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https://api.github.com/repos/huggingface/datasets/issues/556 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/556/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/556/comments | https://api.github.com/repos/huggingface/datasets/issues/556/events | https://github.com/huggingface/datasets/pull/556 | 690,218,423 | MDExOlB1bGxSZXF1ZXN0NDc3MTQ0MTky | 556 | Add DailyDialog | {
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https://arxiv.org/pdf/1710.03957.pdf
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https://api.github.com/repos/huggingface/datasets/issues/554 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/554/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/554/comments | https://api.github.com/repos/huggingface/datasets/issues/554/events | https://github.com/huggingface/datasets/issues/554 | 690,173,214 | MDU6SXNzdWU2OTAxNzMyMTQ= | 554 | nlp downloads to its module path | {
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} | 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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"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... |
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https://api.github.com/repos/huggingface/datasets/issues/552 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/552/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/552/comments | https://api.github.com/repos/huggingface/datasets/issues/552/events | https://github.com/huggingface/datasets/pull/552 | 690,079,429 | MDExOlB1bGxSZXF1ZXN0NDc3MDI4MzMx | 552 | Add multiprocessing | {
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} | 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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"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... |
https://api.github.com/repos/huggingface/datasets/issues/551 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/551/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/551/comments | https://api.github.com/repos/huggingface/datasets/issues/551/events | https://github.com/huggingface/datasets/pull/551 | 690,034,762 | MDExOlB1bGxSZXF1ZXN0NDc2OTkwNjAw | 551 | added HANS dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/550 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/550/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/550/comments | https://api.github.com/repos/huggingface/datasets/issues/550/events | https://github.com/huggingface/datasets/pull/550 | 689,775,914 | MDExOlB1bGxSZXF1ZXN0NDc2NzgyNDY1 | 550 | [BUGFIX] Solving mismatched checksum issue for the LinCE dataset (#539) | {
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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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"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... |
https://api.github.com/repos/huggingface/datasets/issues/549 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/549/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/549/comments | https://api.github.com/repos/huggingface/datasets/issues/549/events | https://github.com/huggingface/datasets/pull/549 | 689,766,465 | MDExOlB1bGxSZXF1ZXN0NDc2Nzc0OTI1 | 549 | Fix bleurt logging import | {
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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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"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)."
... |
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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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"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` ... |
https://api.github.com/repos/huggingface/datasets/issues/547 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/547/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/547/comments | https://api.github.com/repos/huggingface/datasets/issues/547/events | https://github.com/huggingface/datasets/pull/547 | 689,268,589 | MDExOlB1bGxSZXF1ZXN0NDc2MzQ4OTk5 | 547 | [Distributed] Making loading distributed datasets a bit safer | {
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https://api.github.com/repos/huggingface/datasets/issues/546 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/546/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/546/comments | https://api.github.com/repos/huggingface/datasets/issues/546/events | https://github.com/huggingface/datasets/issues/546 | 689,186,526 | MDU6SXNzdWU2ODkxODY1MjY= | 546 | Very slow data loading on large dataset | {
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} | 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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"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... |
https://api.github.com/repos/huggingface/datasets/issues/545 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/545/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/545/comments | https://api.github.com/repos/huggingface/datasets/issues/545/events | https://github.com/huggingface/datasets/issues/545 | 689,138,878 | MDU6SXNzdWU2ODkxMzg4Nzg= | 545 | New release coming up for this library | {
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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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"Update: release is planed mid-next week."
] |
https://api.github.com/repos/huggingface/datasets/issues/544 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/544/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/544/comments | https://api.github.com/repos/huggingface/datasets/issues/544/events | https://github.com/huggingface/datasets/pull/544 | 689,062,519 | MDExOlB1bGxSZXF1ZXN0NDc2MTc4MDM2 | 544 | [Distributed] Fix load_dataset error when multiprocessing + add test | {
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} | 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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"I'll take a look!"
] |
https://api.github.com/repos/huggingface/datasets/issues/542 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/542/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/542/comments | https://api.github.com/repos/huggingface/datasets/issues/542/events | https://github.com/huggingface/datasets/pull/542 | 688,555,036 | MDExOlB1bGxSZXF1ZXN0NDc1NzkyNTY0 | 542 | Add TensorFlow example | {
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} | Update the Quick Tour documentation in order to add the TensorFlow equivalent source code for the classification example. Now it is possible to select either the code in PyTorch or in TensorFlow in the Quick tour. | {
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https://api.github.com/repos/huggingface/datasets/issues/541 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/541/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/541/comments | https://api.github.com/repos/huggingface/datasets/issues/541/events | https://github.com/huggingface/datasets/issues/541 | 688,521,224 | MDU6SXNzdWU2ODg1MjEyMjQ= | 541 | Best practices for training tokenizers with nlp | {
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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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"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"
] |
https://api.github.com/repos/huggingface/datasets/issues/540 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/540/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/540/comments | https://api.github.com/repos/huggingface/datasets/issues/540/events | https://github.com/huggingface/datasets/pull/540 | 688,475,884 | MDExOlB1bGxSZXF1ZXN0NDc1NzMzNzMz | 540 | [BUGFIX] Fix Race Dataset Checksum bug | {
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} | 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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"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`) ?"... |
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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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"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) ... |
https://api.github.com/repos/huggingface/datasets/issues/538 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/538/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/538/comments | https://api.github.com/repos/huggingface/datasets/issues/538/events | https://github.com/huggingface/datasets/pull/538 | 688,015,912 | MDExOlB1bGxSZXF1ZXN0NDc1MzU3MjY2 | 538 | [logging] Add centralized logging - Bump-up cache loads to warnings | {
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} | 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://api.github.com/repos/huggingface/datasets/issues/537 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/537/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/537/comments | https://api.github.com/repos/huggingface/datasets/issues/537/events | https://github.com/huggingface/datasets/issues/537 | 687,614,699 | MDU6SXNzdWU2ODc2MTQ2OTk= | 537 | [Dataset] RACE dataset Checksums error | {
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"name": "dataset bug",
"color": "2edb81",
"default": false,
"description": "A bug in a dataset script provided in the library"
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] | closed | false | null | [] | 9 | 2020-08-27T23:58:16 | 2020-09-18T12:07:04 | 2020-09-18T12:07:04 | CONTRIBUTOR | {
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} | 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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"`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... |
https://api.github.com/repos/huggingface/datasets/issues/536 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/536/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/536/comments | https://api.github.com/repos/huggingface/datasets/issues/536/events | https://github.com/huggingface/datasets/pull/536 | 687,378,332 | MDExOlB1bGxSZXF1ZXN0NDc0ODE0NzY1 | 536 | Fingerprint | {
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} | 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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"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... |
https://api.github.com/repos/huggingface/datasets/issues/535 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/535/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/535/comments | https://api.github.com/repos/huggingface/datasets/issues/535/events | https://github.com/huggingface/datasets/pull/535 | 686,238,315 | MDExOlB1bGxSZXF1ZXN0NDczODM3Njg0 | 535 | Benchmarks | {
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} | Adding some benchmarks with DVC/CML
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://api.github.com/repos/huggingface/datasets/issues/534 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/534/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/534/comments | https://api.github.com/repos/huggingface/datasets/issues/534/events | https://github.com/huggingface/datasets/issues/534 | 686,115,912 | MDU6SXNzdWU2ODYxMTU5MTI= | 534 | `list_datasets()` is broken. | {
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} | 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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"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 . "
] |
https://api.github.com/repos/huggingface/datasets/issues/533 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/533/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/533/comments | https://api.github.com/repos/huggingface/datasets/issues/533/events | https://github.com/huggingface/datasets/pull/533 | 685,585,914 | MDExOlB1bGxSZXF1ZXN0NDczMjg4OTgx | 533 | Fix ArrayXD for pyarrow 0.17.1 by using non fixed length list arrays | {
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} | 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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"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... |
https://api.github.com/repos/huggingface/datasets/issues/531 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/531/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/531/comments | https://api.github.com/repos/huggingface/datasets/issues/531/events | https://github.com/huggingface/datasets/pull/531 | 685,291,036 | MDExOlB1bGxSZXF1ZXN0NDczMDM4ODc4 | 531 | add concatenate_datasets to the docs | {
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} | 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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"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... |
https://api.github.com/repos/huggingface/datasets/issues/529 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/529/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/529/comments | https://api.github.com/repos/huggingface/datasets/issues/529/events | https://github.com/huggingface/datasets/pull/529 | 684,797,157 | MDExOlB1bGxSZXF1ZXN0NDcyNjI2MDY4 | 529 | Add MLSUM | {
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} | Hello (again :) !),
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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"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 !"
] |
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"The problem came from `default: ` that is rendered differently and hides the parameter names. I changed `default: ...` to `defaults to ...`"
] |
https://api.github.com/repos/huggingface/datasets/issues/527 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/527/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/527/comments | https://api.github.com/repos/huggingface/datasets/issues/527/events | https://github.com/huggingface/datasets/pull/527 | 684,632,930 | MDExOlB1bGxSZXF1ZXN0NDcyNDg4MzUy | 527 | Fix config used for slow test on real dataset | {
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} | As noticed in #470, #474, #476, #504 , the slow test `test_load_real_dataset` couldn't run on datasets that require config parameters.
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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} | Following the discussion on Slack, this small fix ensures that calling `dataset.set_format(type=dataset.format["type"])` works properly. Slightly breaking as calling `dataset.format` when the dataset is unformatted will return `None` instead of `python`. | {
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"We have to change the tests to expect `None` instead of `python` then",
"Merging!"
] |
https://api.github.com/repos/huggingface/datasets/issues/525 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/525/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/525/comments | https://api.github.com/repos/huggingface/datasets/issues/525/events | https://github.com/huggingface/datasets/issues/525 | 683,875,483 | MDU6SXNzdWU2ODM4NzU0ODM= | 525 | wmt download speed example | {
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} | 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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"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... |
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"followers_url": "https://api.github.com... | [] | closed | false | null | [] | 1 | 2020-08-21T16:47:34 | 2020-08-25T09:04:03 | 2020-08-25T09:04:03 | CONTRIBUTOR | {
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} | 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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"Indeed, good catch!"
] |
https://api.github.com/repos/huggingface/datasets/issues/523 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/523/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/523/comments | https://api.github.com/repos/huggingface/datasets/issues/523/events | https://github.com/huggingface/datasets/pull/523 | 682,573,232 | MDExOlB1bGxSZXF1ZXN0NDcwNzkxMjA1 | 523 | Speed up Tokenization by optimizing cast_to_python_objects | {
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} | I changed how `cast_to_python_objects` works to make it faster.
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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"I took your comments into account and added tests for `cast_to_python_objects`"
] |
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Fixed in this pr:
https://github.com/huggingface/nlp/pull/521 | {
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"Thanks!"
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"Hahah thanks Yonatan. It was not on purpose, we are just not very good at spelling :)"
] |
https://api.github.com/repos/huggingface/datasets/issues/520 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/520/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/520/comments | https://api.github.com/repos/huggingface/datasets/issues/520/events | https://github.com/huggingface/datasets/pull/520 | 682,264,839 | MDExOlB1bGxSZXF1ZXN0NDcwNTI4MDE0 | 520 | Transform references for sacrebleu | {
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} | 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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"I think I agree @lhoestq so I pushed a change.\r\nThanks for your work on the library!"
] |
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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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"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 "
] |
https://api.github.com/repos/huggingface/datasets/issues/518 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/518/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/518/comments | https://api.github.com/repos/huggingface/datasets/issues/518/events | https://github.com/huggingface/datasets/pull/518 | 682,131,165 | MDExOlB1bGxSZXF1ZXN0NDcwNDE0ODE1 | 518 | [METRICS, breaking] Refactor caching behavior, pickle/cloudpickle metrics and dataset, add tests on metrics | {
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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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"(test failure is unrelated)",
"As discussed with @thomwolf merging since the hyperparameter-search has been merged in transformers."
] |
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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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"Any updates on this?",
"This request is still an open issue waiting to be addressed by any community member, @GuillemGSubies."
] |
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The happened during the creation of the `pa.Table`, since columns had different lengths. | {
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} | 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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"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... |
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} | Use an indices mapping instead of rewriting the dataset for all the samples re-ordering/selection methods (`select`, `sort`, `shuffle`, `shard`, `train_test_split`).
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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"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... |
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"😱",
"Yeah, this is spammy behavior. I've reported the user handle."
] | |
https://api.github.com/repos/huggingface/datasets/issues/511 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/511/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/511/comments | https://api.github.com/repos/huggingface/datasets/issues/511/events | https://github.com/huggingface/datasets/issues/511 | 681,055,553 | MDU6SXNzdWU2ODEwNTU1NTM= | 511 | dataset.shuffle() and select() resets format. Intended? | {
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} | 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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"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... |
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} | 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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"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."
] |
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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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"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... |
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```
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')
```
Th... | {
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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... |
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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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"Looks like an issue with 3.0.2 transformers version. Works fine when I use \"master\" version of transformers."
] |
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} | 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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"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."
] |
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} | Following the discussion on Slack and #349, I've updated the hyperpartisan dataset to pull directly from Zenodo rather than manual install, which should make this dataset much more accessible. Many thanks to @johanneskiesel !
Currently doesn't pass `test_load_real_dataset` - I'm using `self.config.name` which is `de... | {
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"Thank you @ghomasHudson for making our dataset available! This is great!",
"The test passes since #527 :)"
] |
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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!",... |
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} | I've found some cases where the caching didn't work properly for tokenizers:
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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"This should fix #501 and also the issue you sent me on slack @sgugger ."
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```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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"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... |
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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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"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... |
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Fix #490
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} | This should fix #485
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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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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} | When the format of a dataset is set to pytorch or tensorflow, and if the dataset has vectors in it, they were not stacked together as tensors when calling `dataset[i:i + batch_size][column]` or `dataset[column]`.
I added support for stacked tensors for both pytorch and tensorflow.
For ragged tensors, they are stack... | {
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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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"This PR also fixed a bug where numpy arrays were returned instead of pytorch tensors when getting with a clumn as a key."
] |
https://api.github.com/repos/huggingface/datasets/issues/493 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/493/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/493/comments | https://api.github.com/repos/huggingface/datasets/issues/493/events | https://github.com/huggingface/datasets/pull/493 | 676,527,351 | MDExOlB1bGxSZXF1ZXN0NDY1ODIxOTA0 | 493 | Fix wmt zh-en url | {
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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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"this doesn't work. I can decompress the file after download locally."
] |
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"total": 0,
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```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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"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... |
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"total": 0,
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} | 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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"I did the release on github, and updated the doc :)\r\nSorry for the delay",
"Thanks!"
] |
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"total": 0,
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} | Running
`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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] | |
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```
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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"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.... |
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} | 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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"It looks like you need to rebase from master to fix the CI. Could you do that please ?"
] |
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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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"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... | |
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} | 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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"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 :)"
] |
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} | 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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"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... |
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} | ## 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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"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... |
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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 "
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```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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"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... |
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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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"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 :)"
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---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-5-48907f2ad433> in <module>
----> 1 features = {x: trai... | {
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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... |
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- 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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"> 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... |
https://api.github.com/repos/huggingface/datasets/issues/475 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/475/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/475/comments | https://api.github.com/repos/huggingface/datasets/issues/475/events | https://github.com/huggingface/datasets/pull/475 | 672,884,595 | MDExOlB1bGxSZXF1ZXN0NDYyODQzMzQz | 475 | misc. bugs and quality of life | {
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} | A few misc. bugs and QOL improvements that I've come across in using the library. Let me know if you don't like any of them and I can adjust/remove them.
1. Printing datasets without a description field throws an error when formatting the `single_line_description`. This fixes that, and also adds some formatting to t... | {
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"Cool thanks, I made those changes. LMK if you think it's ready for merge.",
"Ok to merge for me"
] |
https://api.github.com/repos/huggingface/datasets/issues/474 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/474/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/474/comments | https://api.github.com/repos/huggingface/datasets/issues/474/events | https://github.com/huggingface/datasets/issues/474 | 672,407,330 | MDU6SXNzdWU2NzI0MDczMzA= | 474 | test_load_real_dataset when config has BUILDER_CONFIGS that matter | {
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} | It a dataset has custom `BUILDER_CONFIGS` with non-keyword arguments (or keyword arguments with non default values), the config is not loaded during the test and causes an error.
I think the problem is that `test_load_real_dataset` calls `load_dataset` with `data_dir=temp_data_dir` ([here](https://github.com/huggingfa... | {
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"The `data_dir` parameter has been removed. Now the error is `ValueError: Config name is missing`\r\n\r\nAs mentioned in #470 I think we can have one test with the first config of BUILDER_CONFIGS, and another test that runs all of the configs in BUILDER_CONFIGS",
"This was fixed in #527 \r\n\r\nClosing this one, ... |
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"This PR was already approved by @lhoestq in #456 . This one just make style to remove some typos"
] |
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Fix partially:
- #353
Subsequent PR after:
- #449 | {
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https://api.github.com/repos/huggingface/datasets/issues/470 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/470/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/470/comments | https://api.github.com/repos/huggingface/datasets/issues/470/events | https://github.com/huggingface/datasets/pull/470 | 671,952,276 | MDExOlB1bGxSZXF1ZXN0NDYyMDc0MzQ0 | 470 | Adding IWSLT 2017 dataset. | {
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} | Created a [IWSLT 2017](https://sites.google.com/site/iwsltevaluation2017/TED-tasks) dataset script for the *multilingual data*.
```
Bilingual data: {Arabic, German, French, Japanese, Korean, Chinese} <-> English
Multilingual data: German, English, Italian, Dutch, Romanian. (Any pair)
```
I'm unsure how to h... | {
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"Ok I tried to add the dummy dataset (I actually modified the dummy_data command to generate them for me because it was too painful to do that manually).\r\n\r\nThe dummy_data test seems to work:\r\n```bash\r\nRUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_iwslt2017\... |
https://api.github.com/repos/huggingface/datasets/issues/469 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/469/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/469/comments | https://api.github.com/repos/huggingface/datasets/issues/469/events | https://github.com/huggingface/datasets/issues/469 | 671,876,963 | MDU6SXNzdWU2NzE4NzY5NjM= | 469 | invalid data type 'str' at _convert_outputs in arrow_dataset.py | {
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} | I trying to build multi label text classifier model using Transformers lib.
I'm using Transformers NLP to load the data set, while calling trainer.train() method. It throws the following error
File "C:\***\arrow_dataset.py", line 343, in _convert_outputs
v = command(v)
TypeError: new(): invalid data type ... | {
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"Hi ! Did you try to set the output format to pytorch ? (or tensorflow if you're using tensorflow)\r\nIt can be done with `dataset.set_format(\"torch\", columns=columns)` (or \"tensorflow\").\r\n\r\nNote that for pytorch, string columns can't be converted to `torch.Tensor`, so you have to specify in `columns=` the... |
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## Description of the problem
I'm running into a `UnicodeDecodeError` while trying to load the PAN-X subset the XTREME dataset:
```
---------------------------------------------------------------------------
UnicodeDecodeError Traceback (most recent call last)
<ipython-inp... | {
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"Indeed. Solution 1 is the simplest.\r\n\r\nThis is actually a recurring problem.\r\nI think we should scan all the datasets with regexpr to fix the use of `open()` without encodings.\r\nAnd probably add a test in the CI to forbid using this in the future.",
"I'm happy to tackle the broader problem - will open a ... |
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"Thanks!"
] |
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- Allow to directly feed numpy/pytorch/tensorflow/pandas objects in metrics | {
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"The cast function is now called inside `features.encode_example`.\r\nI also added `encode_batch` that was missing.\r\n\r\nMoreover I used the cast function in `Dataset.map` to support torch/tensorflow tensors or numpy arrays inputs.\r\n\r\nThere are tests for tensors inputs in metrics and in .map",
"I think we c... |
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} | When applying a transform like `map`, some features were lost (and inferred features were used).
It was the case for ClassLabel, Translation, etc.
To fix that, I did some modifications in the `ArrowWriter`:
- added the `update_features` parameter. When it's `True`, then the features specified by the user (if any... | {
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"One note on features inference:\r\n\r\nif an arrow type is `struct of items` where each item is a `list`, then we return a `dict` in which each item is a `Sequence`.\r\nIt means that we don't use the Sequence <-> dict swap when we infer features.\r\n\r\nIt's fine because the swap is generally used in dataset scrip... |
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} | Add a bunch of in-place operation leveraging the Arrow back-end to rename and remove columns and cast to new features without using the more expensive `map` method.
These methods are added to `Dataset` as well as `DatasetDict`.
Added tests for these new methods and add the methods to the doc.
Naming follows th... | {
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The load_real_data stills fails because it is looking for a default dataset URL that does not exists, this does not happen when loading the dataset with load_dataset | {
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"I think the problem is related to `wiki_dpr` dataset which is making the circle CI failed as you can see:\r\n```\r\nFAILED tests/test_dataset_common.py::AWSDatasetTest::test_load_dataset_wiki_dpr\r\nFAILED tests/test_hf_gcp.py::TestDatasetOnHfGcp::test_script_synced_with_s3_wiki_dpr/dummy_psgs_w100_no_embeddings\r... |
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} | If you interrupted a map function while it was writing, the cached file was not discarded.
Therefore the next time you called map, it was loading an incomplete arrow file.
We had the same issue with select if there was a bad indice at one point.
To fix that I used temporary files that are renamed once everything... | {
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"Thanks @TevenLeScao for finding this issue",
"Thanks @lhoestq for catching this ❤️"
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} | This PR contains a few breaking changes so it's probably good to keep it for the next (major) release:
- rename the `flatten`, `drop` and `dictionary_encode_column` methods in `flatten_`, `drop_` and `dictionary_encode_column_` to indicate that these methods have in-place effects as discussed in #166. From now on we s... | {
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} | Changed the import statements in `coval.py` to direct the user to install the original package from github if it's not already installed (the warning will only display properly after merging [PR455](https://github.com/huggingface/nlp/pull/455))
Also changed the function call to use named rather than positional argum... | {
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} | Add the `set_format` and `formated_as` and `reset_format` to `DatasetDict`.
Add tests to these for `Dataset` and `DatasetDict`.
Fix some bugs uncovered by the tests for `pandas` formating. | {
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