progress

README.md

@@ -1,22 +1,253 @@
 ---
 pretty_name: NENA Speech Dataset 1.0 (test)
-language: 
-  - aii
-  - cld
 annotations_creators:
   - crowdsourced
+  - Geoffrey Khan
+  - Matthew Nazari
 language_creators:
   - crowdsourced
+language:
+  - aii
+  - cld
+  - huy
+  - lsd
+  - trg
+  - aij
+  - bhn
+  - hrt
+  - kqd
+  - syn
 license:
   - cc0-1.0
+multilinguality:
+  - multilingual
+task_categories:
+  - automatic-speech-recognition
+  - text-to-speech
+  - translation
+extra_gated_prompt: >-
+  By clicking on “Access repository” below, you also agree to not attempt to
+  determine the identity of speakers in the NENA Speech dataset.
 ---
-# NENA Speech Dataset
 
-## Context
-The [Northeastern Neo-Aramaic (NENA) Database Project](https://nena.ames.cam.ac.uk/) has been aggregating language documentation materials for the NENA dialects. These materials include descriptions, including [a description of the dialect of the Assyrian Christians of Urmi](https://drive.google.com/file/d/1k7QXjjxakQN87c0p-SAcUwnxY_JbrKj9/view?usp=drive_link). This description contains 300 pages (8 hours) of transcribed and translated oral literature. These oral literatures are [actively being parsed](https://github.com/mattynaz/nena-dataset-parsing) and uploaded to a database at [pocketbase.nenadb.dev](https://pocketbase.nenadb.dev/_). The platform [crowdsource.nenadb.dev](https://crowdsource.nenadb.dev/) allows the community to directly engage with these parsed examples and contribute their own voices to the database.
+# Dataset Card for NENA Speech Dataset 1.0 (test)
+
+## Dataset Description
+
+The Northeastern Neo-Aramaic (NENA) dialects form a very diverse group of Aramaic dialects spoken by Christian and Jewish communities in northern Iraq, northwestern Iran, and southeastern Türkiye.
+
+NENA Speech is a multimodal dataset of audio, transcription, and translation.
+
+<!-- The [Northeastern Neo-Aramaic Database Project](https://nena.ames.cam.ac.uk/), lead by Geoffrey Khan, has been creating language documentation materials for the NENA dialects. These materials include corpora of oral literatures. These oral literatures are being parsed [crowdsource.nenadb.dev](https://crowdsource.nenadb.dev/) allows the community to directly engage with these parsed examples and contribute their own voices to the database. -->
+
+## How to use
+
+The `datasets` library allows you to load and pre-process your dataset in pure Python, at scale. The dataset can be downloaded and prepared in one call to your local drive by using the `load_dataset` function. 
+
+For example, to download the Hindi config, simply specify the corresponding language config name (i.e., "hi" for Hindi):
+```python
+from datasets import load_dataset
+
+cv_13 = load_dataset("mozilla-foundation/common_voice_13_0", "hi", split="train")
+```
+
+Using the datasets library, you can also stream the dataset on-the-fly by adding a `streaming=True` argument to the `load_dataset` function call. Loading a dataset in streaming mode loads individual samples of the dataset at a time, rather than downloading the entire dataset to disk.
+```python
+from datasets import load_dataset
+
+cv_13 = load_dataset("mozilla-foundation/common_voice_13_0", "hi", split="train", streaming=True)
+
+print(next(iter(cv_13)))
+```
+
+*Bonus*: create a [PyTorch dataloader](https://huggingface.co/docs/datasets/use_with_pytorch) directly with your own datasets (local/streamed).
+
+### Local
+
+```python
+from datasets import load_dataset
+from torch.utils.data.sampler import BatchSampler, RandomSampler
+
+cv_13 = load_dataset("mozilla-foundation/common_voice_13_0", "hi", split="train")
+batch_sampler = BatchSampler(RandomSampler(cv_13), batch_size=32, drop_last=False)
+dataloader = DataLoader(cv_13, batch_sampler=batch_sampler)
+```
+
+### Streaming
+
+```python
+from datasets import load_dataset
+from torch.utils.data import DataLoader
+
+cv_13 = load_dataset("mozilla-foundation/common_voice_13_0", "hi", split="train")
+dataloader = DataLoader(cv_13, batch_size=32)
+```
+
+To find out more about loading and preparing audio datasets, head over to [hf.co/blog/audio-datasets](https://huggingface.co/blog/audio-datasets).
+
+### Example scripts
+
+Train your own CTC or Seq2Seq Automatic Speech Recognition models on Common Voice 13 with `transformers` - [here](https://github.com/huggingface/transformers/tree/main/examples/pytorch/speech-recognition).
+
+## Dataset Structure
+
+### Data Instances
+
+A typical data point comprises the `path` to the audio file and its `sentence`. 
+Additional fields include `accent`, `age`, `client_id`, `up_votes`, `down_votes`, `gender`, `locale` and `segment`.
+
+```python
+{
+  'client_id': 'd59478fbc1ee646a28a3c652a119379939123784d99131b865a89f8b21c81f69276c48bd574b81267d9d1a77b83b43e6d475a6cfc79c232ddbca946ae9c7afc5', 
+  'path': 'et/clips/common_voice_et_18318995.mp3', 
+  'audio': {
+    'path': 'et/clips/common_voice_et_18318995.mp3', 
+    'array': array([-0.00048828, -0.00018311, -0.00137329, ...,  0.00079346, 0.00091553,  0.00085449], dtype=float32), 
+    'sampling_rate': 48000
+  }, 
+  'sentence': 'Tasub kokku saada inimestega, keda tunned juba ammust ajast saati.', 
+  'up_votes': 2, 
+  'down_votes': 0, 
+  'age': 'twenties', 
+  'gender': 'male', 
+  'accent': '', 
+  'locale': 'et', 
+  'segment': ''
+}
+```
+
+### Data Fields
+
+`client_id` (`string`): An id for which client (voice) made the recording
+
+`path` (`string`): The path to the audio file
+
+`audio` (`dict`): A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: `dataset[0]["audio"]` the audio file is automatically decoded and resampled to `dataset.features["audio"].sampling_rate`. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the `"audio"` column, *i.e.* `dataset[0]["audio"]` should **always** be preferred over `dataset["audio"][0]`.
+
+`sentence` (`string`): The sentence the user was prompted to speak
+
+`up_votes` (`int64`): How many upvotes the audio file has received from reviewers
+
+`down_votes` (`int64`): How many downvotes the audio file has received from reviewers
+
+`age` (`string`): The age of the speaker (e.g. `teens`, `twenties`, `fifties`)
+
+`gender` (`string`): The gender of the speaker
+
+`accent` (`string`): Accent of the speaker
+
+`locale` (`string`): The locale of the speaker
 
-## Goal
-The goal is to publish this dataset to [HuggingFace](https://huggingface.co/). Mozilla's [Common Voice dataset](https://huggingface.co/datasets/mozilla-foundation/common_voice_13_0/tree/main) provides an example implementation of such a dataset. 
+`segment` (`string`): Usually an empty field
+
+### Data Splits
+
+The speech material has been subdivided into portions for dev, train, test, validated, invalidated, reported and other.
+
+The validated data is data that has been validated with reviewers and received upvotes that the data is of high quality.
+
+The invalidated data is data has been invalidated by reviewers
+and received downvotes indicating that the data is of low quality.
+
+The reported data is data that has been reported, for different reasons.
+
+The other data is data that has not yet been reviewed.
+
+The dev, test, train are all data that has been reviewed, deemed of high quality and split into dev, test and train.
+
+## Data Preprocessing Recommended by Hugging Face
+
+The following are data preprocessing steps advised by the Hugging Face team. They are accompanied by an example code snippet that shows how to put them to practice. 
+
+Many examples in this dataset have trailing quotations marks, e.g _“the cat sat on the mat.“_. These trailing quotation marks do not change the actual meaning of the sentence, and it is near impossible to infer whether a sentence is a quotation or not a quotation from audio data alone. In these cases, it is advised to strip the quotation marks, leaving: _the cat sat on the mat_.
+
+In addition, the majority of training sentences end in punctuation ( . or ? or ! ), whereas just a small proportion do not. In the dev set, **almost all** sentences end in punctuation. Thus, it is recommended to append a full-stop ( . ) to the end of the small number of training examples that do not end in punctuation.
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("mozilla-foundation/common_voice_13_0", "en", use_auth_token=True)
+
+def prepare_dataset(batch):
+  """Function to preprocess the dataset with the .map method"""
+  transcription = batch["sentence"]
+  
+  if transcription.startswith('"') and transcription.endswith('"'):
+    # we can remove trailing quotation marks as they do not affect the transcription
+    transcription = transcription[1:-1]
+  
+  if transcription[-1] not in [".", "?", "!"]:
+    # append a full-stop to sentences that do not end in punctuation
+    transcription = transcription + "."
+  
+  batch["sentence"] = transcription
+  
+  return batch
+
+ds = ds.map(prepare_dataset, desc="preprocess dataset")
+```
+
+## Dataset Creation
+
+### Curation Rationale
+
+[Needs More Information]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[Needs More Information]
+
+#### Who are the source language producers?
+
+[Needs More Information]
+
+### Annotations
+
+#### Annotation process
+
+[Needs More Information]
+
+#### Who are the annotators?
+
+[Needs More Information]
+
+### Personal and Sensitive Information
+
+The dataset consists of people who have donated their voice online.  You agree to not attempt to determine the identity of speakers in the Common Voice dataset.
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+The dataset consists of people who have donated their voice online.  You agree to not attempt to determine the identity of speakers in the Common Voice dataset.
+
+### Discussion of Biases
+
+[More Information Needed] 
+
+### Other Known Limitations
+
+[More Information Needed] 
+
+## Additional Information
+
+### Licensing Information
+
+Public Domain, [CC-0](https://creativecommons.org/share-your-work/public-domain/cc0/)
+
+### Citation Information
+
+```
+@inproceedings{commonvoice:2020,
+  author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},
+  title = {Common Voice: A Massively-Multilingual Speech Corpus},
+  booktitle = {Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)},
+  pages = {4211--4215},
+  year = 2020
+}
+```
 
 ## Development
 

audio/alanish/dev.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0e98c3944bf8fceafab6aa48bc9d23910f888ba1ae83d9819ef5b8a63b989075
+oid sha256:93a14f53be85536c532ace48df41e2f01a5a9cf4a0c38599cac068601dd2e8a9
 size 10240

audio/alanish/test.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:518ded64b45602e97d3d69902c48e1deac2241333928106f6f60f62d8cc9dc93
+oid sha256:a9fdea6253e7d470b7db19d8a7f37c41edfc51ad1fbde771e418ea0973b8828a
 size 10240

audio/alanish/train.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7ccdb05852b7dab40ec266719e825abb3f7610d24a8a0772a059b385dd900db7
+oid sha256:61e598cfe39f231477e1330f3b0550e8163fc3dde7b19da4ef8aa5ad4529a790
 size 10240

audio/alqosh/dev.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:59534ef55d37a17163a8e6b65d054e4e797b29042bb443d0b9134eaa4194d459
+oid sha256:152694234b786bfa59e51aeeb59b5b30fe70492e2b2cef98e708a78ceab81588
 size 10240

audio/alqosh/test.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d0cab3ec0361a3d38a81733daacf11109acaa6e97880319150e6f8bf89232ecc
+oid sha256:e053892305e7ec576934e8bec81e152509ef71804d7b94f32a8f0c45cc269edb
 size 10240

audio/alqosh/train.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4846dd14242f6ada65704f45ce40ded20cc1642afc219d79cac8d502efe8a1d0
+oid sha256:d356021285adc729b1fa1b2e73b0bb99dae8aab78b6e27519d886f83c3b6bb08
 size 10240

audio/amedia (christian)/dev.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f8a1c1c1623a72dc3ac3aa3f4853262662e39ab6e54be8b131d66767601479d2
+oid sha256:8f12c862046f5198cf2020e25eadee7820fa7679d8f09b10eca0122ffb44f364
 size 10240

audio/amedia (christian)/test.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cd0dcf7263d1313a5377d4a0f2dba7d4946ab18a934fd5cf483855d9941c0b07
+oid sha256:51670124a7854bdb45a84752ab02b050a024a030917cb38e59d6d4cd5745f16c
 size 10240

audio/amedia (christian)/train.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e16c88f9e6572cc4019a397b69e680f5f93b9a2fe24a4e6cdaad0355829d1bd8
+oid sha256:110a3c0be46c63adc09a9c4ae7dd06120f4ab47f80353b266b59e645cc0b4797
 size 10240

audio/amedia (jewish)/dev.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:62117da9542fbb5035fcd73b52be884ea2c4903435b17ea1a6748f0d6ec544d6
+oid sha256:96e7b33c2d1e51e036fcee4698189fd62e30a0cff51e6163eaa3c9c9a55ea8ab
 size 10240

audio/amedia (jewish)/test.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:86a09d06de8e5a78b4f0aff1e2256f79470e377dfcb43a34b87affb14ece2163
+oid sha256:eca5854913f7e27b5c63b392f23f342c74178ec8aa334969987a0efecbea2952
 size 10240

audio/amedia (jewish)/train.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:79ab19cb78597acfd825ce49c1adf71b55775faffea9aacde5e46ad32973db36
+oid sha256:7882ce082b49d4dcd99a9a7dcf028a4e5ef41ec929bb41622c129d7cfce06c7a
 size 10240

audio/ankawa/dev.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c6af60fba701e40a357bd801b3ea234f81dfed7e16f154b52c1b05934278d5cb
+oid sha256:4cac428c5603eafad8603ed54945cd6f0d3e76d374985486c0a04af9e2cd80b0
 size 10240

audio/ankawa/test.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:99478ac706f264b96c6279c222e2e0dbd4d22feccba4ca36c634f5f704cb8a8d
+oid sha256:e19c1908e69e63c6fce6c77e5b480b07030e3297dd3951e4919d776285d0c8e5
 size 10240

audio/ankawa/train.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0d21254a6548c58d0add901fc0b989cf493afd339cc52c1cdebc497b053e82a5
+oid sha256:d90871bafd0dd299751c9922c69737de3ae4ffddb6442e575b07f08d79490dfa
 size 10240

audio/aqra (town)/dev.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e3712b0cad7f3d2b835c5b312046c7880cd60ff3cac8eaf58b6ccd3a83a21239
+oid sha256:242cb453bc38e12ee3e2ae8e69bc90ac86a677914ec1e95552d481cb480fbf53
 size 10240

audio/aqra (town)/test.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7c0793998205672c96c27cba048e9361c7b8fbd279055b15a7f2e47ad6d04b6a
+oid sha256:53762c81e19c36b0f0d548ee7b6a8387e131128cbf4b5998762aa714e884ca15
 size 10240

audio/aqra (town)/train.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6f496f4525ce5d619d6686943dc820b5e06da9bce6a2dc8416d9c11a4b4e907d
+oid sha256:15be5792f7742a32ab375ec6c82872809e92bca793dba5a688c7b2f62e0957ef
 size 10240

audio/aqra (xərpa)/dev.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c7f4edf2f2fbac1a2dc4360b9aa94c8ad020ae4ea7bd379402cce18db2a1aedb
+oid sha256:a3e6c127a28b729cdf11e4a56ffad107a936221671fc00acd4cc09f861c6ac09
 size 10240

audio/aqra (xərpa)/test.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9273c2eae786621295dd311d8859bbdc2a082a83d0c132845bb9e46f63fface8
+oid sha256:63d9c68134a654636cf705ccdb4e7e770eaf823bac09a4f8f50e63b36c6b2acf
 size 10240

audio/aqra (xərpa)/train.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f4b9c910852c34ffede39d24272eed3b1703e882294019a5d3a3c66de59ab0ed
+oid sha256:9e9a24b1e7d2eeacb462fafc4b6ccea13f2b9d3251b7d63dabaa46a60f01b7a7
 size 10240

audio/aradhin (christian)/dev.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:34b8a77c6e78e5d673f04bebfa9a936e16236f853b0dc4dcdad7bef9da32155e
+oid sha256:fe6f9a4d8fa86c2236d115d75754120aa922358e4ac84d47af9315e021f50fbe
 size 10240

audio/aradhin (christian)/test.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bca029402298c2c191e39ee95869c17d10d8875085d33e2a61d1bfef3ffe38d5
+oid sha256:a03147d18c10fe8dbc27887bbc1117d61a979e8266b71310895fef5fbcf6c5f3
 size 10240

audio/aradhin (christian)/train.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b711830b8c7734ed3835b5a78aa0b3521df0051855543d9e754069a34d442fe9
+oid sha256:4343d47306962b0bdb96a7fad41a9bf10806ba2411fcfef2060fe99c055c8c74
 size 10240

audio/aradhin (jewish)/dev.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c16eddb40a90920289efb34f8748af51e3841034f25dfb94abb1c5f107173db9
+oid sha256:b5cfe2076d30a63f82c03c1bdeec9e8fe9c058d8f47078f720e2ac2a41123074
 size 10240

audio/aradhin (jewish)/test.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f872b2237a4ac4b898cf2ce61aa7673f5fd9c20825fcef7ccbc5daf898f68194
+oid sha256:9fe3be876443af68b99d7fd9fa37adb3e8902293d55b4fc14e3dc1b68423eb89
 size 10240

audio/aradhin (jewish)/train.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9520e70fff8f0172f1e9a168b44c4462e0458bc7dd9e69895c01875c82160821
+oid sha256:404ad94372b35c6ddeceeea0fdf22026b19c81f65029762e54382cdf61d141fb
 size 10240

audio/arbel/dev.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:33e273bcbfd43ec8ed4aca28c3a2e30d17b75639cb83e8325bc8c132575dd8c1
+oid sha256:f99ce537d67fa4feaa1a9eba6085a6d200f7fe322789a8267ba182a2f1cdb35a
 size 10240

audio/arbel/test.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:70e482c4d97d2a600c533b112a43cfe84a6353b0d94aea2b7eab09bb7410e680
+oid sha256:03732777c9fcbb32e748ebd8eaa5b722d33d0f748658a5773e696aac86407724
 size 10240

audio/arbel/train.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:065e0444987405998e2e4c26974b97a7a21a1d4e112113ae1e306cc0c56b981d
+oid sha256:9edb28921c5966ce0ac5cbc0967d2714ff17026eb7e44d02bc01c7f7852d0139
 size 10240

audio/arbuš/dev.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2dd75a2b91d973eaaff096d94ebb38a800b8732b12c873388336ac3bd9633046
+oid sha256:d996080c7cebd0483706ee0a95387aab6a963bcedb90f99938d342ded505e5d6
 size 10240

audio/arbuš/test.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7af5cab68823a5dc20b5b0946dc0ea22cb3a6bdf78f6eb86a569228268eb4013
+oid sha256:0cc5a5a88978fb9c09490d8ec37f9a50fc27e60d84897c25da2237c6af30c30a
 size 10240

audio/arbuš/train.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:927b700c5f1ba2a35a0de65c75ac93f80be00ed2a2be5373959ecae74f43f8ed
+oid sha256:46136641db0bb7638b5b0b109ed0d73ac9ba007cf275056f436d6a57ed42708e
 size 10240

audio/ashitha/dev.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8618237141990f29f9e0d829727f05ff7ab2a90e998d4002529689ac7bace49c
+oid sha256:343b5366e8a6a209de94c32fbdefc381ebc783a414c34e02aa5054ba50954658
 size 10240

audio/ashitha/test.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f4d55dd6eff85d6afd2a9b1770618a72864e979a82d2761227541ab6a57cf1d6
+oid sha256:39845f9c10f1ab7e6f6d1c13b6e3bc573961883f32a42310ca00fca3618e7745
 size 10240

audio/ashitha/train.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:de8ae76ee54c4ce6c8f5169271ec9eb42c80417b16dfc838b8ce0dfb9176acf6
+oid sha256:8bc7e045478f7cbcc54af2e25663ff9d4c9e284d4260df347372b81a13f936ae
 size 10240

audio/azax/dev.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8462b4233ff643ca793d7575931627ef3990fcaab8ebbba0e81c2b7845f42c51
+oid sha256:7f0fd7785063a48c90723194ba8f3e9ee5fab4b59c643a12dc040cf7d466194a
 size 10240

audio/azax/test.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9e1de02020476d0c08169134cce12c821a90f644d0f18712793852a0d9e5894b
+oid sha256:3153c540ceaf6503114a26bbb261a27b43bbfb59eb216746b5b97bdc2defae49
 size 10240

audio/azax/train.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:799a3be980c81e0f737b2fd8f92c1a27d4f739e376076001d908c3c0eae889b8
+oid sha256:940e12ed056ed558ec960c234db5a0a53e3842139e93a1c4ff3bfa24d58658d4
 size 10240

audio/baqopa/dev.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:00566d96a31fa49677fdcef58829670abee4cfb3debb370eef6539317b9a4eb1
+oid sha256:d9180c42f10f1c02d08ff096ecfbb0afbaca3a4e537eefb3d082aaccfab890e6
 size 10240

audio/baqopa/test.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:150ee224a854ccbad0e5ec2b4acd5308254ab2c022cd2ce38f68e95e661a99f4
+oid sha256:b920777fbfdb7b0fc3e36bc66bdc812440d9dd101adab236575cd7cbe54fef19
 size 10240

audio/baqopa/train.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f180cca1e1f1aa0d945d5a9310ea96795a58028cae99f6dc252870c25550bc93
+oid sha256:96b4d7572fafd80f5f6a389afe2aefeb1b743ce2ef9345ad7da2c498f8c22129
 size 10240

audio/bariṭle/dev.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3d926d80618731d75cb45803e3e2a0297daf3a4169362519324317f7e108ac12
+oid sha256:8ffea364bd3b6308793e505c3343575cce29023b4f1bf50d410dd6957ea2c6c8
 size 10240

audio/bariṭle/test.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3c94ed6b989513a0c2918cfd2ae28621c5178fdfdd5da427c8502c84e90d5a15
+oid sha256:6126b496f4302edc6372fbd2a1b083ef06eb03752bdf88812908855a0f8ae13f
 size 10240

audio/bariṭle/train.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0f518c931e20210891a1563258e0b31a360b079795b84160d9f843dbcd7d1825
+oid sha256:920de598a612f844bb77f52417271faec45e6019fdbe484ec8d54ff8bc76318a
 size 10240

audio/barwar of qočanəṣ/dev.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d37985656bca809bf3da42eaac48933aed1e8fda9c19ef38a118dcc8d7ec53b9
+oid sha256:bcb1ff62fb4bc67ea1ec8299a24177665010f53cd950d9627b9a6459206af415
 size 10240

audio/barwar of qočanəṣ/test.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:eb3aea8580d5e8df8fc3bf4b3427322332e97f1de589ed41ae531fecf173615e
+oid sha256:5a25be1c44bce1aff638ef4ac94faf82472b4dd8b6ed4ee33616d647c0f39fa9
 size 10240

audio/barwar of qočanəṣ/train.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:aba232d5f6f0edc52356be5f41048e0c036a340779f9fea40d347189a908be51
+oid sha256:9f178fa0ad78656be23b675dcae686398b7f8aaa6b223e5a886d266e5b66498e
 size 10240

audio/barwar/dev.tar

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:091f4f09b09e7c48c980b3fb209afec4e6befb73078806e127810780c76de39d
+oid sha256:3770d9b322c890b5cf3bedd18ef74e46ab6f093139a84db7f120b8857f5c50e2
 size 10240