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https://api.github.com/repos/huggingface/datasets/issues/20
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remove boto3 and promise dependencies
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With the new download manager, we don't need `promise` anymore. I also removed `boto3` as in [this pr](https://github.com/huggingface/transformers/pull/3968)
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Add Pandas as format type
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As detailed in the title ^^
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adding bleu score code
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this PR add the BLEU score metric to the lib. It can be tested by running the following code. ` from nlp.metrics import bleu hyp1 = "It is a guide to action which ensures that the military always obeys the commands of the party" ref1a = "It is a guide to action that ensures that the military forces always being...
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ValueError when a split is empty
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2020-04-15T13:25:13Z
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When a split is empty either TEST, VALIDATION or TRAIN I get the following error: ``` Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/jplu/dev/jplu/datasets/src/nlp/load.py", line 295, in load ds = dbuilder.as_dataset(**as_dataset_kwargs) File "/home/jplu/dev/jplu/data...
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[ "To fix this I propose to modify only the file `arrow_reader.py` with few updates. First update, the following method:\r\n```python\r\ndef _make_file_instructions_from_absolutes(\r\n name,\r\n name2len,\r\n absolute_instructions,\r\n):\r\n \"\"\"Returns the files instructions from the absolu...
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Error when citation is not given in the DatasetInfo
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The following error is raised when the `citation` parameter is missing when we instantiate a `DatasetInfo`: ``` Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/jplu/dev/jplu/datasets/src/nlp/info.py", line 338, in __repr__ citation_pprint = _indent('"""{}"""'.format(self....
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[ "Yes looks good to me.\r\nNote that we may refactor quite strongly the `info.py` to make it a lot simpler (it's very complicated for basically a dictionary of info I think)", "No, problem ^^ It might just be a temporary fix :)", "Fixed." ]
https://api.github.com/repos/huggingface/datasets/issues/19
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Replace tf.constant for TF
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Replace simple tf.constant type of Tensor to tf.ragged.constant which allows to have examples of different size in a tf.data.Dataset. Now the training works with TF. Here the same example than for the PT in collab: ```python import tensorflow as tf import nlp from transformers import BertTokenizerFast, TFBertF...
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[ "Awesome!" ]
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Fix issue 6: error when the citation is missing in the DatasetInfo
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Fix issue 5: allow empty datasets
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Updating caching mechanism - Allow dependency in dataset processing scripts - Fix style and quality in the repo
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This PR has a lot of content (might be hard to review, sorry, in particular because I fixed the style in the repo at the same time). # Style & quality: You can now install the style and quality tools with `pip install -e .[quality]`. This will install black, the compatible version of sort and flake8. You can then ...
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[ "LGTM" ]
https://api.github.com/repos/huggingface/datasets/issues/27
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27
[Cleanup] Removes all files in testing except test_dataset_common
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2020-04-30T17:39:25Z
2020-04-30T17:39:23Z
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As far as I know, all files in `tests` were old `tfds test files` so I removed them. We can still look them up on the other library.
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https://api.github.com/repos/huggingface/datasets/issues/28
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28
[Circle ci] Adds circle ci config
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2020-04-30T17:03:35Z
2020-04-30T19:51:09Z
2020-04-30T19:51:08Z
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@thomwolf can you take a look and set up circle ci on: https://app.circleci.com/projects/project-dashboard/github/huggingface I think for `nlp` only admins can set it up, which I guess is you :-)
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29
Hf_api small changes
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2020-04-30T17:06:43Z
2020-04-30T19:51:45Z
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From Patrick: ```python from nlp import hf_api api = hf_api.HfApi() api.dataset_list() ``` works :-)
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[ "Ok merging! I think it's good now" ]
https://api.github.com/repos/huggingface/datasets/issues/24
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24
Add checksums
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2020-04-29T13:37:29Z
2020-04-30T19:52:50Z
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### Checksums files They are stored next to the dataset script in urls_checksums/checksums.txt. They are used to check the integrity of the datasets downloaded files. I kept the same format as tensorflow-datasets. There is one checksums file for all configs. ### Load a dataset When you do `load("squad")`, i...
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[ "Looks good to me :-) \r\n\r\nJust would prefer to get rid of the `_DYNAMICALLY_IMPORTED_MODULE` attribute and replace it by a `get_imported_module()` function. Maybe there is something I'm not seeing here though - what do you think? ", "> * I'm not sure I understand the general organization of checksums. I see w...
https://api.github.com/repos/huggingface/datasets/issues/26
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26
[Tests] Clean tests
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2020-04-30T16:38:29Z
2020-04-30T20:12:04Z
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the abseil testing library (https://abseil.io/docs/python/quickstart.html) is better than the one I had before, so I decided to switch to that and changed the `setup.py` config file. Abseil has more support and a cleaner API for parametrized testing I think. I added a list of all dataset scripts that are currentl...
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https://api.github.com/repos/huggingface/datasets/issues/21
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21
Cleanup Features - Updating convert command - Fix Download manager
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2020-04-27T23:16:55Z
2020-05-01T09:29:47Z
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This PR makes a number of changes: # Updating `Features` Features are a complex mechanism provided in `tfds` to be able to modify a dataset on-the-fly when serializing to disk and when loading from disk. We don't really need this because (1) it hides too much from the user and (2) our datatype can be directly ...
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[ "For conflicts, I think the mention hint \"This should be modified because it mentions ...\" is missing.", "Looks great!" ]
https://api.github.com/repos/huggingface/datasets/issues/31
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31
[Circle ci] Install a virtual env before running tests
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Install a virtual env before running tests to not running into sudo issues when dynamically downloading files. Same number of tests now pass / fail as on my local computer: ![Screenshot from 2020-05-01 12-14-44](https://user-images.githubusercontent.com/23423619/80798814-8a0a0a80-8ba5-11ea-8db8-599d33bbfccd.png) ...
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https://api.github.com/repos/huggingface/datasets/issues/32
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32
Fix map caching notebooks
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2020-05-01T11:55:26Z
2020-05-03T12:15:58Z
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Previously, caching results with `.map()` didn't work in notebooks. To reuse a result, `.map()` serializes the functions with `dill.dumps` and then it hashes it. The problem is that when using `dill.dumps` to serialize a function, it also saves its origin (filename + line no.) and the origin of all the `globals` th...
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33
Big cleanup/refactoring for clean serialization
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2020-05-01T23:45:57Z
2020-05-03T12:17:34Z
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This PR cleans many base classes to re-build them as `dataclasses`. We can thus use a simple serialization workflow for `DatasetInfo`, including it's `Features` and `SplitDict` based on `dataclasses` `asdict()`. The resulting code is a lot shorter, can be easily serialized/deserialized, dataset info are human-readab...
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[ "Great! I think when this merged, we can merge sure that Circle Ci stays happy when uploading new datasets. " ]
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34
[Tests] add slow tests
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2020-05-03T12:18:30Z
2020-05-03T12:18:29Z
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This PR adds a slow test that downloads the "real" dataset. The test is decorated as "slow" so that it will not automatically run on circle ci. Before uploading a dataset, one should test that this test passes, manually by running ``` RUN_SLOW=1 pytest tests/test_dataset_common.py::DatasetTest::test_load_real_d...
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35
[Tests] fix typo
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@lhoestq - currently the slow test fail with: ``` _____________________________________________________________________________________ DatasetTest.test_load_real_dataset_xnli _____________________________________________________________________________________ ...
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[Feature] More dataset outputs
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Add the following dataset outputs: - Spark - Pandas
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[ "Yes!\r\n- pandas will be a one-liner in `arrow_dataset`: https://arrow.apache.org/docs/python/generated/pyarrow.Table.html#pyarrow.Table.to_pandas\r\n- for Spark I have no idea. let's investigate that at some point", "For Spark it looks to be pretty straightforward as well https://spark.apache.org/docs/latest/sq...
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[Test] improve slow testing
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[Checksums] Error for some datasets
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The checksums command works very nicely for `squad`. But for `crime_and_punish` and `xnli`, the same bug happens: When running: ``` python nlp-cli nlp-cli test xnli --save_checksums ``` leads to: ``` File "nlp-cli", line 33, in <module> service.run() File "/home/patrick/python_bin/nlp/commands...
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[ "@lhoestq - could you take a look? It's not very urgent though!", "Fixed with 06882b4\r\n\r\nNow your command works :)\r\nNote that you can also do\r\n```\r\nnlp-cli test datasets/nlp/xnli --save_checksums\r\n```\r\nSo that it will save the checksums directly in the right directory.", "Awesome!" ]
https://api.github.com/repos/huggingface/datasets/issues/40
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40
Update remote checksums instead of overwrite
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2020-05-04T09:13:14Z
2020-05-04T11:51:51Z
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When the user uploads a dataset on S3, checksums are also uploaded with the `--upload_checksums` parameter. If the user uploads the dataset in several steps, then the remote checksums file was previously overwritten. Now it's going to be updated with the new checksums.
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[Tests] allow tests for builders without config
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Some dataset scripts have no configs - the tests have to be adapted for this case. In this case the dummy data will be saved as: - natural_questions -> dummy -> -> 1.0.0 (version num) -> -> -> dummy_data.zip
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[Tests] Fix tests for datasets with no config
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Forgot to fix `None` problem for datasets that have no config this in PR: https://github.com/huggingface/nlp/pull/42
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[Load module] allow kwargs into load module
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Currenly it is not possible to force a re-download of the dataset script. This simple change allows to pass ``force_reload=True`` as ``builder_kwargs`` in the ``load.py`` function.
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[Features] Strip str key before dict look-up
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The dataset `anli.py` currently fails because it tries to look up a key `1\n` in a dict that only has the key `1`. Added an if statement to strip key if it cannot be found in dict.
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[PyArrow Feature] fix py arrow bool
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To me it seems that `bool` can only be accessed with `bool_` when looking at the pyarrow types: https://arrow.apache.org/docs/python/api/datatypes.html.
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[Command Convert] remove tensorflow import
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Remove all tensorflow import statements.
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[Tests] test only for fast test as a default
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Test only for one config on circle ci to speed up testing. Add all config test as a slow test. @mariamabarham @thomwolf
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[ "Test failure is not related to change in test file.\r\n" ]
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fix flatten nested
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allow dummy folder structure to handle dict of lists
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`esnli.py` needs that extension of the dummy data testing.
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[Tests] Improved Error message for dummy folder structure
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Improved Error message
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[Features] Typo in generate_from_dict
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Change `isinstance` test in features when generating features from dict.
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[Dataset] Tester add mock function
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need to add an empty `extract()` function to make `hansard` dataset test work.
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Aborted PR - Fix tests
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@patrickvonplaten I've broken a bit the tests with #25 while simplifying and re-organizing the `load.py` and `download_manager.py` scripts. I'm trying to fix them here but I have a weird error, do you think you can have a look? ```bash (datasets) MacBook-Pro-de-Thomas:datasets thomwolf$ python -m pytest -sv ./test...
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[ "Wait I messed up my branch, let me clean this." ]
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[Testing] Improved testing structure
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This PR refactors the test design a bit and puts the mock download manager in the `utils` files as it is just a test helper class. as @mariamabarham pointed out, creating a dummy folder structure can be quite hard to grasp. This PR tries to change that to some extent. It follows the following logic for the `dumm...
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[ "Awesome!\r\nLet's have this in the doc at the end :-)" ]
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[Load] rename setup_module to prepare_module
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rename setup_module to prepare_module due to issues with pytests `setup_module` function. See: PR #59.
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[Cached Path] Better error message
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IMO returning `None` in this function only leads to confusion and is never helpful.
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Update to simplify some datasets conversion
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This PR updates the encoding of `Values` like `integers`, `boolean` and `float` to use python casting and avoid having to cast in the dataset scripts, as mentioned here: https://github.com/huggingface/nlp/pull/37#discussion_r420176626 We could also change (not included in this PR yet): - `supervized_keys` to make t...
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[ "Awesome! ", "Also we should convert `tf.io.gfile.exists` into `os.path.exists` , `tf.io.gfile.listdir`into `os.listdir` and `tf.io.gfile.glob` into `glob.glob` (will need to add `import glob`)", "> Also we should convert `tf.io.gfile.exists` into `os.path.exists` , `tf.io.gfile.listdir`into `os.listdir` and `...
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Fix tests
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@patrickvonplaten I've broken a bit the tests with #25 while simplifying and re-organizing the `load.py` and `download_manager.py` scripts. I'm trying to fix them here but I have a weird error, do you think you can have a look? ```bash (datasets) MacBook-Pro-de-Thomas:datasets thomwolf$ python -m pytest -sv ./test...
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[ "I can fix the tests tomorrow :-) ", "Very weird bug indeed! I think the problem was that when importing `setup_module` we overwrote `pytest's` setup_module function. I think this is the relevant code in pytest: https://github.com/pytest-dev/pytest/blob/9d2eabb397b059b75b746259daeb20ee5588f559/src/_pytest/python....
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[Datasets] Make master ready for datasets adding
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Add all relevant files so that datasets can now be added on master
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Better cached path
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### Changes: - The `cached_path` no longer returns None if the file is missing/the url doesn't work. Instead, it can raise `FileNotFoundError` (missing file), `ConnectionError` (no cache and unreachable url) or `ValueError` (parsing error) - Fix requests to firebase API that doesn't handle HEAD requests... - Allow c...
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[ "I should have read this PR before doing my own: https://github.com/huggingface/nlp/pull/62 :D \r\nwill close mine. Looks great :-) ", "> Awesome, this is really nice!\r\n> \r\n> By the way, we should improve the `cached_path` method of the `transformers` repo similarly, don't you think (@patrickvonplaten in part...
https://api.github.com/repos/huggingface/datasets/issues/65
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fix math dataset and xcopa
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- fixes math dataset and xcopa, uploaded both of the to S3
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[Datasets] ReadME
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[Dataset scripts] add all datasets scripts
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As mentioned, we can have the canonical datasets in the master. For now I also want to include all the data as present on S3 to make the synchronization easier when uploading new datastes. @mariamabarham @lhoestq @thomwolf - what do you think? If this is ok for you, I can sync up the master with the `add_datase...
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68
[CSV] re-add csv
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Re-adding csv under the datasets under construction to keep circle ci happy - will have to see how to include it in the tests. @lhoestq noticed that I accidently deleted it in https://github.com/huggingface/nlp/pull/63#discussion_r422263729.
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67
[Tests] Test files locally
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This PR adds a `aws` and a `local` decorator to the tests so that tests now run on the local datasets. By default, the `aws` is deactivated and `local` is activated and `slow` is deactivated, so that only 1 test per dataset runs on circle ci. **When local is activated all folders in `./datasets` are tested.** ...
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[ "Super nice, good job @patrickvonplaten!" ]
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fix cache dir in builder tests
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2020-05-10T18:39:21Z
2020-05-11T07:19:30Z
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minor fix
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[ "Nice, is that the reason one cannot rerun the tests without deleting the cache? \r\n", "Yes exactly. It was not using the temporary dir for tests." ]
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Beam datasets
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2020-05-07T11:04:32Z
2020-05-11T07:20:02Z
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# Beam datasets ## Intro Beam Datasets are using beam pipelines for preprocessing (basically lots of `.map` over objects called PCollections). The advantage of apache beam is that you can choose which type of runner you want to use to preprocess your data. The main runners are: - the `DirectRunner` to run the p...
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[ "Right now the changes are a bit hard to read as the one from #25 are also included. You can wait until #25 is merged before looking at the implementation details", "Nice!! I tested it a bit and works quite well. I will do a my review once the #25 will be merged because there are several overlaps.\r\n\r\nAt least...
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Metrics - refactoring, adding support for download and distributed metrics
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2020-05-03T23:00:17Z
2020-05-11T08:16:02Z
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Refactoring metrics to have a similar loading API than the datasets and improving the import system. # Import system The import system has ben upgraded. There are now three types of imports allowed: 1. `library` imports (identified as "absolute imports") ```python import seqeval ``` => we'll test all the impor...
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[ "Ok, this one seems to be ready to merge.", "> Really cool, I love it! I would just raise a tiny point, the distributive version of the metrics might not work properly with TF because it is a different way to do, why not to add a \"framework\" detection and raise warning when TF is used, saying something like \"n...
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Issue to read a local dataset
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2020-04-14T18:18:51Z
2020-05-11T18:55:23Z
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Hello, As proposed by @thomwolf, I open an issue to explain what I'm trying to do without success. What I want to do is to create and load a local dataset, the script I have done is the following: ```python import os import csv import nlp class BbcConfig(nlp.BuilderConfig): def __init__(self, **kwarg...
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[ "My first bug report ❤️\r\nLooking into this right now!", "Ok, there are some news, most good than bad :laughing: \r\n\r\nThe dataset script now became:\r\n```python\r\nimport csv\r\n\r\nimport nlp\r\n\r\n\r\nclass Bbc(nlp.GeneratorBasedBuilder):\r\n VERSION = nlp.Version(\"1.0.0\")\r\n\r\n def __init__(sel...
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71
Fix arrow writer for big datasets using writer_batch_size
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This PR fixes Yacine's bug. According to [this](https://github.com/apache/arrow/blob/master/docs/source/cpp/arrays.rst#size-limitations-and-recommendations), it is not recommended to have pyarrow arrays bigger than 2Go. Therefore I set a default batch size of 100 000 examples per batch. In general it shouldn't exce...
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[ "After a quick chat with Yacine : the 2Go test may not be sufficient actually, as I'm looking at the size of the array and not the size of the current_rows. If the test doesn't do the job I think I'll remove it and lower the batch size a bit to be sure that it never exceeds 2Go. I'll do more tests later" ]
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[README dummy data tests] README to better understand how the dummy data structure works
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In this PR a README.md is added to tests to shine more light on how the dummy data structure works. I try to explain the different possible cases. IMO the best way to understand the logic is to checkout the dummy data structure of the different datasets I mention in the README.md since those are the "edge cases". @...
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fix overflow check
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2020-05-12T09:38:01Z
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I did some tests and unfortunately the test ``` pa_array.nbytes > MAX_BATCH_BYTES ``` doesn't work. Indeed for a StructArray, `nbytes` can be less 2GB even if there is an overflow (it loops...). I don't think we can do a proper overflow test for the limit of 2GB... For now I replaced it with a sanity check on...
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pin flake 8
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Flake 8's new version does not like our format. Pinning the version for now.
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adding RACE, QASC, Super_glue and Tiny_shakespear datasets
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[ "I think rebasing to master will solve the quality test and the datasets that don't have a testing structure yet because of the manual download - maybe you can put them in `datasets under construction`? Then would also make it easier for me to see how to add tests for them :-) " ]
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New datasets
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[Tests] skip beam dataset tests for now
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For now we will skip tests for Beam Datasets
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[ "@lhoestq - I moved the wkipedia file to the \"correct\" folder. ", "Nice thanks !" ]
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[Convert] add new pattern
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New datasets
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add tests
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Tests for py_utils functions and for the BaseReader used to read from arrow and parquet. I also removed unused utils functions.
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WIP adding metrics
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Adding the following metrics as identified by @mariamabarham: 1. BLEU: BiLingual Evaluation Understudy: https://github.com/tensorflow/nmt/blob/master/nmt/scripts/bleu.py, https://github.com/chakki-works/sumeval/blob/master/sumeval/metrics/bleu.py (multilingual) 2. GLEU: Google-BLEU: https://github.com/cnap/gec-...
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[ "It's all about my metric stuff so I'll probably merge it unless you want to have a look.\r\n\r\nTook the occasion to remove the old doc and requirements.txt" ]
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Add nbytes + nexamples check
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### Save size and number of examples Now when you do `save_checksums`, it also create `cached_sizes.txt` right next to the checksum file. This new file stores the bytes sizes and the number of examples of each split that has been prepared and stored in the cache. Example: ``` # Cached sizes: <full_config_name> <n...
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[ "Looks good to me! Should we hard code those numbers in the config classes and make sure that when loading a dataset that the numbers match? " ]
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[Datasets] add ted_hrlr
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@thomwolf - After looking at `xnli` I think it's better to leave the translation features and add a `translation` key to make them work in our framework. The result looks like this: ![Screenshot from 2020-05-12 18-34-43](https://user-images.githubusercontent.com/23423619/81721933-ee1faf00-9480-11ea-9e95-d6557cbd0c...
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[TedHrLr] add left dummy data
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[Load => load_dataset] change naming
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Rename leftovers @thomwolf
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Add boolq
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I just added the dummy data for this dataset. This one was uses `tf.io.gfile.copy` to download the data but I added the support for custom download in the mock_download_manager. I also had to add a `tensorflow` dependency for tests.
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[ "Awesome :-) Thanks for adding the function to the Mock DL Manager" ]
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Add Flores
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Beautiful language for sure!
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[Paracrawl] add paracrawl
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- Huge dataset - took ~1h to download - Also this PR reformats all dataset scripts and adds `datasets` to `make style`
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Add wiki40b
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This one is a beam dataset that downloads files using tensorflow. I tested it on a small config and it works fine
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[ "Looks good to me. I have not really looked too much into the Beam Datasets yet though - so I think you can merge whenever you think is good for Beam datasets :-) " ]
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Add download gg drive
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We can now add datasets that download from google drive
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[ "awesome - so no manual downloaded needed here? ", "Yes exactly. It works like a standard download" ]
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Add list and inspect methods - cleanup hf_api
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Add a bunch of methods to easily list and inspect the processing scripts up-loaded on S3: ```python nlp.list_datasets() nlp.list_metrics() # Copy and prepare the scripts at `local_path` for easy inspection/modification. nlp.inspect_dataset(path, local_path) # Copy and prepare the scripts at `local_path` for easy...
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Cleanup notebooks and various fixes
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Fixes on dataset (more flexible) metrics (fix) and general clean ups
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Librispeech
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Add librispeech dataset and remove some useless content.
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[ "@jplu - I changed this weird archieve - iter method to something simpler. It's only one file to download anyways so I don't see the point of using weird iter methods...It's a huge file though :D 30 million lines of text. Took me quite some time to download :D " ]
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[Csv] add tests for csv dataset script
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Adds dummy data tests for csv.
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[ "@thomwolf - can you check and merge if ok? " ]
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[Cmrc 2018] fix cmrc2018
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Replace checksums files by Dataset infos json
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### Better verifications when loading a dataset I replaced the `urls_checksums` directory that used to contain `checksums.txt` and `cached_sizes.txt`, by a single file `dataset_infos.json`. It's just a dict `config_name` -> `DatasetInfo`. It simplifies and improves how verifications of checksums and splits sizes ...
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[ "Great! LGTM :-) ", "> Ok, really clean!\r\n> I like the logic (not a huge fan of using `_asdict_inner` but it makes sense).\r\n> I think it's a nice improvement!\r\n> \r\n> How should we update the files in the repo? Run a big job on a server or on somebody's computer who has most of the datasets already downloa...
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[Reddit] add reddit
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- Everything worked fine @mariamabarham. Made my computer nearly crash, but all seems to be working :-)
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lm1b
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Add lm1b dataset.
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[ "I might have a different version of `isort` than others. It seems like I'm always reordering the imports of others. But isn't really a problem..." ]
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[Manual downloads] add logic proposal for manual downloads and add wikihow
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Wikihow is an example that needs to manually download two files as stated in: https://github.com/mahnazkoupaee/WikiHow-Dataset. The user can then store these files under a hard-coded name: `wikihowAll.csv` and `wikihowSep.csv` in this case in a directory of his choice, e.g. `~/wikihow/manual_dir`. The dataset ca...
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[ "> Wikihow is an example that needs to manually download two files as stated in: https://github.com/mahnazkoupaee/WikiHow-Dataset.\r\n> \r\n> The user can then store these files under a hard-coded name: `wikihowAll.csv` and `wikihowSep.csv` in this case in a directory of his choice, e.g. `~/wikihow/manual_dir`.\r\n...
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Run save infos
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I replaced the old checksum file with the new `dataset_infos.json` by running the script on almost all the datasets we have. The only one that is still running on my side is the cornell dialog
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[ "Haha that cornell dialogue dataset - that ran for 3h on my computer as well. The `generate_examples` method in this script is one of the most inefficient code samples I've ever seen :D ", "Indeed it's been 3 hours already\r\n```73111 examples [3:07:48, 2.40 examples/s]```" ]
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[New structure on AWS] Adapt paths
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Some small changes so that we have the correct paths. @julien-c
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Add data dir test command
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[ "Nice - I think we can merge this. I will update the checksums for `wikihow` then as well" ]
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107
add writer_batch_size to GeneratorBasedBuilder
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2020-05-14T16:35:39Z
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You can now specify `writer_batch_size` in the builder arguments or directly in `load_dataset`
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[ "Awesome that's great!" ]
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108
convert can use manual dir as second argument
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@mariamabarham
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109
[Reclor] fix reclor
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- That's probably one me. Could have made the manual data test more flexible. @mariamabarham
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fix reddit tifu dummy data
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[Clean-up] remove under construction datastes
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Add per type scores in seqeval metric
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This PR add a bit more detail in the seqeval metric. Now the usage and output are: ```python import nlp met = nlp.load_metric('metrics/seqeval') references = [['O', 'O', 'O', 'B-MISC', 'I-MISC', 'I-MISC', 'O'], ['B-PER', 'I-PER', 'O']] predictions = [['O', 'O', 'B-MISC', 'I-MISC', 'I-MISC', 'I-MISC', 'O'], ['B-...
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[ "LGTM :-) Some small suggestions to shorten the code a bit :-) ", "Can you put the kwargs as normal kwargs instead of a dict? (And add them to the kwargs description As well)", "@thom Is-it what you meant?", "Yes and there is a dynamically generated doc string in the metric script KWARGS DESCRIPTION" ]
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Adding docstrings and some doc
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Some doc
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Couldn't reach CNN/DM dataset
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I can't get CNN / DailyMail dataset. ```python import nlp assert "cnn_dailymail" in [dataset.id for dataset in nlp.list_datasets()] cnn_dm = nlp.load_dataset('cnn_dailymail') ``` [Colab notebook](https://colab.research.google.com/drive/1zQ3bYAVzm1h0mw0yWPqKAg_4EUlSx5Ex?usp=sharing) gives following error ...
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[ "Installing from source (instead of Pypi package) solved the problem." ]
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🐛 Colab : type object 'pyarrow.lib.RecordBatch' has no attribute 'from_struct_array'
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I'm trying to load CNN/DM dataset on Colab. [Colab notebook](https://colab.research.google.com/drive/11Mf7iNhIyt6GpgA1dBEtg3cyMHmMhtZS?usp=sharing) But I meet this error : > AttributeError: type object 'pyarrow.lib.RecordBatch' has no attribute 'from_struct_array'
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[ "It's strange, after installing `nlp` on Colab, the `pyarrow` version seems fine from `pip` but not from python :\r\n\r\n```python\r\nimport pyarrow\r\n\r\n!pip show pyarrow\r\nprint(\"version = {}\".format(pyarrow.__version__))\r\n```\r\n\r\n> Name: pyarrow\r\nVersion: 0.17.0\r\nSummary: Python library for Apache ...
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🐛 `map` not working
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I'm trying to run a basic example (mapping function to add a prefix). [Here is the colab notebook I'm using.](https://colab.research.google.com/drive/1YH4JCAy0R1MMSc-k_Vlik_s1LEzP_t1h?usp=sharing) ```python import nlp dataset = nlp.load_dataset('squad', split='validation[:10%]') def test(sample): samp...
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[ "I didn't assign the output 🤦‍♂️\r\n\r\n```python\r\ndataset.map(test)\r\n```\r\n\r\nshould be :\r\n\r\n```python\r\ndataset = dataset.map(test)\r\n```" ]
https://api.github.com/repos/huggingface/datasets/issues/118
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118
❓ How to apply a map to all subsets ?
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2020-05-15T01:58:52Z
2020-05-15T07:05:49Z
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I'm working with CNN/DM dataset, where I have 3 subsets : `train`, `test`, `validation`. Should I apply my map function on the subsets one by one ? ```python import nlp cnn_dm = nlp.load_dataset('cnn_dailymail') for corpus in ['train', 'test', 'validation']: cnn_dm[corpus] = cnn_dm[corpus].map(my_f...
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[ "That's the way!" ]
https://api.github.com/repos/huggingface/datasets/issues/121
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121
make style
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2020-05-15T08:23:36Z
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112
Qa4mre - add dataset
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2020-05-14T22:17:51Z
2020-05-15T09:16:43Z
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Added dummy data test only for the first config. Will do the rest later. I had to do add some minor hacks to an important function to make it work. There might be a cleaner way to handle it - can you take a look @thomwolf ?
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123
[Tests] Local => aws
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## Change default Test from local => aws As a default we set` aws=True`, `Local=False`, `slow=False` ### 1. RUN_AWS=1 (default) This runs 4 tests per dataset script. a) Does the dataset script have a valid etag / Can it be reached on AWS? b) Can we load its `builder_class`? c) Can we load **all** dataset c...
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[ "For each dataset, If there exist a `dataset_info.json`, then the command `nlp-cli test path/to/my/dataset --al_configs` is successful only if the `dataset_infos.json` is correct. The infos are correct if the size and checksums of the downloaded file are correct, and if the number of examples in each split are corr...
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125
[Newsroom] add newsroom
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I checked it with the data link of the mail you forwarded @thomwolf => works well!
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