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dogtooth/gemma-2-9b-it_generated_helpsteer2_binarized_gold
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dogtooth
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allenai/open_instruct: Rejection Sampling Dataset
See https://github.com/allenai/open-instruct/blob/main/docs/algorithms/rejection_sampling.md for more detail
Configs
args:
{'add_timestamp': False,
'hf_entity': 'dogtooth',
'hf_repo_id': 'gemma-2-9b-it_generated_helpsteer2_binarized_gold',
'hf_repo_id_scores': 'rejection_sampling_scores',
'include_reference_completion_for_rejection_sampling': True,
'input_filename':… See the full description on the dataset page: https://huggingface.co/datasets/dogtooth/gemma-2-9b-it_generated_helpsteer2_binarized_gold.
|
epr-labs/maestro-sustain-v2
|
epr-labs
|
Dataset Card for "maestro-sustain-v2"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_1
|
HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_1"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_2
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HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_2"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_3
|
HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_3"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_4
|
HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_4"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_5
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HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_5"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_6
|
HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_6"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_7
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HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_7"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_8
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HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_8"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_9
|
HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_9"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_10
|
HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_10"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_11
|
HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_11"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_12
|
HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_12"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_13
|
HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_13"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_14
|
HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_14"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_15
|
HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_15"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_16
|
HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_16"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_17
|
HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_17"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_18
|
HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_18"
More Information needed
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FrancophonIA/Impec
|
FrancophonIA
|
Dataset origin: https://www.ortolang.fr/market/corpora/impec
Description
Au sein du laboratoire ICAR, spécialisé dans l’analyse des interactions, un sous-groupe de recherche « Interactions Multimodales Par ECran » (IMPEC) cherche à explorer les spécificités des situations qui articulent à la fois des interactions présentielles (Traverso 2016) et distancielles (Develotte, Kern, Lamy, 2011).
Dans cette perspective, un atelier exploratoire a été organisé en 2016-2017 consistant… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/Impec.
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_19
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HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_19"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_20
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_20"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_21
|
HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_21"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_22
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_22"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_23
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HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_23"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_24
|
HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_24"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_25
|
HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_25"
More Information needed
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FrancophonIA/PELCRA
|
FrancophonIA
|
Dataset origin: https://inventory.clarin.gr/corpus/665
Description
A subset of the PELCRA Polish parallel corpora licensed under the CC-BY license. This resource contains 11300 texts in 6 languages from the CORDIS website, 5556 texts in 28 languages from the RAPID site, 3037 press releases of the European Parliament in 22 languages and 109 press releases of the European Southern Observatory in 17 languages. The texts are sentence-aligned with the mAligna aligner using the… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/PELCRA.
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_26
|
HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_26"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_27
|
HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_27"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_28
|
HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_28"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_29
|
HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_29"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_30
|
HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_30"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_31
|
HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_31"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_32
|
HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_32"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_33
|
HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_33"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_34
|
HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_34"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_35
|
HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_35"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_36
|
HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_36"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_37
|
HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_37"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_38
|
HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_38"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_39
|
HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_39"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_40
|
HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_40"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_41
|
HamdanXI
|
Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_41"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_42
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_42"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_43
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_43"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_44
|
HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_44"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_45
|
HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_45"
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_46
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_46"
More Information needed
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dogtooth/off-policy-0.1-with-on-policy-0.1-iter1_generated_helpsteer2_binarized_gold
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dogtooth
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allenai/open_instruct: Rejection Sampling Dataset
See https://github.com/allenai/open-instruct/blob/main/docs/algorithms/rejection_sampling.md for more detail
Configs
args:
{'add_timestamp': False,
'hf_entity': 'dogtooth',
'hf_repo_id': 'off-policy-0.1-with-on-policy-0.1-iter1_generated_helpsteer2_binarized_gold',
'hf_repo_id_scores': 'rejection_sampling_scores',
'include_reference_completion_for_rejection_sampling': True,
'input_filename':… See the full description on the dataset page: https://huggingface.co/datasets/dogtooth/off-policy-0.1-with-on-policy-0.1-iter1_generated_helpsteer2_binarized_gold.
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dogtooth/off-policy-0.1-with-on-policy-0.1-iter2_generated_helpsteer2_binarized_gold
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dogtooth
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allenai/open_instruct: Rejection Sampling Dataset
See https://github.com/allenai/open-instruct/blob/main/docs/algorithms/rejection_sampling.md for more detail
Configs
args:
{'add_timestamp': False,
'hf_entity': 'dogtooth',
'hf_repo_id': 'off-policy-0.1-with-on-policy-0.1-iter2_generated_helpsteer2_binarized_gold',
'hf_repo_id_scores': 'rejection_sampling_scores',
'include_reference_completion_for_rejection_sampling': True,
'input_filename':… See the full description on the dataset page: https://huggingface.co/datasets/dogtooth/off-policy-0.1-with-on-policy-0.1-iter2_generated_helpsteer2_binarized_gold.
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open-llm-leaderboard/CohereForAI__aya-expanse-32b-details
|
open-llm-leaderboard
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Dataset Card for Evaluation run of CohereForAI/aya-expanse-32b
Dataset automatically created during the evaluation run of model CohereForAI/aya-expanse-32b
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/CohereForAI__aya-expanse-32b-details.
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dogtooth/off-policy-0.1-with-on-policy-0.1-iter3_generated_helpsteer2_binarized_gold
|
dogtooth
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allenai/open_instruct: Rejection Sampling Dataset
See https://github.com/allenai/open-instruct/blob/main/docs/algorithms/rejection_sampling.md for more detail
Configs
args:
{'add_timestamp': False,
'hf_entity': 'dogtooth',
'hf_repo_id': 'off-policy-0.1-with-on-policy-0.1-iter3_generated_helpsteer2_binarized_gold',
'hf_repo_id_scores': 'rejection_sampling_scores',
'include_reference_completion_for_rejection_sampling': True,
'input_filename':… See the full description on the dataset page: https://huggingface.co/datasets/dogtooth/off-policy-0.1-with-on-policy-0.1-iter3_generated_helpsteer2_binarized_gold.
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dogtooth/off-policy-0.1-with-on-policy-0.1-iter4_generated_helpsteer2_binarized_gold
|
dogtooth
|
allenai/open_instruct: Rejection Sampling Dataset
See https://github.com/allenai/open-instruct/blob/main/docs/algorithms/rejection_sampling.md for more detail
Configs
args:
{'add_timestamp': False,
'hf_entity': 'dogtooth',
'hf_repo_id': 'off-policy-0.1-with-on-policy-0.1-iter4_generated_helpsteer2_binarized_gold',
'hf_repo_id_scores': 'rejection_sampling_scores',
'include_reference_completion_for_rejection_sampling': True,
'input_filename':… See the full description on the dataset page: https://huggingface.co/datasets/dogtooth/off-policy-0.1-with-on-policy-0.1-iter4_generated_helpsteer2_binarized_gold.
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arthur801031/voxact-b
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arthur801031
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VoxAct-B: Voxel-Based Acting and Stabilizing Policy for Bimanual Manipulation (CoRL 2024)
Datasets for VoxAct-B.
[Project website] [Paper]
Authors: I-Chun Arthur Liu, Sicheng He, Daniel Seita*, Gaurav S. Sukhatme* (* equal advising).
Bimanual manipulation is critical to many robotics applications. In contrast to single-arm manipulation, bimanual manipulation tasks are challenging due to higher-dimensional action spaces. Prior works leverage large amounts of data and primitive… See the full description on the dataset page: https://huggingface.co/datasets/arthur801031/voxact-b.
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MullerVon/itamanga.com
|
MullerVon
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https://www.itamanga.com/Italiano/6.html
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CarrotAI/Korean-Common
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CarrotAI
|
Dataset Detail
It is a learning dataset of 100,000 in Korean.
LLM 학습용도로 만들어진 한국어 데이터셋입니다.
@article{KoreanCommon,
title={CarrotAI/Korean-Common Card},
author={CarrotAI (L, GEUN)},
year={2024},
url = {https://huggingface.co/datasets/CarrotAI/Korean-Common}
}
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siimh/estonian_corpus_2021
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siimh
|
Estonian National Corpus 2021: Morphologically Tagged and Clean Text
Dataset Summary
This repository contains two versions of the Estonian National Corpus 2021, representing around 43GB of data and millions of sentences annotated with morphological features. This corpus is designed to be useful for:
Morphological analysis.
Natural language understanding for Estonian.
Both files in this dataset originate from the Estonian National Corpus (ENC) 2021 and have been… See the full description on the dataset page: https://huggingface.co/datasets/siimh/estonian_corpus_2021.
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WhiskyNick/eval_match_in_case_test
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WhiskyNick
|
This dataset was created using LeRobot.
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cjfcsjt/142_sft_rft_dpo_v2
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cjfcsjt
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webshopv_sft300_3hist_rft_dpo_v2
This model is a fine-tuned version of /mnt/nvme0n1p1/hongxin_li/jingfan/LLaMA-Factory/models/qwen2_vl_lora_sft_rft_v2 on the vl_dpo_data dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were… See the full description on the dataset page: https://huggingface.co/datasets/cjfcsjt/142_sft_rft_dpo_v2.
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voices365/Chinese_Female_001VoiceArtist_40Hours_High_Quality_Voice_Dataset
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voices365
|
Dataset Description
This Dataset was recorded by a professional Chinese voice artist, female, the total length is around 40 hours.
There are different emotion styles in this dataset, including but not limited to Sad, Calm, Advertising, E-learning.
For more details, please refer to the link: www.vodataset.com or email [email protected].
Audio Format
48,000Hz, 24bit, wav, mono.
Recording Environment
Professional Recording Studio.… See the full description on the dataset page: https://huggingface.co/datasets/voices365/Chinese_Female_001VoiceArtist_40Hours_High_Quality_Voice_Dataset.
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seastar105/denoised-reazonspeech-v2-dnsmos
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seastar105
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DNSMOS score of reazon-speech-v2-denoised
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Almheiri/MMLU_ExpertPrompt_RAG_03
|
Almheiri
|
This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge, covering 57 tasks including elementary mathematics, US history, computer science, law, and more.
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tinycrops/mmlu-lojban
|
tinycrops
|
MMLU Lojban Translation Dataset
This dataset contains English-to-Lojban translations of the MMLU (Massive Multitask Language Understanding) benchmark questions.
Dataset Structure
Each example contains:
question: Original English question from MMLU
translation: Lojban translation of the question
subject: Subject area of the question
answer: Correct answer (A, B, C, or D)
choice_A: Option A
choice_B: Option B
choice_C: Option C
choice_D: Option D
Model… See the full description on the dataset page: https://huggingface.co/datasets/tinycrops/mmlu-lojban.
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changhaonan/RPLBenchDataInfer
|
changhaonan
|
This dataset was created using LeRobot.
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voices365/Chinese_Male_002VoiceArtist_22Hours_High_Quality_Voice_Dataset
|
voices365
|
Dataset Description
This Dataset was recorded by a professional Chinese voice artist,Male, the total length is around 22 hours.
There are different styles in this dataset, including but not limited to E-learning, tour guide.
For more details, please refer to the link: www.vodataset.com or email [email protected].
Audio Format
48,000Hz, 24bit, wav, mono.
Recording Environment
Professional Recording Studio.
Recording Content… See the full description on the dataset page: https://huggingface.co/datasets/voices365/Chinese_Male_002VoiceArtist_22Hours_High_Quality_Voice_Dataset.
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voices365/Cantonese_Female_003VoiceArtist_10Hours_High_Quality_Voice_Dataset
|
voices365
|
Dataset Description
This Dataset was recorded by a professional Cantonese voice artist, female, the total length is around 10 hours.
There are different emotion styles in this dataset.
For more details, please refer to the link: www.vodataset.com or email [email protected].
Audio Format
48,000Hz, 24bit, wav, mono.
Recording Environment
Professional Recording Studio.
Recording Content
Different texts with different emotion styles… See the full description on the dataset page: https://huggingface.co/datasets/voices365/Cantonese_Female_003VoiceArtist_10Hours_High_Quality_Voice_Dataset.
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lianghsun/Taiwan_c4
|
lianghsun
|
Dataset Card for lianghsun/Taiwan_c4
徵求熱情的你一同來過濾資料 :p
這個專案不同於大多數 C4 資料集的 repo，後者通常是從原始 C4 中提取繁體中文資料，或是透過簡轉繁的方式獲得內容。本專案透過自行爬蟲，從中華民國政府官方網站及台灣域名下的大部分網站獲取資料，提供更地道的在地語料。此專案為開源，旨在支持對大語言模型有興趣的研究人員進行更精確的地方研究。若您使用本資料集，請務必註明資料來源。
Dataset Details
Dataset Description
Curated by: Huang Liang Hsun
Funded by: Huang Liang Hsun
Shared by : Huang Liang Hsun
Language(s) (NLP): 繁體中文（zh-tw）
License: cc-by-nc-nd-4.0
Dataset Sources [optional]… See the full description on the dataset page: https://huggingface.co/datasets/lianghsun/Taiwan_c4.
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OALL/details_sophosympatheia__Midnight-Miqu-70B-v1.5
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OALL
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Dataset Card for Evaluation run of sophosympatheia/Midnight-Miqu-70B-v1.5
Dataset automatically created during the evaluation run of model sophosympatheia/Midnight-Miqu-70B-v1.5.
The dataset is composed of 136 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_sophosympatheia__Midnight-Miqu-70B-v1.5.
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gaunernst/ms1mv3-wds-gz
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gaunernst
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MS-Celeb-1M (v3)
This is a copy of gaunernst/ms1mv3-wds with gzip compression. Thus, the shards (after decompression) are identical. The compression ratio is around 50%, indicating that the original JPEG images were not compressed much.
This dataset is introduced in the Lightweight Face Recognition Challenge at ICCV 2019. Paper.
There are 5,179,510 images and 93,431 ids. All images are aligned based on facial landmarks predicted by RetinaFace and resized to 112x112.
This was… See the full description on the dataset page: https://huggingface.co/datasets/gaunernst/ms1mv3-wds-gz.
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dogtooth/gemma-2-9b-it_generated_helpsteer2_binarized_1729832484
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dogtooth
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allenai/open_instruct: Generation Dataset
See https://github.com/allenai/open-instruct/blob/main/docs/algorithms/rejection_sampling.md for more detail
Configs
args:
{'add_timestamp': True,
'alpaca_eval': False,
'dataset_end_idx': 8636,
'dataset_mixer_list': ['dogtooth/helpsteer2_binarized', '1.0'],
'dataset_splits': ['train'],
'dataset_start_idx': 0,
'hf_entity': 'dogtooth',
'hf_repo_id': 'gemma-2-9b-it_generated_helpsteer2_binarized',
'llm_judge': False… See the full description on the dataset page: https://huggingface.co/datasets/dogtooth/gemma-2-9b-it_generated_helpsteer2_binarized_1729832484.
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SiliangZ/ultrachat_200k_mistral_sft_and_mistral_irl1_round1_temp07
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SiliangZ
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Dataset Card for "ultrachat_200k_mistral_sft_and_mistral_irl1_round1_temp07"
More Information needed
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arthur801031/dmfd
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arthur801031
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Learning Deformable Object Manipulation from Expert Demonstrations (RA-L, IROS 2022)
[Project website]
[arXiv PDF]
[IEEE manuscript]
Datasets for Learning Deformable Object Manipulation from Expert Demonstrations
We present a novel Learning from Demonstration (LfD) method, Deformable Manipulation from Demonstrations (DMfD), to solve deformable manipulation tasks using states or images as inputs, given expert demonstrations. Our method uses demonstrations in three different ways… See the full description on the dataset page: https://huggingface.co/datasets/arthur801031/dmfd.
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VAILab/nuScenes-Text
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VAILab
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Usage
To load this dataset, use the Hugging Face Datasets library:
from datasets import load_dataset
dataset = load_dataset("VAILab/nuScenes-Text")
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_47
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_47"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_48
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_48"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_49
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_49"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_50
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_50"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_51
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_51"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_52
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_52"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_53
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_53"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_54
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_54"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_55
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_55"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_56
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_56"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_57
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_57"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_58
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_58"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_59
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_59"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_60
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_60"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_61
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_61"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_62
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_62"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_63
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_63"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_64
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_64"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_65
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_65"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_66
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_66"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_67
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_67"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_68
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_68"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_69
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_69"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_70
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_70"
More Information needed
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HamdanXI/libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_71
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HamdanXI
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Dataset Card for "libriTTS_dev_wav2vec2_latent_layer0_with_model_output_chunk_71"
More Information needed
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