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value:The URL hashes are helpful for comparing results from other sources.
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value:Add text dataset
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value:Usage: ```python from nlp import load_dataset dset = load_dataset("text", data_files="/path/to/file.txt")["train"] ``` I created a dummy_data.zip which contains three files: `train.txt`, `test.txt`, `dev.txt`. Each of these contains two lines. It passes ```bash RUN_SLOW=1 pytest tests/test_dataset_...
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value:can't load SNLI dataset
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value:`nlp` seems to load `snli` from some URL based on nlp.stanford.edu. This subdomain is frequently down -- including right now, when I'd like to load `snli` in a Colab notebook, but can't. Is there a plan to move these datasets to huggingface servers for a more stable solution? Btw, here's the stack trace: ...
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value:Allow users to specify a faiss index they created themselves, as sometimes indexes can be composite for examples
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value:[Dataset requests] New datasets for Text Classification
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value:We are missing a few datasets for Text Classification which is an important field. Namely, it would be really nice to add: - [x] TREC-6 dataset (see here for instance: https://pytorchnlp.readthedocs.io/en/latest/source/torchnlp.datasets.html#torchnlp.datasets.trec_dataset) **[done]** - #386 - [x] Yelp-5 ...
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value:🐛[BugFix]fix seqeval
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value:Fix seqeval process labels such as 'B', 'B-ARGM-LOC'
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value:Create a dataset from serialized pandas dataframes. Usage: ```python from nlp import load_dataset dset = load_dataset("pandas", data_files="df.pkl")["train"] ```
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value:add from_pandas and from_dict
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value:I added two new methods to the `Dataset` class: - `from_pandas()` to create a dataset from a pandas dataframe - `from_dict()` to create a dataset from a dictionary (keys = columns) It uses the `pa.Table.from_pandas` and `pa.Table.from_pydict` funcitons to do so. It is also possible to specify the features t...
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value:Hyperpartisan news detection
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value:Adding the hyperpartisan news detection dataset from PAN. This contains news article text, labelled with whether they're hyper-partisan and why kinds of biases they display. Implementation notes: - As with many PAN tasks, the data is hosted on [Zenodo](https://zenodo.org/record/1489920) and must be requested ...
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value:I don't know if tests pass, when I run them it tries to download the whole corpus which is around 3.5TB compressed and I don't have that kind of space. I'll really need some help with it 😅 Thanks!
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value:![image](https://user-images.githubusercontent.com/50871412/86744744-67481680-c06c-11ea-8612-b77eba92a392.png) I guess the error is related to python source encoding issue that my PC is trying to decode the source code with wrong encoding-decoding tools, perhaps : https://www.python.org/dev/peps/pep-0263/ ...
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value:Hello 🤗 team! I am trying to add an emotion classification dataset ([link](https://github.com/dair-ai/emotion_dataset)) to `nlp` but I am a bit stuck about what I should do when the URL for the dataset is not a ZIP file, but just a pickled `pandas.DataFrame` (see [here](https://www.dropbox.com/s/607ptdakxuh5...
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value:Supporting documents in ELI5
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value:I was attempting to use the ELI5 dataset, when I realized that huggingface does not provide the supporting documents (the source documents from the common crawl). Without the supporting documents, this makes the dataset about as useful for my project as a block of cheese, or some other more apt metaphor. Accordi...
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value:Search qa
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value:This PR adds the Search QA dataset used in **SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine**. The dataset has the following config name: - raw_jeopardy: raw data - train_test_val: which is the splitted version #336
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value:Fix nested tensorflow format
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value:In #339 and #337 we are thinking about adding a way to export datasets to tfrecords. However I noticed that it was not possible to do `dset.set_format("tensorflow")` on datasets with nested features like `squad`. I fixed that using a nested map operations to convert features to `tf.ragged.constant`. I also ...
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value:Features should be updated when `map()` changes schema
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value:`dataset.map()` can change the schema and column names. We should update the features in this case (with what is possible to infer).
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value:add fever dataset
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value:This PR add the FEVER dataset https://fever.ai/ used in with the paper: FEVER: a large-scale dataset for Fact Extraction and VERification (https://arxiv.org/pdf/1803.05355.pdf). #336
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value:Make the dataset name consistent with in the paper: Compositional Freebase Question => Compositional Freebase Questions.
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value:Fixes https://github.com/huggingface/nlp/issues/337 Some design decisions: - Simplified the function API to not handle sharding. It writes the entire dataset as a single TFRecord file. This simplifies the function logic and users can use other functions (`select`, `shard`, etc) to handle custom sharding or ...
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value:Run `make style`
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value:These files get changed when I run `make style` on an unrelated PR. Upstreaming these changes so development on a different branch can be easier.
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value:[Feature request] Export Arrow dataset to TFRecords
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value:The TFRecord generation process is error-prone and requires complex separate Python scripts to download and preprocess the data. I propose to combine the user-friendly features of `nlp` with the speed and efficiency of TFRecords. Sample API: ```python # use these existing methods ds = load_dataset("wikitext"...
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value:[Dataset requests] New datasets for Open Question Answering
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value:We are still a few datasets missing for Open-Question Answering which is currently a field in strong development. Namely, it would be really nice to add: - WebQuestions (Berant et al., 2013) [done] - CuratedTrec (Baudis et al. 2015) [not open-source] - MS-MARCO (NGuyen et al. 2016) [done] - SearchQA (Dunn ...
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value:BioMRC Dataset presented in BioNLP 2020 ACL Workshop
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value:Add dataset.shard() method
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value:Fixes https://github.com/huggingface/nlp/issues/312
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value:fix variable name typo
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value:Presented in the [Dense Passage Retrieval paper](https://arxiv.org/pdf/2004.04906.pdf), this dataset consists in 21M passages from the english wikipedia along with their 768-dim embeddings computed using DPR's context encoder. Note on the implementation: - There are two configs: with and without the embedding...
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value:Loading CNN/Daily Mail dataset produces `nlp.utils.info_utils.NonMatchingSplitsSizesError`
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value:``` >>> import nlp >>> nlp.load_dataset('cnn_dailymail', '3.0.0') Downloading and preparing dataset cnn_dailymail/3.0.0 (download: 558.32 MiB, generated: 1.26 GiB, total: 1.81 GiB) to /u/jm8wx/.cache/huggingface/datasets/cnn_dailymail/3.0.0/3.0.0... Traceback (most recent call last): File "<stdin>", line...
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value:Adding [DocRED](https://github.com/thunlp/DocRED) - a relation extraction dataset which tests document-level RE. A few implementation notes: - There are 2 separate versions of the training set - *annotated* and *distant*. Instead of `nlp.Split.Train` I've used the splits `"train_annotated"` and `"train_distant...
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value:I'm downloading a dataset successfully with `load_dataset("wikitext", "wikitext-2-raw-v1")` But when I attempt to cache it on an external volume, it hangs indefinitely: `load_dataset("wikitext", "wikitext-2-raw-v1", cache_dir="/fsx") # /fsx is an external volume mount` The filesystem when hanging looks li...
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value:We have a multi-task learning model training I'm trying to convert to using the Arrow-based nlp dataset. We're currently training a custom TensorFlow model but the nlp paradigm should be a bridge for us to be able to use the wealth of pre-trained models in Transformers. Our preprocessing flow parses raw te...
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value:set seed for suffling tests
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value:Some tests were randomly failing because of a missing seed in a test for `train_test_split(shuffle=True)`
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value:Large dataset in Squad2-format
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value:At the moment we are building an large question answering dataset and think about sharing it with the huggingface community. Caused the computing power we splitted it into multiple tiles, but they are all in the same format. Right now the most important facts about are this: - Contexts: 1.047.671 - questions:...
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value:Add SQuADShifts dataset
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value:This PR adds the four new variants of the SQuAD dataset used in [The Effect of Natural Distribution Shift on Question Answering Models](https://arxiv.org/abs/2004.14444) to facilitate evaluating model robustness to distribution shift.
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value:Error when calculating glue score
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value:I was trying glue score along with other metrics here. But glue gives me this error; ``` import nlp glue_metric = nlp.load_metric('glue',name="cola") glue_score = glue_metric.compute(predictions, references) ``` ``` --------------------------------------------------------------------------- --------...
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value:This fixes the `coval.py` metric so that imports within the downloaded module work correctly. We can use a similar trick to add the BLEURT metric (@ankparikh) @thomwolf not sure how you feel about adding to the `PYTHONPATH` from the script. This is the only way I could make it work with my understanding of `im...
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value:output nested dict in get_nearest_examples
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value:As we are using a columnar format like arrow as the backend for datasets, we expect to have a dictionary of columns when we slice a dataset like in this example: ```python my_examples = dataset[0:10] print(type(my_examples)) # >>> dict print(my_examples["my_column"][0] # >>> this is the first element of the...
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value:Hi, I am trying to download some wikipedia data but I got this error for spanish "es" (but there are maybe some others languages which have the same error I haven't tried all of them ). `ERROR:root:mwparserfromhell ParseError: This is a bug and should be reported. Info: C tokenizer exited with non-empty tok...
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value:Blog Authorship Corpus, Non Matching Splits Sizes Error, nlp viewer
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value:Selecting `blog_authorship_corpus` in the nlp viewer throws the following error: ``` NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train', num_bytes=610252351, num_examples=532812, dataset_name='blog_authorship_corpus'), 'recorded': SplitInfo(name='train', num_bytes=614706451, num_examples=53556...
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value:Nested sequences with dicts
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value:Am pretty much finished [adding a dataset](https://github.com/ghomasHudson/nlp/blob/DocRED/datasets/docred/docred.py) for [DocRED](https://github.com/thunlp/DocRED), but am getting an error when trying to add a nested `nlp.features.sequence(nlp.features.sequence({key:value,...}))`. The original data is in thi...
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value:Following our discussion in #217, I've implemented a first working version of `MultiDataset`. There's a function `build_multitask()` which takes either individual `nlp.Dataset`s or `dicts` of splits and constructs `MultiDataset`(s). I've added a notebook with example usage. I've implemented many of the `nlp...
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value:I intent to add the datasets of the MT Quality Estimation shared tasks to `nlp`. However, they have different subtasks -- such as word-level, sentence-level and document-level quality estimation, each of which having different language pairs, and some of the data reused in different subtasks. For example, in [...
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value:add AG News dataset
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value:adds support for the AG-News topic classification dataset
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value:[Question] Best way to batch a large dataset?
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value:I'm training on large datasets such as Wikipedia and BookCorpus. Following the instructions in [the tutorial notebook](https://colab.research.google.com/github/huggingface/nlp/blob/master/notebooks/Overview.ipynb), I see the following recommended for TensorFlow: ```python train_tf_dataset = train_tf_dataset.f...
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value:Fixed singlular very minor spelling error
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value:An instance of "independantly" was changed to "independently". That's all.
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value:Adding the [Modified Winograd Schema Challenge](https://github.com/salesforce/decaNLP/blob/master/local_data/schema.txt) dataset which formed part of the [decaNLP](http://decanlp.com/) benchmark. Not sure how much use people would find for it it outside of the benchmark, but it is general purpose. Code is heav...
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value:[Feature request] Add `shard()` method to dataset
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value:Currently, to shard a dataset into 10 pieces on different ranks, you can run ```python rank = 3 # for example size = 10 dataset = nlp.load_dataset('wikitext', 'wikitext-2-raw-v1', split=f"train[{rank*10}%:{(rank+1)*10}%]") ``` However, this breaks down if you have a number of ranks that doesn't divide c...
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value:Adding the QA-ZRE dataset from ["Zero-Shot Relation Extraction via Reading Comprehension"](http://nlp.cs.washington.edu/zeroshot/). A common processing step seems to be replacing the `XXX` placeholder with the `subject`. I've left this out as it's something you could easily do with `map`.
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value:add wikisql
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value:Adding the [WikiSQL](https://github.com/salesforce/WikiSQL) dataset. Interesting things to note: - Have copied the function (`_convert_to_human_readable`) which converts the SQL query to a human-readable (string) format as this is what most people will want when actually using this dataset for NLP application...
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value:Add narrative qa
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value:Test cases for dummy data don't pass Only contains data for summaries (not whole story)
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value:Specify utf-8 encoding for MRPC files
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value:Fixes #307, again probably a Windows-related issue.
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value:Same as #242, but with MRPC: on Windows, I get a `UnicodeDecodeError` when I try to download the dataset: ```python dataset = nlp.load_dataset('glue', 'mrpc') ``` ```python Downloading and preparing dataset glue/mrpc (download: Unknown size, generated: Unknown size, total: Unknown size) to C:\Users\Python\...
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value:add pg19 dataset
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value:https://github.com/huggingface/nlp/issues/274 Add functioning PG19 dataset with dummy data `cos_e.py` was just auto-linted by `make style`
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value:The `get_imports` function in `src/nlp/load.py` has a feature to download a package as a zip archive of the github repository and import functions from the unpacked directory. This is used for example in the `metrics/coval.py` file, and would be useful to add BLEURT (@ankparikh). Currently however, the code se...
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value:Problem while printing doc string when instantiating multiple metrics.
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value:2020-07-22T09:50:58Z
value:When I load more than one metric and try to print doc string of a particular metric,. It shows the doc strings of all imported metric one after the other which looks quite confusing and clumsy. Attached [Colab](https://colab.research.google.com/drive/13H0ZgyQ2se0mqJ2yyew0bNEgJuHaJ8H3?usp=sharing) Notebook for pr...
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value:Users are allowed to use the `cache_dir` that they want. Therefore it can happen that we try to move files across filesystems. We were using `os.rename` that doesn't allow that, so I changed some of them to `shutil.move`. This should fix #301
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value:An emerging field in NLP is SLP - sign language processing. I was wondering about adding datasets here, specifically because it's shaping up to be large and easily usable. The metrics for sign language to text translation are the same. So, what do you think about (me, or others) adding datasets here? ...
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value:Setting cache_dir gives error on wikipedia download
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value:First of all thank you for a super handy library! I'd like to download large files to a specific drive so I set `cache_dir=my_path`. This works fine with e.g. imdb and squad. But on wikipedia I get an error: ``` nlp.load_dataset('wikipedia', '20200501.de', split = 'train', cache_dir=my_path) ``` ``` OSError ...
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value:Fix bertscore references
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value:I added some type checking for metrics. There was an issue where a metric could interpret a string a a list. A `ValueError` is raised if a string is given instead of a list. Moreover I added support for both strings and lists of strings for `references` in `bertscore`, as it is the case in the original code. ...
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value:remove some print in snli file
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value:This PR removes unwanted `print` statements in some files such as `snli.py`
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value:# Better support for Numpy format + Add Indexed Datasets I was working on adding Indexed Datasets but in the meantime I had to also add more support for Numpy arrays in the lib. ## Better support for Numpy format New features: - New fast method to convert Numpy arrays from Arrow structure (up to x100 sp...
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value:Error in Demo for Specific Datasets
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value:Selecting `natural_questions` or `newsroom` dataset in the online demo results in an error similar to the following. ![image](https://user-images.githubusercontent.com/60150701/85347842-ac861900-b4ae-11ea-98c4-a53a00934783.png)
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value:snli -1 labels
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value:2020-06-23T14:41:58Z
value:I'm trying to train a model on the SNLI dataset. Why does it have so many -1 labels? ``` import nlp from collections import Counter data = nlp.load_dataset('snli')['train'] print(Counter(data['label'])) Counter({0: 183416, 2: 183187, 1: 182764, -1: 785}) ```
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value:Hi, I am the author of `bert_score`. Recently, we received [ an issue ](https://github.com/Tiiiger/bert_score/issues/62) reporting a problem in using `bert_score` from the `nlp` package (also see #238 in this repo). After looking into this, I realized that the problem arises from the format `nlp.Metric` take...
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value:Cannot load arxiv dataset on MacOS?
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value:I am having trouble loading the `"arxiv"` config from the `"scientific_papers"` dataset on MacOS. When I try loading the dataset with: ```python arxiv = nlp.load_dataset("scientific_papers", "arxiv") ``` I get the following stack trace: ```bash JSONDecodeError Traceback (most...
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value:This PR disables testing for community datasets on aws. It should fix the CI that is currently failing.
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value:Thank you for featuring the x_stance dataset in your library. This PR updates some metadata: - Citation: Replace preprint with proceedings - URL: Use a URL with long-term availability
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value:Hi, I have a problem with downloading Eli5 dataset. When typing `nlp.load_dataset('eli5')`, I get ConnectionError: Couldn't reach https://storage.googleapis.com/huggingface-nlp/cache/datasets/eli5/LFQA_reddit/1.0.0/explain_like_im_five-train_eli5.arrow I would appreciate if you could help me with this issue.
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value:This PR makes the following update to the xsum dataset: - Manual download is not required anymore - dataset can be loaded as follow: `nlp.load_dataset('xsum')` **Important** Instead of using on outdated url to download the data: "https://raw.githubusercontent.com/EdinburghNLP/XSum/master/XSum-Datase...
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value:Error at the first example in README: AttributeError: module 'dill' has no attribute '_dill'
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value:Fix #280 The imports were wrong
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value:Add ANLI dataset.
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value:I completed all the steps in https://github.com/huggingface/nlp/blob/master/CONTRIBUTING.md#how-to-add-a-dataset and push the code for ANLI. Please let me know if there are any errors.
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value:This PR replaces the static `DatasetBulider` variable `MANUAL_DOWNLOAD_INSTRUCTIONS` by a property function `manual_download_instructions()`. Some datasets like XTREME and all WMT need the manual data dir only for a small fraction of the possible configs. After some brainstorming with @mariamabarham and @l...
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value:Consistent formatting of citations
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value:The citations are all of a different format, some have "```" and have text inside, others are proper bibtex. Can we make it so that they all are proper citations, i.e. parse by the bibtex spec: https://bibtexparser.readthedocs.io/en/master/
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value:Update dataset_info from gcs
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value:Some datasets are hosted on gcs (wikipedia for example). In this PR I make sure that, when a user loads such datasets, the file_instructions are built using the dataset_info.json from gcs and not from the info extracted from the local `dataset_infos.json` (the one that contain the info for each config). Indeed lo...
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value:Hi all, Thanks for this fantastic library, it makes it very easy to do prototyping for NLP projects interchangeably between TF/Pytorch. Unfortunately, there is data that cannot easily be shared publicly as it may contain sensitive information. Is there support/a plan to support such data with NLP, e.g. by ...
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value:I can't seem to import squad v2 metrics. **squad_metric = nlp.load_metric('squad_v2')** **This throws me an error.:** ``` ImportError Traceback (most recent call last) <ipython-input-8-170b6a170555> in <module> ----> 1 squad_metric = nlp.load_metric('squad_v2') ~/en...
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value:Dataset Preprocessing Cache with .map() function not working as expected
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value:I've been having issues with reproducibility when loading and processing datasets with the `.map` function. I was only able to resolve them by clearing all of the cache files on my system. Is there a way to disable using the cache when processing a dataset? As I make minor processing changes on the same datas...
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value:Hi, first off let me say thank you for all the awesome work you're doing at Hugging Face across all your projects (NLP, Transformers, Tokenizers) - they're all amazing contributions to us working with NLP models :) I'm trying to download the German Wikipedia dataset as follows: ``` wiki = nlp.load_dataset(...
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value:Empty samples in glue/qqp
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value:``` qqp = nlp.load_dataset('glue', 'qqp') print(qqp['train'][310121]) print(qqp['train'][362225]) ``` ``` {'question1': 'How can I create an Android app?', 'question2': '', 'label': 0, 'idx': 310137} {'question1': 'How can I develop android app?', 'question2': '', 'label': 0, 'idx': 362246} ``` Notice th...
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value:Fix metric compute (original_instructions missing)
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value:When loading arrow data we added in cc8d250 a way to specify the instructions that were used to store them with the loaded dataset. However metrics load data the same way but don't need instructions (we use one single file). In this PR I just make `original_instructions` optional when reading files to load a ...
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value:I get this error when i run `nlp.load_dataset('scientific_papers', 'pubmed', split = 'train[:50%]')`. The error is: ``` --------------------------------------------------------------------------- NonMatchingChecksumError Traceback (most recent call last) <ipython-input-2-7742dea167d0> in <...
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value:Hi, and thanks for all your open-sourced work, as always! I was wondering if you would be open to adding PG-19 to your collection of datasets. https://github.com/deepmind/pg19 It is often used for benchmarking long-range language modeling.
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value:update cos_e to add cos_e v1.0
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value:This PR updates the cos_e dataset to add v1.0 as requested here #163 @nazneenrajani
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value:Fix allociné dataset configuration
value:2020-06-13T10:12:10Z
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value:This is a patch for #244. According to the [live nlp viewer](url), the Allociné dataset must be loaded with : ```python dataset = load_dataset('allocine', 'allocine') ``` This is redundant, as there is only one "dataset configuration", and should only be: ```python dataset = load_dataset('allocine') ``` ...
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value:c4 dataset is not viewable in nlpviewer demo
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value:2020-10-27T15:35:13Z
value:I get the following error when I try to view the c4 dataset in [nlpviewer](https://huggingface.co/nlp/viewer/) ```python ModuleNotFoundError: No module named 'langdetect' Traceback: File "/home/sasha/.local/lib/python3.7/site-packages/streamlit/ScriptRunner.py", line 322, in _run_script exec(code, modu...
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value:Error in metric.compute: missing `original_instructions` argument
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value:2020-06-18T07:41:44Z
value:I'm running into an error using metrics for computation in the latest master as well as version 0.2.1. Here is a minimal example: ```python import nlp rte_metric = nlp.load_metric('glue', name="rte") rte_metric.compute( [0, 0, 1, 1], [0, 1, 0, 1], ) ``` ``` 181 # Read the pre...
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value:add Rotten Tomatoes Movie Review sentences sentiment dataset
value:2020-06-12T15:53:59Z
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value:Sentence-level movie reviews v1.0 from here: http://www.cs.cornell.edu/people/pabo/movie-review-data/
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value:How can I load/find WMT en-romanian?
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value:2020-06-19T08:24:19Z
value:I believe it is from `wmt16` When I run ```python wmt = nlp.load_dataset('wmt16') ``` I get: ```python AssertionError: The dataset wmt16 with config cs-en requires manual data. Please follow the manual download instructions: Some of the wmt configs here, require a manual download. Please look i...
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value:Add sort, shuffle, test_train_split and select methods
value:2020-06-11T16:22:20Z
value:MEMBER
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value:Add a bunch of methods to reorder/split/select rows in a dataset: - `dataset.select(indices)`: Create a new dataset with rows selected following the list/array of indices (which can have a different size than the dataset and contain duplicated indices, the only constrain is that all the integers in the list must...
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value:When a user installs `nlp` on google colab, then google colab doesn't update pyarrow, and the runtime needs to be restarted to use the updated version of pyarrow. This is an issue because `nlp` requires the updated version to work correctly. In this PR I added en error that is shown to the user in google co...
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value:Fix many small issues mentioned in #249: - don't force to install apache beam for commands - fix None cache dir when using `dl_manager.download_custom` - added new extras in `setup.py` named `dev` that contains tests and quality dependencies - mock dataset sizes when running tests with dummy data - add a not...
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value:[Feature request] Support for external modality for language datasets
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value:# Background In recent years many researchers have advocated that learning meanings from text-based only datasets is just like asking a human to "learn to speak by listening to the radio" [[E. Bender and A. Koller,2020](https://openreview.net/forum?id=GKTvAcb12b), [Y. Bisk et. al, 2020](https://arxiv.org/abs/2...
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value:Add new dataset ANLI Round 1
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value:Adding new dataset [ANLI](https://github.com/facebookresearch/anli/). I'm not familiar with how to add new dataset. Let me know if there is any issue. I only include round 1 data here. There will be round 2, round 3 and more in the future with potentially different format. I think it will be better to separate...
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value:Downloading dataset error with pyarrow.lib.RecordBatch
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value:I am trying to download `sentiment140` and I have the following error ``` /usr/local/lib/python3.6/dist-packages/nlp/load.py in load_dataset(path, name, version, data_dir, data_files, split, cache_dir, download_config, download_mode, ignore_verifications, save_infos, **config_kwargs) 518 download...
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value:Consistency fixes
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value:A few bugs I've found while hacking
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value:documentation missing how to split a dataset
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value:I am trying to understand how to split a dataset ( as arrow_dataset). I know I can do something like this to access a split which is already in the original dataset : `ds_test = nlp.load_dataset('imdb, split='test') ` But how can I split ds_test into a test and a validation set (without reading the data ...
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value:Why is dataset after tokenization far more larger than the orginal one ?
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value:I tokenize wiki dataset by `map` and cache the results. ``` def tokenize_tfm(example): example['input_ids'] = hf_fast_tokenizer.convert_tokens_to_ids(hf_fast_tokenizer.tokenize(example['text'])) return example wiki = nlp.load_dataset('wikipedia', '20200501.en', cache_dir=cache_dir)['train'] wiki.map...
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