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"Nice thanks for the change !\r\nThis looks all good to me\r\n\r\nBefore we merge can you just update the dataset_infos.json file of drop ? You can do it by running\r\n```\r\ndatasets-cli test ./datasets/drop --all_configs --save_infos --ignore_verifications\r\n```",
"Done!"
] | 1,614,791,587,000 | 1,615,807,646,000 | 1,615,807,646,000 | CONTRIBUTOR | null | Hello all,
I propose this change to the DROP loading script so that all answers are loaded no matter their type. Currently, only "span" answers are loaded, which excludes a significant amount of answers from drop (i.e. "number" and "date").
I updated the script with the version I use for my work. However, I could... | {
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"Thanks !\r\nNow to fix the CI the only thing left is to add a dummy `test-task-tc-template.out` file inside the `dummy_data.zip` at `./datasets/sem_eval_2020_task_11/dummy/1.1.0`\r\nIt must contain the labels template for each dummy article of the test set included in `dummy_data.zip`\r\n\r\nAfter that we should b... | 1,614,767,672,000 | 1,615,633,180,000 | 1,615,554,650,000 | CONTRIBUTOR | null | … dataset
- `article_id` is needed to create the submission file for the task at https://propaganda.qcri.org/semeval2020-task11/
- The `technique classification` task provides the span indices in a template for the test set that is necessary to complete the task. This PR implements processing of that template for t... | {
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"@lhoestq thank you very much for the quick review and useful comments! \r\n\r\nI have tried to address them all, and a few comments that you left for ro_sts I have applied to the ro_sts_parallel as well (in read-me: fixed source_datasets, links to homepage, repository, leaderboard, thanks to me message, in ro_sts_... | 1,614,766,133,000 | 1,614,938,414,000 | 1,614,936,835,000 | CONTRIBUTOR | null | Adding [RO-STS](https://github.com/dumitrescustefan/RO-STS) dataset | {
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"I sometimes also get this error with other languages of the same dataset:\r\n\r\n File \"/dara/libs/anaconda3/envs/code/lib/python3.7/site-packages/datasets-1.3.0-py3.7.egg/datasets/arrow_reader.py\", line 322, in read_table\r\n stream = stream_from(filename)\r\n File \"pyarrow/io.pxi\", line 782, in pyarrow.... | 1,614,712,888,000 | 1,614,766,660,000 | null | NONE | null | Hi
I am trying to run run_mlm.py code [1] of huggingface with following "wikipedia"/ "20200501.aa" dataset:
`python run_mlm.py --model_name_or_path bert-base-multilingual-cased --dataset_name wikipedia --dataset_config_name 20200501.aa --do_train --do_eval --output_dir /tmp/test-mlm --max_seq_l... | {
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cc @stas00 | {
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More info : https://github.com/sphinx-doc/sphinx/pull/2064
You can try here : https://29353-250213286-gh.circle-artifacts.com/0/docs/_build/html/index.html | {
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"Echo'ing this observation: I have a few datasets in the neighborhood of 2GB CSVs uncompressed, and when I use something like `Dataset.save_to_disk()` it's ~18GB on disk.\r\n\r\nIf this is unexpected behavior, would be happy to help run debugging as needed.",
"Thanks @ioana-blue for pointing out this problem (and... | 1,614,695,753,000 | 1,617,113,039,000 | 1,615,887,840,000 | NONE | null | I'm running several training jobs (around 10) with a relatively large dataset (3M samples). The datasets cache reached 178G and it seems really large. What is it stored in there and why is it so large? I don't think I noticed this problem before and seems to be related to the new version of the datasets library. Any in... | {
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"Hi ! `rename_column` has been added recently and will be available in the next release"
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"Oh nice thanks for adding the context manager ! All the streams and RecordBatchWriter will be properly closed now. Hopefully this gives a better experience on windows on which it's super important to close stuff.\r\n\r\nNot sure about the error, it looks like a process crashed silently.\r\nLet me take a look",
"... | 1,614,669,154,000 | 1,615,394,217,000 | 1,615,394,217,000 | MEMBER | null | Current implementation of ArrowWriter does not properly release the `stream` resource (by closing it) if its `finalize()` method is not called and/or an Exception is raised before/during the call to its `finalize()` method.
Therefore, ArrowWriter should be used as a context manager that properly closes its `stream` ... | {
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cc @sebastianGehrmann | {
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"Thanks for the change, merging now !"
] | 1,614,622,919,000 | 1,614,705,900,000 | 1,614,705,900,000 | CONTRIBUTOR | null | This PR adds the Turkish News Categories Dataset (270K - Lite Version) dataset which is a text classification dataset by me, @basakbuluz and @serdarakyol.
This dataset contains the same news from the current [interpress_news_category_tr dataset](https://huggingface.co/datasets/interpress_news_category_tr) but contains... | {
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"Since the failure was originally intermittent, there is no 100% telling that the problem is gone. \r\nBut if my artificial race condition setup https://github.com/huggingface/datasets/issues/1942#issuecomment-787124529 is to be the litmus test then the problem has been fixed, as with this PR branch that particular... | 1,614,620,718,000 | 1,614,690,345,000 | 1,614,690,344,000 | MEMBER | null | As noticed in #1942 , there's a issue with locks if you run multiple separate evaluation experiments in a multiprocessed setup.
Indeed there is a time span in Metric._finalize() where the process 0 loses its lock before re-acquiring it. This is bad since the lock of the process 0 tells the other process that the cor... | {
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"Hi !\r\nAs far as I know not all faiss indexes can be computed in parallel and then merged. \r\nFor example [here](https://github.com/facebookresearch/faiss/wiki/Special-operations-on-indexes#splitting-and-merging-indexes) is is mentioned that only IndexIVF indexes can be merged.\r\nMoreover faiss already works us... | 1,614,602,854,000 | 1,614,886,856,000 | 1,614,886,842,000 | NONE | null | I am thinking of making the **add_faiss_index** process faster. What if we run the add_faiss_index process on separate dataset shards and then combine them before (dataset.concatenate) saving the faiss.index file ?
I feel theoretically this will reduce the accuracy of retrieval since it affects the indexing process... | {
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"Hi !\r\n\r\nTo fix 1, an you try to run this code ?\r\n```python\r\nfrom datasets import load_dataset\r\n\r\nload_dataset(\"squad\", download_mode=\"force_redownload\")\r\n```\r\nMaybe the file your downloaded was corrupted, in this case redownloading this way should fix your issue 1.\r\n\r\nRegarding your 2nd poi... | 1,614,588,091,000 | 1,614,870,566,000 | null | NONE | null | ### 1 When I try to train lxmert,and follow the code in README that --dataset name:
```shell
python examples/question-answering/run_qa.py --model_name_or_path unc-nlp/lxmert-base-uncased --dataset_name squad --do_train --do_eval --per_device_train_batch_size 12 --learning_rate 3e-5 --num_train_epochs 2 --max_seq_len... | {
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"Hi ! The labels -1 correspond to the examples without gold labels in the original snli dataset.\r\nFeel free to remove these examples if you don't need them by using\r\n```python\r\ndata = data.filter(lambda x: x[\"label\"] != -1)\r\n```"
] | 1,614,540,980,000 | 1,614,600,089,000 | null | NONE | null | Hi
There is label of -1 in train set of SNLI dataset, please find the code below:
```
import numpy as np
import datasets
data = datasets.load_dataset("snli")["train"]
labels = []
for d in data:
labels.append(d["label"])
print(np.unique(labels))
```
and results:
`[-1 0 1 2]`
version of datas... | {
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"@lhoestq Re-added the arg. The ConnectionError in CI seems unrelated to this PR (the same test fails on master as well).",
"Thanks !\r\nI'm re-running the CI, maybe this was an issue with circleCI",
"Looks all good now, merged :)"
] | 1,614,480,427,000 | 1,615,429,097,000 | 1,614,789,470,000 | CONTRIBUTOR | null | Noticed some args in the codebase are not used, so managed to find all such occurrences with Pylance and fix them. | {
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"@lhoestq Added a test. If you can come up with a better stateful callable, I'm all ears 😄. ",
"Sorry I said earlier that it was good to have it inside the loop, my mistake !",
"@lhoestq Okay, did some refactoring and now the \"cache\" part comes before the for loop. Thanks for the guidance.\r\n\r\nThink this... | 1,614,475,745,000 | 1,616,513,209,000 | 1,616,513,209,000 | CONTRIBUTOR | null | Removes the "test type" section in Dataset.map which would modify the state of the stateful function. Now, the return type of the map function is inferred after processing the first example.
Fixes #1940
@lhoestq Not very happy with the usage of `nonlocal`. Would like to hear your opinion on this. | {
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"Hi,\r\n\r\ntry `skiprows` instead. This part is not properly documented in the docs it seems.\r\n\r\n@lhoestq I'll fix this as part of a bigger PR that fixes typos in the docs."
] | 1,614,468,774,000 | 1,615,285,292,000 | 1,615,285,292,000 | NONE | null | Hello everyone,
I'm quite new to Git so sorry in advance if I'm breaking some ground rules of issues posting... :/
I tried to use the load_dataset function, from Huggingface datasets library, on a csv file using the skip_rows argument described on Huggingface page to skip the first row containing column names
`t... | {
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"Never mind, I ran it again and it worked this time. Strange."
] | 1,614,462,476,000 | 1,614,462,616,000 | 1,614,462,616,000 | NONE | null | I did
```
from datasets import load_dataset
dataset = load_dataset("xsum")
```
This returns
`ConnectionError: Couldn't reach http://bollin.inf.ed.ac.uk/public/direct/XSUM-EMNLP18-Summary-Data-Original.tar.gz` | {
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https://api.github.com/repos/huggingface/datasets/issues/1956 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1956/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1956/comments | https://api.github.com/repos/huggingface/datasets/issues/1956/events | https://github.com/huggingface/datasets/issues/1956 | 818,013,741 | MDU6SXNzdWU4MTgwMTM3NDE= | 1,956 | [distributed env] potentially unsafe parallel execution | {
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"You can pass the same `experiment_id` for all the metrics of the same group, and use another `experiment_id` for the other groups.\r\nMaybe we can add an environment variable that sets the default value for `experiment_id` ? What do you think ?",
"Ah, you're absolutely correct, @lhoestq - it's exactly the equiva... | 1,614,458,325,000 | 1,614,619,482,000 | 1,614,619,482,000 | MEMBER | null | ```
metric = load_metric('glue', 'mrpc', num_process=num_process, process_id=rank)
```
presumes that there is only one set of parallel processes running - and will intermittently fail if you have multiple sets running as they will surely overwrite each other. Similar to https://github.com/huggingface/datasets/issu... | {
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N.B. When referring to the library `datasets` in the docs it is typically used as a singular, and it definitely is a singular when written as "`datasets` library", that is "`datasets` library is ..." and no... | {
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"Hi\r\nnot sure how change the lable after creation, but this is an issue not dataset request. thanks ",
"Hi ! Currently you have to use `map` . You can see an example of how to do it in this comment: https://github.com/huggingface/datasets/issues/853#issuecomment-727872188\r\n\r\nIn the future we'll add support ... | 1,614,363,447,000 | 1,619,707,843,000 | 1,619,707,843,000 | NONE | null | Hi
I'd need to add a new column to the dataset, I was wondering how this can be done? thanks
@lhoestq | {
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I also fixed some formatting issues in the docstrings | {
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"I never said the calls were hanging indefinitely, what we need is quite different - in the firewalled env with a network, there should be no network calls or they should fail instantly.\r\n\r\nTo make this work I suppose on top of this PR we need:\r\n1. `DATASETS_OFFLINE` env var to force set timeout to 0 globally... | 1,614,351,727,000 | 1,614,608,964,000 | 1,614,608,964,000 | MEMBER | null | As noticed in https://github.com/huggingface/datasets/issues/1939, timeouts were not properly handled when loading a dataset.
This caused the connection to hang indefinitely when working in a firewalled environment cc @stas00
I added a default timeout, and included an option to our offline environment for tests to... | {
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"@mariosasko This is kinda cool! "
] | 1,614,351,385,000 | 1,615,429,106,000 | 1,614,353,426,000 | CONTRIBUTOR | null | One thing I've noticed while going through the codebase is the usage of `scripts` in `setup.py`. This [answer](https://stackoverflow.com/a/28119736/14095927) on SO explains it nicely why it's better to use `entry_points` instead of `scripts`. To add cross-platform support to the CLI, this PR replaces `scripts` with `en... | {
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2) added tags to README
3) updated a few fields of README
4) new dataset_infos.json and dummy files | {
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"Hi @gchhablani :)\r\nThanks for proposing your help !\r\n\r\nI'll be doing a refactor of some parts related to filtering in the scope of https://github.com/huggingface/datasets/issues/1877\r\nSo I would first wait for this refactor to be done before working on the filtering. In particular because I plan to make th... | 1,614,308,017,000 | 1,614,367,109,000 | null | CONTRIBUTOR | null | Hi @lhoestq,
As mentioned in Issue #1796, I would love to work on enabling fast filtering/mapping. Can you please share the expectations? It would be great if you could point me to the relevant methods/files involved. Or the docs or maybe an overview of `arrow_dataset.py`. I only ask this because I am having trouble... | {
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"These warnings are showed when there's a call to `.map` to say to the user that a dataset is reloaded from the cache instead of being recomputed.\r\nThey are warnings since we want to make sure the users know that it's not recomputed.",
"Thank you for explaining the intention, @lhoestq \r\n\r\n1. Could it be the... | 1,614,278,017,000 | 1,644,324,439,000 | null | MEMBER | null | on master I get this with `--dataset_name wmt16 --dataset_config ro-en`:
```
WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/stas/.cache/huggingface/datasets/wmt16/ro-en/1.0.0/9dc00622c30446e99c4c63d12a484ea4fb653f2f37c867d6edcec839d7eae50f/cache-2e01bead8cf42e26.arrow
WARNING:datasets.arr... | {
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I added them to the documentation and added a paragraph on how to use them
You can preview the documentation [here](https://28862-250213286-gh.circle-artifacts.com/0/docs/_build/html/processing.html#renaming-r... | {
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"@lhoestq question about public API: `keep_in_memory` or just `in_memory`?",
"For consistence I'd say `keep_in_memory`, but no strong opinion.",
"@lhoestq done!"
] | 1,614,265,813,000 | 1,615,542,168,000 | 1,615,542,168,000 | MEMBER | null | Implement `Dataset.from_csv`.
Analogue to #1943.
If finally, the scripts should be used instead, at least we can reuse the tests here. | {
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"sorry my mistake, datasets were overwritten closing now, thanks a lot"
] | 1,614,258,585,000 | 1,614,259,235,000 | 1,614,259,226,000 | NONE | null | Hi
I am trying to concatenate a list of huggingface datastes as:
` train_dataset = datasets.concatenate_datasets(train_datasets)
`
Here is the `train_datasets` when I print:
```
[Dataset({
features: ['attention_mask', 'idx', 'input_ids', 'label', 'question1', 'question2', 'token_type_ids'],
num_rows... | {
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"I updated your suggestions. Thank you very much for your support. @lhoestq ",
"> Thanks for changing to ClassLabel :)\r\n> This is all good now !\r\n> \r\n> However I can see changes in other files than the ones for interpress_news_category_tr_lite, can you please fix that ?\r\n> To do so you can create another ... | 1,614,246,322,000 | 1,614,707,201,000 | 1,614,623,001,000 | CONTRIBUTOR | null | This PR adds the Turkish News Categories Dataset (270K - Lite Version) dataset which is a text classification dataset by me, @basakbuluz and @serdarakyol.
This dataset contains the same news from the current [interpress_news_category_tr dataset](https://huggingface.co/datasets/interpress_news_category_tr) but contai... | {
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"Thanks @lhoestq. I was trying to follow @thomwolf suggestion about integrating that script but as `from_json` method...\r\n> Note that I don't think this is necessary a breaking change, we can still keep the old scripts around\r\n\r\nDo you think there is a better way of doing it?\r\n\r\nI was trying to implement ... | 1,614,237,453,000 | 1,616,060,528,000 | 1,616,060,528,000 | MEMBER | null | Implement `Dataset.from_jsonl`. | {
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"Hi !\r\n\r\nThe cache at `~/.cache/huggingface/metrics` stores the users data for metrics computations (hence the arrow files).\r\n\r\nHowever python modules (i.e. dataset scripts, metric scripts) are stored in `~/.cache/huggingface/modules/datasets_modules`.\r\n\r\nIn particular the metrics are cached in `~/.cach... | 1,614,222,135,000 | 1,614,623,611,000 | null | MEMBER | null | the original report was pretty bad and incomplete - my apologies!
Please see the complete version here: https://github.com/huggingface/datasets/issues/1942#issuecomment-786336481
------------
As mentioned here https://github.com/huggingface/datasets/issues/1939 metrics don't get cached, looking at my local `~/... | {
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"Thanks for reporting ! I'm taking a look",
"Index training was missing, I fixed it here: https://github.com/huggingface/datasets/commit/f5986c46323583989f6ed1dabaf267854424a521\r\n\r\nCan you try again please ?",
"Works great 👍 I just put a minor comment on the commit, I think you meant to pass the `train_siz... | 1,614,216,654,000 | 1,614,263,326,000 | 1,614,263,326,000 | CONTRIBUTOR | null | Hi,
It looks like loading of FAISS index now fails when using index_name = 'exact'.
For example, from the RAG [model card](https://huggingface.co/facebook/rag-token-nq?fbclid=IwAR3bTfhls5U_t9DqsX2Vzb7NhtRHxJxfQ-uwFT7VuCPMZUM2AdAlKF_qkI8#usage).
Running `transformers==4.3.2` and datasets installed from source o... | {
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"Thanks for the report !\r\n\r\nCurrently we don't have a way to let the user easily disable this behavior.\r\nHowever I agree that we should support stateful processing functions, ideally by removing `does_function_return_dict`.\r\n\r\nWe needed this function in order to know whether the `map` functions needs to w... | 1,614,194,336,000 | 1,616,513,209,000 | 1,616,513,209,000 | CONTRIBUTOR | null | Hi there!
In my codebase I have a function to filter rows in a dataset, selecting only a certain number of examples per class. The function passes a extra argument to maintain a counter of the number of dataset rows/examples already selected per each class, which are the ones I want to keep in the end:
```python
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"Thanks for reporting and for all the details and suggestions.\r\n\r\nI'm totally in favor of having a HF_DATASETS_OFFLINE env variable to disable manually all the connection checks, remove retries etc.\r\n\r\nMoreover you may know that the use case that you are mentioning is already supported from `datasets` 1.3.0... | 1,614,186,822,000 | 1,614,920,994,000 | 1,614,920,994,000 | MEMBER | null | This issue comes from a need to be able to run `datasets` in a firewalled env, which currently makes the software hang until it times out, as it's unable to complete the network calls.
I propose the following approach to solving this problem, using the example of `run_seq2seq.py` as a sample program. There are 2 pos... | {
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This was causing silent issues as in #1936 and breaking the conversion methods str2int and int2str.
cc @justin-yan | {
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"Facing the same issue for [Squad](https://huggingface.co/datasets/viewer/?dataset=squad) and [TriviaQA](https://huggingface.co/datasets/viewer/?dataset=trivia_qa) datasets as well.",
"We just fixed the issue, thanks for reporting !"
] | 1,614,149,253,000 | 1,614,337,806,000 | 1,614,337,806,000 | CONTRIBUTOR | null | The page of the CommonGen data https://huggingface.co/datasets/viewer/?dataset=common_gen shows
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"Thanks ! could you maybe add a few tests in test_arrow_dataset.py to make sure from_pandas works as expected with categorical types ?\r\n\r\nIn particular I'm pretty sure that if you now try to `cast` the dataset to the same features at its current features, it will break instead of just being a no-op.\r\nThis is ... | 1,614,105,174,000 | 1,646,851,582,000 | 1,646,851,582,000 | CONTRIBUTOR | null | @lhoestq - continuing our conversation from https://github.com/huggingface/datasets/issues/1906#issuecomment-784247014
The goal of this PR is to support `Dataset.from_pandas(df)` where the dataframe contains a Category.
Just the 4 line change below actually does seem to work:
```
>>> from datasets import Data... | {
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"@patrickvonplaten \r\nI removed the mp3 files, dummy_data is much smaller now!"
] | 1,614,097,696,000 | 1,614,190,172,000 | 1,614,189,909,000 | MEMBER | null | This PR adds the CoVoST2 dataset for speech translation and ASR.
https://github.com/facebookresearch/covost#covost-2
The dataset requires manual download as the download page requests an email address and the URLs are temporary.
The dummy data is a bit bigger because of the mp3 files and 36 configs. | {
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"Dataset added in release [1.5.0](https://github.com/huggingface/datasets/releases/tag/1.5.0), I think I can close this."
] | 1,614,084,796,000 | 1,616,089,904,000 | 1,616,089,904,000 | CONTRIBUTOR | null | I am going to add SST:
- **Name:** The Stanford Sentiment Treebank
- **Description:** The first corpus with fully labeled parse trees that allows for a complete analysis of the compositional effects of sentiment in language
- **Paper:** [Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank... | {
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> We define a “file format” supporting random access that is build with the stream format. The file ... | {
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https://api.github.com/repos/huggingface/datasets/issues/1931 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1931/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1931/comments | https://api.github.com/repos/huggingface/datasets/issues/1931/events | https://github.com/huggingface/datasets/pull/1931 | 814,225,074 | MDExOlB1bGxSZXF1ZXN0NTc4MjQ4NTA5 | 1,931 | add m_lama (multilingual lama) dataset | {
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"Hi, it seems I am somewhat stuck here. The failed test `ci/circleci: run_dataset_script_tests_pyarrow_1_WIN` seems to be caused by some broken connection (`ConnectionResetError: [WinError 10054] An existing connection was forcibly closed by the remote host`). Any help on this is appreciated. \r\n\r\nEdit: Seems to... | 1,614,067,917,000 | 1,614,592,863,000 | 1,614,592,863,000 | CONTRIBUTOR | null | Add a multilingual (machine translated and automatically generated) version of the LAMA benchmark. For details see the paper https://arxiv.org/pdf/2102.00894.pdf | {
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"Hi @JieyuZhao ! Have you had a chance to add the different configurations ?\r\nThanks again for your help on this !",
"> Hi @JieyuZhao ! Have you had a chance to add the different configurations ?\r\n> Thanks again for your help on this !\r\n\r\nHi @lhoestq Yes, I've updated the code. Now the configuration will... | 1,614,049,660,000 | 1,617,809,096,000 | 1,617,809,096,000 | CONTRIBUTOR | null | Updated the wino_bias.py script.
- updated the data_url
- added different configurations for different data splits
- added the coreference_cluster to the data features | {
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https://api.github.com/repos/huggingface/datasets/issues/1929 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1929/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1929/comments | https://api.github.com/repos/huggingface/datasets/issues/1929/events | https://github.com/huggingface/datasets/pull/1929 | 813,929,669 | MDExOlB1bGxSZXF1ZXN0NTc3OTk1MTE4 | 1,929 | Improve typing and style and fix some inconsistencies | {
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"@lhoestq Thanks for the quick review.",
"I merged master to this branch to re-run the CI before merging :)"
] | 1,614,034,061,000 | 1,614,183,374,000 | 1,614,175,434,000 | CONTRIBUTOR | null | This PR:
* improves typing (mostly more consistent use of `typing.Optional`)
* `DatasetDict.cleanup_cache_files` now correctly returns a dict
* replaces `dict()` with the corresponding literal
* uses `dict_to_copy.copy()` instead of `dict(dict_to_copy)` for shallow copying | {
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https://api.github.com/repos/huggingface/datasets/issues/1928 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1928/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1928/comments | https://api.github.com/repos/huggingface/datasets/issues/1928/events | https://github.com/huggingface/datasets/pull/1928 | 813,793,434 | MDExOlB1bGxSZXF1ZXN0NTc3ODgyMDM4 | 1,928 | Updating old cards | {
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https://api.github.com/repos/huggingface/datasets/issues/1927 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1927/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1927/comments | https://api.github.com/repos/huggingface/datasets/issues/1927/events | https://github.com/huggingface/datasets/pull/1927 | 813,768,935 | MDExOlB1bGxSZXF1ZXN0NTc3ODYxODM5 | 1,927 | Update README.md | {
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https://api.github.com/repos/huggingface/datasets/issues/1926 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1926/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1926/comments | https://api.github.com/repos/huggingface/datasets/issues/1926/events | https://github.com/huggingface/datasets/pull/1926 | 813,607,994 | MDExOlB1bGxSZXF1ZXN0NTc3NzI4Mjgy | 1,926 | Fix: Wiki_dpr - add missing scalar quantizer | {
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The scalar quantizer SQ8 doesn't reduce the performance of the index as shown in retrieval experiments on RAG.
The quantizer reduces the size of the index a lot but increases index b... | {
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https://api.github.com/repos/huggingface/datasets/issues/1925 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1925/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1925/comments | https://api.github.com/repos/huggingface/datasets/issues/1925/events | https://github.com/huggingface/datasets/pull/1925 | 813,600,902 | MDExOlB1bGxSZXF1ZXN0NTc3NzIyMzc3 | 1,925 | Fix: Wiki_dpr - fix when with_embeddings is False or index_name is "no_index" | {
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"Hi @lhoestq ,\r\n\r\nI am running into an issue now when trying to run RAG. Running exactly as described [here](https://huggingface.co/facebook/rag-token-nq?fbclid=IwAR3bTfhls5U_t9DqsX2Vzb7NhtRHxJxfQ-uwFT7VuCPMZUM2AdAlKF_qkI8#usage) I get the error below. Wondering if it's related to this.\r\n\r\nRunning Transfor... | 1,614,007,426,000 | 1,614,216,828,000 | 1,614,008,168,000 | MEMBER | null | Fix the bugs noticed in #1915
There was a bug when `with_embeddings=False` where the configuration name was the same as if `with_embeddings=True`, which led the dataset builder to do bad verifications (for example it used to expect to download the embeddings for `with_embeddings=False`).
Another issue was that s... | {
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https://api.github.com/repos/huggingface/datasets/issues/1924 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1924/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1924/comments | https://api.github.com/repos/huggingface/datasets/issues/1924/events | https://github.com/huggingface/datasets/issues/1924 | 813,599,733 | MDU6SXNzdWU4MTM1OTk3MzM= | 1,924 | Anonymous Dataset Addition (i.e Anonymous PR?) | {
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"Hi !\r\nI guess you can add a dataset without the fields that must be kept anonymous, and then update those when the anonymity period is over.\r\nYou can also make the PR from an anonymous org.\r\nPinging @yjernite just to make sure it's ok",
"Hello,\r\nI would prefer to do the reverse: adding a link to an anony... | 1,614,007,350,000 | 1,614,104,890,000 | null | CONTRIBUTOR | null | Hello,
Thanks a lot for your librairy.
We plan to submit a paper on OpenReview using the Anonymous setting. Is it possible to add a new dataset without breaking the anonimity, with a link to the paper ?
Cheers
@eusip | {
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https://api.github.com/repos/huggingface/datasets/issues/1923 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1923/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1923/comments | https://api.github.com/repos/huggingface/datasets/issues/1923/events | https://github.com/huggingface/datasets/pull/1923 | 813,363,472 | MDExOlB1bGxSZXF1ZXN0NTc3NTI0MTU0 | 1,923 | Fix save_to_disk with relative path | {
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I added... | {
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https://api.github.com/repos/huggingface/datasets/issues/1922 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1922/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1922/comments | https://api.github.com/repos/huggingface/datasets/issues/1922/events | https://github.com/huggingface/datasets/issues/1922 | 813,140,806 | MDU6SXNzdWU4MTMxNDA4MDY= | 1,922 | How to update the "wino_bias" dataset | {
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"Hi @JieyuZhao !\r\n\r\nYou can edit the dataset card of wino_bias to update the URL via a Pull Request. This would be really appreciated :)\r\n\r\nThe dataset card is the README.md file you can find at https://github.com/huggingface/datasets/tree/master/datasets/wino_bias\r\nAlso the homepage url is also mentioned... | 1,613,972,379,000 | 1,613,990,159,000 | null | CONTRIBUTOR | null | Hi all,
Thanks for the efforts to collect all the datasets! But I think there is a problem with the wino_bias dataset. The current link is not correct. How can I update that?
Thanks! | {
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https://api.github.com/repos/huggingface/datasets/issues/1921 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1921/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1921/comments | https://api.github.com/repos/huggingface/datasets/issues/1921/events | https://github.com/huggingface/datasets/pull/1921 | 812,716,042 | MDExOlB1bGxSZXF1ZXN0NTc3MDEzMDM4 | 1,921 | Standardizing datasets dtypes | {
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"@lhoestq - apologies for the multiple PRs, my previous one (#1905) got mangled due to some merge conflicts that I had trouble resolving so I just cherry-picked my changes onto a fresh branch here."
] | 1,613,858,641,000 | 1,613,987,050,000 | 1,613,987,050,000 | CONTRIBUTOR | null | This PR follows up on discussion in #1900 to have an explicit set of basic dtypes for datasets.
This moves away from str(pyarrow.DataType) as the method of choice for creating dtypes, favoring an explicit mapping to a list of supported Value dtypes.
I believe in practice this should be backward compatible, since ... | {
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https://api.github.com/repos/huggingface/datasets/issues/1920 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1920/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1920/comments | https://api.github.com/repos/huggingface/datasets/issues/1920/events | https://github.com/huggingface/datasets/pull/1920 | 812,628,220 | MDExOlB1bGxSZXF1ZXN0NTc2OTQ5NzI2 | 1,920 | Fix save_to_disk issue | {
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"So I was curious why the issue reported at #1919 wasn't caught in [this test](https://github.com/huggingface/datasets/blob/248104c4bdb2e01c036b7578867199191fbff181/tests/test_arrow_dataset.py#L209), so I did some digging.\r\nI tried to save to a temporary directory (just like in the test), like this:\r\n```python\... | 1,613,830,959,000 | 1,613,989,811,000 | 1,613,989,811,000 | CONTRIBUTOR | null | Fixes #1919
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https://api.github.com/repos/huggingface/datasets/issues/1919 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1919/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1919/comments | https://api.github.com/repos/huggingface/datasets/issues/1919/events | https://github.com/huggingface/datasets/issues/1919 | 812,626,872 | MDU6SXNzdWU4MTI2MjY4NzI= | 1,919 | Failure to save with save_to_disk | {
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"Hi thanks for reporting and for proposing a fix :)\r\n\r\nI just merged a fix, feel free to try it from the master branch !",
"Closing since this has been fixed by #1923"
] | 1,613,830,690,000 | 1,614,793,227,000 | 1,614,793,227,000 | CONTRIBUTOR | null | When I try to save a dataset locally using the `save_to_disk` method I get the error:
```bash
FileNotFoundError: [Errno 2] No such file or directory: '/content/squad/train/squad-train.arrow'
```
To replicate:
1. Install `datasets` from master
2. Run this code:
```python
from datasets import load... | {
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https://api.github.com/repos/huggingface/datasets/issues/1917 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1917/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1917/comments | https://api.github.com/repos/huggingface/datasets/issues/1917/events | https://github.com/huggingface/datasets/issues/1917 | 812,390,178 | MDU6SXNzdWU4MTIzOTAxNzg= | 1,917 | UnicodeDecodeError: windows 10 machine | {
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"upgraded to php 3.9.2 and it works!"
] | 1,613,772,785,000 | 1,613,774,471,000 | 1,613,774,428,000 | NONE | null | Windows 10
Php 3.6.8
when running
```
import datasets
oscar_am = datasets.load_dataset("oscar", "unshuffled_deduplicated_am")
print(oscar_am["train"][0])
```
I get the following error
```
file "C:\PYTHON\3.6.8\lib\encodings\cp1252.py", line 23, in decode
return codecs.charmap_decode(input,self.er... | {
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https://api.github.com/repos/huggingface/datasets/issues/1916 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1916/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1916/comments | https://api.github.com/repos/huggingface/datasets/issues/1916/events | https://github.com/huggingface/datasets/pull/1916 | 812,291,984 | MDExOlB1bGxSZXF1ZXN0NTc2NjgwNjY5 | 1,916 | Remove unused py_utils objects | {
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"Hmmm this one broke master. I'm fixing it.\r\n\r\nMaybe because your branch was outdated ?",
"Sorry @lhoestq, I forgot to update the imports... :/",
"It's fine, the CI should have caught this tbh. Not sure why it did't fail"
] | 1,613,764,285,000 | 1,614,005,816,000 | 1,614,000,769,000 | MEMBER | null | Remove unused/unnecessary py_utils functions/classes. | {
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https://api.github.com/repos/huggingface/datasets/issues/1915 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1915/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1915/comments | https://api.github.com/repos/huggingface/datasets/issues/1915/events | https://github.com/huggingface/datasets/issues/1915 | 812,229,654 | MDU6SXNzdWU4MTIyMjk2NTQ= | 1,915 | Unable to download `wiki_dpr` | {
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"Thanks for reporting ! This is a bug. For now feel free to set `ignore_verifications=False` in `load_dataset`.\r\nI'm working on a fix",
"I just merged a fix :)\r\n\r\nWe'll do a patch release soon. In the meantime feel free to try it from the master branch\r\nThanks again for reporting !",
"Closing since this... | 1,613,758,292,000 | 1,614,793,248,000 | 1,614,793,248,000 | NONE | null | I am trying to download the `wiki_dpr` dataset. Specifically, I want to download `psgs_w100.multiset.no_index` with no embeddings/no index. In order to do so, I ran:
`curr_dataset = load_dataset("wiki_dpr", embeddings_name="multiset", index_name="no_index")`
However, I got the following error:
`datasets.utils.i... | {
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https://api.github.com/repos/huggingface/datasets/issues/1914 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1914/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1914/comments | https://api.github.com/repos/huggingface/datasets/issues/1914/events | https://github.com/huggingface/datasets/pull/1914 | 812,149,201 | MDExOlB1bGxSZXF1ZXN0NTc2NTYyNTkz | 1,914 | Fix logging imports and make all datasets use library logger | {
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https://api.github.com/repos/huggingface/datasets/issues/1913 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1913/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1913/comments | https://api.github.com/repos/huggingface/datasets/issues/1913/events | https://github.com/huggingface/datasets/pull/1913 | 812,127,307 | MDExOlB1bGxSZXF1ZXN0NTc2NTQ0NjQw | 1,913 | Add keep_linebreaks parameter to text loader | {
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"Just so I understand how it can be used in practice, do you have an example showing how to load a text dataset with this option?",
"Sure ! Here is an example:\r\n```python\r\nfrom datasets import load_dataset\r\n\r\nload_dataset(\"text\", keep_linebreaks=True, data_files=...)\r\n```\r\n\r\nI'll update the docume... | 1,613,749,425,000 | 1,613,759,772,000 | 1,613,759,771,000 | MEMBER | null | As asked in #870 and https://github.com/huggingface/transformers/issues/10269 there should be a parameter to keep the linebreaks when loading a text dataset.
cc @sgugger @jncasey | {
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https://api.github.com/repos/huggingface/datasets/issues/1912 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1912/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1912/comments | https://api.github.com/repos/huggingface/datasets/issues/1912/events | https://github.com/huggingface/datasets/pull/1912 | 812,034,140 | MDExOlB1bGxSZXF1ZXN0NTc2NDY2ODQx | 1,912 | Update: WMT - use mirror links | {
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"So much better - thank you for doing that, @lhoestq!",
"Also fixed the `uncorpus` urls for wmt19 ru-en and zh-en for https://github.com/huggingface/datasets/issues/1893",
"Thanks!\r\nCan this be merged sooner? \r\nI manually update it and it works well."
] | 1,613,742,154,000 | 1,614,174,293,000 | 1,614,174,293,000 | MEMBER | null | As asked in #1892 I created mirrors of the data hosted on statmt.org and updated the wmt scripts.
Now downloading the wmt datasets is blazing fast :)
cc @stas00 @patrickvonplaten | {
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"@thomwolf @lhoestq can you guys please take a look and recommend some solution.",
"am suspicious of this thing? what's the purpose of this? pickling and unplickling\r\n`self = pickle.loads(pickle.dumps(self))`\r\n\r\n```\r\n def save_to_disk(self, dataset_path: str, fs=None):\r\n \"\"\"\r\n Save... | 1,613,740,159,000 | 1,614,065,684,000 | null | NONE | null | I have a text dataset of size 220M.
For pre-processing, I need to tokenize this and filter rows with the large sequence.
My tokenization took roughly 3hrs. I used map() with batch size 1024 and multi-process with 96 processes.
filter() function was way to slow, so I used a hack to use pyarrow filter table func... | {
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https://api.github.com/repos/huggingface/datasets/issues/1910 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1910/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1910/comments | https://api.github.com/repos/huggingface/datasets/issues/1910/events | https://github.com/huggingface/datasets/pull/1910 | 811,697,108 | MDExOlB1bGxSZXF1ZXN0NTc2MTg0MDQ3 | 1,910 | Adding CoNLLpp dataset. | {
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"It looks like this PR now includes changes to many other files than the ones for CoNLLpp.\r\n\r\nTo fix that feel free to create another branch and another PR.\r\n\r\nThis was probably caused by a git rebase. You can avoid this issue by using git merge if you've already pushed your branch."
] | 1,613,711,550,000 | 1,614,895,367,000 | 1,614,895,367,000 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1907 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1907/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1907/comments | https://api.github.com/repos/huggingface/datasets/issues/1907/events | https://github.com/huggingface/datasets/issues/1907 | 811,520,569 | MDU6SXNzdWU4MTE1MjA1Njk= | 1,907 | DBPedia14 Dataset Checksum bug? | {
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"Hi ! :)\r\n\r\nThis looks like the same issue as https://github.com/huggingface/datasets/issues/1856 \r\nBasically google drive has quota issues that makes it inconvenient for downloading files.\r\n\r\nIf the quota of a file is exceeded, you have to wait 24h for the quota to reset (which is painful).\r\n\r\nThe er... | 1,613,687,148,000 | 1,614,036,125,000 | 1,614,036,124,000 | CONTRIBUTOR | null | Hi there!!!
I've been using successfully the DBPedia dataset (https://huggingface.co/datasets/dbpedia_14) with my codebase in the last couple of weeks, but in the last couple of days now I get this error:
```
Traceback (most recent call last):
File "./conditional_classification/basic_pipeline.py", line 178, i... | {
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https://api.github.com/repos/huggingface/datasets/issues/1906 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1906/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1906/comments | https://api.github.com/repos/huggingface/datasets/issues/1906/events | https://github.com/huggingface/datasets/issues/1906 | 811,405,274 | MDU6SXNzdWU4MTE0MDUyNzQ= | 1,906 | Feature Request: Support for Pandas `Categorical` | {
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"We already have a ClassLabel type that does this kind of mapping between the label ids (integers) and actual label values (strings).\r\n\r\nI wonder if actually we should use the DictionaryType from Arrow and the Categorical type from pandas for the `datasets` ClassLabel feature type.\r\nCurrently ClassLabel corre... | 1,613,677,565,000 | 1,614,091,130,000 | null | CONTRIBUTOR | null | ```
from datasets import Dataset
import pandas as pd
import pyarrow
df = pd.DataFrame(pd.Series(["a", "b", "c", "a"], dtype="category"))
pyarrow.Table.from_pandas(df)
Dataset.from_pandas(df)
# Throws NotImplementedError
# TODO(thom) this will need access to the dictionary as well (for labels). I.e. to the py_... | {
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https://api.github.com/repos/huggingface/datasets/issues/1905 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1905/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1905/comments | https://api.github.com/repos/huggingface/datasets/issues/1905/events | https://github.com/huggingface/datasets/pull/1905 | 811,384,174 | MDExOlB1bGxSZXF1ZXN0NTc1OTIxMDk1 | 1,905 | Standardizing datasets.dtypes | {
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"Also - I took a stab at updating the docs, but I'm not sure how to actually check the outputs to see if it's formatted properly."
] | 1,613,675,731,000 | 1,613,858,490,000 | 1,613,858,490,000 | CONTRIBUTOR | null | This PR was further branched off of jdy-str-to-pyarrow-parsing, so it depends on https://github.com/huggingface/datasets/pull/1900 going first for the diff to be up-to-date (I'm not sure if there's a way for me to use jdy-str-to-pyarrow-parsing as a base branch while having it appear in the pull requests here).
This... | {
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https://api.github.com/repos/huggingface/datasets/issues/1904 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1904/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1904/comments | https://api.github.com/repos/huggingface/datasets/issues/1904/events | https://github.com/huggingface/datasets/pull/1904 | 811,260,904 | MDExOlB1bGxSZXF1ZXN0NTc1ODE4MjA0 | 1,904 | Fix to_pandas for boolean ArrayXD | {
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"Thanks!"
] | 1,613,665,846,000 | 1,613,668,203,000 | 1,613,668,201,000 | MEMBER | null | As noticed in #1887 the conversion of a dataset with a boolean ArrayXD feature types fails because of the underlying ListArray conversion to numpy requires `zero_copy_only=False`.
zero copy is available for all primitive types except booleans
see https://arrow.apache.org/docs/python/generated/pyarrow.Array.html#pya... | {
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https://api.github.com/repos/huggingface/datasets/issues/1903 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1903/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1903/comments | https://api.github.com/repos/huggingface/datasets/issues/1903/events | https://github.com/huggingface/datasets/pull/1903 | 811,145,531 | MDExOlB1bGxSZXF1ZXN0NTc1NzIwOTk2 | 1,903 | Initial commit for the addition of TIMIT dataset | {
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"@patrickvonplaten could you please review and help me close this PR?",
"@lhoestq Thank you so much for your comments and for patiently reviewing the code. Have _hopefully_ included all the suggested changes. Let me know if any more changes are required.\r\n\r\nSorry the code had lots of silly errors from my sid... | 1,613,658,192,000 | 1,614,591,552,000 | 1,614,591,552,000 | CONTRIBUTOR | null | Below points needs to be addressed:
- Creation of dummy dataset is failing
- Need to check on the data representation
- License is not creative commons. Copyright: Portions © 1993 Trustees of the University of Pennsylvania
Also the links (_except the download_) point to the ami corpus! ;-)
@patrickvonplaten ... | {
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https://api.github.com/repos/huggingface/datasets/issues/1902 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1902/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1902/comments | https://api.github.com/repos/huggingface/datasets/issues/1902/events | https://github.com/huggingface/datasets/pull/1902 | 810,931,171 | MDExOlB1bGxSZXF1ZXN0NTc1NTQwMDM1 | 1,902 | Fix setimes_2 wmt urls | {
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Some other urls were missing https | {
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https://api.github.com/repos/huggingface/datasets/issues/1901 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1901/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1901/comments | https://api.github.com/repos/huggingface/datasets/issues/1901/events | https://github.com/huggingface/datasets/pull/1901 | 810,845,605 | MDExOlB1bGxSZXF1ZXN0NTc1NDY5MDUy | 1,901 | Fix OPUS dataset download errors | {
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https://github.com/huggingface/datasets/issues/854
https://discuss.huggingface.co/t/cannot-download-wmt16/2081
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https://api.github.com/repos/huggingface/datasets/issues/1900 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1900/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1900/comments | https://api.github.com/repos/huggingface/datasets/issues/1900/events | https://github.com/huggingface/datasets/pull/1900 | 810,512,488 | MDExOlB1bGxSZXF1ZXN0NTc1MTkxNTc3 | 1,900 | Issue #1895: Bugfix for string_to_arrow timestamp[ns] support | {
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"OK! Thank you for the review - I will follow up with a separate PR for the comments here (https://github.com/huggingface/datasets/pull/1900#discussion_r578319725)!"
] | 1,613,593,564,000 | 1,613,759,231,000 | 1,613,759,231,000 | CONTRIBUTOR | null | Should resolve https://github.com/huggingface/datasets/issues/1895
The main part of this PR adds additional parsing in `string_to_arrow` to convert the timestamp dtypes that result from `str(pa_type)` back into the pa.DataType TimestampType.
While adding unit-testing, I noticed that support for the double/float t... | {
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https://api.github.com/repos/huggingface/datasets/issues/1899 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1899/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1899/comments | https://api.github.com/repos/huggingface/datasets/issues/1899/events | https://github.com/huggingface/datasets/pull/1899 | 810,308,332 | MDExOlB1bGxSZXF1ZXN0NTc1MDIxMjc4 | 1,899 | Fix: ALT - fix duplicated examples in alt-parallel | {
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This was due to a bad copy of a python dict.
This PR fixes that. | {
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https://api.github.com/repos/huggingface/datasets/issues/1898 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1898/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1898/comments | https://api.github.com/repos/huggingface/datasets/issues/1898/events | https://github.com/huggingface/datasets/issues/1898 | 810,157,251 | MDU6SXNzdWU4MTAxNTcyNTE= | 1,898 | ALT dataset has repeating instances in all splits | {
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"Thanks for reporting. This looks like a very bad issue. I'm looking into it",
"I just merged a fix, we'll do a patch release soon. Thanks again for reporting, and sorry for the inconvenience.\r\nIn the meantime you can load `ALT` using `datasets` from the master branch",
"Thanks!!! works perfectly in the blead... | 1,613,566,302,000 | 1,613,715,526,000 | 1,613,715,526,000 | NONE | null | The [ALT](https://huggingface.co/datasets/alt) dataset has all the same instances within each split :/
Seemed like a great dataset for some experiments I wanted to carry out, especially since its medium-sized, and has all splits.
Would be great if this could be fixed :)
Added a snapshot of the contents from `exp... | {
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https://api.github.com/repos/huggingface/datasets/issues/1897 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1897/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1897/comments | https://api.github.com/repos/huggingface/datasets/issues/1897/events | https://github.com/huggingface/datasets/pull/1897 | 810,113,263 | MDExOlB1bGxSZXF1ZXN0NTc0ODU3MTIy | 1,897 | Fix PandasArrayExtensionArray conversion to native type | {
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However previously pandas.core.internals.ExtensionBlock.to_native_types would fail with an PandasExtensionArray because
1. the PandasExtensionArray.isna metho... | {
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https://api.github.com/repos/huggingface/datasets/issues/1895 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1895/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1895/comments | https://api.github.com/repos/huggingface/datasets/issues/1895/events | https://github.com/huggingface/datasets/issues/1895 | 809,630,271 | MDU6SXNzdWU4MDk2MzAyNzE= | 1,895 | Bug Report: timestamp[ns] not recognized | {
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"Thanks for reporting !\r\n\r\nYou're right, `string_to_arrow` should be able to take `\"timestamp[ns]\"` as input and return the right pyarrow timestamp type.\r\nFeel free to suggest a fix for `string_to_arrow` and open a PR if you want to contribute ! This would be very appreciated :)\r\n\r\nTo give you more cont... | 1,613,507,884,000 | 1,613,759,231,000 | 1,613,759,231,000 | CONTRIBUTOR | null | Repro:
```
from datasets import Dataset
import pandas as pd
import pyarrow
df = pd.DataFrame(pd.date_range("2018-01-01", periods=3, freq="H"))
pyarrow.Table.from_pandas(df)
Dataset.from_pandas(df)
# Throws ValueError: Neither timestamp[ns] nor timestamp[ns]_ seems to be a pyarrow data type.
```
The fact... | {
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https://api.github.com/repos/huggingface/datasets/issues/1894 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1894/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1894/comments | https://api.github.com/repos/huggingface/datasets/issues/1894/events | https://github.com/huggingface/datasets/issues/1894 | 809,609,654 | MDU6SXNzdWU4MDk2MDk2NTQ= | 1,894 | benchmarking against MMapIndexedDataset | {
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"Hi sam !\r\nIndeed we can expect the performances to be very close since both MMapIndexedDataset and the `datasets` implem use memory mapping. With memory mapping what determines the I/O performance is the speed of your hard drive/SSD.\r\n\r\nIn terms of performance we're pretty close to the optimal speed for read... | 1,613,505,898,000 | 1,613,587,948,000 | null | CONTRIBUTOR | null | I am trying to benchmark my datasets based implementation against fairseq's [`MMapIndexedDataset`](https://github.com/pytorch/fairseq/blob/master/fairseq/data/indexed_dataset.py#L365) and finding that, according to psrecord, my `datasets` implem uses about 3% more CPU memory and runs 1% slower for `wikitext103` (~1GB o... | {
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https://api.github.com/repos/huggingface/datasets/issues/1893 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1893/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1893/comments | https://api.github.com/repos/huggingface/datasets/issues/1893/events | https://github.com/huggingface/datasets/issues/1893 | 809,556,503 | MDU6SXNzdWU4MDk1NTY1MDM= | 1,893 | wmt19 is broken | {
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"This was also mentioned in https://github.com/huggingface/datasets/issues/488 \r\n\r\nThe bucket where is data was stored seems to be unavailable now. Maybe we can change the URL to the ones in https://conferences.unite.un.org/uncorpus/en/downloadoverview ?",
"Closing since this has been fixed by #1912"
] | 1,613,500,798,000 | 1,614,793,322,000 | 1,614,793,322,000 | MEMBER | null | 1. Check which lang pairs we have: `--dataset_name wmt19`:
Please pick one among the available configs: ['cs-en', 'de-en', 'fi-en', 'gu-en', 'kk-en', 'lt-en', 'ru-en', 'zh-en', 'fr-de']
2. OK, let's pick `ru-en`:
`--dataset_name wmt19 --dataset_config "ru-en"`
no cookies:
```
Traceback (most recent c... | {
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https://api.github.com/repos/huggingface/datasets/issues/1892 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1892/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1892/comments | https://api.github.com/repos/huggingface/datasets/issues/1892/events | https://github.com/huggingface/datasets/issues/1892 | 809,554,174 | MDU6SXNzdWU4MDk1NTQxNzQ= | 1,892 | request to mirror wmt datasets, as they are really slow to download | {
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"Yes that would be awesome. Not only the download speeds are awful, but also some files are missing.\r\nWe list all the URLs in the datasets/wmt19/wmt_utils.py so we can make a script to download them all and host on S3.\r\nAlso I think most of the materials are under the CC BY-NC-SA 3.0 license (must double check)... | 1,613,500,571,000 | 1,635,231,342,000 | 1,616,673,203,000 | MEMBER | null | Would it be possible to mirror the wmt data files under hf? Some of them take hours to download and not because of the local speed. They are all quite small datasets, just extremely slow to download.
Thank you! | {
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https://api.github.com/repos/huggingface/datasets/issues/1891 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1891/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1891/comments | https://api.github.com/repos/huggingface/datasets/issues/1891/events | https://github.com/huggingface/datasets/issues/1891 | 809,550,001 | MDU6SXNzdWU4MDk1NTAwMDE= | 1,891 | suggestion to improve a missing dataset error | {
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```
True, predict_with_generate=True)
Traceback (most recent call last):
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https://api.github.com/repos/huggingface/datasets/issues/1890 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1890/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1890/comments | https://api.github.com/repos/huggingface/datasets/issues/1890/events | https://github.com/huggingface/datasets/pull/1890 | 809,395,586 | MDExOlB1bGxSZXF1ZXN0NTc0MjY0OTMx | 1,890 | Reformat dataset cards section titles | {
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https://api.github.com/repos/huggingface/datasets/issues/1889 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1889/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1889/comments | https://api.github.com/repos/huggingface/datasets/issues/1889/events | https://github.com/huggingface/datasets/pull/1889 | 809,276,015 | MDExOlB1bGxSZXF1ZXN0NTc0MTY1NDAz | 1,889 | Implement to_dict and to_pandas for Dataset | {
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"Next step is going to add these two in the documentation ^^"
] | 1,613,479,099,000 | 1,613,673,757,000 | 1,613,673,754,000 | CONTRIBUTOR | null | With options to return a generator or the full dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/1888 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1888/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1888/comments | https://api.github.com/repos/huggingface/datasets/issues/1888/events | https://github.com/huggingface/datasets/pull/1888 | 809,241,123 | MDExOlB1bGxSZXF1ZXN0NTc0MTM2MDU4 | 1,888 | Docs for adding new column on formatted dataset | {
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"Close #1872"
] | 1,613,475,900,000 | 1,617,112,863,000 | 1,613,476,737,000 | MEMBER | null | As mentioned in #1872 we should add in the documentation how the format gets updated when new columns are added
Close #1872 | {
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https://api.github.com/repos/huggingface/datasets/issues/1887 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1887/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1887/comments | https://api.github.com/repos/huggingface/datasets/issues/1887/events | https://github.com/huggingface/datasets/pull/1887 | 809,229,809 | MDExOlB1bGxSZXF1ZXN0NTc0MTI2NTMy | 1,887 | Implement to_csv for Dataset | {
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"@lhoestq I stumbled upon an interesting failure when adding tests for CSV serialization of `ArrayXD` features (see the failing unit tests in the CI)\r\n\r\nIt's due to the fact that booleans cannot be converted from arrow format to numpy without copy: https://arrow.apache.org/docs/python/generated/pyarrow.Array.ht... | 1,613,474,849,000 | 1,613,727,719,000 | 1,613,727,719,000 | CONTRIBUTOR | null | cc @thomwolf
`to_csv` supports passing either a file path or a *binary* file object
The writing is batched to avoid loading the whole table in memory | {
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https://api.github.com/repos/huggingface/datasets/issues/1886 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1886/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1886/comments | https://api.github.com/repos/huggingface/datasets/issues/1886/events | https://github.com/huggingface/datasets/pull/1886 | 809,221,885 | MDExOlB1bGxSZXF1ZXN0NTc0MTE5ODcz | 1,886 | Common voice | {
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"Does it make sense to make the domains as the different languages?\r\nA problem is that you need to download the datasets from the browser.\r\nOne idea would be to either contact Mozilla regarding API access to the dataset or make use of a headless browser for downloading the datasets (might be hard since we have ... | 1,613,474,170,000 | 1,615,315,891,000 | 1,615,315,891,000 | CONTRIBUTOR | null | Started filling out information about the dataset and a dataset card.
To do
Create tagging file
Update the common_voice.py file with more information | {
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@lhoestq | {
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https://api.github.com/repos/huggingface/datasets/issues/1884 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1884/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1884/comments | https://api.github.com/repos/huggingface/datasets/issues/1884/events | https://github.com/huggingface/datasets/pull/1884 | 808,755,894 | MDExOlB1bGxSZXF1ZXN0NTczNzQwNzI5 | 1,884 | dtype fix when using numpy arrays | {
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https://api.github.com/repos/huggingface/datasets/issues/1883 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1883/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1883/comments | https://api.github.com/repos/huggingface/datasets/issues/1883/events | https://github.com/huggingface/datasets/pull/1883 | 808,750,623 | MDExOlB1bGxSZXF1ZXN0NTczNzM2NTIz | 1,883 | Add not-in-place implementations for several dataset transforms | {
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"@lhoestq I am not sure how to test `dictionary_encode_column` (in-place version was not tested before)",
"I can take a look at dictionary_encode_column tomorrow.\r\nAlthough it's likely that it doesn't work then. It was added at the beginning of the lib and never tested nor used afaik.",
"Now let's update the ... | 1,613,414,666,000 | 1,614,178,489,000 | 1,614,178,406,000 | CONTRIBUTOR | null | Should we deprecate in-place versions of such methods? | {
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https://api.github.com/repos/huggingface/datasets/issues/1882 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1882/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1882/comments | https://api.github.com/repos/huggingface/datasets/issues/1882/events | https://github.com/huggingface/datasets/pull/1882 | 808,716,576 | MDExOlB1bGxSZXF1ZXN0NTczNzA4OTEw | 1,882 | Create Remote Manager | {
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"@lhoestq I have refactorized the logic. Instead of the previous hierarchy call (local temp file opening -> remote call -> use again temp local file logic but from within the remote caller scope), now it is flattened. Schematically:\r\n```python\r\nwith src.open() as src_file, dst.open() as dst_file:\r\n src_fil... | 1,613,410,584,000 | 1,615,220,110,000 | null | MEMBER | null | Refactoring to separate the concern of remote (HTTP/FTP requests) management. | {
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https://api.github.com/repos/huggingface/datasets/issues/1881 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1881/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1881/comments | https://api.github.com/repos/huggingface/datasets/issues/1881/events | https://github.com/huggingface/datasets/pull/1881 | 808,578,200 | MDExOlB1bGxSZXF1ZXN0NTczNTk1Nzkw | 1,881 | `list_datasets()` returns a list of strings, not objects | {
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```python
>>> datasets_list = list_datasets()
>>> print(', '.join(dataset.id for dataset in datasets_list))
```
However, my understanding is that `list_datasets()` returns a list of strings rather than a list of objects. | {
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https://api.github.com/repos/huggingface/datasets/issues/1880 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1880/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1880/comments | https://api.github.com/repos/huggingface/datasets/issues/1880/events | https://github.com/huggingface/datasets/pull/1880 | 808,563,439 | MDExOlB1bGxSZXF1ZXN0NTczNTgzNjg0 | 1,880 | Update multi_woz_v22 checksums | {
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I updated them in this PR | {
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https://api.github.com/repos/huggingface/datasets/issues/1879 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1879/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1879/comments | https://api.github.com/repos/huggingface/datasets/issues/1879/events | https://github.com/huggingface/datasets/pull/1879 | 808,541,442 | MDExOlB1bGxSZXF1ZXN0NTczNTY1NDAx | 1,879 | Replace flatten_nested | {
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"Hi @lhoestq. If you agree to merge this, I will start separating the logic for NestedDataStructure.map ;)"
] | 1,613,395,780,000 | 1,613,759,714,000 | 1,613,759,714,000 | MEMBER | null | Replace `flatten_nested` with `NestedDataStructure.flatten`.
This is a first step towards having all NestedDataStructure logic as a separated concern, independent of the caller/user of the data structure.
Eventually, all checks (whether the underlying data is list, dict, etc.) will be only inside this class.
I... | {
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https://api.github.com/repos/huggingface/datasets/issues/1878 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1878/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1878/comments | https://api.github.com/repos/huggingface/datasets/issues/1878/events | https://github.com/huggingface/datasets/pull/1878 | 808,526,883 | MDExOlB1bGxSZXF1ZXN0NTczNTUyODk3 | 1,878 | Add LJ Speech dataset | {
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"Hey @anton-l,\r\n\r\nThanks a lot for the very clean integration!\r\n\r\n1) I think we should now start having \"automatic-speech-recognition\" as a label in the dataset tagger (@yjernite is it easy to add?). But we can surely add this dataset with the tag you've added and then later change the label to `asr` \r\n... | 1,613,394,642,000 | 1,613,417,981,000 | 1,613,398,689,000 | MEMBER | null | This PR adds the LJ Speech dataset (https://keithito.com/LJ-Speech-Dataset/)
As requested by #1841
The ASR format is based on #1767
There are a couple of quirks that should be addressed:
- I tagged this dataset as `other-other-automatic-speech-recognition` and `other-other-text-to-speech` (as classified by pape... | {
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https://api.github.com/repos/huggingface/datasets/issues/1877 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1877/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1877/comments | https://api.github.com/repos/huggingface/datasets/issues/1877/events | https://github.com/huggingface/datasets/issues/1877 | 808,462,272 | MDU6SXNzdWU4MDg0NjIyNzI= | 1,877 | Allow concatenation of both in-memory and on-disk datasets | {
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"I started working on this. My idea is to first add the pyarrow Table wrappers InMemoryTable and MemoryMappedTable that both implement what's necessary regarding copy/pickle. Then have another wrapper that takes the concatenation of InMemoryTable/MemoryMappedTable objects.\r\n\r\nWhat's important here is that conca... | 1,613,389,186,000 | 1,616,777,518,000 | 1,616,777,518,000 | MEMBER | null | This is a prerequisite for the addition of the `add_item` feature (see #1870).
Currently there is one assumption that we would need to change: a dataset is either fully in memory (dataset._data_files is empty), or the dataset can be reloaded from disk (using the dataset._data_files).
This assumption is used for pickl... | {
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https://api.github.com/repos/huggingface/datasets/issues/1876 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1876/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1876/comments | https://api.github.com/repos/huggingface/datasets/issues/1876/events | https://github.com/huggingface/datasets/issues/1876 | 808,025,859 | MDU6SXNzdWU4MDgwMjU4NTk= | 1,876 | load_dataset("multi_woz_v22") NonMatchingChecksumError | {
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"Thanks for reporting !\r\nThis is due to the changes made in the data files in the multiwoz repo: https://github.com/budzianowski/multiwoz/pull/59\r\nI'm opening a PR to update the checksums of the data files.",
"I just merged the fix. It will be available in the new release of `datasets` later today.\r\nYou'll ... | 1,613,330,088,000 | 1,628,100,480,000 | 1,628,100,480,000 | NONE | null | Hi, it seems that loading the multi_woz_v22 dataset gives a NonMatchingChecksumError.
To reproduce:
`dataset = load_dataset('multi_woz_v22','v2.2_active_only',split='train')`
This will give the following error:
```
raise NonMatchingChecksumError(error_msg + str(bad_urls))
datasets.utils.info_utils.N... | {
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https://api.github.com/repos/huggingface/datasets/issues/1875 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1875/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1875/comments | https://api.github.com/repos/huggingface/datasets/issues/1875/events | https://github.com/huggingface/datasets/pull/1875 | 807,887,267 | MDExOlB1bGxSZXF1ZXN0NTczMDM2NzE0 | 1,875 | Adding sari metric | {
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