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Revert "standardize features"
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This reverts commit 5d19360.
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rishibommasani committed Aug 3, 2023
1 parent 5d19360 commit 5c92804
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44 changes: 22 additions & 22 deletions assets/adept.yaml
Original file line number Diff line number Diff line change
@@ -1,30 +1,30 @@
---
- access: closed
analysis: ''
created_date:
explanation: The date the model was announced in the [[Adept blog post]](https://www.adept.ai/blog/act-1).
value: 2022-09-14
dependencies: []

- type: model
name: ACT-1
organization: Adept
description: ACT-1 (ACtion Transformer) is a large-scale transformer model designed
and trained specifically for taking actions on computers (use software tools,
APIs and websites) in response to the user's natural language commands.
feedback: ''
intended_uses: ''
license:
explanation: "The asset isn't released, and hence the license is unknown.\n"
value: unknown
modality:
explanation: text
value: text; text
created_date:
value: 2022-09-14
explanation: The date the model was announced in the [[Adept blog post]](https://www.adept.ai/blog/act-1).
url: https://www.adept.ai/blog/act-1
model_card: none
monitoring: ''
name: ACT-1
organization: Adept
prohibited_uses: ''
quality_control: ''
modality: text
analysis: ''
size: ''
dependencies: []
training_emissions: unknown
training_hardware: unknown
training_time: unknown
type: model
url: https://www.adept.ai/blog/act-1
training_hardware: unknown
quality_control: ''
access: closed
license:
value: unknown
explanation: >
The asset isn't released, and hence the license is unknown.
intended_uses: ''
prohibited_uses: ''
monitoring: ''
feedback: ''
130 changes: 65 additions & 65 deletions assets/ai2.yaml
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@@ -1,95 +1,95 @@
---
- access: open
analysis: ''

- type: dataset
name: NaturalInstructions-v2
organization: AI2
description: ''
created_date: 2022-04-16
url: https://arxiv.org/abs/2204.07705
datasheet: ''
modality: text
size: 1600 tasks
sample: []
analysis: ''
dependencies: []
description: ''
excluded: ''
feedback: ''
included: ''
intended_uses: ''
excluded: ''
quality_control: ''
access: open
license: Apache 2.0
modality: text
intended_uses: ''
prohibited_uses: ''
monitoring: ''
name: NaturalInstructions-v2
feedback: ''

- type: dataset
name: SODA
organization: AI2
prohibited_uses: ''
quality_control: ''
description: SODA is the first publicly available, million-scale, high-quality
dialogue dataset covering a wide range of social interactions.
created_date: 2023-05-24
url: https://arxiv.org/pdf/2212.10465.pdf
datasheet: https://huggingface.co/datasets/allenai/soda
modality: text
size: 1.5M dialogues
sample: []
size: 1600 tasks
type: dataset
url: https://arxiv.org/abs/2204.07705
- access: open
analysis: Randomly sampled dialogues from dataset are evaluated according to six
established criteria of natural flow, context dependence, topic consistency,
speaker consistency, specificity, and overall.
created_date: 2023-05-24
datasheet: https://huggingface.co/datasets/allenai/soda
dependencies: []
description: SODA is the first publicly available, million-scale, high-quality
dialogue dataset covering a wide range of social interactions.
excluded: ''
feedback: ''
included: ''
intended_uses: ''
excluded: ''
quality_control: ''
access: open
license: CC BY 4.0
modality: text
intended_uses: ''
prohibited_uses: ''
monitoring: ''
name: SODA
feedback: ''

- type: dataset
name: Multimodal C4
organization: AI2
prohibited_uses: ''
quality_control: ''
description: An augmentation of C4 with images added and made openly available.
created_date: 2023-06-09
url: https://arxiv.org/pdf/2304.06939.pdf
datasheet: ''
modality: text and images
size: 43B English tokens with 101.2M documents and 571M images
sample: []
size: 1.5M dialogues
type: dataset
url: https://arxiv.org/pdf/2212.10465.pdf
- access: open
analysis: Conducted experiments on models trained with Multimodal C4 in comparison
to models trained on single image/caption datasets
created_date: 2023-06-09
datasheet: ''
dependencies: [C4]
description: An augmentation of C4 with images added and made openly available.
excluded: ''
feedback: ''
included: ''
intended_uses: ''
excluded: ''
quality_control: ''
access: open
license: MIT
modality:
explanation: text and images
value: image, text
intended_uses: ''
prohibited_uses: ''
monitoring: ''
name: Multimodal C4
feedback: ''

- type: model
name: COSMO
organization: AI2
prohibited_uses: ''
quality_control: ''
sample: []
size: 43B English tokens with 101.2M documents and 571M images
type: dataset
url: https://arxiv.org/pdf/2304.06939.pdf
- access: open
analysis: Evaluated by human testers on generalization capabilities and responses
compared to other chatbots.
created_date: 2023-05-24
dependencies: [SODA, ProsocialDialog, T5]
description: COSMO is a conversation agent with greater generalizability on both
in- and out-of-domain chitchat datasets
feedback: https://huggingface.co/allenai/cosmo-xl/discussions
intended_uses: ''
license: ''
modality:
explanation: text
value: text; text
created_date: 2023-05-24
url: https://arxiv.org/pdf/2212.10465.pdf
model_card: https://huggingface.co/allenai/cosmo-xl
monitoring: ''
name: COSMO
organization: AI2
prohibited_uses: ''
quality_control: ''
size: 11B parameters (dense)
modality: text
analysis: Evaluated by human testers on generalization capabilities and responses
compared to other chatbots.
size: 11B parameters
dependencies: [SODA, ProsocialDialog, T5]
training_emissions: unknown
training_hardware: v3-128 TPU accelerators with batch size 256
training_time: unknown
type: model
url: https://arxiv.org/pdf/2212.10465.pdf
training_hardware: v3-128 TPU accelerators with batch size 256
quality_control: ''
access: open
license: ''
intended_uses: ''
prohibited_uses: ''
monitoring: ''
feedback: https://huggingface.co/allenai/cosmo-xl/discussions
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