets/pull/2143 | 2,143 | task casting via load_dataset | {
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not satisfied with the API, it means as a dataset implementer I need to write a function with boilerplate and write classes for each `<dataset><task>` "facet". | {
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https://github.com/huggingface/datasets/pull/2142 | 2,142 | Gem V1.1 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This branch updates the GEM benchmark to its 1.1 version which includes:
- challenge sets for most tasks
- detokenized TurkCorpus to match the rest of the text simplification subtasks
- fixed inputs for TurkCorpus and ASSET test sets
- 18 languages in WikiLingua
cc @sebastianGehrmann | {
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https://github.com/huggingface/datasets/pull/2141 | 2,141 | added spans field for the wikiann datasets | {
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"Hi @lhoestq \r\nThanks a lot for taking time checking it. I update \"dataset_infos.json\", I added description to the function of _generate_samples in wikiann.py but I was not sure about the format to write in README. thanks. ",
"Thanks !\r\n\r\nFor the fields description in the dataset card, something like thi... | 2021-03-29T23:38:26Z | 2021-03-31T13:27:50Z | 2021-03-31T13:27:50Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Hi @lhoestq
I tried to add spans to the wikiann datasets.
Thanks a lot for kindly having a look.
This addresses https://github.com/huggingface/datasets/issues/2130.
Best regards
Rabeeh | {
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https://github.com/huggingface/datasets/pull/2140 | 2,140 | add banking77 dataset | {
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"@lhoestq I updated files"
] | 2021-03-29T21:32:23Z | 2021-04-09T09:32:18Z | 2021-04-09T09:32:18Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/issues/2139 | 2,139 | TypeError when using save_to_disk in a dataset loaded with ReadInstruction split | {
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"Hi !\r\nI think this has been fixed recently on `master`.\r\nCan you try again by installing `datasets` from `master` ?\r\n```\r\npip install git+https://github.com/huggingface/datasets.git\r\n```",
"Hi!\r\n\r\nUsing that version of the code solves the issue. Thanks!"
] | 2021-03-29T18:23:54Z | 2021-03-30T09:12:53Z | 2021-03-30T09:12:53Z | NONE | null | null | Hi,
Loading a dataset with `load_dataset` using a split defined via `ReadInstruction` and then saving it to disk results in the following error: `TypeError: Object of type ReadInstruction is not JSON serializable`.
Here is the minimal reproducible example:
```python
from datasets import load_dataset
from dat... | {
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https://github.com/huggingface/datasets/pull/2138 | 2,138 | Add CER metric | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Add Character Error Rate (CER) metric that is used in evaluation in ASR. I also have written unittests (hopefully thorough enough) but I'm not sure how to integrate them into the existed codebase.
```python
from cer import CER
cer = CER()
class TestCER(unittest.TestCase):
def test_cer_case_senstive(self)... | {
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https://github.com/huggingface/datasets/pull/2137 | 2,137 | Fix missing infos from concurrent dataset loading | {
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When calling `load_dataset` at the same time from 2 workers, one of the worker could have missing split infos when reloading the dataset from the cache.
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https://github.com/huggingface/datasets/pull/2136 | 2,136 | fix dialogue action slot name and value | {
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https://github.com/huggingface/datasets/issues/2135 | 2,135 | en language data from MLQA dataset is missing | {
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"Hi ! Indeed only the languages of the `translate-train` data are included...\r\nI can't find a link to download the english train set on https://github.com/facebookresearch/MLQA though, do you know where we can download it ?",
"Hi @lhoestq \r\nthank you very much for coming back to me, now I see, you are right, ... | 2021-03-29T10:47:50Z | 2021-03-30T10:20:23Z | 2021-03-30T10:20:23Z | CONTRIBUTOR | null | null | Hi
I need mlqa-translate-train.en dataset, but it is missing from the MLQA dataset. could you have a look please? @lhoestq thank you for your help to fix this issue. | {
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https://github.com/huggingface/datasets/issues/2134 | 2,134 | Saving large in-memory datasets with save_to_disk crashes because of pickling | {
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"Hi !\r\nIndeed `save_to_disk` doesn't call pickle anymore. Though the `OverflowError` can still appear for in-memory datasets bigger than 4GB. This happens when doing this for example:\r\n```python\r\nimport pyarrow as pa\r\nimport pickle\r\n\r\narr = pa.array([0] * ((4 * 8 << 30) // 64))\r\ntable = pa.Table.from_... | 2021-03-29T10:43:15Z | 2021-05-03T17:59:21Z | 2021-05-03T17:59:21Z | NONE | null | null | Using Datasets 1.5.0 on Python 3.7.
Recently I've been working on medium to large size datasets (pretokenized raw text sizes from few gigabytes to low tens of gigabytes), and have found out that several preprocessing steps are massively faster when done in memory, and I have the ability to requisition a lot of RAM, so... | {
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https://github.com/huggingface/datasets/issues/2133 | 2,133 | bug in mlqa dataset | {
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"If you print those questions, you get readable texts:\r\n```python\r\n>>> questions = [\r\n... \"\\u0645\\u062a\\u0649 \\u0628\\u062f\\u0627\\u062a \\u0627\\u0644\\u0645\\u062c\\u0644\\u0629 \\u0627\\u0644\\u0645\\u062f\\u0631\\u0633\\u064a\\u0629 \\u0641\\u064a \\u0646\\u0648\\u062a\\u0631\\u062f\\u0627\\u064... | 2021-03-29T09:03:09Z | 2021-03-30T17:40:57Z | 2021-03-30T17:40:57Z | NONE | null | null | Hi
Looking into MLQA dataset for langauge "ar":
```
"question": [
"\u0645\u062a\u0649 \u0628\u062f\u0627\u062a \u0627\u0644\u0645\u062c\u0644\u0629 \u0627\u0644\u0645\u062f\u0631\u0633\u064a\u0629 \u0641\u064a \u0646\u0648\u062a\u0631\u062f\u0627\u0645 \u0628\u0627\u0644\u0646\u0634\u0631?",
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https://github.com/huggingface/datasets/issues/2132 | 2,132 | TydiQA dataset is mixed and is not split per language | {
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"You can filter the languages this way:\r\n```python\r\ntydiqa_en = tydiqa_dataset.filter(lambda x: x[\"language\"] == \"english\")\r\n```\r\n\r\nOtherwise maybe we can have one configuration per language ?\r\nWhat do you think of this for example ?\r\n\r\n```python\r\nload_dataset(\"tydiqa\", \"primary_task.en\")\... | 2021-03-29T08:56:21Z | 2021-04-04T09:57:15Z | null | NONE | null | null | Hi @lhoestq
Currently TydiQA is mixed and user can only access the whole training set of all languages:
https://www.tensorflow.org/datasets/catalog/tydi_qa
for using this dataset, one need to train/evaluate in each separate language, and having them mixed, makes it hard to use this dataset. This is much convenien... | null | {
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https://github.com/huggingface/datasets/issues/2131 | 2,131 | When training with Multi-Node Multi-GPU the worker 2 has TypeError: 'NoneType' object | {
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"Hi ! Thanks for reporting\r\nI was able to reproduce this issue. This was caused by missing split infos if a worker reloads the cache of the other worker.\r\n\r\nI just opened https://github.com/huggingface/datasets/pull/2137 to fix this issue",
"The PR got merged :)\r\nFeel free to try it out on the `master` br... | 2021-03-29T08:45:58Z | 2021-04-10T11:08:55Z | 2021-04-10T11:08:55Z | NONE | null | null | version: 1.5.0
met a very strange error, I am training large scale language model, and need train on 2 machines(workers).
And sometimes I will get this error `TypeError: 'NoneType' object is not iterable`
This is traceback
```
71 | | Traceback (most recent call last):
-- | -- | --
72 | | File "run_gpt.py"... | {
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https://github.com/huggingface/datasets/issues/2130 | 2,130 | wikiann dataset is missing columns | {
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"Here please find TFDS format of this dataset: https://www.tensorflow.org/datasets/catalog/wikiann\r\nwhere there is a span column, this is really necessary to be able to use the data, and I appreciate your help @lhoestq ",
"Hi !\r\nApparently you can get the spans from the NER tags using `tags_to_spans` defined ... | 2021-03-29T08:23:00Z | 2021-08-27T14:44:18Z | 2021-08-27T14:44:18Z | NONE | null | null | Hi
Wikiann dataset needs to have "spans" columns, which is necessary to be able to use this dataset, but this column is missing from huggingface datasets, could you please have a look? thank you @lhoestq | {
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https://github.com/huggingface/datasets/issues/2129 | 2,129 | How to train BERT model with next sentence prediction? | {
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"Hi !\r\nWe're not using `TextDatasetForNextSentencePrediction` in `datasets`.\r\nAlthough you can probably use the `TextDatasetForNextSentencePrediction.create_examples_from_document` on a dataset to prepare it for next sentence prediction.",
"Thanks.\r\n\r\nDo you mean that `TextDatasetForNextSentencePrediction... | 2021-03-29T06:48:03Z | 2021-04-01T04:58:40Z | 2021-04-01T04:58:40Z | NONE | null | null | Hello.
I'm trying to pretrain the BERT model with next sentence prediction. Is there any function that supports next sentence prediction
like ` TextDatasetForNextSentencePrediction` of `huggingface/transformers` ?
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https://github.com/huggingface/datasets/issues/2128 | 2,128 | Dialogue action slot name and value are reversed in MultiWoZ 2.2 | {
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"Hi\r\nGood catch ! Thanks for reporting\r\n\r\nIf you are interested in contributing, feel free to open a PR to fix this :) "
] | 2021-03-29T06:34:02Z | 2021-03-31T12:48:01Z | 2021-03-31T12:48:01Z | CONTRIBUTOR | null | null | Hi @yjernite, thank you for adding MultiWoZ 2.2 in the huggingface datasets platform. It is beneficial!
I spot an error that the order of Dialogue action slot names and values are reversed.
https://github.com/huggingface/datasets/blob/649b2c469779bc4221e1b6969aa2496d63eb5953/datasets/multi_woz_v22/multi_woz_v22.p... | {
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https://github.com/huggingface/datasets/pull/2127 | 2,127 | make documentation more clear to use different cloud storage | {
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https://github.com/huggingface/datasets/pull/2126 | 2,126 | Replace legacy torch.Tensor constructor with torch.tensor | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | The title says it all (motivated by [this issue](https://github.com/pytorch/pytorch/issues/53146) in the pytorch repo). | {
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https://github.com/huggingface/datasets/issues/2125 | 2,125 | Is dataset timit_asr broken? | {
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"Hi,\r\n\r\nthanks for the report, but this is a duplicate of #2052. ",
"@mariosasko \r\nThank you for your quick response! Following #2052, I've fixed the problem."
] | 2021-03-28T08:30:18Z | 2021-03-28T12:29:25Z | 2021-03-28T12:29:25Z | NONE | null | null | Using `timit_asr` dataset, I saw all records are the same.
``` python
from datasets import load_dataset, load_metric
timit = load_dataset("timit_asr")
from datasets import ClassLabel
import random
import pandas as pd
from IPython.display import display, HTML
def show_random_elements(dataset, num_example... | {
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https://github.com/huggingface/datasets/issues/2124 | 2,124 | Adding ScaNN library to do MIPS? | {
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"I haven't played with it (yet) but it sounds really cool !\r\n"
] | 2021-03-28T00:07:00Z | 2021-03-29T13:23:43Z | null | NONE | null | null | @lhoestq Hi I am thinking of adding this new google library to do the MIPS similar to **add_faiss_idex**. As the paper suggests, it is really fast when it comes to retrieving the nearest neighbors.
https://github.com/google-research/google-research/tree/master/scann
![image](https://user-images.githubusercontent... | null | {
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https://github.com/huggingface/datasets/issues/2123 | 2,123 | Problem downloading GEM wiki_auto_asset_turk dataset | {
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"Hi,\r\n\r\nsadly I can't replicate the problem on my Windows machine. Try to update the library to the newest version with:\r\n```bash\r\npip install git+https://github.com/huggingface/datasets\r\n``` ",
"Thanks for the answer! I updated the library but unfortunately it didn't solve the problem.",
"Is there an... | 2021-03-27T18:41:28Z | 2021-05-12T16:15:18Z | 2021-05-12T16:15:17Z | NONE | null | null | @yjernite
### Summary
I am currently working on the GEM datasets and do not manage to download the wiki_auto_asset_turk data, whereas all other datasets download well with the same code.
### Steps to reproduce
Code snippet:
from datasets import load_dataset
#dataset = load_dataset('gem', 'web_nlg_en')
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https://github.com/huggingface/datasets/pull/2122 | 2,122 | Fast table queries with interpolation search | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | ## Intro
This should fix issue #1803
Currently querying examples in a dataset is O(n) because of the underlying pyarrow ChunkedArrays implementation.
To fix this I implemented interpolation search that is pretty effective since datasets usually verifies the condition of evenly distributed chunks (the default ch... | {
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https://github.com/huggingface/datasets/pull/2121 | 2,121 | Add Validation For README | {
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"Good start! Here are some proposed next steps:\r\n- We want the Class structure to reflect the template - so the parser know what section titles to expect and when something has gone wrong\r\n- As a result, we don't need to parse the table of contents, since it will always be the same\r\n- For each section/subsect... | 2021-03-26T17:02:17Z | 2021-05-10T13:17:18Z | 2021-05-10T09:41:41Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Hi @lhoestq, @yjernite
This is a simple Readme parser. All classes specific to different sections can inherit `Section` class, and we can define more attributes in each.
Let me know if this is going in the right direction :)
Currently the output looks like this, for `to_dict()` on `FashionMNIST` `README.md`:
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https://github.com/huggingface/datasets/issues/2120 | 2,120 | dataset viewer does not work anymore | {
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"Thanks for reporting :) We're looking into it",
"Back up. "
] | 2021-03-26T13:22:13Z | 2021-03-26T15:52:22Z | 2021-03-26T15:52:22Z | NONE | null | null | Hi
I normally use this link to see all datasets and how I can load them
https://huggingface.co/datasets/viewer/
Now I am getting
502 Bad Gateway
nginx/1.18.0 (Ubuntu)
could you bring this webpage back ? this was very helpful @lhoestq
thanks for your help | {
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https://github.com/huggingface/datasets/pull/2119 | 2,119 | copy.deepcopy os.environ instead of copy | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fixes: https://github.com/huggingface/datasets/issues/2115
- bug fix: using envrion.copy() returns a dict.
- using deepcopy(environ) returns an `_environ` object
- Changing the datatype of the _environ object can break code, if subsequent libraries perform operations using apis exclusive to the environ object, lik... | {
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https://github.com/huggingface/datasets/pull/2118 | 2,118 | Remove os.environ.copy in Dataset.map | {
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"I thought deepcopy on `os.environ` is unsafe (see [this](https://stackoverflow.com/questions/13142972/using-copy-deepcopy-on-os-environ-in-python-appears-broken)), but I can't replicate the behavior described in the linked SO thread.\r\n\r\nClosing this one because #2119 has a much cleaner approach."
] | 2021-03-26T03:48:17Z | 2021-03-26T12:03:23Z | 2021-03-26T12:00:05Z | COLLABORATOR | false | {
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Fixes #2115 | {
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https://github.com/huggingface/datasets/issues/2117 | 2,117 | load_metric from local "glue.py" meet error 'NoneType' object is not callable | {
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"@Frankie123421 what was the resolution to this?",
"> @Frankie123421 what was the resolution to this?\r\n\r\nuse glue_metric.py instead of glue.py in load_metric",
"thank you!"
] | 2021-03-26T02:35:22Z | 2021-08-25T21:44:05Z | 2021-03-26T02:40:26Z | NONE | null | null | actual_task = "mnli" if task == "mnli-mm" else task
dataset = load_dataset(path='/home/glue.py', name=actual_task)
metric = load_metric(path='/home/glue.py', name=actual_task)
---------------------------------------------------------------------------
TypeError Traceback (most recent... | {
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https://github.com/huggingface/datasets/issues/2116 | 2,116 | Creating custom dataset results in error while calling the map() function | {
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"Hi,\r\n\r\nthe `_data` attribute is missing due to `MyDataset.__init__` not calling the parent `__init__`. However, I don't think it's a good idea to subclass the `datasets.Dataset` class (e.g. it's kind of dangerous to override `datasets.Dataset.__getitem__`). Instead, it's better to follow the \"association over... | 2021-03-26T00:37:46Z | 2021-03-31T14:30:32Z | 2021-03-31T14:30:32Z | NONE | null | null | calling `map()` of `datasets` library results into an error while defining a Custom dataset.
Reproducible example:
```
import datasets
class MyDataset(datasets.Dataset):
def __init__(self, sentences):
"Initialization"
self.samples = sentences
def __len__(self):
"Denotes the ... | {
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https://github.com/huggingface/datasets/issues/2115 | 2,115 | The datasets.map() implementation modifies the datatype of os.environ object | {
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This causes following function calls to fail as follows:
`
x = os.environ.get("TEST_ENV_VARIABLE_AFTER_dataset_map", default=None)
TypeError: get() takes... | {
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https://github.com/huggingface/datasets/pull/2114 | 2,114 | Support for legal NLP datasets (EURLEX, ECtHR cases and EU-REG-IR) | {
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"> Awesome thank you :)\r\n> This is really cool\r\n> \r\n> I left a few comments.\r\n> \r\n> Also it looks like the dummy data are quite big (100-200KB each). Can you try to reduce their sizes please ? For example I noticed that all the jsonl files inside the `dummy_data.zip` files have 20 lines. Can you only keep... | 2021-03-25T18:40:17Z | 2021-03-31T10:38:50Z | 2021-03-31T10:38:50Z | CONTRIBUTOR | false | {
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- EURLEX (https://www.aclweb.org/anthology/P19-1636/)
- ECtHR cases (https://arxiv.org/abs/2103.13084)
- EU-REG-IR (https://arxiv.org/abs/2101.10726) | {
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https://github.com/huggingface/datasets/pull/2113 | 2,113 | Implement Dataset as context manager | {
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This will avoid
> During handling of the above exception, another exception occurred: | {
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https://github.com/huggingface/datasets/pull/2112 | 2,112 | Support for legal NLP datasets (EURLEX and ECtHR cases) | {
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- EURLEX (https://www.aclweb.org/anthology/P19-1636/)
- ECtHR cases (https://arxiv.org/abs/2103.13084) | {
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https://github.com/huggingface/datasets/pull/2111 | 2,111 | Compute WER metric iteratively | {
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"I discussed with Patrick and I think we could have a nice addition: have a parameter `concatenate_texts` that, if `True`, uses the old implementation.\r\n\r\nBy default `concatenate_texts` would be `False`, so that sentences are evaluated independently, and to save resources (the WER computation has a quadratic co... | 2021-03-25T16:06:48Z | 2021-04-06T07:20:43Z | 2021-04-06T07:20:43Z | MEMBER | false | {
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Fix #2078. | {
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https://github.com/huggingface/datasets/pull/2110 | 2,110 | Fix incorrect assertion in builder.py | {
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"Hi ! The SplitInfo is not always available. By default you would get `split_info.num_examples == 0`\r\nSo unfortunately we can't use this assertion you suggested",
"> Hi ! The SplitInfo is not always available. By default you would get `split_info.num_examples == 0`\r\n> So unfortunately we can't use this assert... | 2021-03-25T10:39:20Z | 2021-04-12T13:33:03Z | 2021-04-12T13:33:03Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/2109 | 2,109 | Add more issue templates and customize issue template chooser | {
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"If you agree, I could also add a link to [Discussions](https://github.com/huggingface/datasets/discussions) in order to reinforce the use of Discussion to make Questions (instead of Issues).\r\n\r\nI could also add some other templates: Bug, Feature Request,...",
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | When opening an issue, it is not evident for the users how to choose a blank issue template. There is a link at the bottom of all the other issue templates (`Don’t see your issue here? Open a blank issue.`), but this is not very visible for users. This is the reason why many users finally chose the `add-dataset` templa... | {
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https://github.com/huggingface/datasets/issues/2108 | 2,108 | Is there a way to use a GPU only when training an Index in the process of add_faisis_index? | {
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] | open | false | [] | 2021-03-24T21:32:16Z | 2021-03-25T06:31:43Z | null | NONE | null | null | Motivation - Some FAISS indexes like IVF consist of the training step that clusters the dataset into a given number of indexes. It would be nice if we can use a GPU to do the training step and covert the index back to CPU as mention in [this faiss example](https://gist.github.com/mdouze/46d6bbbaabca0b9778fca37ed2bcccf6... | null | {
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https://github.com/huggingface/datasets/pull/2107 | 2,107 | Metadata validation | {
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"> Also I was wondering this is really needed to have `utils.metadata` as a submodule of `datasets` ? This is only used by the CI so I'm not sure we should have this in the actual `datasets` package.\r\n\r\nI'm unclear on the suggestion, would you rather have a root-level `./metadata.py` file? I think it's well whe... | 2021-03-24T08:52:41Z | 2021-04-26T08:27:14Z | 2021-04-26T08:27:13Z | CONTRIBUTOR | false | {
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- ci script to validate new changes against this schema and start a vertuous loop
- soft validation on tasks ids since we expect the taxonomy to undergo some changes in the near future
for reference with the current validation we have ~365... | {
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https://github.com/huggingface/datasets/issues/2106 | 2,106 | WMT19 Dataset for Kazakh-English is not formatted correctly | {
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"Hi ! Thanks for reporting\r\n\r\nBy looking at the raw `news-commentary-v14.en-kk.tsv` file, it looks like there are at least 17 lines with this issue.\r\nMoreover these issues are not always the same:\r\n- L97 is only `kk` text and must be appended at the end of the `kk` text of the **next** line\r\n- L2897 is on... | 2021-03-23T20:14:47Z | 2021-03-25T21:36:20Z | null | NONE | null | null | In addition to the bug of languages being switched from Issue @415, there are incorrect translations in the dataset because the English-Kazakh translations have a one off formatting error.
The News Commentary v14 parallel data set for kk-en from http://www.statmt.org/wmt19/translation-task.html has a bug here:
> ... | null | {
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https://github.com/huggingface/datasets/issues/2105 | 2,105 | Request to remove S2ORC dataset | {
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"Hello @kyleclo! Currently, we are getting the data from your bucket, so if you remove it the HF script won't work anymore :) \r\n\r\nUntil you solve things on your end, @lhoestq suggested we just return a warning message when people try to load that dataset from HF. What would you like it to say?",
"Hi @kyleclo,... | 2021-03-23T19:43:06Z | 2021-08-04T19:18:02Z | null | NONE | null | null | Hi! I was wondering if it's possible to remove [S2ORC](https://huggingface.co/datasets/s2orc) from hosting on Huggingface's platform? Unfortunately, there are some legal considerations about how we make this data available. Happy to add back to Huggingface's platform once we work out those hurdles! Thanks! | null | {
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https://github.com/huggingface/datasets/issues/2104 | 2,104 | Trouble loading wiki_movies | {
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"Hi ! `wiki_movies` was added in `datasets==1.2.0`. However it looks like you have `datasets==1.1.2`.\r\n\r\nTo use `wiki_movies`, please update `datasets` with\r\n```\r\npip install --upgrade datasets\r\n```",
"Thanks a lot! That solved it and I was able to upload a model trained on it as well :)"
] | 2021-03-23T18:59:54Z | 2022-03-30T08:22:58Z | 2022-03-30T08:22:58Z | NONE | null | null | Hello,
I am trying to load_dataset("wiki_movies") and it gives me this error -
`FileNotFoundError: Couldn't find file locally at wiki_movies/wiki_movies.py, or remotely at https://raw.githubusercontent.com/huggingface/datasets/1.1.2/datasets/wiki_movies/wiki_movies.py or https://s3.amazonaws.com/datasets.huggingfa... | {
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https://github.com/huggingface/datasets/issues/2103 | 2,103 | citation, homepage, and license fields of `dataset_info.json` are duplicated many times | {
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"Thanks for reporting :)\r\nMaybe we can concatenate fields only if they are different.\r\n\r\nCurrently this is done here:\r\n\r\nhttps://github.com/huggingface/nlp/blob/349ac4398a3bcae6356f14c5754483383a60e8a4/src/datasets/info.py#L180-L196\r\n\r\nThis can be a good first contribution to the library.\r\nPlease co... | 2021-03-23T17:18:09Z | 2021-04-06T14:39:59Z | 2021-04-06T14:39:59Z | NONE | null | null | This happens after a `map` operation when `num_proc` is set to `>1`. I tested this by cleaning up the json before running the `map` op on the dataset so it's unlikely it's coming from an earlier concatenation.
Example result:
```
"citation": "@ONLINE {wikidump,\n author = {Wikimedia Foundation},\n title = {... | {
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https://github.com/huggingface/datasets/pull/2102 | 2,102 | Move Dataset.to_csv to csv module | {
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https://github.com/huggingface/datasets/pull/2101 | 2,101 | MIAM dataset - new citation details | {
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"Hi !\r\nLooks like there's a unicode error in the new citation in the miam.py file.\r\nCould you try to fix it ? Not sure from which character it comes from though\r\n\r\nYou can test if it works on your side with\r\n```\r\nRUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_con... | 2021-03-23T10:41:23Z | 2021-03-23T18:08:10Z | 2021-03-23T18:08:10Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Hi @lhoestq, I have updated the citations to reference an OpenReview preprint. | {
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https://github.com/huggingface/datasets/pull/2100 | 2,100 | Fix deprecated warning message and docstring | {
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"I have a question: what about `dictionary_encode_column_`?\r\n- It is deprecated in Dataset, but it recommends using a non-existing method instead: `Dataset.dictionary_encode_column` does not exist.\r\n- It is NOT deprecated in DatasetDict.",
"`dictionary_encode_column_ ` should be deprecated since it never work... | 2021-03-23T10:27:52Z | 2021-03-24T08:19:41Z | 2021-03-23T18:03:49Z | MEMBER | false | {
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- Raise FutureWarning | {
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https://github.com/huggingface/datasets/issues/2099 | 2,099 | load_from_disk takes a long time to load local dataset | {
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"Hi !\r\nCan you share more information about the features of your dataset ? You can get them by printing `my_dataset.features`\r\nCan you also share the code of your `map` function ?",
"It is actually just the tokenized `wikipedia` dataset with `input_ids`, `attention_mask`, etc, with one extra column which is a... | 2021-03-23T09:28:37Z | 2021-03-23T17:12:16Z | 2021-03-23T17:12:16Z | NONE | null | null | I have an extremely large tokenized dataset (24M examples) that loads in a few minutes. However, after adding a column similar to `input_ids` (basically a list of integers) and saving the dataset to disk, the load time goes to >1 hour. I've even tried using `np.uint8` after seeing #1985 but it doesn't seem to be helpin... | {
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https://github.com/huggingface/datasets/issues/2098 | 2,098 | SQuAD version | {
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"Hi ! This is 1.1 as specified by the download urls here:\r\n\r\nhttps://github.com/huggingface/nlp/blob/349ac4398a3bcae6356f14c5754483383a60e8a4/datasets/squad/squad.py#L50-L55",
"Got it. Thank you~"
] | 2021-03-23T07:47:54Z | 2021-03-26T09:48:54Z | 2021-03-26T09:48:54Z | NONE | null | null | Hi~
I want train on squad dataset. What's the version of the squad? Is it 1.1 or 1.0? I'm new in QA, I don't find some descriptions about it. | {
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