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https://github.com/huggingface/datasets/pull/2954 | Run tests in parallel | There is a speed up in Windows machines:
- From `13m 52s` to `11m 10s`
In Linux machines, some workers crash with error message:
```
OSError: [Errno 12] Cannot allocate memory
``` | Run CI tests in parallel to speed up the test suite. | 32 | text: Run tests in parallel
Run CI tests in parallel to speed up the test suite.
There is a speed up in Windows machines:
- From `13m 52s` to `11m 10s`
In Linux machines, some workers crash with error message:
```
OSError: [Errno 12] Cannot allocate memory
``` | [
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https://github.com/huggingface/datasets/pull/2954 | Run tests in parallel | There is also a speed up in Linux machines:
- From `7m 30s` to `5m 32s` | Run CI tests in parallel to speed up the test suite. | 16 | text: Run tests in parallel
Run CI tests in parallel to speed up the test suite.
There is also a speed up in Linux machines:
- From `7m 30s` to `5m 32s` | [
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https://github.com/huggingface/datasets/pull/2951 | Dummy labels no longer on by default in `to_tf_dataset` | @lhoestq Let me make sure we never need it, and if not then I'll remove it entirely in a follow-up PR. | After more experimentation, I think I have a way to do things that doesn't depend on adding `dummy_labels` - they were quite a hacky solution anyway! | 21 | text: Dummy labels no longer on by default in `to_tf_dataset`
After more experimentation, I think I have a way to do things that doesn't depend on adding `dummy_labels` - they were quite a hacky solution anyway!
@lhoestq Let me make sure we never need it, and if not then I'll remove it entirely in a follow-up PR. | [
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https://github.com/huggingface/datasets/pull/2951 | Dummy labels no longer on by default in `to_tf_dataset` | Thanks ;) it will be less confusing and easier to maintain to not keep unused hacky features | After more experimentation, I think I have a way to do things that doesn't depend on adding `dummy_labels` - they were quite a hacky solution anyway! | 17 | text: Dummy labels no longer on by default in `to_tf_dataset`
After more experimentation, I think I have a way to do things that doesn't depend on adding `dummy_labels` - they were quite a hacky solution anyway!
Thanks ;) it will be less confusing and easier to maintain to not keep unused hacky features | [
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https://github.com/huggingface/datasets/pull/2942 | Add SEDE dataset | Thanks @albertvillanova for your great suggestions! I just pushed a new commit with the necessary fixes. For some reason, the test `test_metric_common` failed for `meteor` metric, which doesn't have any connection to this PR, so I'm trying to rebase and see if it helps. | This PR adds the SEDE dataset for the task of realistic Text-to-SQL, following the instructions of how to add a database and a dataset card.
Please see our paper for more details: https://arxiv.org/abs/2106.05006 | 44 | text: Add SEDE dataset
This PR adds the SEDE dataset for the task of realistic Text-to-SQL, following the instructions of how to add a database and a dataset card.
Please see our paper for more details: https://arxiv.org/abs/2106.05006
Thanks @albertvillanova for your great suggestions! I just pushed a new commit with the necessary fixes. For some reason, the test `test_metric_common` failed for `meteor` metric, which doesn't have any connection to this PR, so I'm trying to rebase and see if it helps. | [
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https://github.com/huggingface/datasets/pull/2942 | Add SEDE dataset | Hi @Hazoom,
You were right: the non-passing test had nothing to do with this PR.
Unfortunately, you did a git rebase (instead of a git merge), which is not recommended once you have already opened a pull request because you mess up your pull request history. You can see that your pull request now contains:
- your commits repeated two times
- and commits which are not yours from the master branch
If you would like to clean your pull request, please make:
```
git reset --hard 587b93a
git fetch upstream master
git merge upstream/master
git push --force origin sede
``` | This PR adds the SEDE dataset for the task of realistic Text-to-SQL, following the instructions of how to add a database and a dataset card.
Please see our paper for more details: https://arxiv.org/abs/2106.05006 | 101 | text: Add SEDE dataset
This PR adds the SEDE dataset for the task of realistic Text-to-SQL, following the instructions of how to add a database and a dataset card.
Please see our paper for more details: https://arxiv.org/abs/2106.05006
Hi @Hazoom,
You were right: the non-passing test had nothing to do with this PR.
Unfortunately, you did a git rebase (instead of a git merge), which is not recommended once you have already opened a pull request because you mess up your pull request history. You can see that your pull request now contains:
- your commits repeated two times
- and commits which are not yours from the master branch
If you would like to clean your pull request, please make:
```
git reset --hard 587b93a
git fetch upstream master
git merge upstream/master
git push --force origin sede
``` | [
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https://github.com/huggingface/datasets/pull/2942 | Add SEDE dataset | > Hi @Hazoom,
>
> You were right: the non-passing test had nothing to do with this PR.
>
> Unfortunately, you did a git rebase (instead of a git merge), which is not recommended once you have already opened a pull request because you mess up your pull request history. You can see that your pull request now contains:
>
> * your commits repeated two times
> * and commits which are not yours from the master branch
>
> If you would like to clean your pull request, please make:
>
> ```
> git reset --hard 587b93a
> git fetch upstream master
> git merge upstream/master
> git push --force origin sede
> ```
Thanks @albertvillanova | This PR adds the SEDE dataset for the task of realistic Text-to-SQL, following the instructions of how to add a database and a dataset card.
Please see our paper for more details: https://arxiv.org/abs/2106.05006 | 120 | text: Add SEDE dataset
This PR adds the SEDE dataset for the task of realistic Text-to-SQL, following the instructions of how to add a database and a dataset card.
Please see our paper for more details: https://arxiv.org/abs/2106.05006
> Hi @Hazoom,
>
> You were right: the non-passing test had nothing to do with this PR.
>
> Unfortunately, you did a git rebase (instead of a git merge), which is not recommended once you have already opened a pull request because you mess up your pull request history. You can see that your pull request now contains:
>
> * your commits repeated two times
> * and commits which are not yours from the master branch
>
> If you would like to clean your pull request, please make:
>
> ```
> git reset --hard 587b93a
> git fetch upstream master
> git merge upstream/master
> git push --force origin sede
> ```
Thanks @albertvillanova | [
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https://github.com/huggingface/datasets/pull/2942 | Add SEDE dataset | > Nice! Just one final request before approving your pull request:
>
> As you have updated the "QuerySetId" field data type, the size of the dataset is smaller now. You should regenerate the metadata. Please run:
>
> ```
> rm datasets/sede/dataset_infos.json
> datasets-cli test datasets/sede --save_infos --all_configs
> ```
@albertvillanova Good catch, just fixed it. | This PR adds the SEDE dataset for the task of realistic Text-to-SQL, following the instructions of how to add a database and a dataset card.
Please see our paper for more details: https://arxiv.org/abs/2106.05006 | 57 | text: Add SEDE dataset
This PR adds the SEDE dataset for the task of realistic Text-to-SQL, following the instructions of how to add a database and a dataset card.
Please see our paper for more details: https://arxiv.org/abs/2106.05006
> Nice! Just one final request before approving your pull request:
>
> As you have updated the "QuerySetId" field data type, the size of the dataset is smaller now. You should regenerate the metadata. Please run:
>
> ```
> rm datasets/sede/dataset_infos.json
> datasets-cli test datasets/sede --save_infos --all_configs
> ```
@albertvillanova Good catch, just fixed it. | [
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https://github.com/huggingface/datasets/pull/2938 | Take namespace into account in caching | We might have collisions if a username and a dataset_name are the same. Maybe instead serialize the dataset name by replacing `/` with some string, eg `__SLASH__`, that will hopefully never appear in a dataset or user name (it's what I did in https://github.com/huggingface/datasets-preview-backend/blob/master/benchmark/scripts/serialize.py. That way, all the datasets are one-level deep directories | Loading a dataset "username/dataset_name" hosted by a user on the hub used to cache the dataset only taking into account the dataset name, and ignorign the username. Because of this, if a user later loads "dataset_name" without specifying the username, it would reload the dataset from the cache instead of failing.
I changed the dataset cache and module cache mechanism to include the username in the name of the cache directory that is used:
<s>
`~/.cache/huggingface/datasets/username/dataset_name` for the data
`~/.cache/huggingface/modules/datasets_modules/datasets/username/dataset_name` for the python files
</s>
EDIT: actually using three underscores:
`~/.cache/huggingface/datasets/username___dataset_name` for the data
`~/.cache/huggingface/modules/datasets_modules/datasets/username___dataset_name` for the python files
This PR should fix the issue https://github.com/huggingface/datasets/issues/2842
cc @stas00 | 53 | text: Take namespace into account in caching
Loading a dataset "username/dataset_name" hosted by a user on the hub used to cache the dataset only taking into account the dataset name, and ignorign the username. Because of this, if a user later loads "dataset_name" without specifying the username, it would reload the dataset from the cache instead of failing.
I changed the dataset cache and module cache mechanism to include the username in the name of the cache directory that is used:
<s>
`~/.cache/huggingface/datasets/username/dataset_name` for the data
`~/.cache/huggingface/modules/datasets_modules/datasets/username/dataset_name` for the python files
</s>
EDIT: actually using three underscores:
`~/.cache/huggingface/datasets/username___dataset_name` for the data
`~/.cache/huggingface/modules/datasets_modules/datasets/username___dataset_name` for the python files
This PR should fix the issue https://github.com/huggingface/datasets/issues/2842
cc @stas00
We might have collisions if a username and a dataset_name are the same. Maybe instead serialize the dataset name by replacing `/` with some string, eg `__SLASH__`, that will hopefully never appear in a dataset or user name (it's what I did in https://github.com/huggingface/datasets-preview-backend/blob/master/benchmark/scripts/serialize.py. That way, all the datasets are one-level deep directories | [
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https://github.com/huggingface/datasets/pull/2938 | Take namespace into account in caching | IIRC we enforce that no repo id or username can contain `___` (exactly 3 underscores) specifically for this reason, so you can use that string (that we use in other projects)
cc @Pierrci | Loading a dataset "username/dataset_name" hosted by a user on the hub used to cache the dataset only taking into account the dataset name, and ignorign the username. Because of this, if a user later loads "dataset_name" without specifying the username, it would reload the dataset from the cache instead of failing.
I changed the dataset cache and module cache mechanism to include the username in the name of the cache directory that is used:
<s>
`~/.cache/huggingface/datasets/username/dataset_name` for the data
`~/.cache/huggingface/modules/datasets_modules/datasets/username/dataset_name` for the python files
</s>
EDIT: actually using three underscores:
`~/.cache/huggingface/datasets/username___dataset_name` for the data
`~/.cache/huggingface/modules/datasets_modules/datasets/username___dataset_name` for the python files
This PR should fix the issue https://github.com/huggingface/datasets/issues/2842
cc @stas00 | 33 | text: Take namespace into account in caching
Loading a dataset "username/dataset_name" hosted by a user on the hub used to cache the dataset only taking into account the dataset name, and ignorign the username. Because of this, if a user later loads "dataset_name" without specifying the username, it would reload the dataset from the cache instead of failing.
I changed the dataset cache and module cache mechanism to include the username in the name of the cache directory that is used:
<s>
`~/.cache/huggingface/datasets/username/dataset_name` for the data
`~/.cache/huggingface/modules/datasets_modules/datasets/username/dataset_name` for the python files
</s>
EDIT: actually using three underscores:
`~/.cache/huggingface/datasets/username___dataset_name` for the data
`~/.cache/huggingface/modules/datasets_modules/datasets/username___dataset_name` for the python files
This PR should fix the issue https://github.com/huggingface/datasets/issues/2842
cc @stas00
IIRC we enforce that no repo id or username can contain `___` (exactly 3 underscores) specifically for this reason, so you can use that string (that we use in other projects)
cc @Pierrci | [
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https://github.com/huggingface/datasets/pull/2938 | Take namespace into account in caching | > IIRC we enforce that no repo id or username can contain ___ (exactly 3 underscores) specifically for this reason, so you can use that string (that we use in other projects)
out of curiosity: where is it enforced? | Loading a dataset "username/dataset_name" hosted by a user on the hub used to cache the dataset only taking into account the dataset name, and ignorign the username. Because of this, if a user later loads "dataset_name" without specifying the username, it would reload the dataset from the cache instead of failing.
I changed the dataset cache and module cache mechanism to include the username in the name of the cache directory that is used:
<s>
`~/.cache/huggingface/datasets/username/dataset_name` for the data
`~/.cache/huggingface/modules/datasets_modules/datasets/username/dataset_name` for the python files
</s>
EDIT: actually using three underscores:
`~/.cache/huggingface/datasets/username___dataset_name` for the data
`~/.cache/huggingface/modules/datasets_modules/datasets/username___dataset_name` for the python files
This PR should fix the issue https://github.com/huggingface/datasets/issues/2842
cc @stas00 | 39 | text: Take namespace into account in caching
Loading a dataset "username/dataset_name" hosted by a user on the hub used to cache the dataset only taking into account the dataset name, and ignorign the username. Because of this, if a user later loads "dataset_name" without specifying the username, it would reload the dataset from the cache instead of failing.
I changed the dataset cache and module cache mechanism to include the username in the name of the cache directory that is used:
<s>
`~/.cache/huggingface/datasets/username/dataset_name` for the data
`~/.cache/huggingface/modules/datasets_modules/datasets/username/dataset_name` for the python files
</s>
EDIT: actually using three underscores:
`~/.cache/huggingface/datasets/username___dataset_name` for the data
`~/.cache/huggingface/modules/datasets_modules/datasets/username___dataset_name` for the python files
This PR should fix the issue https://github.com/huggingface/datasets/issues/2842
cc @stas00
> IIRC we enforce that no repo id or username can contain ___ (exactly 3 underscores) specifically for this reason, so you can use that string (that we use in other projects)
out of curiosity: where is it enforced? | [
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