From 4fe17f4dbe4f55cf2d3f282e0f79677f42c90031 Mon Sep 17 00:00:00 2001 From: Mojtaba Date: Wed, 15 Mar 2023 13:17:59 -0700 Subject: [PATCH 01/14] WIP check in --- parlai/zoo/multilight/__init__.py | 5 +++++ parlai/zoo/multilight/utterance.py | 26 ++++++++++++++++++++++++++ projects/multilight/README.md | 2 ++ 3 files changed, 33 insertions(+) create mode 100644 parlai/zoo/multilight/__init__.py create mode 100644 parlai/zoo/multilight/utterance.py create mode 100644 projects/multilight/README.md diff --git a/parlai/zoo/multilight/__init__.py b/parlai/zoo/multilight/__init__.py new file mode 100644 index 00000000000..240697e3247 --- /dev/null +++ b/parlai/zoo/multilight/__init__.py @@ -0,0 +1,5 @@ +#!/usr/bin/env python3 + +# Copyright (c) Facebook, Inc. and its affiliates. +# This source code is licensed under the MIT license found in the +# LICENSE file in the root directory of this source tree. diff --git a/parlai/zoo/multilight/utterance.py b/parlai/zoo/multilight/utterance.py new file mode 100644 index 00000000000..d6a24c36488 --- /dev/null +++ b/parlai/zoo/multilight/utterance.py @@ -0,0 +1,26 @@ +#!/usr/bin/env python3 + +# Copyright (c) Facebook, Inc. and its affiliates. +# This source code is licensed under the MIT license found in the +# LICENSE file in the root directory of this source tree. +""" +Utterance generations model for multi-player light (multilight dataset). +2.7B parameter +""" +from parlai.core.build_data import built, download_models, get_model_dir +import os + + +_PROJECT_NAME = 'multilight' +_VERSION = 'v1.0' + + +def download(datapath): + ddir = os.path.join(get_model_dir(datapath), _PROJECT_NAME) + model_type = 'utterance' + if not built(os.path.join(ddir, model_type), _VERSION): + opt = {'datapath': datapath, 'model_type': model_type} + fnames = [f'model_{_VERSION}.tgz'] + download_models( + opt, fnames, _PROJECT_NAME, version=_VERSION, use_model_type=True + ) diff --git a/projects/multilight/README.md b/projects/multilight/README.md new file mode 100644 index 00000000000..35a6c1c45c5 --- /dev/null +++ b/projects/multilight/README.md @@ -0,0 +1,2 @@ +# Multi-party conversational agents + From ec2f254684f93523ebdfd41ea63d7d33fa1a5d5e Mon Sep 17 00:00:00 2001 From: Mojtaba Date: Wed, 15 Mar 2023 14:08:08 -0700 Subject: [PATCH 02/14] all the required models added --- parlai/zoo/multilight/speaker.py | 17 ++++++++++++++++ parlai/zoo/multilight/utils.py | 19 ++++++++++++++++++ parlai/zoo/multilight/utterance.py | 26 ------------------------- parlai/zoo/multilight/utterance_3B.py | 18 +++++++++++++++++ parlai/zoo/multilight/utterance_400m.py | 18 +++++++++++++++++ 5 files changed, 72 insertions(+), 26 deletions(-) create mode 100644 parlai/zoo/multilight/speaker.py create mode 100644 parlai/zoo/multilight/utils.py delete mode 100644 parlai/zoo/multilight/utterance.py create mode 100644 parlai/zoo/multilight/utterance_3B.py create mode 100644 parlai/zoo/multilight/utterance_400m.py diff --git a/parlai/zoo/multilight/speaker.py b/parlai/zoo/multilight/speaker.py new file mode 100644 index 00000000000..a6b0d242aa5 --- /dev/null +++ b/parlai/zoo/multilight/speaker.py @@ -0,0 +1,17 @@ +#!/usr/bin/env python3 + +# Copyright (c) Facebook, Inc. and its affiliates. +# This source code is licensed under the MIT license found in the +# LICENSE file in the root directory of this source tree. +""" +The speaker prediction model for MultiLIGHT. +""" + + +from parlai.zoo.multilight.utils import maybe_download + +MODEL_NAME = 'speaker' + + +def download(datapath): + maybe_download(MODEL_NAME, datapath) diff --git a/parlai/zoo/multilight/utils.py b/parlai/zoo/multilight/utils.py new file mode 100644 index 00000000000..f2431d5efab --- /dev/null +++ b/parlai/zoo/multilight/utils.py @@ -0,0 +1,19 @@ +#!/usr/bin/env python3 + +# Copyright (c) Facebook, Inc. and its affiliates. +# This source code is licensed under the MIT license found in the +# LICENSE file in the root directory of this source tree. + +import os +from parlai.core.build_data import built, download_models, get_model_dir + +PROJECT_NAME = 'multilight' +VERSION = 'v1.0' + + +def maybe_download(model_type, datapath): + ddir = os.path.join(get_model_dir(datapath), PROJECT_NAME) + if not built(os.path.join(ddir, model_type), VERSION): + opt = {'datapath': datapath, 'model_type': model_type} + fnames = ['model.tgz'] + download_models(opt, fnames, PROJECT_NAME, version=VERSION, use_model_type=True) diff --git a/parlai/zoo/multilight/utterance.py b/parlai/zoo/multilight/utterance.py deleted file mode 100644 index d6a24c36488..00000000000 --- a/parlai/zoo/multilight/utterance.py +++ /dev/null @@ -1,26 +0,0 @@ -#!/usr/bin/env python3 - -# Copyright (c) Facebook, Inc. and its affiliates. -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. -""" -Utterance generations model for multi-player light (multilight dataset). -2.7B parameter -""" -from parlai.core.build_data import built, download_models, get_model_dir -import os - - -_PROJECT_NAME = 'multilight' -_VERSION = 'v1.0' - - -def download(datapath): - ddir = os.path.join(get_model_dir(datapath), _PROJECT_NAME) - model_type = 'utterance' - if not built(os.path.join(ddir, model_type), _VERSION): - opt = {'datapath': datapath, 'model_type': model_type} - fnames = [f'model_{_VERSION}.tgz'] - download_models( - opt, fnames, _PROJECT_NAME, version=_VERSION, use_model_type=True - ) diff --git a/parlai/zoo/multilight/utterance_3B.py b/parlai/zoo/multilight/utterance_3B.py new file mode 100644 index 00000000000..7f7aaf17302 --- /dev/null +++ b/parlai/zoo/multilight/utterance_3B.py @@ -0,0 +1,18 @@ +#!/usr/bin/env python3 + +# Copyright (c) Facebook, Inc. and its affiliates. +# This source code is licensed under the MIT license found in the +# LICENSE file in the root directory of this source tree. +""" +Utterance generations model for multi-player light (multilight dataset). +2.7B parameter +""" + + +from parlai.zoo.multilight.utils import maybe_download + +MODEL_NAME = 'utterance_3B' + + +def download(datapath): + maybe_download(MODEL_NAME, datapath) diff --git a/parlai/zoo/multilight/utterance_400m.py b/parlai/zoo/multilight/utterance_400m.py new file mode 100644 index 00000000000..70558615745 --- /dev/null +++ b/parlai/zoo/multilight/utterance_400m.py @@ -0,0 +1,18 @@ +#!/usr/bin/env python3 + +# Copyright (c) Facebook, Inc. and its affiliates. +# This source code is licensed under the MIT license found in the +# LICENSE file in the root directory of this source tree. +""" +Utterance generations model for multi-player light (multilight dataset). +400m parameter +""" + + +from parlai.zoo.multilight.utils import maybe_download + +MODEL_NAME = 'utterance_400m' + + +def download(datapath): + maybe_download(MODEL_NAME, datapath) From ce028d6e29402b81f183a37af66b3e343ecbddad Mon Sep 17 00:00:00 2001 From: Mojtaba Date: Fri, 26 May 2023 11:10:27 -0700 Subject: [PATCH 03/14] the model name and directory --- parlai/zoo/multilight/utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/parlai/zoo/multilight/utils.py b/parlai/zoo/multilight/utils.py index f2431d5efab..63e2f03579f 100644 --- a/parlai/zoo/multilight/utils.py +++ b/parlai/zoo/multilight/utils.py @@ -15,5 +15,5 @@ def maybe_download(model_type, datapath): ddir = os.path.join(get_model_dir(datapath), PROJECT_NAME) if not built(os.path.join(ddir, model_type), VERSION): opt = {'datapath': datapath, 'model_type': model_type} - fnames = ['model.tgz'] + fnames = ['model.tar.gz'] download_models(opt, fnames, PROJECT_NAME, version=VERSION, use_model_type=True) From 034859b904bacbb562f1fc8a8847861b2c470779 Mon Sep 17 00:00:00 2001 From: Mojtaba Date: Fri, 26 May 2023 11:40:19 -0700 Subject: [PATCH 04/14] Readme core --- projects/multilight/DatasetExample.png | Bin 0 -> 349031 bytes projects/multilight/README.md | 54 ++++++++++++++++++++++++- 2 files changed, 53 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a/projects/multilight/README.md b/projects/multilight/README.md index 35a6c1c45c5..53c429562e9 100644 --- a/projects/multilight/README.md +++ b/projects/multilight/README.md @@ -1,2 +1,54 @@ -# Multi-party conversational agents +# Multi-Party Chat: Conversational Agents in Group Settings with Humans and Models +Jimmy Wei, Kurt Shuster, Arthur Szlam, Jason Weston, Jack Urbanek, Mojtaba Komeili + +## Abstract + +Current dialogue research primarily studies pairwise (two-party) conversations, and does not address the everyday setting where more than two speakers converse together. In this work, we both collect and evaluate multi-party conversations to study this more general case. We use the LIGHT environment to construct grounded conversations, where each participant has an assigned character to role-play. We thus evaluate the ability of language models to act as one or more characters in such conversations. Models require two skills that pairwise-trained models appear to lack: (1) being able to decide when to talk; (2) producing coherent utterances grounded on multiple characters. We compare models trained on our new dataset to existing pairwise-trained dialogue models, as well as large language models with few-shot prompting. We find that our new dataset, MultiLIGHT, which we will publicly release, can help bring significant improvements in the group setting. + +## Paper + +[Link](https://arxiv.org/abs/2304.13835) + + +## Data + +We designed a new crowdsourcing task ([link](https://github.com/facebookresearch/LIGHT/tree/main/crowdsourcing/dialogues/multi_party_chat)) and collected a new dataset. +Data is available via a ParlAI style teacher in [LIGHT](https://github.com/facebookresearch/LIGHT). +```.sh +light dd -t light:multilight \ +--add-location-to-context true \ +--add-personas-to-context true +``` +See [this](https://github.com/facebookresearch/LIGHT/tree/main/light/modeling/tasks/multilight +) for more details on available teachers and their flags. + +Rendered sample data: +

+ +## Models + +We released three models from this project. +These are the our best performing models that were included in our human evaulation. + +* `utterance_3B`: the best performing *Utterance only* model trained on LIGHT, LIGHT Wild and MultiLIGHT, multi-tasked (3B parameters size). +* `utterance_400m`: the best performing *Utterance only* model trained on LIGHT, LIGHT Wild and MultiLIGHT, multi-tasked (400m parameters size). +* `speaker`: predicts the next speaker (based on BART-large). + +### Running models + +You can run these models with the existing ParlAI dataset, for example +```.sh +parlai eval_model -mf zoo:multilight/utterance_3B/model --task wizard_of_internet +``` + +> *Note*: Due match the data distribution (location and persona descriptions, and their keywords, character names etc., you may not get high performance). + +The main dataset that were are fine-tuned on is available in LIGHT. +You are able to run these models with commands templates identical to ParlAI, for example: + +```.sh +light eval_model -mf zoo:multilight/utterance_3B/model -t light:multilight \ +--add-location-to-context true --add-personas-to-context true \ +--include-speaker-in-label false --add-speaker-to-context-end true +``` From c4528f53ac15fb3f799026a3a27491c6bc29c434 Mon Sep 17 00:00:00 2001 From: Mojtaba Date: Fri, 26 May 2023 11:43:54 -0700 Subject: [PATCH 05/14] lint --- parlai/zoo/multilight/utterance_3B.py | 1 + parlai/zoo/multilight/utterance_400m.py | 1 + 2 files changed, 2 insertions(+) diff --git a/parlai/zoo/multilight/utterance_3B.py b/parlai/zoo/multilight/utterance_3B.py index 7f7aaf17302..f7b09c46a67 100644 --- a/parlai/zoo/multilight/utterance_3B.py +++ b/parlai/zoo/multilight/utterance_3B.py @@ -5,6 +5,7 @@ # LICENSE file in the root directory of this source tree. """ Utterance generations model for multi-player light (multilight dataset). + 2.7B parameter """ diff --git a/parlai/zoo/multilight/utterance_400m.py b/parlai/zoo/multilight/utterance_400m.py index 70558615745..3356562102f 100644 --- a/parlai/zoo/multilight/utterance_400m.py +++ b/parlai/zoo/multilight/utterance_400m.py @@ -5,6 +5,7 @@ # LICENSE file in the root directory of this source tree. """ Utterance generations model for multi-player light (multilight dataset). + 400m parameter """ From 9058973ba2a6c7c8fda4be4d3d353ee1de50e50d Mon Sep 17 00:00:00 2001 From: Mojtaba Date: Wed, 15 Mar 2023 13:17:59 -0700 Subject: [PATCH 06/14] WIP check in --- parlai/zoo/multilight/__init__.py | 5 +++++ parlai/zoo/multilight/utterance.py | 26 ++++++++++++++++++++++++++ projects/multilight/README.md | 2 ++ 3 files changed, 33 insertions(+) create mode 100644 parlai/zoo/multilight/__init__.py create mode 100644 parlai/zoo/multilight/utterance.py create mode 100644 projects/multilight/README.md diff --git a/parlai/zoo/multilight/__init__.py b/parlai/zoo/multilight/__init__.py new file mode 100644 index 00000000000..240697e3247 --- /dev/null +++ b/parlai/zoo/multilight/__init__.py @@ -0,0 +1,5 @@ +#!/usr/bin/env python3 + +# Copyright (c) Facebook, Inc. and its affiliates. +# This source code is licensed under the MIT license found in the +# LICENSE file in the root directory of this source tree. diff --git a/parlai/zoo/multilight/utterance.py b/parlai/zoo/multilight/utterance.py new file mode 100644 index 00000000000..d6a24c36488 --- /dev/null +++ b/parlai/zoo/multilight/utterance.py @@ -0,0 +1,26 @@ +#!/usr/bin/env python3 + +# Copyright (c) Facebook, Inc. and its affiliates. +# This source code is licensed under the MIT license found in the +# LICENSE file in the root directory of this source tree. +""" +Utterance generations model for multi-player light (multilight dataset). +2.7B parameter +""" +from parlai.core.build_data import built, download_models, get_model_dir +import os + + +_PROJECT_NAME = 'multilight' +_VERSION = 'v1.0' + + +def download(datapath): + ddir = os.path.join(get_model_dir(datapath), _PROJECT_NAME) + model_type = 'utterance' + if not built(os.path.join(ddir, model_type), _VERSION): + opt = {'datapath': datapath, 'model_type': model_type} + fnames = [f'model_{_VERSION}.tgz'] + download_models( + opt, fnames, _PROJECT_NAME, version=_VERSION, use_model_type=True + ) diff --git a/projects/multilight/README.md b/projects/multilight/README.md new file mode 100644 index 00000000000..35a6c1c45c5 --- /dev/null +++ b/projects/multilight/README.md @@ -0,0 +1,2 @@ +# Multi-party conversational agents + From 7a656643ecd4194ab55ace126013177c785805df Mon Sep 17 00:00:00 2001 From: Mojtaba Date: Wed, 15 Mar 2023 14:08:08 -0700 Subject: [PATCH 07/14] all the required models added --- parlai/zoo/multilight/speaker.py | 17 ++++++++++++++++ parlai/zoo/multilight/utils.py | 19 ++++++++++++++++++ parlai/zoo/multilight/utterance.py | 26 ------------------------- parlai/zoo/multilight/utterance_3B.py | 18 +++++++++++++++++ parlai/zoo/multilight/utterance_400m.py | 18 +++++++++++++++++ 5 files changed, 72 insertions(+), 26 deletions(-) create mode 100644 parlai/zoo/multilight/speaker.py create mode 100644 parlai/zoo/multilight/utils.py delete mode 100644 parlai/zoo/multilight/utterance.py create mode 100644 parlai/zoo/multilight/utterance_3B.py create mode 100644 parlai/zoo/multilight/utterance_400m.py diff --git a/parlai/zoo/multilight/speaker.py b/parlai/zoo/multilight/speaker.py new file mode 100644 index 00000000000..a6b0d242aa5 --- /dev/null +++ b/parlai/zoo/multilight/speaker.py @@ -0,0 +1,17 @@ +#!/usr/bin/env python3 + +# Copyright (c) Facebook, Inc. and its affiliates. +# This source code is licensed under the MIT license found in the +# LICENSE file in the root directory of this source tree. +""" +The speaker prediction model for MultiLIGHT. +""" + + +from parlai.zoo.multilight.utils import maybe_download + +MODEL_NAME = 'speaker' + + +def download(datapath): + maybe_download(MODEL_NAME, datapath) diff --git a/parlai/zoo/multilight/utils.py b/parlai/zoo/multilight/utils.py new file mode 100644 index 00000000000..f2431d5efab --- /dev/null +++ b/parlai/zoo/multilight/utils.py @@ -0,0 +1,19 @@ +#!/usr/bin/env python3 + +# Copyright (c) Facebook, Inc. and its affiliates. +# This source code is licensed under the MIT license found in the +# LICENSE file in the root directory of this source tree. + +import os +from parlai.core.build_data import built, download_models, get_model_dir + +PROJECT_NAME = 'multilight' +VERSION = 'v1.0' + + +def maybe_download(model_type, datapath): + ddir = os.path.join(get_model_dir(datapath), PROJECT_NAME) + if not built(os.path.join(ddir, model_type), VERSION): + opt = {'datapath': datapath, 'model_type': model_type} + fnames = ['model.tgz'] + download_models(opt, fnames, PROJECT_NAME, version=VERSION, use_model_type=True) diff --git a/parlai/zoo/multilight/utterance.py b/parlai/zoo/multilight/utterance.py deleted file mode 100644 index d6a24c36488..00000000000 --- a/parlai/zoo/multilight/utterance.py +++ /dev/null @@ -1,26 +0,0 @@ -#!/usr/bin/env python3 - -# Copyright (c) Facebook, Inc. and its affiliates. -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. -""" -Utterance generations model for multi-player light (multilight dataset). -2.7B parameter -""" -from parlai.core.build_data import built, download_models, get_model_dir -import os - - -_PROJECT_NAME = 'multilight' -_VERSION = 'v1.0' - - -def download(datapath): - ddir = os.path.join(get_model_dir(datapath), _PROJECT_NAME) - model_type = 'utterance' - if not built(os.path.join(ddir, model_type), _VERSION): - opt = {'datapath': datapath, 'model_type': model_type} - fnames = [f'model_{_VERSION}.tgz'] - download_models( - opt, fnames, _PROJECT_NAME, version=_VERSION, use_model_type=True - ) diff --git a/parlai/zoo/multilight/utterance_3B.py b/parlai/zoo/multilight/utterance_3B.py new file mode 100644 index 00000000000..7f7aaf17302 --- /dev/null +++ b/parlai/zoo/multilight/utterance_3B.py @@ -0,0 +1,18 @@ +#!/usr/bin/env python3 + +# Copyright (c) Facebook, Inc. and its affiliates. +# This source code is licensed under the MIT license found in the +# LICENSE file in the root directory of this source tree. +""" +Utterance generations model for multi-player light (multilight dataset). +2.7B parameter +""" + + +from parlai.zoo.multilight.utils import maybe_download + +MODEL_NAME = 'utterance_3B' + + +def download(datapath): + maybe_download(MODEL_NAME, datapath) diff --git a/parlai/zoo/multilight/utterance_400m.py b/parlai/zoo/multilight/utterance_400m.py new file mode 100644 index 00000000000..70558615745 --- /dev/null +++ b/parlai/zoo/multilight/utterance_400m.py @@ -0,0 +1,18 @@ +#!/usr/bin/env python3 + +# Copyright (c) Facebook, Inc. and its affiliates. +# This source code is licensed under the MIT license found in the +# LICENSE file in the root directory of this source tree. +""" +Utterance generations model for multi-player light (multilight dataset). +400m parameter +""" + + +from parlai.zoo.multilight.utils import maybe_download + +MODEL_NAME = 'utterance_400m' + + +def download(datapath): + maybe_download(MODEL_NAME, datapath) From 441db568673f2c27c3262e9eb95ff26b3a17c668 Mon Sep 17 00:00:00 2001 From: Mojtaba Date: Fri, 26 May 2023 11:10:27 -0700 Subject: [PATCH 08/14] the model name and directory --- parlai/zoo/multilight/utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/parlai/zoo/multilight/utils.py b/parlai/zoo/multilight/utils.py index f2431d5efab..63e2f03579f 100644 --- a/parlai/zoo/multilight/utils.py +++ b/parlai/zoo/multilight/utils.py @@ -15,5 +15,5 @@ def maybe_download(model_type, datapath): ddir = os.path.join(get_model_dir(datapath), PROJECT_NAME) if not built(os.path.join(ddir, model_type), VERSION): opt = {'datapath': datapath, 'model_type': model_type} - fnames = ['model.tgz'] + fnames = ['model.tar.gz'] download_models(opt, fnames, PROJECT_NAME, version=VERSION, use_model_type=True) From c3a2b40c8f3bcbd5528ab8468bed97c7acae33ec Mon Sep 17 00:00:00 2001 From: Mojtaba Date: Fri, 26 May 2023 11:40:19 -0700 Subject: [PATCH 09/14] Readme core --- projects/multilight/DatasetExample.png | Bin 0 -> 349031 bytes 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a/projects/multilight/README.md b/projects/multilight/README.md index 35a6c1c45c5..53c429562e9 100644 --- a/projects/multilight/README.md +++ b/projects/multilight/README.md @@ -1,2 +1,54 @@ -# Multi-party conversational agents +# Multi-Party Chat: Conversational Agents in Group Settings with Humans and Models +Jimmy Wei, Kurt Shuster, Arthur Szlam, Jason Weston, Jack Urbanek, Mojtaba Komeili + +## Abstract + +Current dialogue research primarily studies pairwise (two-party) conversations, and does not address the everyday setting where more than two speakers converse together. In this work, we both collect and evaluate multi-party conversations to study this more general case. We use the LIGHT environment to construct grounded conversations, where each participant has an assigned character to role-play. We thus evaluate the ability of language models to act as one or more characters in such conversations. Models require two skills that pairwise-trained models appear to lack: (1) being able to decide when to talk; (2) producing coherent utterances grounded on multiple characters. We compare models trained on our new dataset to existing pairwise-trained dialogue models, as well as large language models with few-shot prompting. We find that our new dataset, MultiLIGHT, which we will publicly release, can help bring significant improvements in the group setting. + +## Paper + +[Link](https://arxiv.org/abs/2304.13835) + + +## Data + +We designed a new crowdsourcing task ([link](https://github.com/facebookresearch/LIGHT/tree/main/crowdsourcing/dialogues/multi_party_chat)) and collected a new dataset. +Data is available via a ParlAI style teacher in [LIGHT](https://github.com/facebookresearch/LIGHT). +```.sh +light dd -t light:multilight \ +--add-location-to-context true \ +--add-personas-to-context true +``` +See [this](https://github.com/facebookresearch/LIGHT/tree/main/light/modeling/tasks/multilight +) for more details on available teachers and their flags. + +Rendered sample data: +

+ +## Models + +We released three models from this project. +These are the our best performing models that were included in our human evaulation. + +* `utterance_3B`: the best performing *Utterance only* model trained on LIGHT, LIGHT Wild and MultiLIGHT, multi-tasked (3B parameters size). +* `utterance_400m`: the best performing *Utterance only* model trained on LIGHT, LIGHT Wild and MultiLIGHT, multi-tasked (400m parameters size). +* `speaker`: predicts the next speaker (based on BART-large). + +### Running models + +You can run these models with the existing ParlAI dataset, for example +```.sh +parlai eval_model -mf zoo:multilight/utterance_3B/model --task wizard_of_internet +``` + +> *Note*: Due match the data distribution (location and persona descriptions, and their keywords, character names etc., you may not get high performance). + +The main dataset that were are fine-tuned on is available in LIGHT. +You are able to run these models with commands templates identical to ParlAI, for example: + +```.sh +light eval_model -mf zoo:multilight/utterance_3B/model -t light:multilight \ +--add-location-to-context true --add-personas-to-context true \ +--include-speaker-in-label false --add-speaker-to-context-end true +``` From 356ed43db3c8874de01abb6fc92090573ebbc3db Mon Sep 17 00:00:00 2001 From: Mojtaba Date: Fri, 26 May 2023 11:43:54 -0700 Subject: [PATCH 10/14] lint --- parlai/zoo/multilight/utterance_3B.py | 1 + parlai/zoo/multilight/utterance_400m.py | 1 + 2 files changed, 2 insertions(+) diff --git a/parlai/zoo/multilight/utterance_3B.py b/parlai/zoo/multilight/utterance_3B.py index 7f7aaf17302..f7b09c46a67 100644 --- a/parlai/zoo/multilight/utterance_3B.py +++ b/parlai/zoo/multilight/utterance_3B.py @@ -5,6 +5,7 @@ # LICENSE file in the root directory of this source tree. """ Utterance generations model for multi-player light (multilight dataset). + 2.7B parameter """ diff --git a/parlai/zoo/multilight/utterance_400m.py b/parlai/zoo/multilight/utterance_400m.py index 70558615745..3356562102f 100644 --- a/parlai/zoo/multilight/utterance_400m.py +++ b/parlai/zoo/multilight/utterance_400m.py @@ -5,6 +5,7 @@ # LICENSE file in the root directory of this source tree. """ Utterance generations model for multi-player light (multilight dataset). + 400m parameter """ From 2904dc2d9d093be874b697aee01a4aa5bb9a8c96 Mon Sep 17 00:00:00 2001 From: Mojtaba Date: Thu, 1 Jun 2023 08:37:54 -0700 Subject: [PATCH 11/14] model zoo list --- parlai/zoo/model_list.py | 64 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 64 insertions(+) diff --git a/parlai/zoo/model_list.py b/parlai/zoo/model_list.py index 93329fb6aaa..5eabe5d7e3d 100644 --- a/parlai/zoo/model_list.py +++ b/parlai/zoo/model_list.py @@ -3060,4 +3060,68 @@ [Bart]: I am an AI researcher. I love my job. """, }, + { + "title": "Multi-party speaker prediction", + "id": "multilight", + "path": "zoo:multilight/speaker/model", + "agent": "bart", + "task": "light_multiparty:SpeakerPrediction", + "project": "https://parl.ai/projects/multilight", + "description": ( + "Predicts the most plausible next speaker at any point during a three-player conversation in LIGHT." + ), + "example": ( + """ + parlai eval_model --model-file zoo:multilight/speaker/model --task light_multiparty:SpeakerPrediction \ + --add-location-to-context true --add-personas-to-context true --include-speaker-in-label false + """ + ), + "result": """ + Report for light_multiparty:SpeakerPrediction: + clen ctpb ctps ctrunc ctrunclen exps exs gpu_mem llen loss lr ltpb ltps ltrunc ltrunclen ppl token_acc token_em tpb tps + 473.5 420.2 6130 .4140 54.44 14.59 11005 .1218 3.091 .3438 5e-10 3.091 45.09 0 0 1.41 .8462 .5256 423.3 6175 + """, # noqa: E501 + }, + { + "title": "Multi-party utterance only 3B", + "id": "multilight", + "path": "zoo:multilight/utterance_3B/model", + "agent": "bart", + "task": "light_multiparty", + "project": "https://parl.ai/projects/multilight", + "description": ("Utterance generation model for the multi-party LIGHT game."), + "example": ( + """ + parlai eval_model --model-file zoo:multilight/utterance_3B/model --task light_multiparty \ + --add-location-to-context true --add-personas-to-context true --include-speaker-in-label false --add-speaker-to-context-end true + """ + ), + "result": """ + Report for light_multiparty: + clen ctpb ctps ctrunc ctrunclen exps exs gpu_mem llen loss lr ltpb ltps ltrunc ltrunclen ppl token_acc token_em tpb tps + 478.6 423.2 5603 .4249 56.58 13.24 11005 .7931 15.83 2.584 5e-07 15.83 209.6 0 0 13.25 .4308 0 439 5813 + """, # noqa: E501 + }, + { + "title": "Multi-party utterance only 400m", + "id": "multilight", + "path": "zoo:multilight/utterance_400m/model", + "agent": "bart", + "task": "light_multiparty", + "project": "https://parl.ai/projects/multilight", + "description": ( + "Utterance generation model for the multi-party LIGHT game. This is the smaller version of the original 3B model presented in the paper." + ), + "example": ( + """ + parlai eval_model --model-file zoo:multilight/utterance_400m/model --task light_multiparty \ + --add-location-to-context true --add-personas-to-context true --include-speaker-in-label false --add-speaker-to-context-end true + """ + ), + "result": """ + Report for light_multiparty: + clen ctpb ctps ctrunc ctrunclen exps exs gpu_mem llen loss lr ltpb ltps ltrunc ltrunclen ppl token_acc token_em tpb tps + 477.6 422.6 7264 .4222 56.16 17.19 11005 .1204 15.83 2.714 1e-06 15.83 272.1 0 0 15.08 .4140 0 438.4 7536 + """, # noqa: E501 + }, ] From 631da75552172e0df5e142032521a534a100d680 Mon Sep 17 00:00:00 2001 From: Mojtaba Date: Thu, 1 Jun 2023 08:38:12 -0700 Subject: [PATCH 12/14] finalized readme --- projects/multilight/README.md | 54 +++++++++++++++++++---------------- 1 file changed, 30 insertions(+), 24 deletions(-) diff --git a/projects/multilight/README.md b/projects/multilight/README.md index 53c429562e9..37e5148927a 100644 --- a/projects/multilight/README.md +++ b/projects/multilight/README.md @@ -13,42 +13,48 @@ Current dialogue research primarily studies pairwise (two-party) conversations, ## Data -We designed a new crowdsourcing task ([link](https://github.com/facebookresearch/LIGHT/tree/main/crowdsourcing/dialogues/multi_party_chat)) and collected a new dataset. -Data is available via a ParlAI style teacher in [LIGHT](https://github.com/facebookresearch/LIGHT). +There are three types of teachers in this task. Two of them focus on the utterances and conversation content, the other one on predicting the next speaker. + +1. Utterances from all the characters: +```.sh +parlai dd -t light_multiparty --add-location-to-context true --add-personas-to-context true +``` + +2. Utterances from a single character only: +```.sh +parlai dd -t light_multiparty:FirstSpeakerTeacher --add-location-to-context true --add-personas-to-context true +``` + +3. Predicting the speaker for the next turn: ```.sh -light dd -t light:multilight \ ---add-location-to-context true \ ---add-personas-to-context true +parlai dd -t light_multiparty:SpeakerPredictionTeacher --add-location-to-context true --add-personas-to-context true ``` -See [this](https://github.com/facebookresearch/LIGHT/tree/main/light/modeling/tasks/multilight -) for more details on available teachers and their flags. -Rendered sample data: +See the [agent](https://github.com/facebookresearch/ParlAI/blob/main/parlai/tasks/light_multiparty/agents.py) for up-to-date details on available teachers and flags. + +### Rendered sample

## Models -We released three models from this project. -These are the our best performing models that were included in our human evaulation. +We released three models from this project: + +* `zoo:multilight/utterance_3B/model`: the best performing *Utterance only* model trained on LIGHT, LIGHT Wild and MultiLIGHT, multi-tasked (3B parameters size). +* `zoo:multilight/utterance_400m/model`: the best performing *Utterance only* model trained on LIGHT, LIGHT Wild and MultiLIGHT, multi-tasked (400m parameters size). +* `zoo:multilight/speaker/model`: predicts the next speaker. -* `utterance_3B`: the best performing *Utterance only* model trained on LIGHT, LIGHT Wild and MultiLIGHT, multi-tasked (3B parameters size). -* `utterance_400m`: the best performing *Utterance only* model trained on LIGHT, LIGHT Wild and MultiLIGHT, multi-tasked (400m parameters size). -* `speaker`: predicts the next speaker (based on BART-large). +`zoo:multilight/utterance_3B/model` and `zoo:multilight/speaker/model` were used in our human evals as reported in the paper. ### Running models You can run these models with the existing ParlAI dataset, for example ```.sh -parlai eval_model -mf zoo:multilight/utterance_3B/model --task wizard_of_internet +parlai eval_model -mf zoo:multilight/utterance_3B/model \ +--task light_multiparty --add-location-to-context true --add-personas-to-context true ``` -> *Note*: Due match the data distribution (location and persona descriptions, and their keywords, character names etc., you may not get high performance). - -The main dataset that were are fine-tuned on is available in LIGHT. -You are able to run these models with commands templates identical to ParlAI, for example: - -```.sh -light eval_model -mf zoo:multilight/utterance_3B/model -t light:multilight \ ---add-location-to-context true --add-personas-to-context true \ ---include-speaker-in-label false --add-speaker-to-context-end true -``` +Utterance models performance on all character teachers: +| utterance model | PPL | +|-------------------------------------|-------| +| zoo:multilight/utterance_3B/model | 13.25 | +| zoo:multilight/utterance_400m/model | 15.08 | From 1fe0ef209d8848ff2c805f279c5eba59834f1be5 Mon Sep 17 00:00:00 2001 From: Mojtaba Date: Thu, 1 Jun 2023 08:44:59 -0700 Subject: [PATCH 13/14] lint --- parlai/zoo/model_list.py | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) diff --git a/parlai/zoo/model_list.py b/parlai/zoo/model_list.py index 5eabe5d7e3d..f3da2931e8d 100644 --- a/parlai/zoo/model_list.py +++ b/parlai/zoo/model_list.py @@ -1424,8 +1424,15 @@ "agent": "projects.style_gen.classifier:ClassifierAgent", "task": "style_gen:LabeledBlendedSkillTalk", "project": 'https://github.com/facebookresearch/ParlAI/tree/main/projects/style_gen', - "description": "Classifier trained on Image-Chat turns 2 and 3 to classify the personality of an example given that utterance as the sole context.", - "example": "parlai eval_model --task style_gen:CurrUttOnlyStyle --wrapper-task style_gen:LabeledBlendedSkillTalk --model-file zoo:style_gen/curr_only_classifier/model --model projects.style_gen.classifier:ClassifierAgent --classes-from-file image_chat_personalities_file", + "description": ( + "Classifier trained on Image-Chat turns 2 and 3 to classify the personality" + " of an example given that utterance as the sole context." + ), + "example": """ + parlai eval_model --task style_gen:CurrUttOnlyStyle --wrapper-task style_gen:LabeledBlendedSkillTalk \ + --model-file zoo:style_gen/curr_only_classifier/model \ + --model projects.style_gen.classifier:ClassifierAgent --classes-from-file image_chat_personalities_file + """, "result": """ 16:46:41 | Finished evaluating tasks ['style_gen:CurrUttOnlyStyle'] using datatype valid accuracy bleu-4 clen ctpb ctps ctrunc ctrunclen exps exs f1 gpu_mem llen loss lr ltpb ltps ltrunc ltrunclen tpb tps \ From 0b5dfc6061cadf9a28d775406367a1903306e65c Mon Sep 17 00:00:00 2001 From: Mojtaba Date: Thu, 1 Jun 2023 08:48:48 -0700 Subject: [PATCH 14/14] # flake8: noqa on models list --- parlai/zoo/model_list.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/parlai/zoo/model_list.py b/parlai/zoo/model_list.py index f3da2931e8d..ef92e8e32d5 100644 --- a/parlai/zoo/model_list.py +++ b/parlai/zoo/model_list.py @@ -4,6 +4,8 @@ # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. +# flake8: noqa + """ The Model Zoo.