sign-language-processing/datasets

(how2sign) unable to download dataset

Closed this issue · 2 comments

I can't download how2sign dataset with below code

config = SignDatasetConfig(name="only-annotations", version="1.0.0", include_video=False, include_pose=None)
how2sign = tfds.load(name='how2sign', builder_kwargs=dict(config=config))

It gets an error:
DatasetNotFoundError: Dataset how2sign not found.

I tried with how_2sign as suggested but it seems the download url has died.

Hi! how2_sign seems to be correct name of the dataset. If the download fails for some specific URLs, can you try to simply restart the download? Previously downloaded files should be cached.

Hi, sorry for not getting to this earlier, it slipped from my radar.
The full error is below, and it ends with Did you mean: how2sign -> how2_sign

Please try how2_sign instead

FULL ERROR
tensorflow_datasets.core.registered.DatasetNotFoundError: Dataset how2sign not found.
Available datasets:
	- abstract_reasoning
	- accentdb
	- aeslc
	- aflw2k3d
	- ag_news_subset
	- ai2_arc
	- ai2_arc_with_ir
	- amazon_us_reviews
	- anli
	- answer_equivalence
	- arc
	- aslg_pc12
	- asqa
	- asset
	- assin2
	- autsl
	- bair_robot_pushing_small
	- bccd
	- beans
	- bee_dataset
	- beir
	- big_patent
	- bigearthnet
	- billsum
	- binarized_mnist
	- binary_alpha_digits
	- ble_wind_field
	- blimp
	- booksum
	- bool_q
	- bsl_corpus
	- c4
	- caltech101
	- caltech_birds2010
	- caltech_birds2011
	- cardiotox
	- cars196
	- cassava
	- cats_vs_dogs
	- celeb_a
	- celeb_a_hq
	- cfq
	- cherry_blossoms
	- chexpert
	- chicago_fs_wild
	- cifar10
	- cifar100
	- cifar10_1
	- cifar10_corrupted
	- citrus_leaves
	- cityscapes
	- civil_comments
	- clevr
	- clic
	- clinc_oos
	- cmaterdb
	- cnn_dailymail
	- coco
	- coco_captions
	- coil100
	- colorectal_histology
	- colorectal_histology_large
	- common_voice
	- coqa
	- cos_e
	- cosmos_qa
	- covid19
	- covid19sum
	- crema_d
	- criteo
	- cs_restaurants
	- curated_breast_imaging_ddsm
	- cycle_gan
	- d4rl_adroit_door
	- d4rl_adroit_hammer
	- d4rl_adroit_pen
	- d4rl_adroit_relocate
	- d4rl_antmaze
	- d4rl_mujoco_ant
	- d4rl_mujoco_halfcheetah
	- d4rl_mujoco_hopper
	- d4rl_mujoco_walker2d
	- dart
	- davis
	- deep1b
	- deep_weeds
	- definite_pronoun_resolution
	- dementiabank
	- dgs_corpus
	- dgs_types
	- diabetic_retinopathy_detection
	- diamonds
	- dicta_sign
	- div2k
	- dmlab
	- doc_nli
	- dolphin_number_word
	- domainnet
	- downsampled_imagenet
	- drop
	- dsprites
	- dtd
	- duke_ultrasound
	- e2e_cleaned
	- efron_morris75
	- emnist
	- eraser_multi_rc
	- esnli
	- eurosat
	- fashion_mnist
	- flic
	- flores
	- food101
	- forest_fires
	- fuss
	- gap
	- geirhos_conflict_stimuli
	- gem
	- genomics_ood
	- german_credit_numeric
	- gigaword
	- glove100_angular
	- glue
	- goemotions
	- gov_report
	- gpt3
	- gref
	- groove
	- grounded_scan
	- gsm8k
	- gtzan
	- gtzan_music_speech
	- hellaswag
	- higgs
	- hillstrom
	- horses_or_humans
	- how2_sign
	- howell
	- i_naturalist2017
	- i_naturalist2018
	- imagenet2012
	- imagenet2012_corrupted
	- imagenet2012_fewshot
	- imagenet2012_multilabel
	- imagenet2012_real
	- imagenet2012_subset
	- imagenet_a
	- imagenet_lt
	- imagenet_r
	- imagenet_resized
	- imagenet_sketch
	- imagenet_v2
	- imagenette
	- imagewang
	- imdb_reviews
	- irc_disentanglement
	- iris
	- istella
	- kddcup99
	- kitti
	- kmnist
	- lambada
	- lfw
	- librispeech
	- librispeech_lm
	- libritts
	- ljspeech
	- lm1b
	- locomotion
	- lost_and_found
	- lsun
	- lvis
	- malaria
	- math_dataset
	- math_qa
	- mctaco
	- media_sum
	- mlqa
	- mnist
	- mnist_corrupted
	- movie_lens
	- movie_rationales
	- movielens
	- moving_mnist
	- mrqa
	- mslr_web
	- mt_opt
	- multi_news
	- multi_nli
	- multi_nli_mismatch
	- natural_questions
	- natural_questions_open
	- newsroom
	- ngt_corpus
	- nsynth
	- nyu_depth_v2
	- ogbg_molpcba
	- omniglot
	- open_images_challenge2019_detection
	- open_images_v4
	- openbookqa
	- opinion_abstracts
	- opinosis
	- opus
	- oxford_flowers102
	- oxford_iiit_pet
	- para_crawl
	- pass
	- patch_camelyon
	- paws_wiki
	- paws_x_wiki
	- penguins
	- pet_finder
	- pg19
	- piqa
	- places365_small
	- plant_leaves
	- plant_village
	- plantae_k
	- protein_net
	- qa4mre
	- qasc
	- quac
	- quality
	- quickdraw_bitmap
	- race
	- radon
	- reddit
	- reddit_disentanglement
	- reddit_tifu
	- ref_coco
	- resisc45
	- rlu_atari
	- rlu_atari_checkpoints
	- rlu_atari_checkpoints_ordered
	- rlu_control_suite
	- rlu_dmlab_explore_object_rewards_few
	- rlu_dmlab_explore_object_rewards_many
	- rlu_dmlab_rooms_select_nonmatching_object
	- rlu_dmlab_rooms_watermaze
	- rlu_dmlab_seekavoid_arena01
	- rlu_locomotion
	- rlu_rwrl
	- robomimic_ph
	- robonet
	- robosuite_panda_pick_place_can
	- rock_paper_scissors
	- rock_you
	- rwth_phoenix2014_t
	- s3o4d
	- salient_span_wikipedia
	- samsum
	- savee
	- scan
	- scene_parse150
	- schema_guided_dialogue
	- sci_tail
	- scicite
	- scientific_papers
	- scrolls
	- sentiment140
	- shapes3d
	- sift1m
	- sign2_mint
	- sign_bank
	- sign_suisse
	- sign_typ
	- simpte
	- siscore
	- smallnorb
	- smartwatch_gestures
	- snli
	- so2sat
	- speech_commands
	- spoken_digit
	- squad
	- squad_question_generation
	- stanford_dogs
	- stanford_online_products
	- star_cfq
	- starcraft_video
	- stl10
	- story_cloze
	- summscreen
	- sun397
	- super_glue
	- svhn_cropped
	- swojs_glossario
	- symmetric_solids
	- tao
	- ted_hrlr_translate
	- ted_multi_translate
	- tedlium
	- tf_flowers
	- the300w_lp
	- tiny_shakespeare
	- titanic
	- trec
	- trivia_qa
	- tydi_qa
	- uc_merced
	- ucf101
	- unified_qa
	- vctk
	- visual_domain_decathlon
	- voc
	- voxceleb
	- voxforge
	- waymo_open_dataset
	- web_graph
	- web_nlg
	- web_questions
	- wider_face
	- wiki40b
	- wiki_auto
	- wiki_bio
	- wiki_dialog
	- wiki_table_questions
	- wiki_table_text
	- wikiann
	- wikihow
	- wikipedia
	- wikipedia_toxicity_subtypes
	- wine_quality
	- winogrande
	- wit
	- wit_kaggle
	- wlasl
	- wmt13_translate
	- wmt14_translate
	- wmt15_translate
	- wmt16_translate
	- wmt17_translate
	- wmt18_translate
	- wmt19_translate
	- wmt_t2t_translate
	- wmt_translate
	- wmtslt
	- wordnet
	- wsc273
	- xnli
	- xquad
	- xsum
	- xtreme_pawsx
	- xtreme_s
	- xtreme_xnli
	- yelp_polarity_reviews
	- yes_no
	- youtube_vis

Check that:
    - if dataset was added recently, it may only be available
      in `tfds-nightly`
    - the dataset name is spelled correctly
    - dataset class defines all base class abstract methods
    - the module defining the dataset class is imported

Did you mean: how2sign -> how2_sign