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https://github.com/huggingface/datasets/issues/575 | 575 | Couldn't reach certain URLs and for the ones that can be reached, code just blocks after downloading. | {
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"Update:\r\n\r\nThe imdb download completed after a long time (about 45 mins). Ofcourse once download loading was instantaneous. Also, the loaded object was of type `arrow_dataset`. \r\n\r\nThe urls for glue still doesn't work though.",
"Thanks for the report, I'll give a look!",
"I am also seeing a similar err... | 2020-09-04T21:46:25Z | 2020-09-22T10:41:36Z | 2020-09-22T10:41:36Z | NONE | null | null | Hi,
I'm following the [quick tour](https://huggingface.co/nlp/quicktour.html) and tried to load the glue dataset:
```
>>> from nlp import load_dataset
>>> dataset = load_dataset('glue', 'mrpc', split='train')
```
However, this ran into a `ConnectionError` saying it could not reach the URL (just pasting the la... | {
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https://github.com/huggingface/datasets/pull/574 | 574 | Add modules cache | {
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"All the tests pass on my side. Not sure if it is a cache issue or a pytest issue or a circleci issue.\r\nEDIT: I have the same error on google colab. Trying to fix that",
"I think I fixed it (sorry didn't notice you were on it as well)"
] | 2020-09-04T16:30:03Z | 2020-09-22T10:27:08Z | 2020-09-07T09:01:35Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/574... | As discusses in #554 , we should use a module cache directory outside of the python packages directory since we may not have write permissions.
I added a new HF_MODULES_PATH directory that is added to the python path when doing `import nlp`.
In this directory, a module `nlp_modules` is created so that datasets can ... | {
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https://github.com/huggingface/datasets/pull/573 | 573 | Faster caching for text dataset | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/573... | As mentioned in #546 and #548 , hashing `data_files` contents to get the cache directory name for a text dataset can take a long time.
To make it faster I changed the hashing so that it takes into account the `path` and the `last modified timestamp` of each data file, instead of iterating through the content of each... | {
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https://github.com/huggingface/datasets/pull/572 | 572 | Add CLUE Benchmark (11 datasets) | {
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"Thanks, @lhoestq! I've addressed the comments. \r\nAlso, I have tried to use `ClassLabel` [when possible](https://github.com/huggingface/nlp/pull/572/files#diff-1026ac7d7b78bf029cb0ebe63162c77dR297). Is there still somewhere else we can use `ClassLabel`? ",
"I believe CI failure is unrelated.",
"Great job! "
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https://github.com/huggingface/datasets/pull/571 | 571 | Serialization | {
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"I've added save/load for dataset dicts.\r\n\r\nI agree that in the future we should also have a way to save indexes too, and also the in-place history of transforms.\r\n\r\nAlso I understand that it would be cool to have the load function directly at the root of the library, but I'm not sure this should be inside ... | 2020-09-03T16:21:38Z | 2020-09-07T07:46:08Z | 2020-09-07T07:46:07Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/571... | I added `save` and `load` method to serialize/deserialize a dataset object in a folder.
It moves the arrow files there (or write them if the tables were in memory), and saves the pickle state in a json file `state.json`, except the info that are in a separate file `dataset_info.json`.
Example:
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import ... | {
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https://github.com/huggingface/datasets/pull/570 | 570 | add reuters21578 dataset | {
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https://github.com/huggingface/datasets/pull/569 | 569 | Revert "add reuters21578 dataset" | {
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https://github.com/huggingface/datasets/issues/568 | 568 | `metric.compute` throws `ArrowInvalid` error | {
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"Hmm might be related to what we are solving in #564",
"Could you try to update to `datasets>=1.0.0` (we changed the name of the library) and try again ?\r\nIf is was related to the distributed setup settings it must be fixed.\r\nIf it was related to empty metric inputs it's going to be fixed in #654 ",
"Closin... | 2020-09-03T04:56:57Z | 2020-10-05T16:33:53Z | 2020-10-05T16:33:53Z | NONE | null | null | I get the following error with `rouge.compute`. It happens only with distributed training, and it occurs randomly I can't easily reproduce it. This is using `nlp==0.4.0`
```
File "/home/beltagy/trainer.py", line 92, in validation_step
rouge_scores = rouge.compute(predictions=generated_str, references=gold_st... | {
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https://github.com/huggingface/datasets/pull/567 | 567 | Fix BLEURT metrics for backward compatibility | {
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https://github.com/huggingface/datasets/pull/566 | 566 | Remove logger pickling to fix gg colab issues | {
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It creates some issues in google colab right now.
Indeed by calling any `Dataset` method, the fingerprint update pickles the transform function, and as the logger comes with it, it results in... | {
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https://github.com/huggingface/datasets/issues/565 | 565 | No module named 'nlp.logging' | {
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"Thanks for reporting.\r\n\r\nApparently this is a versioning issue: the lib downloaded the `bleurt` script from the master branch where we did this change recently. We'll fix that in a new release this week or early next week. Cc @thomwolf \r\n\r\nUntil that, I'd suggest you to download the right bleurt folder fro... | 2020-09-02T13:49:50Z | 2020-09-03T07:29:50Z | 2020-09-03T07:29:50Z | NONE | null | null | Hi, I am using nlp version 0.4.0. Trying to use bleurt as an eval metric, however, the bleurt script imports nlp.logging which creates the following error. What am I missing?
```
>>> import nlp
2020-09-02 13:47:09.210310: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic l... | {
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https://github.com/huggingface/datasets/pull/564 | 564 | Wait for writing in distributed metrics | {
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"I agree this fix the problem for the CI where the files are always created in a new and clean temporary directory.\r\n\r\nHowever, in a general setting of a succession of fast distributed operation, the files could already exist from previous metrics runs but one process may still finish before another has even st... | 2020-09-02T12:58:50Z | 2020-09-09T09:13:23Z | 2020-09-09T09:13:22Z | MEMBER | false | {
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To fix that I added a custom locking mechanism that waits for the file to exist before trying to read it | {
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https://github.com/huggingface/datasets/pull/563 | 563 | [Large datasets] Speed up download and processing | {
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"Looks all good :)\r\nI rebased from master and added a test for parallel `map_nested`",
"you're da best"
] | 2020-09-02T10:31:54Z | 2020-09-09T09:03:33Z | 2020-09-09T09:03:32Z | MEMBER | false | {
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Currently:
- distributed downloads
- remove etag from datafiles hashes to spare a request when restarting a failed download | {
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https://github.com/huggingface/datasets/pull/562 | 562 | [Reproductibility] Allow to pin versions of datasets/metrics | {
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"Closing this one in favor of #584 "
] | 2020-09-02T10:30:13Z | 2023-09-24T09:49:42Z | 2020-09-09T13:04:54Z | MEMBER | true | {
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} | Repurpose the `version` attribute in datasets and metrics to let the user pin a specific version of datasets and metric scripts:
```
dataset = nlp.load_dataset('squad', version='1.0.0')
metric = nlp.load_metric('squad', version='1.0.0')
```
Notes:
- version number are the release version of the library
- curre... | {
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https://github.com/huggingface/datasets/pull/561 | 561 | Made `share_dataset` more readable | {
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https://github.com/huggingface/datasets/issues/560 | 560 | Using custom DownloadConfig results in an error | {
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"From my limited understanding, part of the issue seems related to the `prepare_module` and `download_and_prepare` functions each handling the case where no config is passed. For example, `prepare_module` does mutate the object passed and forces the flags `extract_compressed_file` and `force_extract` to `True`.\r\... | 2020-09-01T22:23:02Z | 2022-10-04T17:23:45Z | 2022-10-04T17:23:45Z | NONE | null | null | ## Version / Environment
Ubuntu 18.04
Python 3.6.8
nlp 0.4.0
## Description
Loading `imdb` dataset works fine when when I don't specify any `download_config` argument. When I create a custom `DownloadConfig` object and pass it to the `nlp.load_dataset` function, this results in an error.
## How to reprodu... | {
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https://github.com/huggingface/datasets/pull/559 | 559 | Adding the KILT knowledge source and tasks | {
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"Feel free to merge when you are happy with it @yjernite :-)"
] | 2020-09-01T20:05:13Z | 2020-09-04T18:05:47Z | 2020-09-04T18:05:47Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/559... | This adds Wikipedia pre-processed for KILT, as well as the task data. Only the question IDs are provided for TriviaQA, but they can easily be mapped back with:
```
import nlp
kilt_wikipedia = nlp.load_dataset('kilt_wikipedia')
kilt_tasks = nlp.load_dataset('kilt_tasks')
triviaqa = nlp.load_dataset('trivia_qa',... | {
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https://github.com/huggingface/datasets/pull/558 | 558 | Rerun pip install -e | {
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https://github.com/huggingface/datasets/pull/557 | 557 | Fix a few typos | {
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https://github.com/huggingface/datasets/pull/556 | 556 | Add DailyDialog | {
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https://arxiv.org/pdf/1710.03957.pdf
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https://github.com/huggingface/datasets/pull/555 | 555 | Upgrade pip in benchmark github action | {
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https://github.com/huggingface/datasets/issues/554 | 554 | nlp downloads to its module path | {
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"Indeed this is a known issue arising from the fact that we try to be compatible with cloupickle.\r\n\r\nDoes this also happen if you are installing in a virtual environment?",
"> Indeed this is a know issue with the fact that we try to be compatible with cloupickle.\r\n> \r\n> Does this also happen if you are in... | 2020-09-01T14:06:14Z | 2020-09-11T06:19:24Z | 2020-09-11T06:19:24Z | MEMBER | null | null | I am trying to package `nlp` for Nix, because it is now an optional dependency for `transformers`. The problem that I encounter is that the `nlp` library downloads to the module path, which is typically not writable in most package management systems:
```>>> import nlp
>>> squad_dataset = nlp.load_dataset('squad')
... | {
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https://github.com/huggingface/datasets/pull/553 | 553 | [Fix GitHub Actions] test adding tmate | {
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https://github.com/huggingface/datasets/pull/552 | 552 | Add multiprocessing | {
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"Logging looks like\r\n\r\n```\r\nDone writing 21900 indices in 3854400 bytes .\r\nProcess #0 will write at playground/tmp_00000_of_00004.arrow\r\nDone writing 21900 indices in 3854400 bytes .\r\nProcess #1 will write at playground/tmp_00001_of_00004.arrow\r\nDone writing 21900 indices in 3854400 bytes .\r\nProcess... | 2020-09-01T11:56:17Z | 2020-09-22T15:11:56Z | 2020-09-02T10:01:25Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/552... | Adding multiprocessing to `.map`
It works in 3 steps:
- shard the dataset in `num_proc` shards
- spawn one process per shard and call `map` on them
- concatenate the resulting datasets
Example of usage:
```python
from nlp import load_dataset
dataset = load_dataset("squad", split="train")
def function... | {
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https://github.com/huggingface/datasets/pull/551 | 551 | added HANS dataset | {
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https://github.com/huggingface/datasets/pull/550 | 550 | [BUGFIX] Solving mismatched checksum issue for the LinCE dataset (#539) | {
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"Thanks a lot for that!\r\nThe line you are mentioning is a bug indeed, do you mind fixing it at the same time?",
"No worries! \r\n\r\nI pushed right away the fix, but then I realized that the master branch already had it, so I ended up merging the master branch with lince locally and then overwriting the previou... | 2020-09-01T03:27:03Z | 2020-09-03T09:06:01Z | 2020-09-03T09:06:01Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/550... | Hi,
I have added the updated `dataset_infos.json` file for the LinCE benchmark. This update is to fix the mismatched checksum bug #539 for one of the datasets in the LinCE benchmark. To update the file, I run this command from the nlp root directory:
```
python nlp-cli test ./datasets/lince --save_infos --all_co... | {
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https://github.com/huggingface/datasets/pull/549 | 549 | Fix bleurt logging import | {
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"That’s a good point that we started to discuss internally as well. We should pin the dataset en metrics code by default indeed.\r\nLet’s update this in the coming release.",
"Ok closed this with #567 and we are working on a more general solution to pin dataset version in #562 (should be in the coming release)."
... | 2020-09-01T03:01:25Z | 2020-09-03T18:04:46Z | 2020-09-03T09:04:20Z | CONTRIBUTOR | false | {
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} | Bleurt started throwing an error in some code we have.
This looks like the fix but...
It's also unnerving that even a prebuilt docker image with pinned versions can be working 1 day and then fail the next (especially for production systems).
Any way for us to pin your metrics code so that they are guaranteed not... | {
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https://github.com/huggingface/datasets/pull/548 | 548 | [Breaking] Switch text loading to multi-threaded PyArrow loading | {
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"Awesome !\r\nAlso I was wondering if we should try to make the hashing of the `data_files` faster (it is used to build the cache directory of datasets like `text` or `json`). Right now it reads each file and hashes all of its data. We could simply hash the path and some metadata including the `time last modified` ... | 2020-08-31T15:15:41Z | 2020-09-08T10:19:58Z | 2020-09-08T10:19:57Z | MEMBER | false | {
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If it works ok, it would fix #546.
**Breaking change**:
The text lines now do not include final line-breaks anymore. | {
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https://github.com/huggingface/datasets/pull/547 | 547 | [Distributed] Making loading distributed datasets a bit safer | {
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https://github.com/huggingface/datasets/issues/546 | 546 | Very slow data loading on large dataset | {
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"When you load a text file for the first time with `nlp`, the file is converted into Apache Arrow format. Arrow allows to use memory-mapping, which means that you can load an arbitrary large dataset.\r\n\r\nNote that as soon as the conversion has been done once, the next time you'll load the dataset it will be much... | 2020-08-31T12:57:23Z | 2024-01-02T20:26:24Z | 2020-09-08T10:19:57Z | NONE | null | null | I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | {
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https://github.com/huggingface/datasets/issues/545 | 545 | New release coming up for this library | {
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"Update: release is planed mid-next week."
] | 2020-08-31T11:37:38Z | 2021-01-13T10:59:04Z | 2021-01-13T10:59:04Z | MEMBER | null | null | Hi all,
A few words on the roadmap for this library.
The next release will be a big one and is planed at the end of this week.
In addition to the support for indexed datasets (useful for non-parametric models like REALM, RAG, DPR, knn-LM and many other fast dataset retrieval technics), it will:
- have support f... | {
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https://github.com/huggingface/datasets/pull/544 | 544 | [Distributed] Fix load_dataset error when multiprocessing + add test | {
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https://github.com/huggingface/datasets/issues/543 | 543 | nlp.load_dataset is not safe for multi processes when loading from local files | {
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"I'll take a look!"
] | 2020-08-30T03:20:34Z | 2020-08-31T11:15:10Z | 2020-08-31T11:15:10Z | NONE | null | null | Loading from local files, e.g., `dataset = nlp.load_dataset('csv', data_files=['file_1.csv', 'file_2.csv'])`
concurrently from multiple processes, will raise `FileExistsError` from builder's line 430, https://github.com/huggingface/nlp/blob/6655008c738cb613c522deb3bd18e35a67b2a7e5/src/nlp/builder.py#L423-L438
Likel... | {
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https://github.com/huggingface/datasets/pull/542 | 542 | Add TensorFlow example | {
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https://github.com/huggingface/datasets/issues/541 | 541 | Best practices for training tokenizers with nlp | {
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"Docs that explain how to train a tokenizer with `datasets` are available here: https://huggingface.co/docs/tokenizers/training_from_memory#using-the-datasets-library"
] | 2020-08-29T12:06:49Z | 2022-10-04T17:28:04Z | 2022-10-04T17:28:04Z | NONE | null | null | Hi, thank you for developing this library.
What do you think are the best practices for training tokenizers using `nlp`? In the document and examples, I could only find pre-trained tokenizers used. | {
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https://github.com/huggingface/datasets/pull/540 | 540 | [BUGFIX] Fix Race Dataset Checksum bug | {
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"I'm not sure this would fix #537 .\r\nHowever your point about the missing `middle` data is right and we probably want to include these data as well.\r\nDo you think it would we worth having different configurations for this dataset for users who want to only load part of it (`high school` or `middle` or `all`) ?"... | 2020-08-29T07:00:10Z | 2020-09-18T11:42:20Z | 2020-09-18T11:42:20Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/540... | In #537 I noticed that there was a bug in checksum checking when I have tried to download the race dataset. The reason for this is that the current preprocessing was just considering the `high school` data and it was ignoring the `middle` one. This PR just fixes it :)
Moreover, I have added some descriptions. | {
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https://github.com/huggingface/datasets/issues/539 | 539 | [Dataset] `NonMatchingChecksumError` due to an update in the LinCE benchmark data | {
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"Hi @gaguilar \r\n\r\nIf you want to take care of this, it very simple, you just need to regenerate the `dataset_infos.json` file as indicated [in the doc](https://huggingface.co/nlp/share_dataset.html#adding-metadata) by [installing from source](https://huggingface.co/nlp/installation.html#installing-from-source) ... | 2020-08-28T19:55:51Z | 2020-09-03T16:34:02Z | 2020-09-03T16:34:01Z | CONTRIBUTOR | null | null | Hi,
There is a `NonMatchingChecksumError` error for the `lid_msaea` (language identification for Modern Standard Arabic - Egyptian Arabic) dataset from the LinCE benchmark due to a minor update on that dataset.
How can I update the checksum of the library to solve this issue? The error is below and it also appea... | {
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https://github.com/huggingface/datasets/pull/538 | 538 | [logging] Add centralized logging - Bump-up cache loads to warnings | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/538... | Add a `nlp.logging` module to set the global logging level easily. The verbosity level also controls the tqdm bars (disabled when set higher than INFO).
You can use:
```
nlp.logging.set_verbosity(verbosity: int)
nlp.logging.set_verbosity_info()
nlp.logging.set_verbosity_warning()
nlp.logging.set_verbosity_debug... | {
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https://github.com/huggingface/datasets/issues/537 | 537 | [Dataset] RACE dataset Checksums error | {
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"`NonMatchingChecksumError` means that the checksum of the downloaded file is not the expected one.\r\nEither the file you downloaded was corrupted along the way, or the host updated the file.\r\nCould you try to clear your cache and run `load_dataset` again ? If the error is still there, it means that there was an... | 2020-08-27T23:58:16Z | 2020-09-18T12:07:04Z | 2020-09-18T12:07:04Z | CONTRIBUTOR | null | null | Hi there, I just would like to use this awesome lib to perform a dataset fine-tuning on RACE dataset. I have performed the following steps:
```
dataset = nlp.load_dataset("race")
len(dataset["train"]), len(dataset["validation"])
```
But then I got the following error:
```
----------------------------------... | {
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https://github.com/huggingface/datasets/pull/536 | 536 | Fingerprint | {
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"I changed the way I implemented fingerprint updates to use decorator functions.\r\n\r\nI also added a new attribute called `_inplace_history` that stores the in-place history of transforms (like cast_, rename_columns, etc.). This history is useful to replay the changes that were done in-place when unpickling a dat... | 2020-08-27T16:27:09Z | 2020-08-31T14:20:40Z | 2020-08-31T14:20:39Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/536... | This PR is a continuation of #513 , in which many in-place functions were introduced or updated (cast_, flatten_) etc.
However the caching didn't handle these changes. Indeed the caching took into account only the previous cache file name of the table, and not the possible in-place transforms of the table.
To fix t... | {
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https://github.com/huggingface/datasets/pull/535 | 535 | Benchmarks | {
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To add a new tracked benchmark:
- create a new python benchmarking script in `./benchmarks/`. The script can use the utilities in `./benchmarks/utils.py` and should output a JSON file with results in `./benchmarks/results/`.
- add a new pipeline stage in [dvc.yaml](./dvc.yaml) w... | {
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https://github.com/huggingface/datasets/issues/534 | 534 | `list_datasets()` is broken. | {
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"Thanks for reporting !\r\nThis has been fixed in #475 and the fix will be available in the next release",
"What you can do instead to get the list of the datasets is call\r\n\r\n```python\r\nprint([dataset.id for dataset in nlp.list_datasets()])\r\n```",
"Thanks @lhoestq . "
] | 2020-08-26T08:19:01Z | 2020-08-27T06:31:11Z | 2020-08-27T06:31:11Z | NONE | null | null | version = '0.4.0'
`list_datasets()` is broken. It results in the following error :
```
In [3]: nlp.list_datasets()
Out[3]: ---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
~/.virtualenvs/san-lgUCsFg_/lib/py... | {
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https://github.com/huggingface/datasets/pull/533 | 533 | Fix ArrayXD for pyarrow 0.17.1 by using non fixed length list arrays | {
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https://github.com/huggingface/datasets/issues/532 | 532 | File exists error when used with TPU | {
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"I am facing probably facing similar issues with \r\n\r\n`wiki40b_en_100_0`",
"Could you try to run `dataset = load_dataset(\"text\", data_files=file_path, split=\"train\")` once before calling the script ?\r\n\r\nIt looks like several processes try to create the dataset in arrow format at the same time. If the d... | 2020-08-25T14:36:38Z | 2020-09-01T12:14:56Z | null | NONE | null | null | Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_language_modeling.py`](https://github.com/... | null | {
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https://github.com/huggingface/datasets/pull/531 | 531 | add concatenate_datasets to the docs | {
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https://github.com/huggingface/datasets/pull/530 | 530 | use ragged tensor by default | {
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"Yes I agree. Maybe something that lets specify different format depending on the column ? Especially to better control dtype and shape (and ragged for tf)\r\n\r\nOh and I forgot: this one should also fix the second issue found in #477 for the next release",
"I am running into the same issue with the error messag... | 2020-08-24T17:06:15Z | 2021-10-22T19:38:40Z | 2020-08-24T19:22:25Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/530... | I think it's better if it's clear whether the returned tensor is ragged or not when the type is set to tensorflow.
Previously it was a tensor (not ragged) if numpy could stack the output (which can change depending on the batch of example you take), which make things difficult to handle, as it may sometimes return a r... | {
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https://github.com/huggingface/datasets/pull/529 | 529 | Add MLSUM | {
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"Could you test to run the test using the changes in #527 and let me know if it fixes the issue ? If so I'll merge it and we'll be good to go :)",
"Hello, it does work on the fixing real dataset branch. Merci Quentin :)",
"Nice, glad to hear that :)\r\nde rien !"
] | 2020-08-24T16:18:35Z | 2020-08-26T08:04:11Z | 2020-08-26T08:04:11Z | CONTRIBUTOR | false | {
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So, I started a new branch because of a [rebase issue](https://github.com/huggingface/nlp/pull/463), sorry for the mess.
However, the command `pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_real_dataset_mlsum` still fails because there is no default language dataset : the s... | {
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https://github.com/huggingface/datasets/pull/528 | 528 | fix missing variable names in docs | {
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"The problem came from `default: ` that is rendered differently and hides the parameter names. I changed `default: ...` to `defaults to ...`"
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https://github.com/huggingface/datasets/pull/527 | 527 | Fix config used for slow test on real dataset | {
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To fix that I replaced it with one test with the first config of BUILDER_CONFIGS `test_load_real_dataset`, and another test that runs all of the configs in BUILDER_CONFIGS `test_load... | {
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https://github.com/huggingface/datasets/pull/526 | 526 | Returning None instead of "python" if dataset is unformatted | {
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"We have to change the tests to expect `None` instead of `python` then",
"Merging!"
] | 2020-08-24T12:10:35Z | 2020-08-24T12:50:43Z | 2020-08-24T12:50:42Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/issues/525 | 525 | wmt download speed example | {
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"Thanks for creating the issue :)\r\nThe download link for wmt-en-de raw looks like a mirror. We should use that instead of the current url.\r\nIs this mirror official ?\r\n\r\nAlso it looks like for `ro-en` it tried to download other languages. If we manage to only download the one that is asked it'd be cool\r\n\r... | 2020-08-21T23:29:06Z | 2022-10-04T17:45:39Z | 2022-10-04T17:45:39Z | CONTRIBUTOR | null | null | Continuing from the slack 1.0 roadmap thread w @lhoestq , I realized the slow downloads is only a thing sometimes. Here are a few examples, I suspect there are multiple issues. All commands were run from the same gcp us-central-1f machine.
```
import nlp
nlp.load_dataset('wmt16', 'de-en')
```
Downloads at 49.1 K... | {
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https://github.com/huggingface/datasets/issues/524 | 524 | Some docs are missing parameter names | {
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"Indeed, good catch!"
] | 2020-08-21T16:47:34Z | 2020-08-25T09:04:03Z | 2020-08-25T09:04:03Z | CONTRIBUTOR | null | null | See https://huggingface.co/nlp/master/package_reference/main_classes.html#nlp.Dataset.map. I believe this is because the parameter names are enclosed in backticks in the docstrings, maybe it's an old docstring format that doesn't work with the current Sphinx version. | {
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https://github.com/huggingface/datasets/pull/523 | 523 | Speed up Tokenization by optimizing cast_to_python_objects | {
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"I took your comments into account and added tests for `cast_to_python_objects`"
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It is used to cast numpy/pytorch/tensorflow/pandas objects to python lists, and it works recursively.
To avoid iterating over possibly long lists, it first checks if the first element that is not None has to be casted.
If the first element needs to be... | {
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https://github.com/huggingface/datasets/issues/522 | 522 | dictionnary typo in docs | {
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Fixed in this pr:
https://github.com/huggingface/nlp/pull/521 | {
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https://github.com/huggingface/datasets/pull/521 | 521 | Fix dictionnary (dictionary) typo | {
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"Hahah thanks Yonatan. It was not on purpose, we are just not very good at spelling :)"
] | 2020-08-20T07:09:02Z | 2020-08-20T07:52:04Z | 2020-08-20T07:52:04Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/520 | 520 | Transform references for sacrebleu | {
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"I think I agree @lhoestq so I pushed a change.\r\nThanks for your work on the library!"
] | 2020-08-20T00:26:55Z | 2020-08-20T09:30:54Z | 2020-08-20T09:30:53Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/520... | Currently it is impossible to use sacrebleu when len(predictions) != the number of references per prediction (very uncommon), due to a strange format expected by sacrebleu. If one passes in the data to `nlp.metric.compute()` in sacrebleu format, `nlp` throws an error due to mismatching lengths between predictions and r... | {
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https://github.com/huggingface/datasets/issues/519 | 519 | [BUG] Metrics throwing new error on master since 0.4.0 | {
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"Update - maybe this is only failing on bleu because I was not tokenizing inputs to the metric",
"Closing - seems to be just forgetting to tokenize. And found the helpful discussion in huggingface/evaluate#105 "
] | 2020-08-19T21:29:15Z | 2022-06-02T16:41:01Z | 2020-08-19T22:04:40Z | CONTRIBUTOR | null | null | The following error occurs when passing in references of type `List[List[str]]` to metrics like bleu.
Wasn't happening on 0.4.0 but happening now on master.
```
File "/usr/local/lib/python3.7/site-packages/nlp/metric.py", line 226, in compute
self.add_batch(predictions=predictions, references=references)
... | {
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https://github.com/huggingface/datasets/pull/518 | 518 | [METRICS, breaking] Refactor caching behavior, pickle/cloudpickle metrics and dataset, add tests on metrics | {
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"(test failure is unrelated)",
"As discussed with @thomwolf merging since the hyperparameter-search has been merged in transformers."
] | 2020-08-19T19:43:08Z | 2020-08-24T16:01:40Z | 2020-08-24T16:01:39Z | MEMBER | false | {
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Also add some tests on pickling, concurrent but separate metric instances and concurrent and distributed metric instances.
Changes significantly the caching behavior for the metri... | {
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https://github.com/huggingface/datasets/issues/517 | 517 | add MLDoc dataset | {
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"Any updates on this?",
"This request is still an open issue waiting to be addressed by any community member, @GuillemGSubies."
] | 2020-08-19T14:41:59Z | 2021-08-03T05:59:33Z | null | CONTRIBUTOR | null | null | Hi,
I am recommending that someone add MLDoc, a multilingual news topic classification dataset.
- Here's a link to the Github: https://github.com/facebookresearch/MLDoc
- and the paper: http://www.lrec-conf.org/proceedings/lrec2018/pdf/658.pdf
Looks like the dataset contains news stories in multiple languages... | null | {
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https://github.com/huggingface/datasets/pull/516 | 516 | [Breaking] Rename formated to formatted | {
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https://github.com/huggingface/datasets/pull/515 | 515 | Fix batched map for formatted dataset | {
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The happened during the creation of the `pa.Table`, since columns had different lengths. | {
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https://github.com/huggingface/datasets/issues/514 | 514 | dataset.shuffle(keep_in_memory=True) is never allowed | {
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"This seems to be fixed in #513 for the filter function, replacing `cache_file_name` with `indices_cache_file_name` in the assert. Although not for the `map()` function @thomwolf ",
"Maybe I'm a bit tired but I fail to see the issue here.\r\n\r\nSince `cache_file_name` is `None` by default, if you set `keep_in_me... | 2020-08-18T18:47:40Z | 2022-10-10T12:21:58Z | 2022-10-10T12:21:58Z | CONTRIBUTOR | null | null | As of commit ef4aac2, the usage of the parameter `keep_in_memory=True` is never possible: `dataset.select(keep_in_memory=True)`
The commit added the lines
```python
# lines 994-996 in src/nlp/arrow_dataset.py
assert (
not keep_in_memory or cache_file_name is None
), "Please use either... | {
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https://github.com/huggingface/datasets/pull/513 | 513 | [speedup] Use indices mappings instead of deepcopy for all the samples reordering methods | {
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"Ok I fixed `concatenate_datasets` and added tests\r\nFeel free to merge if it's good for you @thomwolf ",
"Ok, adding some benchmarks for map/filters and then I'll merge",
"Warning from pytorch that we should maybe consider at some point @lhoestq:\r\n```\r\n/__w/nlp/nlp/src/nlp/arrow_dataset.py:648: UserWarnin... | 2020-08-18T17:36:02Z | 2020-08-28T08:41:51Z | 2020-08-28T08:41:50Z | MEMBER | false | {
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Added a `flatten_indices` method which copy the dataset to a new table to remove the indices mapping with tests.
All the samples re-ordering/selecti... | {
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https://github.com/huggingface/datasets/pull/512 | 512 | Delete CONTRIBUTING.md | {
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https://github.com/huggingface/datasets/issues/511 | 511 | dataset.shuffle() and select() resets format. Intended? | {
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"Hi @vegarab yes feel free to open a discussion here.\r\n\r\nThis design choice was not very much thought about.\r\n\r\nSince `dataset.select()` (like all the method without a trailing underscore) is non-destructive and returns a new dataset it has most of its properties initialized from scratch (except the table a... | 2020-08-18T13:46:01Z | 2020-09-14T08:45:38Z | 2020-09-14T08:45:38Z | CONTRIBUTOR | null | null | Calling `dataset.shuffle()` or `dataset.select()` on a dataset resets its format set by `dataset.set_format()`. Is this intended or an oversight?
When working on quite large datasets that require a lot of preprocessing I find it convenient to save the processed dataset to file using `torch.save("dataset.pt")`. Later... | {
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https://github.com/huggingface/datasets/issues/510 | 510 | Version of numpy to use the library | {
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"Seems like this method was added in 1.17. I'll add a requirement on this.",
"Thank you so much. After upgrading the numpy library, it worked."
] | 2020-08-18T08:59:13Z | 2020-08-19T18:35:56Z | 2020-08-19T18:35:56Z | NONE | null | null | Thank you so much for your excellent work! I would like to use nlp library in my project. While importing nlp, I am receiving the following error `AttributeError: module 'numpy.random' has no attribute 'Generator'` Numpy version in my project is 1.16.0. May I learn which numpy version is used for the nlp library.
Th... | {
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https://github.com/huggingface/datasets/issues/509 | 509 | Converting TensorFlow dataset example | {
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"Do you want to convert a dataset script to the tfds format ?\r\nIf so, we currently have a comversion script nlp/commands/convert.py but it is a conversion script that goes from tfds to nlp.\r\nI think it shouldn't be too hard to do the changes in reverse (at some manual adjustments).\r\nIf you manage to make it w... | 2020-08-16T08:05:20Z | 2021-08-03T06:01:18Z | 2021-08-03T06:01:17Z | NONE | null | null | Hi,
I want to use TensorFlow datasets with this repo, I noticed you made some conversion script,
can you give a simple example of using it?
Thanks
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https://github.com/huggingface/datasets/issues/508 | 508 | TypeError: Receiver() takes no arguments | {
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"Which version of Apache Beam do you have (can you copy your full environment info here)?",
"apache-beam==2.23.0\r\nnlp==0.4.0\r\n\r\nFor me this was resolved by running the same python script on Linux (or really WSL). ",
"Do you manage to run a dummy beam pipeline with python on windows ? \r\nYou can test a du... | 2020-08-16T07:18:16Z | 2020-09-01T14:53:33Z | 2020-09-01T14:49:03Z | NONE | null | null | I am trying to load a wikipedia data set
```
import nlp
from nlp import load_dataset
dataset = load_dataset("wikipedia", "20200501.en", split="train", cache_dir=data_path, beam_runner='DirectRunner')
#dataset = load_dataset('wikipedia', '20200501.sv', cache_dir=data_path, beam_runner='DirectRunner')
```
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https://github.com/huggingface/datasets/issues/507 | 507 | Errors when I use | {
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"Looks like an issue with 3.0.2 transformers version. Works fine when I use \"master\" version of transformers."
] | 2020-08-14T21:03:57Z | 2020-08-14T21:39:10Z | 2020-08-14T21:39:10Z | NONE | null | null | I tried the following example code from https://huggingface.co/deepset/roberta-base-squad2 and got errors
I am using **transformers 3.0.2** code .
from transformers.pipelines import pipeline
from transformers.modeling_auto import AutoModelForQuestionAnswering
from transformers.tokenization_auto import AutoToke... | {
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https://github.com/huggingface/datasets/pull/506 | 506 | fix dataset.map for function without outputs | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/506... | As noticed in #505 , giving a function that doesn't return anything in `.map` raises an error because of an unreferenced variable.
I fixed that and added tests.
Thanks @avloss for reporting | {
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https://github.com/huggingface/datasets/pull/505 | 505 | tmp_file referenced before assignment | {
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"Thanks for reporting the issue ! I'm creating a new PR to fix it and add tests.\r\n(I'm doing a new PR because I know there's some other place where it needs to be fixed)",
"I'm closing this one as I created the other PR."
] | 2020-08-13T23:27:33Z | 2020-08-14T13:42:46Z | 2020-08-14T13:42:46Z | NONE | false | {
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https://github.com/huggingface/datasets/pull/504 | 504 | Added downloading to Hyperpartisan news detection | {
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"Thank you @ghomasHudson for making our dataset available! This is great!",
"The test passes since #527 :)"
] | 2020-08-13T21:53:46Z | 2020-08-27T08:18:41Z | 2020-08-27T08:18:41Z | CONTRIBUTOR | false | {
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Currently doesn't pass `test_load_real_dataset` - I'm using `self.config.name` which is `de... | {
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https://github.com/huggingface/datasets/pull/503 | 503 | CompGuessWhat?! 0.2.0 | {
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"I don't see any significant change in the dataset script (except the version value update), can you check that again please ?",
"Hi @aleSuglia , can you check that all the changes you wanted to do are in the dataset script ?",
"Hey sorry but I'm in the middle of a conference deadline. I'll let you know asap!",... | 2020-08-13T20:51:26Z | 2020-10-21T06:54:29Z | 2020-10-21T06:54:29Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/502 | 502 | Fix tokenizers caching | {
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"This should fix #501 and also the issue you sent me on slack @sgugger ."
] | 2020-08-13T15:53:37Z | 2020-08-19T13:37:19Z | 2020-08-19T13:37:18Z | MEMBER | false | {
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1. if a tokenizer has a regex pattern, then the caching would be inconsistent across sessions
2. if a tokenizer has a cache attribute that changes after some calls, the the caching would not work after cache updates
3. if a tokenizer is u... | {
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https://github.com/huggingface/datasets/issues/501 | 501 | Caching doesn't work for map (non-deterministic) | {
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"Thanks for reporting !\r\n\r\nTo store the cache file, we compute a hash of the function given in `.map`, using our own hashing function.\r\nThe hash doesn't seem to stay the same over sessions for the tokenizer.\r\nApparently this is because of the regex at `tokenizer.pat` is not well supported by our hashing fun... | 2020-08-12T20:20:07Z | 2022-08-08T11:02:23Z | 2020-08-24T16:34:35Z | NONE | null | null | The caching functionality doesn't work reliably when tokenizing a dataset. Here's a small example to reproduce it.
```python
import nlp
import transformers
def main():
ds = nlp.load_dataset("reddit", split="train[:500]")
tokenizer = transformers.AutoTokenizer.from_pretrained("gpt2")
def conv... | {
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https://github.com/huggingface/datasets/pull/500 | 500 | Use hnsw in wiki_dpr | {
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https://github.com/huggingface/datasets/pull/499 | 499 | Narrativeqa (with full text) | {
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"I took a look at the dummy data creation for this dataset.\r\n\r\nMaybe it didn't work on your side might be because `master.zip` and `narrativeqa_full_text.zip` are supposed to be directories and not acutal zip files in the dummy data folder.\r\n\r\nI managed to make it work with this `dummy_data.zip` file:\r\nht... | 2020-08-12T13:49:43Z | 2020-12-09T11:21:02Z | 2020-12-09T11:21:02Z | CONTRIBUTOR | false | {
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Few notes:
- Had some encoding issues using the default `open` so am using `open(encoding="latin-1"...` which seems to fix it. Looks fine.
- Can't get the dummy data to work. Currently putting stuff at:
... | {
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https://github.com/huggingface/datasets/pull/498 | 498 | dont use beam fs to save info for local cache dir | {
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Fix #490
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https://github.com/huggingface/datasets/pull/497 | 497 | skip header in PAWS-X | {
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I also updated the `dataset_infos.json` file that is used to verify the integrity of the generated splits (the number of examples was reduced by one).
Note that there are new fields in `dataset_infos.json` introduced in the latest release 0.4.0 corresponding to post processing info. I remove... | {
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https://github.com/huggingface/datasets/pull/496 | 496 | fix bad type in overflow check | {
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This is because we were not using the inferred features to do this check, and we could end up with arrays that don't match because of a type mismatch (`null` vs `string` for example).
This s... | {
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https://github.com/huggingface/datasets/pull/495 | 495 | stack vectors in pytorch and tensorflow | {
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I added support for stacked tensors for both pytorch and tensorflow.
For ragged tensors, they are stack... | {
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https://github.com/huggingface/datasets/pull/494 | 494 | Fix numpy stacking | {
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"This PR also fixed a bug where numpy arrays were returned instead of pytorch tensors when getting with a clumn as a key."
] | 2020-08-11T13:40:30Z | 2020-08-11T14:56:50Z | 2020-08-11T13:49:52Z | MEMBER | false | {
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I fixed that and added some tests.
There is another issue that still needs to be fixed though: when getting items using a column name as a key, pytorch tensors are not stacked (it outputs a list of tensors). This PR should help with the... | {
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https://github.com/huggingface/datasets/pull/493 | 493 | Fix wmt zh-en url | {
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"this doesn't work. I can decompress the file after download locally."
] | 2020-08-11T02:14:52Z | 2020-08-11T02:22:28Z | 2020-08-11T02:22:12Z | CONTRIBUTOR | false | {
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```
wget https://stuncorpusprod.blob.core.windows.net/corpusfiles/UNv1.0.en-zh.tar.gz.00
```
runs in 2 minutes. | {
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https://github.com/huggingface/datasets/issues/492 | 492 | nlp.Features does not distinguish between nullable and non-nullable types in PyArrow schema | {
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"In 0.4.0, the assertion in `concatenate_datasets ` is on the features, and not the schema.\r\nCould you try to update `nlp` ?\r\n\r\nAlso, since 0.4.0, you can use `dset_wikipedia.cast_(dset_books.features)` to avoid the schema cast hack.",
"Or maybe the assertion comes from elsewhere ?",
"I'm using the master... | 2020-08-11T00:27:46Z | 2020-08-26T16:17:19Z | 2020-08-26T16:17:19Z | CONTRIBUTOR | null | null | Here's the code I'm trying to run:
```python
dset_wikipedia = nlp.load_dataset("wikipedia", "20200501.en", split="train", cache_dir=args.cache_dir)
dset_wikipedia.drop(columns=["title"])
dset_wikipedia.features.pop("title")
dset_books = nlp.load_dataset("bookcorpus", split="train", cache_dir=args.cache_dir)
dse... | {
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https://github.com/huggingface/datasets/issues/491 | 491 | No 0.4.0 release on GitHub | {
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"I did the release on github, and updated the doc :)\r\nSorry for the delay",
"Thanks!"
] | 2020-08-10T23:59:57Z | 2020-08-11T16:50:07Z | 2020-08-11T16:50:07Z | CONTRIBUTOR | null | null | 0.4.0 was released on PyPi, but not on GitHub. This means [the documentation](https://huggingface.co/nlp/) is still displaying from 0.3.0, and that there's no tag to easily clone the 0.4.0 version of the repo. | {
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https://github.com/huggingface/datasets/issues/490 | 490 | Loading preprocessed Wikipedia dataset requires apache_beam | {
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`nlp.load_dataset("wikipedia", "20200501.en", split="train", dir="/tmp/wikipedia")`
gives an error if apache_beam is not installed, stemming from
https://github.com/huggingface/nlp/blob/38eb2413de54ee804b0be81781bd65ac4a748ced/src/nlp/builder.py#L981-L988
This succeeded without the dependency in ve... | {
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https://github.com/huggingface/datasets/issues/489 | 489 | ug | {
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"whoops",
"please delete this"
] | 2020-08-10T22:33:03Z | 2020-08-10T22:55:14Z | 2020-08-10T22:33:40Z | NONE | null | null | {
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https://github.com/huggingface/datasets/issues/488 | 488 | issues with downloading datasets for wmt16 and wmt19 | {
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"I found `UNv1.0.en-ru.tar.gz` here: https://conferences.unite.un.org/uncorpus/en/downloadoverview, so it can be reconstructed with:\r\n```\r\nwget -c https://stuncorpusprod.blob.core.windows.net/corpusfiles/UNv1.0.en-ru.tar.gz.00\r\nwget -c https://stuncorpusprod.blob.core.windows.net/corpusfiles/UNv1.0.en-ru.tar.... | 2020-08-10T17:32:51Z | 2022-10-04T17:46:59Z | 2022-10-04T17:46:58Z | CONTRIBUTOR | null | null | I have encountered multiple issues while trying to:
```
import nlp
dataset = nlp.load_dataset('wmt16', 'ru-en')
metric = nlp.load_metric('wmt16')
```
1. I had to do `pip install -e ".[dev]" ` on master, currently released nlp didn't work (sorry, didn't save the error) - I went back to the released version and no... | {
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https://github.com/huggingface/datasets/pull/487 | 487 | Fix elasticsearch result ids returning as strings | {
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"It looks like you need to rebase from master to fix the CI. Could you do that please ?"
] | 2020-08-10T13:37:11Z | 2020-08-31T10:42:46Z | 2020-08-31T10:42:46Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/487... | I am using the latest elasticsearch binary and master of nlp. For me elasticsearch searches failed because the resultant "id_" returned for searches are strings, but our library assumes them to be integers. | {
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https://github.com/huggingface/datasets/issues/486 | 486 | Bookcorpus data contains pretokenized text | {
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"Yes indeed it looks like some `'` and spaces are missing (for example in `dont` or `didnt`).\r\nDo you know if there exist some copies without this issue ?\r\nHow would you fix this issue on the current data exactly ? I can see that the data is raw text (not tokenized) so I'm not sure I understand how you would do... | 2020-08-09T06:53:24Z | 2022-10-04T17:44:33Z | 2022-10-04T17:44:33Z | CONTRIBUTOR | null | null | It seem that the bookcoprus data downloaded through the library was pretokenized with NLTK's Treebank tokenizer, which changes the text in incompatible ways to how, for instance, BERT's wordpiece tokenizer works. For example, "didn't" becomes "did" + "n't", and double quotes are changed to `` and '' for start and end q... | {
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https://github.com/huggingface/datasets/issues/485 | 485 | PAWS dataset first item is header | {
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import nlp
dataset = nlp.load_dataset('xtreme', 'PAWS-X.en')
dataset['test'][0]
```
prints the following
```
{'label': 'label', 'sentence1': 'sentence1', 'sentence2': 'sentence2'}
```
dataset['test'][0] should probably be the first item in the dataset, not just a dictionary mapping the column names t... | {
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https://github.com/huggingface/datasets/pull/484 | 484 | update mirror for RT dataset | {
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"Thanks for adding this mirror link :)\r\n\r\nCould you run the following command to update the json file `dataset_infos.json` used to verify the integrity of the downloaded file ?\r\n\r\n```\r\nnlp-cli test ./datasets/rotten_tomatoes --save_infos --ignore_verifications\r\n```",
"done! @lhoestq ",
"the build_do... | 2020-08-07T15:25:45Z | 2020-08-24T13:33:37Z | 2020-08-24T13:33:37Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/issues/483 | 483 | rotten tomatoes movie review dataset taken down | {
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"found a mirror: https://storage.googleapis.com/seldon-datasets/sentence_polarity_v1/rt-polaritydata.tar.gz",
"fixed in #484 ",
"Closing this one. Thanks again @jxmorris12 for taking care of this :)"
] | 2020-08-07T15:12:01Z | 2020-09-08T09:36:34Z | 2020-09-08T09:36:33Z | CONTRIBUTOR | null | null | In an interesting twist of events, the individual who created the movie review seems to have left Cornell, and their webpage has been removed, along with the movie review dataset (http://www.cs.cornell.edu/people/pabo/movie-review-data/rt-polaritydata.tar.gz). It's not downloadable anymore. | {
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https://github.com/huggingface/datasets/issues/482 | 482 | Bugs : dataset.map() is frozen on ELI5 | {
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"This comes from an overflow in pyarrow's array.\r\nIt is stuck inside the loop that reduces the batch size to avoid the overflow.\r\nI'll take a look",
"I created a PR to fix the issue.\r\nIt was due to an overflow check that handled badly an empty list.\r\n\r\nYou can try the changes by using \r\n```\r\n!pip in... | 2020-08-07T08:23:35Z | 2023-04-06T09:39:59Z | 2020-08-11T23:55:15Z | NONE | null | null | Hi Huggingface Team!
Thank you guys once again for this amazing repo.
I have tried to prepare ELI5 to train with T5, based on [this wonderful notebook of Suraj Patil](https://github.com/patil-suraj/exploring-T5/blob/master/T5_on_TPU.ipynb)
However, when I run `dataset.map()` on ELI5 to prepare `input_text, ta... | {
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https://github.com/huggingface/datasets/pull/481 | 481 | Apply utf-8 encoding to all datasets | {
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"Not sure why the AWS test is failing - perhaps I made too many concurrent CI builds 😢. Can someone please rerun the CI to check the error is not on my end?",
"I pushed an improved docstring and the unit tests now pass, which suggests the previous failure on AWS was simply a timeout error. \r\n\r\nFor some reaso... | 2020-08-06T20:02:09Z | 2020-08-20T08:16:08Z | 2020-08-20T08:16:08Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/481... | ## Description
This PR applies utf-8 encoding for all instances of `with open(...) as f` to all Python files in `datasets/`. As suggested by @thomwolf in #468 , we use regular expressions and the following function
```python
def apply_encoding_on_file_open(filepath: str):
"""Apply UTF-8 encoding for all insta... | {
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https://github.com/huggingface/datasets/pull/480 | 480 | Column indexing hotfix | {
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"Looks good to me as well but we'll want to add a test indeed.\r\nYou can add one if you have time @TevenLeScao.\r\nOtherwise, we'll do it when we are back with Quentin. ",
"I fixed it in #494 "
] | 2020-08-06T11:37:05Z | 2023-09-24T09:49:33Z | 2020-08-12T08:36:10Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/479 | 479 | add METEOR metric | {
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"Really nice !\r\nThanks for adding this one.\r\n\r\nI noticed that there are some '-' that are left in the description in the middle of some workds. It migh come from copy-pasting the pdf paper. ex: `im-provement`. Could you fix that please ?",
"@lhoestq \r\nLinebreaks have been removed! Note that there are stil... | 2020-08-05T23:13:00Z | 2020-08-19T13:39:09Z | 2020-08-19T13:39:09Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/479... | Added the METEOR metric. Can be used like this:
```python
import nlp
meteor = nlp.load_metric('metrics/meteor')
meteor.compute(["some string", "some string"], ["some string", "some similar string"])
# {'meteor': 0.6411637931034483}
meteor.add("some string", "some string")
meteor.add('some string", "some simila... | {
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https://github.com/huggingface/datasets/issues/478 | 478 | Export TFRecord to GCP bucket | {
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"Nevermind, I restarted my python session and it worked fine...\r\n\r\n---\r\n\r\nI had an authentification error, and I authenticated from another terminal. After that, no more error but it was not working. Restarting the sessions makes it work :)"
] | 2020-08-05T01:08:32Z | 2020-08-05T01:21:37Z | 2020-08-05T01:21:36Z | NONE | null | null | Previously, I was writing TFRecords manually to GCP bucket with : `with tf.io.TFRecordWriter('gs://my_bucket/x.tfrecord')`
Since `0.4.0` is out with the `export()` function, I tried it. But it seems TFRecords cannot be directly written to GCP bucket.
`dataset.export('local.tfrecord')` works fine,
but `dataset.... | {
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https://github.com/huggingface/datasets/issues/477 | 477 | Overview.ipynb throws exceptions with nlp 0.4.0 | {
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"Thanks for reporting this issue\r\n\r\nThere was a bug where numpy arrays would get returned instead of tensorflow tensors.\r\nThis is fixed on master.\r\n\r\nI tried to re-run the colab and encountered this error instead:\r\n\r\n```\r\nAttributeError: 'tensorflow.python.framework.ops.EagerTensor' object has no at... | 2020-08-04T23:18:15Z | 2021-08-03T06:02:15Z | 2021-08-03T06:02:15Z | NONE | null | null | with nlp 0.4.0, the TensorFlow example in Overview.ipynb throws the following exceptions:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-5-48907f2ad433> in <module>
----> 1 features = {x: trai... | {
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https://github.com/huggingface/datasets/pull/476 | 476 | CheckList | {
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"> Also, a little out of my depth there, but would there be a way to have the default pip install checklist command not require mysql and mariadb to be installed? Feels like that might be a source of confusion for users.\r\n\r\nI removed the pattern dependency, mysql is not a requirement anymore. I'm not sure where... | 2020-08-04T18:32:05Z | 2022-10-03T09:43:37Z | 2022-10-03T09:43:37Z | NONE | false | {
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} | Sorry for the large pull request.
- Added checklists as datasets. I can't run `test_load_real_dataset` (see #474), but I can load the datasets successfully as shown in the example notebook
- Added a checklist wrapper | {
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