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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
690,197,725 | https://api.github.com/repos/huggingface/datasets/issues/555 | https://github.com/huggingface/datasets/pull/555 | 555 | Upgrade pip in benchmark github action | closed | 0 | 2020-09-01T14:37:26 | 2020-09-01T15:26:16 | 2020-09-01T15:26:15 | lhoestq | [] | It looks like it fixes the `import nlp` issue we have | true |
690,173,214 | https://api.github.com/repos/huggingface/datasets/issues/554 | https://github.com/huggingface/datasets/issues/554 | 554 | nlp downloads to its module path | closed | 8 | 2020-09-01T14:06:14 | 2020-09-11T06:19:24 | 2020-09-11T06:19:24 | danieldk | [] | 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')
... | false |
690,143,182 | https://api.github.com/repos/huggingface/datasets/issues/553 | https://github.com/huggingface/datasets/pull/553 | 553 | [Fix GitHub Actions] test adding tmate | closed | 0 | 2020-09-01T13:28:03 | 2021-05-05T18:24:38 | 2020-09-03T09:01:13 | thomwolf | [] | true | |
690,079,429 | https://api.github.com/repos/huggingface/datasets/issues/552 | https://github.com/huggingface/datasets/pull/552 | 552 | Add multiprocessing | closed | 10 | 2020-09-01T11:56:17 | 2020-09-22T15:11:56 | 2020-09-02T10:01:25 | lhoestq | [] | 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... | true |
690,034,762 | https://api.github.com/repos/huggingface/datasets/issues/551 | https://github.com/huggingface/datasets/pull/551 | 551 | added HANS dataset | closed | 0 | 2020-09-01T10:42:02 | 2020-09-01T12:17:10 | 2020-09-01T12:17:10 | TevenLeScao | [] | Adds the [HANS](https://github.com/tommccoy1/hans) dataset to evaluate NLI systems. | true |
689,775,914 | https://api.github.com/repos/huggingface/datasets/issues/550 | https://github.com/huggingface/datasets/pull/550 | 550 | [BUGFIX] Solving mismatched checksum issue for the LinCE dataset (#539) | closed | 2 | 2020-09-01T03:27:03 | 2020-09-03T09:06:01 | 2020-09-03T09:06:01 | gaguilar | [] | 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... | true |
689,766,465 | https://api.github.com/repos/huggingface/datasets/issues/549 | https://github.com/huggingface/datasets/pull/549 | 549 | Fix bleurt logging import | closed | 2 | 2020-09-01T03:01:25 | 2020-09-03T18:04:46 | 2020-09-03T09:04:20 | jbragg | [] | 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... | true |
689,285,996 | https://api.github.com/repos/huggingface/datasets/issues/548 | https://github.com/huggingface/datasets/pull/548 | 548 | [Breaking] Switch text loading to multi-threaded PyArrow loading | closed | 5 | 2020-08-31T15:15:41 | 2020-09-08T10:19:58 | 2020-09-08T10:19:57 | thomwolf | [] | Test if we can get better performances for large-scale text datasets by using multi-threaded text file loading based on Apache Arrow multi-threaded CSV loader.
If it works ok, it would fix #546.
**Breaking change**:
The text lines now do not include final line-breaks anymore. | true |
689,268,589 | https://api.github.com/repos/huggingface/datasets/issues/547 | https://github.com/huggingface/datasets/pull/547 | 547 | [Distributed] Making loading distributed datasets a bit safer | closed | 0 | 2020-08-31T14:51:34 | 2020-08-31T15:16:30 | 2020-08-31T15:16:29 | thomwolf | [] | Add some file-locks during dataset loading | true |
689,186,526 | https://api.github.com/repos/huggingface/datasets/issues/546 | https://github.com/huggingface/datasets/issues/546 | 546 | Very slow data loading on large dataset | closed | 28 | 2020-08-31T12:57:23 | 2024-01-02T20:26:24 | 2020-09-08T10:19:57 | agemagician | [] | 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... | false |
689,138,878 | https://api.github.com/repos/huggingface/datasets/issues/545 | https://github.com/huggingface/datasets/issues/545 | 545 | New release coming up for this library | closed | 1 | 2020-08-31T11:37:38 | 2021-01-13T10:59:04 | 2021-01-13T10:59:04 | thomwolf | [] | 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... | false |
689,062,519 | https://api.github.com/repos/huggingface/datasets/issues/544 | https://github.com/huggingface/datasets/pull/544 | 544 | [Distributed] Fix load_dataset error when multiprocessing + add test | closed | 0 | 2020-08-31T09:30:10 | 2020-08-31T11:15:11 | 2020-08-31T11:15:10 | thomwolf | [] | Fix #543 + add test | true |
688,644,407 | https://api.github.com/repos/huggingface/datasets/issues/543 | https://github.com/huggingface/datasets/issues/543 | 543 | nlp.load_dataset is not safe for multi processes when loading from local files | closed | 1 | 2020-08-30T03:20:34 | 2020-08-31T11:15:10 | 2020-08-31T11:15:10 | luyug | [] | 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... | false |
688,555,036 | https://api.github.com/repos/huggingface/datasets/issues/542 | https://github.com/huggingface/datasets/pull/542 | 542 | Add TensorFlow example | closed | 0 | 2020-08-29T15:39:27 | 2020-08-31T09:49:20 | 2020-08-31T09:49:19 | jplu | [] | 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. | true |
688,521,224 | https://api.github.com/repos/huggingface/datasets/issues/541 | https://github.com/huggingface/datasets/issues/541 | 541 | Best practices for training tokenizers with nlp | closed | 1 | 2020-08-29T12:06:49 | 2022-10-04T17:28:04 | 2022-10-04T17:28:04 | moskomule | [] | 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. | false |
688,475,884 | https://api.github.com/repos/huggingface/datasets/issues/540 | https://github.com/huggingface/datasets/pull/540 | 540 | [BUGFIX] Fix Race Dataset Checksum bug | closed | 4 | 2020-08-29T07:00:10 | 2020-09-18T11:42:20 | 2020-09-18T11:42:20 | abarbosa94 | [] | 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. | true |
688,323,602 | https://api.github.com/repos/huggingface/datasets/issues/539 | https://github.com/huggingface/datasets/issues/539 | 539 | [Dataset] `NonMatchingChecksumError` due to an update in the LinCE benchmark data | closed | 3 | 2020-08-28T19:55:51 | 2020-09-03T16:34:02 | 2020-09-03T16:34:01 | gaguilar | [] | 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... | false |
688,015,912 | https://api.github.com/repos/huggingface/datasets/issues/538 | https://github.com/huggingface/datasets/pull/538 | 538 | [logging] Add centralized logging - Bump-up cache loads to warnings | closed | 0 | 2020-08-28T11:42:29 | 2020-08-31T11:42:51 | 2020-08-31T11:42:51 | thomwolf | [] | 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... | true |
687,614,699 | https://api.github.com/repos/huggingface/datasets/issues/537 | https://github.com/huggingface/datasets/issues/537 | 537 | [Dataset] RACE dataset Checksums error | closed | 9 | 2020-08-27T23:58:16 | 2020-09-18T12:07:04 | 2020-09-18T12:07:04 | abarbosa94 | [
"dataset bug"
] | 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:
```
----------------------------------... | false |
687,378,332 | https://api.github.com/repos/huggingface/datasets/issues/536 | https://github.com/huggingface/datasets/pull/536 | 536 | Fingerprint | closed | 1 | 2020-08-27T16:27:09 | 2020-08-31T14:20:40 | 2020-08-31T14:20:39 | lhoestq | [] | 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... | true |
686,238,315 | https://api.github.com/repos/huggingface/datasets/issues/535 | https://github.com/huggingface/datasets/pull/535 | 535 | Benchmarks | closed | 0 | 2020-08-26T11:21:26 | 2020-08-27T08:40:00 | 2020-08-27T08:39:59 | thomwolf | [] | 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... | true |
686,115,912 | https://api.github.com/repos/huggingface/datasets/issues/534 | https://github.com/huggingface/datasets/issues/534 | 534 | `list_datasets()` is broken. | closed | 3 | 2020-08-26T08:19:01 | 2020-08-27T06:31:11 | 2020-08-27T06:31:11 | ashutosh-dwivedi-e3502 | [] | 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... | false |
685,585,914 | https://api.github.com/repos/huggingface/datasets/issues/533 | https://github.com/huggingface/datasets/pull/533 | 533 | Fix ArrayXD for pyarrow 0.17.1 by using non fixed length list arrays | closed | 0 | 2020-08-25T15:32:44 | 2020-08-26T08:02:24 | 2020-08-26T08:02:23 | lhoestq | [] | It should fix the CI problems in #513 | true |
685,540,614 | https://api.github.com/repos/huggingface/datasets/issues/532 | https://github.com/huggingface/datasets/issues/532 | 532 | File exists error when used with TPU | open | 21 | 2020-08-25T14:36:38 | 2020-09-01T12:14:56 | null | go-inoue | [] | 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/... | false |
685,291,036 | https://api.github.com/repos/huggingface/datasets/issues/531 | https://github.com/huggingface/datasets/pull/531 | 531 | add concatenate_datasets to the docs | closed | 0 | 2020-08-25T08:40:05 | 2020-08-25T09:02:20 | 2020-08-25T09:02:19 | lhoestq | [] | true | |
684,825,612 | https://api.github.com/repos/huggingface/datasets/issues/530 | https://github.com/huggingface/datasets/pull/530 | 530 | use ragged tensor by default | closed | 4 | 2020-08-24T17:06:15 | 2021-10-22T19:38:40 | 2020-08-24T19:22:25 | lhoestq | [] | 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... | true |
684,797,157 | https://api.github.com/repos/huggingface/datasets/issues/529 | https://github.com/huggingface/datasets/pull/529 | 529 | Add MLSUM | closed | 3 | 2020-08-24T16:18:35 | 2020-08-26T08:04:11 | 2020-08-26T08:04:11 | RachelKer | [] | 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... | true |
684,673,673 | https://api.github.com/repos/huggingface/datasets/issues/528 | https://github.com/huggingface/datasets/pull/528 | 528 | fix missing variable names in docs | closed | 1 | 2020-08-24T13:31:48 | 2020-08-25T09:04:04 | 2020-08-25T09:04:03 | lhoestq | [] | fix #524 | true |
684,632,930 | https://api.github.com/repos/huggingface/datasets/issues/527 | https://github.com/huggingface/datasets/pull/527 | 527 | Fix config used for slow test on real dataset | closed | 0 | 2020-08-24T12:39:34 | 2020-08-25T09:20:45 | 2020-08-25T09:20:44 | lhoestq | [] | 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... | true |
684,615,455 | https://api.github.com/repos/huggingface/datasets/issues/526 | https://github.com/huggingface/datasets/pull/526 | 526 | Returning None instead of "python" if dataset is unformatted | closed | 2 | 2020-08-24T12:10:35 | 2020-08-24T12:50:43 | 2020-08-24T12:50:42 | TevenLeScao | [] | 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`. | true |
683,875,483 | https://api.github.com/repos/huggingface/datasets/issues/525 | https://github.com/huggingface/datasets/issues/525 | 525 | wmt download speed example | closed | 8 | 2020-08-21T23:29:06 | 2022-10-04T17:45:39 | 2022-10-04T17:45:39 | sshleifer | [] | 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... | false |
683,686,359 | https://api.github.com/repos/huggingface/datasets/issues/524 | https://github.com/huggingface/datasets/issues/524 | 524 | Some docs are missing parameter names | closed | 1 | 2020-08-21T16:47:34 | 2020-08-25T09:04:03 | 2020-08-25T09:04:03 | jarednielsen | [] | 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. | false |
682,573,232 | https://api.github.com/repos/huggingface/datasets/issues/523 | https://github.com/huggingface/datasets/pull/523 | 523 | Speed up Tokenization by optimizing cast_to_python_objects | closed | 1 | 2020-08-20T09:42:02 | 2020-08-24T08:54:15 | 2020-08-24T08:54:14 | lhoestq | [] | 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... | true |
682,478,833 | https://api.github.com/repos/huggingface/datasets/issues/522 | https://github.com/huggingface/datasets/issues/522 | 522 | dictionnary typo in docs | closed | 1 | 2020-08-20T07:11:05 | 2020-08-20T07:52:14 | 2020-08-20T07:52:13 | yonigottesman | [] | Many places dictionary is spelled dictionnary, not sure if its on purpose or not.
Fixed in this pr:
https://github.com/huggingface/nlp/pull/521 | false |
682,477,648 | https://api.github.com/repos/huggingface/datasets/issues/521 | https://github.com/huggingface/datasets/pull/521 | 521 | Fix dictionnary (dictionary) typo | closed | 1 | 2020-08-20T07:09:02 | 2020-08-20T07:52:04 | 2020-08-20T07:52:04 | yonigottesman | [] | This error happens many times I'm thinking maybe its spelled like this on purpose? | true |
682,264,839 | https://api.github.com/repos/huggingface/datasets/issues/520 | https://github.com/huggingface/datasets/pull/520 | 520 | Transform references for sacrebleu | closed | 1 | 2020-08-20T00:26:55 | 2020-08-20T09:30:54 | 2020-08-20T09:30:53 | jbragg | [] | 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... | true |
682,193,882 | https://api.github.com/repos/huggingface/datasets/issues/519 | https://github.com/huggingface/datasets/issues/519 | 519 | [BUG] Metrics throwing new error on master since 0.4.0 | closed | 2 | 2020-08-19T21:29:15 | 2022-06-02T16:41:01 | 2020-08-19T22:04:40 | jbragg | [] | 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)
... | false |
682,131,165 | https://api.github.com/repos/huggingface/datasets/issues/518 | https://github.com/huggingface/datasets/pull/518 | 518 | [METRICS, breaking] Refactor caching behavior, pickle/cloudpickle metrics and dataset, add tests on metrics | closed | 2 | 2020-08-19T19:43:08 | 2020-08-24T16:01:40 | 2020-08-24T16:01:39 | thomwolf | [] | Move the acquisition of the filelock at a later stage during metrics processing so it can be pickled/cloudpickled after instantiation.
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... | true |
681,896,944 | https://api.github.com/repos/huggingface/datasets/issues/517 | https://github.com/huggingface/datasets/issues/517 | 517 | add MLDoc dataset | open | 2 | 2020-08-19T14:41:59 | 2021-08-03T05:59:33 | null | jxmorris12 | [
"dataset request"
] | 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... | false |
681,846,032 | https://api.github.com/repos/huggingface/datasets/issues/516 | https://github.com/huggingface/datasets/pull/516 | 516 | [Breaking] Rename formated to formatted | closed | 0 | 2020-08-19T13:35:23 | 2020-08-20T08:41:17 | 2020-08-20T08:41:16 | lhoestq | [] | `formated` is not correct but `formatted` is | true |
681,845,619 | https://api.github.com/repos/huggingface/datasets/issues/515 | https://github.com/huggingface/datasets/pull/515 | 515 | Fix batched map for formatted dataset | closed | 0 | 2020-08-19T13:34:50 | 2020-08-20T20:30:43 | 2020-08-20T20:30:42 | lhoestq | [] | If you had a dataset formatted as numpy for example, and tried to do a batched map, then it would crash because one of the elements from the inputs was missing for unchanged columns (ex: batch of length 999 instead of 1000).
The happened during the creation of the `pa.Table`, since columns had different lengths. | true |
681,256,348 | https://api.github.com/repos/huggingface/datasets/issues/514 | https://github.com/huggingface/datasets/issues/514 | 514 | dataset.shuffle(keep_in_memory=True) is never allowed | closed | 10 | 2020-08-18T18:47:40 | 2022-10-10T12:21:58 | 2022-10-10T12:21:58 | vegarab | [
"good first issue",
"hacktoberfest"
] | 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... | false |
681,215,612 | https://api.github.com/repos/huggingface/datasets/issues/513 | https://github.com/huggingface/datasets/pull/513 | 513 | [speedup] Use indices mappings instead of deepcopy for all the samples reordering methods | closed | 4 | 2020-08-18T17:36:02 | 2020-08-28T08:41:51 | 2020-08-28T08:41:50 | thomwolf | [] | 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... | true |
681,137,164 | https://api.github.com/repos/huggingface/datasets/issues/512 | https://github.com/huggingface/datasets/pull/512 | 512 | Delete CONTRIBUTING.md | closed | 2 | 2020-08-18T15:33:25 | 2020-08-18T15:48:21 | 2020-08-18T15:39:07 | ChenZehong13 | [] | true | |
681,055,553 | https://api.github.com/repos/huggingface/datasets/issues/511 | https://github.com/huggingface/datasets/issues/511 | 511 | dataset.shuffle() and select() resets format. Intended? | closed | 5 | 2020-08-18T13:46:01 | 2020-09-14T08:45:38 | 2020-09-14T08:45:38 | vegarab | [] | 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... | false |
680,823,644 | https://api.github.com/repos/huggingface/datasets/issues/510 | https://github.com/huggingface/datasets/issues/510 | 510 | Version of numpy to use the library | closed | 2 | 2020-08-18T08:59:13 | 2020-08-19T18:35:56 | 2020-08-19T18:35:56 | isspek | [] | 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... | false |
679,711,585 | https://api.github.com/repos/huggingface/datasets/issues/509 | https://github.com/huggingface/datasets/issues/509 | 509 | Converting TensorFlow dataset example | closed | 2 | 2020-08-16T08:05:20 | 2021-08-03T06:01:18 | 2021-08-03T06:01:17 | saareliad | [] | 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
| false |
679,705,734 | https://api.github.com/repos/huggingface/datasets/issues/508 | https://github.com/huggingface/datasets/issues/508 | 508 | TypeError: Receiver() takes no arguments | closed | 5 | 2020-08-16T07:18:16 | 2020-09-01T14:53:33 | 2020-09-01T14:49:03 | sebastiantomac | [] | 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')
```
Th... | false |
679,400,683 | https://api.github.com/repos/huggingface/datasets/issues/507 | https://github.com/huggingface/datasets/issues/507 | 507 | Errors when I use | closed | 1 | 2020-08-14T21:03:57 | 2020-08-14T21:39:10 | 2020-08-14T21:39:10 | mchari | [] | 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... | false |
679,164,788 | https://api.github.com/repos/huggingface/datasets/issues/506 | https://github.com/huggingface/datasets/pull/506 | 506 | fix dataset.map for function without outputs | closed | 0 | 2020-08-14T13:40:22 | 2020-08-17T11:24:39 | 2020-08-17T11:24:38 | lhoestq | [] | 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 | true |
678,791,400 | https://api.github.com/repos/huggingface/datasets/issues/505 | https://github.com/huggingface/datasets/pull/505 | 505 | tmp_file referenced before assignment | closed | 2 | 2020-08-13T23:27:33 | 2020-08-14T13:42:46 | 2020-08-14T13:42:46 | avloss | [] | Just learning about this library - so might've not set up all the flags correctly, but was getting this error about "tmp_file". | true |
678,756,211 | https://api.github.com/repos/huggingface/datasets/issues/504 | https://github.com/huggingface/datasets/pull/504 | 504 | Added downloading to Hyperpartisan news detection | closed | 2 | 2020-08-13T21:53:46 | 2020-08-27T08:18:41 | 2020-08-27T08:18:41 | ghomasHudson | [] | 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... | true |
678,726,538 | https://api.github.com/repos/huggingface/datasets/issues/503 | https://github.com/huggingface/datasets/pull/503 | 503 | CompGuessWhat?! 0.2.0 | closed | 20 | 2020-08-13T20:51:26 | 2020-10-21T06:54:29 | 2020-10-21T06:54:29 | aleSuglia | [] | We updated some metadata information associated with the dataset. In addition, we've updated the `create_dummy_data.py` script to generate data samples for the dataset. | true |
678,546,070 | https://api.github.com/repos/huggingface/datasets/issues/502 | https://github.com/huggingface/datasets/pull/502 | 502 | Fix tokenizers caching | closed | 1 | 2020-08-13T15:53:37 | 2020-08-19T13:37:19 | 2020-08-19T13:37:18 | lhoestq | [] | 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... | true |
677,952,893 | https://api.github.com/repos/huggingface/datasets/issues/501 | https://github.com/huggingface/datasets/issues/501 | 501 | Caching doesn't work for map (non-deterministic) | closed | 4 | 2020-08-12T20:20:07 | 2022-08-08T11:02:23 | 2020-08-24T16:34:35 | wulu473 | [] | 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... | false |
677,841,708 | https://api.github.com/repos/huggingface/datasets/issues/500 | https://github.com/huggingface/datasets/pull/500 | 500 | Use hnsw in wiki_dpr | closed | 0 | 2020-08-12T16:58:07 | 2020-08-20T07:59:19 | 2020-08-20T07:59:18 | lhoestq | [] | The HNSW faiss index is much faster that regular Flat index. | true |
677,709,938 | https://api.github.com/repos/huggingface/datasets/issues/499 | https://github.com/huggingface/datasets/pull/499 | 499 | Narrativeqa (with full text) | closed | 9 | 2020-08-12T13:49:43 | 2020-12-09T11:21:02 | 2020-12-09T11:21:02 | ghomasHudson | [] | Following the uploading of the full text data in #309, I've added the full text to the narrativeqa dataset.
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:
... | true |
677,597,479 | https://api.github.com/repos/huggingface/datasets/issues/498 | https://github.com/huggingface/datasets/pull/498 | 498 | dont use beam fs to save info for local cache dir | closed | 0 | 2020-08-12T11:00:00 | 2020-08-14T13:17:21 | 2020-08-14T13:17:20 | lhoestq | [] | If the cache dir is local, then we shouldn't use beam's filesystem to save the dataset info
Fix #490
| true |
677,057,116 | https://api.github.com/repos/huggingface/datasets/issues/497 | https://github.com/huggingface/datasets/pull/497 | 497 | skip header in PAWS-X | closed | 0 | 2020-08-11T17:26:25 | 2020-08-19T09:50:02 | 2020-08-19T09:50:01 | lhoestq | [] | 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... | true |
677,016,998 | https://api.github.com/repos/huggingface/datasets/issues/496 | https://github.com/huggingface/datasets/pull/496 | 496 | fix bad type in overflow check | closed | 0 | 2020-08-11T16:24:58 | 2020-08-14T13:29:35 | 2020-08-14T13:29:34 | lhoestq | [] | When writing an arrow file and inferring the features, the overflow check could fail if the first example had a `null` field.
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... | true |
676,959,289 | https://api.github.com/repos/huggingface/datasets/issues/495 | https://github.com/huggingface/datasets/pull/495 | 495 | stack vectors in pytorch and tensorflow | closed | 0 | 2020-08-11T15:12:53 | 2020-08-12T09:30:49 | 2020-08-12T09:30:48 | lhoestq | [] | 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... | true |
676,886,955 | https://api.github.com/repos/huggingface/datasets/issues/494 | https://github.com/huggingface/datasets/pull/494 | 494 | Fix numpy stacking | closed | 1 | 2020-08-11T13:40:30 | 2020-08-11T14:56:50 | 2020-08-11T13:49:52 | lhoestq | [] | When getting items using a column name as a key, numpy arrays were not stacked.
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... | true |
676,527,351 | https://api.github.com/repos/huggingface/datasets/issues/493 | https://github.com/huggingface/datasets/pull/493 | 493 | Fix wmt zh-en url | closed | 1 | 2020-08-11T02:14:52 | 2020-08-11T02:22:28 | 2020-08-11T02:22:12 | sshleifer | [] | I verified that
```
wget https://stuncorpusprod.blob.core.windows.net/corpusfiles/UNv1.0.en-zh.tar.gz.00
```
runs in 2 minutes. | true |
676,495,064 | https://api.github.com/repos/huggingface/datasets/issues/492 | https://github.com/huggingface/datasets/issues/492 | 492 | nlp.Features does not distinguish between nullable and non-nullable types in PyArrow schema | closed | 7 | 2020-08-11T00:27:46 | 2020-08-26T16:17:19 | 2020-08-26T16:17:19 | jarednielsen | [] | 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... | false |
676,486,275 | https://api.github.com/repos/huggingface/datasets/issues/491 | https://github.com/huggingface/datasets/issues/491 | 491 | No 0.4.0 release on GitHub | closed | 2 | 2020-08-10T23:59:57 | 2020-08-11T16:50:07 | 2020-08-11T16:50:07 | jarednielsen | [] | 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. | false |
676,482,242 | https://api.github.com/repos/huggingface/datasets/issues/490 | https://github.com/huggingface/datasets/issues/490 | 490 | Loading preprocessed Wikipedia dataset requires apache_beam | closed | 0 | 2020-08-10T23:46:50 | 2020-08-14T13:17:20 | 2020-08-14T13:17:20 | jarednielsen | [] | 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... | false |
676,456,257 | https://api.github.com/repos/huggingface/datasets/issues/489 | https://github.com/huggingface/datasets/issues/489 | 489 | ug | closed | 2 | 2020-08-10T22:33:03 | 2020-08-10T22:55:14 | 2020-08-10T22:33:40 | timothyjlaurent | [] | false | |
676,299,993 | https://api.github.com/repos/huggingface/datasets/issues/488 | https://github.com/huggingface/datasets/issues/488 | 488 | issues with downloading datasets for wmt16 and wmt19 | closed | 3 | 2020-08-10T17:32:51 | 2022-10-04T17:46:59 | 2022-10-04T17:46:58 | stas00 | [] | 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... | false |
676,143,029 | https://api.github.com/repos/huggingface/datasets/issues/487 | https://github.com/huggingface/datasets/pull/487 | 487 | Fix elasticsearch result ids returning as strings | closed | 1 | 2020-08-10T13:37:11 | 2020-08-31T10:42:46 | 2020-08-31T10:42:46 | sai-prasanna | [] | 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. | true |
675,649,034 | https://api.github.com/repos/huggingface/datasets/issues/486 | https://github.com/huggingface/datasets/issues/486 | 486 | Bookcorpus data contains pretokenized text | closed | 8 | 2020-08-09T06:53:24 | 2022-10-04T17:44:33 | 2022-10-04T17:44:33 | orsharir | [] | 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... | false |
675,595,393 | https://api.github.com/repos/huggingface/datasets/issues/485 | https://github.com/huggingface/datasets/issues/485 | 485 | PAWS dataset first item is header | closed | 0 | 2020-08-08T22:05:25 | 2020-08-19T09:50:01 | 2020-08-19T09:50:01 | jxmorris12 | [] | ```
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... | false |
675,088,983 | https://api.github.com/repos/huggingface/datasets/issues/484 | https://github.com/huggingface/datasets/pull/484 | 484 | update mirror for RT dataset | closed | 4 | 2020-08-07T15:25:45 | 2020-08-24T13:33:37 | 2020-08-24T13:33:37 | jxmorris12 | [] | true | |
675,080,694 | https://api.github.com/repos/huggingface/datasets/issues/483 | https://github.com/huggingface/datasets/issues/483 | 483 | rotten tomatoes movie review dataset taken down | closed | 3 | 2020-08-07T15:12:01 | 2020-09-08T09:36:34 | 2020-09-08T09:36:33 | jxmorris12 | [] | 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. | false |
674,851,147 | https://api.github.com/repos/huggingface/datasets/issues/482 | https://github.com/huggingface/datasets/issues/482 | 482 | Bugs : dataset.map() is frozen on ELI5 | closed | 8 | 2020-08-07T08:23:35 | 2023-04-06T09:39:59 | 2020-08-11T23:55:15 | ratthachat | [] | 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... | false |
674,567,389 | https://api.github.com/repos/huggingface/datasets/issues/481 | https://github.com/huggingface/datasets/pull/481 | 481 | Apply utf-8 encoding to all datasets | closed | 6 | 2020-08-06T20:02:09 | 2020-08-20T08:16:08 | 2020-08-20T08:16:08 | lewtun | [] | ## 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... | true |
674,245,959 | https://api.github.com/repos/huggingface/datasets/issues/480 | https://github.com/huggingface/datasets/pull/480 | 480 | Column indexing hotfix | closed | 2 | 2020-08-06T11:37:05 | 2023-09-24T09:49:33 | 2020-08-12T08:36:10 | TevenLeScao | [] | As observed for example in #469 , currently `__getitem__` does not convert the data to the dataset format when indexing by column. This is a hotfix that imitates functional 0.3.0. code. In the future it'd probably be nice to have a test there. | true |
673,905,407 | https://api.github.com/repos/huggingface/datasets/issues/479 | https://github.com/huggingface/datasets/pull/479 | 479 | add METEOR metric | closed | 5 | 2020-08-05T23:13:00 | 2020-08-19T13:39:09 | 2020-08-19T13:39:09 | vegarab | [] | 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... | true |
673,178,317 | https://api.github.com/repos/huggingface/datasets/issues/478 | https://github.com/huggingface/datasets/issues/478 | 478 | Export TFRecord to GCP bucket | closed | 1 | 2020-08-05T01:08:32 | 2020-08-05T01:21:37 | 2020-08-05T01:21:36 | astariul | [] | 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.... | false |
673,142,143 | https://api.github.com/repos/huggingface/datasets/issues/477 | https://github.com/huggingface/datasets/issues/477 | 477 | Overview.ipynb throws exceptions with nlp 0.4.0 | closed | 3 | 2020-08-04T23:18:15 | 2021-08-03T06:02:15 | 2021-08-03T06:02:15 | mandy-li | [] | 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... | false |
672,991,854 | https://api.github.com/repos/huggingface/datasets/issues/476 | https://github.com/huggingface/datasets/pull/476 | 476 | CheckList | closed | 2 | 2020-08-04T18:32:05 | 2022-10-03T09:43:37 | 2022-10-03T09:43:37 | marcotcr | [
"dataset contribution"
] | 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 | true |
672,884,595 | https://api.github.com/repos/huggingface/datasets/issues/475 | https://github.com/huggingface/datasets/pull/475 | 475 | misc. bugs and quality of life | closed | 2 | 2020-08-04T15:32:29 | 2020-08-17T21:14:08 | 2020-08-17T21:14:07 | joeddav | [] | 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... | true |
672,407,330 | https://api.github.com/repos/huggingface/datasets/issues/474 | https://github.com/huggingface/datasets/issues/474 | 474 | test_load_real_dataset when config has BUILDER_CONFIGS that matter | closed | 2 | 2020-08-03T23:46:36 | 2020-09-07T14:53:13 | 2020-09-07T14:53:13 | marcotcr | [] | 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... | false |
672,007,247 | https://api.github.com/repos/huggingface/datasets/issues/473 | https://github.com/huggingface/datasets/pull/473 | 473 | add DoQA dataset (ACL 2020) | closed | 0 | 2020-08-03T11:26:52 | 2020-09-10T17:19:11 | 2020-09-03T11:44:15 | mariamabarham | [] | add DoQA dataset (ACL 2020) http://ixa.eus/node/12931 | true |
672,000,745 | https://api.github.com/repos/huggingface/datasets/issues/472 | https://github.com/huggingface/datasets/pull/472 | 472 | add crd3 dataset | closed | 1 | 2020-08-03T11:15:02 | 2020-08-03T11:22:10 | 2020-08-03T11:22:09 | mariamabarham | [] | opening new PR for CRD3 dataset (ACL2020) to fix the circle CI problems | true |
671,996,423 | https://api.github.com/repos/huggingface/datasets/issues/471 | https://github.com/huggingface/datasets/pull/471 | 471 | add reuters21578 dataset | closed | 0 | 2020-08-03T11:07:14 | 2022-08-04T08:39:11 | 2020-09-03T09:58:50 | mariamabarham | [] | new PR to add the reuters21578 dataset and fix the circle CI problems.
Fix partially:
- #353
Subsequent PR after:
- #449 | true |
671,952,276 | https://api.github.com/repos/huggingface/datasets/issues/470 | https://github.com/huggingface/datasets/pull/470 | 470 | Adding IWSLT 2017 dataset. | closed | 6 | 2020-08-03T09:52:39 | 2020-09-07T12:33:30 | 2020-09-07T12:33:30 | Narsil | [] | 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... | true |
671,876,963 | https://api.github.com/repos/huggingface/datasets/issues/469 | https://github.com/huggingface/datasets/issues/469 | 469 | invalid data type 'str' at _convert_outputs in arrow_dataset.py | closed | 9 | 2020-08-03T07:48:29 | 2023-07-20T15:54:17 | 2023-07-20T15:54:17 | Murgates | [] | 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 ... | false |
671,622,441 | https://api.github.com/repos/huggingface/datasets/issues/468 | https://github.com/huggingface/datasets/issues/468 | 468 | UnicodeDecodeError while loading PAN-X task of XTREME dataset | closed | 5 | 2020-08-02T14:05:10 | 2020-08-20T08:16:08 | 2020-08-20T08:16:08 | lewtun | [] | Hi 🤗 team!
## 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... | false |
671,580,010 | https://api.github.com/repos/huggingface/datasets/issues/467 | https://github.com/huggingface/datasets/pull/467 | 467 | DOCS: Fix typo | closed | 1 | 2020-08-02T08:59:37 | 2020-08-02T13:52:27 | 2020-08-02T09:18:54 | bharatr21 | [] | Fix typo from dictionnary -> dictionary | true |
670,766,891 | https://api.github.com/repos/huggingface/datasets/issues/466 | https://github.com/huggingface/datasets/pull/466 | 466 | [METRICS] Various improvements on metrics | closed | 2 | 2020-08-01T11:03:45 | 2020-08-17T15:15:00 | 2020-08-17T15:14:59 | thomwolf | [] | - Disallow the use of positional arguments to avoid `predictions` vs `references` mistakes
- Allow to directly feed numpy/pytorch/tensorflow/pandas objects in metrics | true |
669,889,779 | https://api.github.com/repos/huggingface/datasets/issues/465 | https://github.com/huggingface/datasets/pull/465 | 465 | Keep features after transform | closed | 3 | 2020-07-31T14:43:21 | 2020-07-31T18:27:33 | 2020-07-31T18:27:32 | lhoestq | [] | 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... | true |
669,767,381 | https://api.github.com/repos/huggingface/datasets/issues/464 | https://github.com/huggingface/datasets/pull/464 | 464 | Add rename, remove and cast in-place operations | closed | 0 | 2020-07-31T12:30:21 | 2020-07-31T15:50:02 | 2020-07-31T15:50:00 | thomwolf | [] | 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... | true |
669,735,455 | https://api.github.com/repos/huggingface/datasets/issues/463 | https://github.com/huggingface/datasets/pull/463 | 463 | Add dataset/mlsum | closed | 3 | 2020-07-31T11:50:52 | 2020-08-24T14:54:42 | 2020-08-24T14:54:42 | RachelKer | [] | New pull request that should correct the previous errors.
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 | true |
669,715,547 | https://api.github.com/repos/huggingface/datasets/issues/462 | https://github.com/huggingface/datasets/pull/462 | 462 | add DoQA (ACL 2020) dataset | closed | 0 | 2020-07-31T11:25:56 | 2023-09-24T09:48:42 | 2020-08-03T11:28:27 | mariamabarham | [] | adds DoQA (ACL 2020) dataset | true |
669,703,508 | https://api.github.com/repos/huggingface/datasets/issues/461 | https://github.com/huggingface/datasets/pull/461 | 461 | Doqa | closed | 0 | 2020-07-31T11:11:12 | 2023-09-24T09:48:40 | 2020-07-31T11:13:15 | mariamabarham | [] | add DoQA (ACL 2020) dataset | true |
669,585,256 | https://api.github.com/repos/huggingface/datasets/issues/460 | https://github.com/huggingface/datasets/pull/460 | 460 | Fix KeyboardInterrupt in map and bad indices in select | closed | 2 | 2020-07-31T08:57:15 | 2020-07-31T11:32:19 | 2020-07-31T11:32:18 | lhoestq | [] | 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... | true |
669,545,437 | https://api.github.com/repos/huggingface/datasets/issues/459 | https://github.com/huggingface/datasets/pull/459 | 459 | [Breaking] Update Dataset and DatasetDict API | closed | 0 | 2020-07-31T08:11:33 | 2020-08-26T08:28:36 | 2020-08-26T08:28:35 | thomwolf | [] | 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... | true |
668,972,666 | https://api.github.com/repos/huggingface/datasets/issues/458 | https://github.com/huggingface/datasets/pull/458 | 458 | Install CoVal metric from github | closed | 0 | 2020-07-30T16:59:25 | 2020-07-31T13:56:33 | 2020-07-31T13:56:33 | yjernite | [] | 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... | true |
668,898,386 | https://api.github.com/repos/huggingface/datasets/issues/457 | https://github.com/huggingface/datasets/pull/457 | 457 | add set_format to DatasetDict + tests | closed | 0 | 2020-07-30T15:53:20 | 2020-07-30T17:34:36 | 2020-07-30T17:34:34 | thomwolf | [] | 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. | true |
668,723,785 | https://api.github.com/repos/huggingface/datasets/issues/456 | https://github.com/huggingface/datasets/pull/456 | 456 | add crd3(ACL 2020) dataset | closed | 0 | 2020-07-30T13:28:35 | 2023-09-24T09:48:47 | 2020-08-03T11:28:52 | mariamabarham | [] | This PR adds the **Critical Role Dungeons and Dragons Dataset** published at ACL 2020 | true |
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