diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000000000000000000000000000000000000..6c874b007bf26f91961c1468ae5944eae6e02e0f --- /dev/null +++ b/.gitattributes @@ -0,0 +1,2 @@ +corpus*.jsonl filter=lfs diff=lfs merge=lfs -text +corpus*.json filter=lfs diff=lfs merge=lfs -text diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..9cc3d07ce96a0e0a4e5e9fca7b90d5ab377fedbb --- /dev/null +++ b/.gitignore @@ -0,0 +1,5 @@ +output-data/ +input-data/ +.direnv/ +.envrc +__pycache__/ diff --git a/.gitmodules b/.gitmodules new file mode 100644 index 0000000000000000000000000000000000000000..97955d61304f11aa446928d9390d450e56814bf1 --- /dev/null +++ b/.gitmodules @@ -0,0 +1,21 @@ +[submodule "library/egg-discrimination/code/EGG"] + path = data/egg-discrimination/code/repo + url = https://github.com/facebookresearch/EGG +[submodule "library/generalizations-mu-goodman/code/repo"] + path = data/generalizations-mu-goodman/code/repo + url = https://github.com/brendon-boldt/emergent-generalization +[submodule "library/ec-at-scale/emergent_communication_at_scale"] + path = data/ec-at-scale/code/emergent_communication_at_scale + url = https://github.com/brendon-boldt/emergent_communication_at_scale +[submodule "library/corpus-transfer-yao-et-al/repo"] + path = data/corpus-transfer-yao-et-al/code/repo + url = https://github.com/brendon-boldt/ec-nl +[submodule "library/rlupus/repo"] + path = data/rlupus/code/repo + url = https://github.com/brendon-boldt/rl_werewolf +[submodule "library/comon-iccv/code/repo"] + path = library/comon-iccv/code/repo + url = https://github.com/saimwani/CoMON +[submodule "library/babyai-sr/code/repo"] + path = data/babyai-sr/code/repo + url = https://github.com/brendon-boldt/babyai_sr diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..a7d20397c66140ebfe9f550a37629a969368dc83 --- /dev/null +++ b/README.md @@ -0,0 +1,20 @@ +# Emergent Language Library + + +## Running code + +For each emergent language entry, we provide wrapper code to create +a reproducible environment and run the emergent language-generating code. +Environments are specified precisely in the `environment.yml` file; if you wish +to edit the dependencies manually, it may be easier to start with +`environment.editable.yml` instead, if it exists. + +### Git submodules +This project uses git submodules to manage external dependencies. Submodules +do not always operate in an intuitive way, so we provide a brief explanation of +how to use them here. By default, submodules are not "init-ed" which means +that they will be empty after you clone the project. If you would like to +populate a submodule (i.e., the directory pointing to another repo) to see or +use its code, run `git submodule init path/to/submodule` to mark it as init-ed. +Second, run `git submodule update` to populated init-ed submodules. Run `git +submodule deinit -f path/to/submodule` to make the submodule empty again. diff --git a/croissant.json b/croissant.json new file mode 100644 index 0000000000000000000000000000000000000000..2060fa09766f7bbf2eac5e5ddcce02d82ebfdbcf --- /dev/null +++ b/croissant.json @@ -0,0 +1,1468 @@ +{ + "@context": { + "@language": "en", + "@vocab": "https://schema.org/", + "citeAs": "cr:citeAs", + "column": "cr:column", + "conformsTo": "dct:conformsTo", + "cr": "http://mlcommons.org/croissant/", + "rai": "http://mlcommons.org/croissant/RAI/", + "data": { + "@id": "cr:data", + "@type": "@json" + }, + "dataType": { + "@id": "cr:dataType", + "@type": "@vocab" + }, + "dct": "http://purl.org/dc/terms/", + "examples": { + "@id": "cr:examples", + "@type": "@json" + }, + "extract": "cr:extract", + "field": "cr:field", + "fileProperty": "cr:fileProperty", + "fileObject": "cr:fileObject", + "fileSet": "cr:fileSet", + "format": "cr:format", + "includes": "cr:includes", + "isLiveDataset": 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"egg-discrimination/8-attr_8-val_3-dist_10-vocab_10-len", + "name": "egg-discrimination/8-attr_8-val_3-dist_10-vocab_10-len", + "field": [ + { + "@type": "cr:Field", + "@id": "egg-discrimination/8-attr_8-val_3-dist_10-vocab_10-len/content", + "name": "content", + "dataType": "sc:Text", + "source": { + "fileObject": { + "@id": "data/egg-discrimination/data/8-attr_8-val_3-dist_10-vocab_10-len/corpus.json" + }, + "extract": { + "fileProperty": "content" + } + } + } + ] + }, + { + "@type": "cr:RecordSet", + "@id": "egg-discrimination/4-attr_4-val_3-dist_10-vocab_10-len", + "name": "egg-discrimination/4-attr_4-val_3-dist_10-vocab_10-len", + "field": [ + { + "@type": "cr:Field", + "@id": "egg-discrimination/4-attr_4-val_3-dist_10-vocab_10-len/content", + "name": "content", + "dataType": "sc:Text", + "source": { + "fileObject": { + "@id": "data/egg-discrimination/data/4-attr_4-val_3-dist_10-vocab_10-len/corpus.json" + }, + "extract": { + "fileProperty": "content" + } + } + } + ] + }, + { + "@type": "cr:RecordSet", + "@id": "egg-discrimination/6-attr_6-val_3-dist_10-vocab_10-len", + "name": "egg-discrimination/6-attr_6-val_3-dist_10-vocab_10-len", + "field": [ + { + "@type": "cr:Field", + "@id": "egg-discrimination/6-attr_6-val_3-dist_10-vocab_10-len/content", + "name": "content", + "dataType": "sc:Text", + "source": { + "fileObject": { + "@id": "data/egg-discrimination/data/6-attr_6-val_3-dist_10-vocab_10-len/corpus.json" + }, + "extract": { + "fileProperty": "content" + } + } + } + ] + } + ] +} \ No newline at end of file diff --git a/data/babyai-sr/code/.gitignore b/data/babyai-sr/code/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..0e44fece18a504d99bf97b92ab46a586a169bc8c --- /dev/null +++ b/data/babyai-sr/code/.gitignore @@ -0,0 +1 @@ +/save/ diff --git a/data/babyai-sr/code/environment.editable.yml b/data/babyai-sr/code/environment.editable.yml new file mode 100644 index 0000000000000000000000000000000000000000..b569ceb1f80943ef7da8940ed30b071a41326f91 --- /dev/null +++ b/data/babyai-sr/code/environment.editable.yml @@ -0,0 +1,14 @@ +name: babyai-sr +channels: + - pytorch + - conda-forge +dependencies: + - python==3.7.* + - matplotlib<=3.1.3 + - pytorch==1.5.1 + - tensorboardx + - numpy==1.15.4 + - pip: + - gym==0.9.6 + - gym_minigrid@git+https://github.com/thomasaunger/gym-minigrid + - babyai@git+https://github.com/brendon-boldt/babyai-thomasaunger diff --git a/data/babyai-sr/code/environment.yml b/data/babyai-sr/code/environment.yml new file mode 100644 index 0000000000000000000000000000000000000000..dfa2931c4e7bafe73236c8213480d3f065038e0e --- /dev/null +++ b/data/babyai-sr/code/environment.yml @@ -0,0 +1,94 @@ +name: babyai-sr +channels: +- pytorch +- conda-forge +dependencies: +- _libgcc_mutex=0.1=conda_forge +- _openmp_mutex=4.5=2_kmp_llvm +- blas=2.122=mkl +- blas-devel=3.9.0=22_linux64_mkl +- ca-certificates=2024.2.2=hbcca054_0 +- cudatoolkit=10.2.89=hdec6ad0_13 +- cycler=0.11.0=pyhd8ed1ab_0 +- dbus=1.13.6=hfdff14a_1 +- expat=2.6.2=h59595ed_0 +- fontconfig=2.14.2=h14ed4e7_0 +- freetype=2.12.1=h267a509_2 +- gettext=0.22.5=h59595ed_2 +- gettext-tools=0.22.5=h59595ed_2 +- glib=2.66.3=h58526e2_0 +- gst-plugins-base=1.14.5=h0935bb2_2 +- gstreamer=1.14.5=h36ae1b5_2 +- icu=64.2=he1b5a44_1 +- jpeg=9e=h0b41bf4_3 +- kiwisolver=1.4.4=py37h7cecad7_0 +- ld_impl_linux-64=2.40=hf3520f5_1 +- libasprintf=0.22.5=h661eb56_2 +- libasprintf-devel=0.22.5=h661eb56_2 +- libblas=3.9.0=22_linux64_mkl +- libcblas=3.9.0=22_linux64_mkl +- libclang=9.0.1=default_hb4e5071_5 +- libexpat=2.6.2=h59595ed_0 +- libffi=3.2.1=he1b5a44_1007 +- libgcc-ng=13.2.0=h77fa898_7 +- libgettextpo=0.22.5=h59595ed_2 +- libgettextpo-devel=0.22.5=h59595ed_2 +- libgfortran-ng=13.2.0=h69a702a_7 +- libgfortran5=13.2.0=hca663fb_7 +- libglib=2.66.3=hbe7bbb4_0 +- libiconv=1.17=hd590300_2 +- liblapack=3.9.0=22_linux64_mkl +- liblapacke=3.9.0=22_linux64_mkl +- libllvm9=9.0.1=default_hc23dcda_7 +- libpng=1.6.43=h2797004_0 +- libprotobuf=3.20.1=h6239696_4 +- libsqlite=3.45.3=h2797004_0 +- libstdcxx-ng=13.2.0=hc0a3c3a_7 +- libuuid=2.38.1=h0b41bf4_0 +- libxcb=1.16=hd590300_0 +- libxkbcommon=0.10.0=he1b5a44_0 +- libxml2=2.9.10=hee79883_0 +- libzlib=1.2.13=h4ab18f5_6 +- llvm-openmp=18.1.6=ha31de31_0 +- matplotlib=3.1.3=py37_0 +- matplotlib-base=3.1.3=py37h250f245_0 +- mkl=2024.1.0=ha957f24_693 +- mkl-devel=2024.1.0=ha770c72_693 +- mkl-include=2024.1.0=ha957f24_693 +- ncurses=6.5=h59595ed_0 +- ninja=1.12.1=h297d8ca_0 +- nspr=4.35=h27087fc_0 +- nss=3.100=hca3bf56_0 +- numpy=1.15.4=py37h8b7e671_1002 +- openssl=1.1.1w=hd590300_0 +- pcre=8.45=h9c3ff4c_0 +- pip=24.0=pyhd8ed1ab_0 +- protobuf=3.20.1=py37hd23a5d3_0 +- pthread-stubs=0.4=h36c2ea0_1001 +- pyparsing=3.1.2=pyhd8ed1ab_0 +- pyqt=5.12.3=py37h8685d9f_3 +- python=3.7.8=h8bdb77d_2_cpython +- python-dateutil=2.9.0=pyhd8ed1ab_0 +- python_abi=3.7=4_cp37m +- pytorch=1.5.1=py3.7_cuda10.2.89_cudnn7.6.5_0 +- qt=5.12.5=hd8c4c69_1 +- readline=8.2=h8228510_1 +- setuptools=69.0.3=pyhd8ed1ab_0 +- six=1.16.0=pyh6c4a22f_0 +- sqlite=3.45.3=h2c6b66d_0 +- tbb=2021.7.0=h924138e_0 +- tensorboardx=2.5.1=pyhd8ed1ab_0 +- tk=8.6.13=noxft_h4845f30_101 +- tornado=6.2=py37h540881e_0 +- typing-extensions=4.7.1=hd8ed1ab_0 +- typing_extensions=4.7.1=pyha770c72_0 +- wheel=0.42.0=pyhd8ed1ab_0 +- xorg-libxau=1.0.11=hd590300_0 +- xorg-libxdmcp=1.1.3=h7f98852_0 +- xz=5.2.6=h166bdaf_0 +- zlib=1.2.13=h4ab18f5_6 +- zstd=1.5.6=ha6fb4c9_0 +- pip: + - gym==0.9.6 + - gym_minigrid@git+https://github.com/thomasaunger/gym-minigrid + - babyai@git+https://github.com/brendon-boldt/babyai-thomasaunger diff --git a/data/babyai-sr/code/helper.py b/data/babyai-sr/code/helper.py new file mode 100644 index 0000000000000000000000000000000000000000..5ff0017faffb9d537da6e7afb2994be8f3fd6115 --- /dev/null +++ b/data/babyai-sr/code/helper.py @@ -0,0 +1,227 @@ +from argparse import Namespace +import json +from pathlib import Path +from typing import Tuple, List, Dict + +import gym +import torch +import numpy as np + +import babyai.utils as utils +import babyai_sr.utils as utils_sr +from babyai_sr.arguments import ArgumentParser +from babyai_sr.rl.algos import TestAlgo, BaseAlgo +from babyai_sr.rl.utils import ParallelEnv +import util as lib_util + +##### based on repo/babyai_sr/rl/algos/test.py ##### + +SENDER = 0 +RECEIVER = 1 + + +def extract_messages(message, done, active) -> List[List[int]]: + argmax_messages = message.argmax(-1)[:, :, SENDER] + done_np = done.cpu().numpy() + done_idxs = np.argwhere(done_np) + message_list = [] + for i in range(done_idxs.shape[0]): + prev_end = done_idxs[i - 1] if i > 0 else [0, -1] + end = done_idxs[i] + # If we are spanning the border between procs, adjust the prev_end + # to start at the end's proc. + if prev_end[0] != end[0]: + prev_end = [end[0], -1] + # Take messages from the given proc and + indexer = np.s_[prev_end[0], prev_end[1] + 1 : (end[1] + 1)] + ep_messages = argmax_messages[indexer] + # We only want messages for when the sender is active since the + # message is just repeated for the receiver until the sender is + # active again. + ep_active = active[indexer][:, SENDER] + final_ep_messages = ep_messages[ep_active] + message_list.append(final_ep_messages.cpu().tolist()) + return message_list + + +class TestAlgo(BaseAlgo): + def __init__( + self, + env, + models, + num_frames_per_proc=40, + discount=0.99, + gae_lambda=0.99, + preprocess_obss=None, + reshape_reward=None, + use_comm=True, + conventional=False, + argmax=True, + ): + + super().__init__( + env, + models, + num_frames_per_proc, + discount, + gae_lambda, + preprocess_obss, + reshape_reward, + use_comm, + conventional, + argmax, + ) + + def collect_episodes(self, episodes): + # Collect experiences. + exps, _ = self.collect_experiences() + batch = 1 + + shape_prefix = (self.num_procs, self.num_frames_per_proc) + + active = exps.active.view(*shape_prefix, *exps.active.shape[1:]) + done = exps.done.view(*shape_prefix, *exps.done.shape[1:]) + message = exps.message.view(*shape_prefix, *exps.message.shape[1:]) + reward = exps.reward.view(*shape_prefix, *exps.reward.shape[1:]) + + log = { + "return_per_episode": [], + } + + proc = 0 + frame = [0] * self.num_procs + episodes_done = 0 + while True: + if done[proc, frame[proc]]: + episodes_done += 1 + log["return_per_episode"].append( + reward[proc, frame[proc], RECEIVER].item() + ) + if episodes_done == episodes: + break + frame[proc] += 1 + proc = (proc + 1) % self.num_procs + else: + frame[proc] += 1 + + if frame[proc] == batch * self.num_frames_per_proc: + exps, _ = self.collect_experiences() + batch += 1 + + next_active = exps.active.view(*shape_prefix, *exps.active.shape[1:]) + next_done = exps.done.view(*shape_prefix, *exps.done.shape[1:]) + next_message = exps.message.view(*shape_prefix, *exps.message.shape[1:]) + next_reward = exps.reward.view(*shape_prefix, *exps.reward.shape[1:]) + + active = torch.cat((active, next_active), 1) + done = torch.cat((done, next_done), 1) + message = torch.cat((message, next_message), 1) + reward = torch.cat((reward, next_reward), 1) + + message_list = extract_messages(message, done, active) + + return message_list, log + + +##### based on repo/babyai_sr/scripts/test_rl.py ##### + + +def parse_args() -> Namespace: + parser = ArgumentParser() + parser.add_argument("--name", help="name of the configuration") + parser.add_argument("--sender", default=None, help="name of the sender (REQUIRED)") + parser.add_argument( + "--receiver", default=None, help="name of the receiver (REQUIRED)" + ) + parser.add_argument( + "--sample", + action="store_true", + default=False, + help="sample messages instead of using argmax", + ) + parser.add_argument( + "--episodes", + type=int, + default=1000, + help="number of episodes to test on (default: 1000)", + ) + parser.add_argument("--len-message", default=None, help="dummy") + parser.add_argument("--num-symbols", default=None, help="dummy") + return parser.parse_args() + + +def get_episodes(args: Namespace) -> Tuple[List, Dict]: + utils.seed(args.seed) + envs = [] + for i in range(args.procs): + env = gym.make(args.env) + env.seed(100 * args.seed + i) + envs.append(env) + penv = ParallelEnv( + envs, args.n, args.conventional, args.archimedean, args.informed_sender + ) + + sender = utils.load_model(args.sender) + receiver = utils.load_model(args.receiver) + sender.eval() + receiver.eval() + if torch.cuda.is_available(): + sender.cuda() + receiver.cuda() + + reshape_reward = lambda _0, _1, reward, _2: args.reward_scale * reward + obss_preprocessor = utils_sr.MultiObssPreprocessor( + [args.sender, args.receiver], [envs[0].observation_space] * 2 + ) + test_algo = TestAlgo( + penv, + [sender, receiver], + args.frames_per_proc, + args.discount, + args.gae_lambda, + obss_preprocessor, + reshape_reward, + not args.no_comm, + args.conventional, + not args.sample, + ) + + return test_algo.collect_episodes(args.episodes) + + +def write_results(args: Namespace, message_list: List, logs: Dict) -> None: + out_path = Path(f"../../data/{args.name}") + out_path.mkdir(exist_ok=True, parents=True) + + return_per_episode = utils.synthesize(logs["return_per_episode"]) + success_per_episode = utils.synthesize( + [1 if r > 0 else 0 for r in logs["return_per_episode"]] + ) + + metrics = { + "success_rate": success_per_episode["mean"], + "success_rate_std": success_per_episode["std"], + "reward_per_episode": return_per_episode["mean"], + "reward_per_episode_std": return_per_episode["std"], + } + lib_util.write_system_metrics(out_path, metrics) + + with (out_path / "corpus.jsonl").open("w") as fo: + for message in message_list: + flat = [x for y in message for x in y] + json.dump(flat, fo, indent=None) + fo.write("\n") + with (out_path / "corpus.structured.jsonl").open("w") as fo: + for message in message_list: + json.dump(message, fo, indent=None) + fo.write("\n") + + +def main() -> None: + args = parse_args() + message_list, logs = get_episodes(args) + write_results(args, message_list, logs) + + +if __name__ == "__main__": + main() diff --git a/data/babyai-sr/code/repo b/data/babyai-sr/code/repo new file mode 160000 index 0000000000000000000000000000000000000000..d4a3cb757614bc3b343608f751500eeb31f7db7a --- /dev/null +++ b/data/babyai-sr/code/repo @@ -0,0 +1 @@ +Subproject commit d4a3cb757614bc3b343608f751500eeb31f7db7a diff --git a/data/babyai-sr/code/run.sh b/data/babyai-sr/code/run.sh new file mode 100755 index 0000000000000000000000000000000000000000..750b74f29616cd5fd7dd43e9cce4bc0d72a92a77 --- /dev/null +++ b/data/babyai-sr/code/run.sh @@ -0,0 +1,65 @@ +#!/usr/bin/env bash + +set -xe + +export PYTHONPATH=$(realpath repo/) + +args_arr=( + "--name GoToObj --n 8 --env BabyAI-GoToObj-v0" + "--name GoToObjLocked --n 8 --env BabyAI-GoToObjLocked-v0" + + "--name GoToObjUnlocked-freq_1 --n 1 --env BabyAI-GoToObjUnlocked-v0" + "--name GoToObjUnlocked-freq_2 --n 2 --env BabyAI-GoToObjUnlocked-v0" + "--name GoToObjUnlocked-freq_4 --n 4 --env BabyAI-GoToObjUnlocked-v0" + "--name GoToObjUnlocked --n 8 --env BabyAI-GoToObjUnlocked-v0" + "--name GoToObjUnlocked-freq_32 --n 32 --env BabyAI-GoToObjUnlocked-v0" + "--name GoToObjLocked_ambiguous-freq_1 --n 1 --env BabyAI-GoToObjLocked_ambiguous-v0" + "--name GoToObjLocked_ambiguous-freq_2 --n 2 --env BabyAI-GoToObjLocked_ambiguous-v0" + "--name GoToObjLocked_ambiguous-freq_4 --n 4 --env BabyAI-GoToObjLocked_ambiguous-v0" + "--name GoToObjLocked_ambiguous --n 8 --env BabyAI-GoToObjLocked_ambiguous-v0" + "--name GoToObjLocked_ambiguous-freq_32 --n 32 --env BabyAI-GoToObjLocked_ambiguous-v0" + + "--name GoToObjUnlocked-msg_4 --len-message 4 --num-symbols 4 --n 8 --env BabyAI-GoToObjUnlocked-v0" + "--name GoToObjUnlocked-msg_16 --len-message 16 --num-symbols 16 --n 8 --env BabyAI-GoToObjUnlocked-v0" + "--name GoToObjUnlocked-msg_32 --len-message 32 --num-symbols 32 --n 8 --env BabyAI-GoToObjUnlocked-v0" + "--name GoToObjLocked_ambiguous-msg_4 --len-message 4 --num-symbols 4 --n 8 --env BabyAI-GoToObjLocked_ambiguous-v0" + "--name GoToObjLocked_ambiguous-msg_16 --len-message 16 --num-symbols 16 --n 8 --env BabyAI-GoToObjLocked_ambiguous-v0" + "--name GoToObjLocked_ambiguous-msg_32 --len-message 32 --num-symbols 32 --n 8 --env BabyAI-GoToObjLocked_ambiguous-v0" +) + +function get_model_path { + sr=$1 + mod=$(ls models | grep ".*ppo_expert.*$sr" | sort | tail -n1) + echo -n $mod +} + +for idx in $(seq 0 $((${#args_arr[@]} - 1))); do + cd repo + args=${args_arr[$idx]} + # Remove the leading --name arg which is not in the train_rl.py script. + train_args=$(echo $args | cut -d' ' -f3-) + name=$(echo $args | cut -d' ' -f2) + + # Be careful about running this in parallel because the code does not use + # assign unique names to configurations, so get_model_path might get the + # wrong path if multiple instances of this are run in parallel. + eval python scripts/train_rl.py \ + --seed 1 \ + --frames 5e7 \ + --tb \ + $train_args + + orig_sender=$(get_model_path sender) + orig_receiver=$(get_model_path receiver) + sender=$name-sender + receiver=$name-receiver + mv -n models/{$orig_sender,$sender} + mv -n models/{$orig_receiver,$receiver} + + eval python ../helper.py \ + --episodes 5000 \ + --sender $sender \ + --receiver $receiver \ + $args + cd .. +done diff --git a/data/babyai-sr/code/util.py b/data/babyai-sr/code/util.py new file mode 120000 index 0000000000000000000000000000000000000000..2526e5321428277add3cb182e70dea992c01e098 --- /dev/null +++ b/data/babyai-sr/code/util.py @@ -0,0 +1 @@ +../../../util/util.py \ No newline at end of file diff --git a/data/babyai-sr/data/GoToObj/corpus.json b/data/babyai-sr/data/GoToObj/corpus.json new file mode 100644 index 0000000000000000000000000000000000000000..87b0acf408240ec3b869dac6900e8f12d5611ea7 --- /dev/null +++ b/data/babyai-sr/data/GoToObj/corpus.json @@ -0,0 +1,3 @@ +version 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b/data/babyai-sr/metadata.yml new file mode 100644 index 0000000000000000000000000000000000000000..7a3d27d962db1f17bc6e0c25e7b1815eeb93193a --- /dev/null +++ b/data/babyai-sr/metadata.yml @@ -0,0 +1,77 @@ +origin: + source: https://github.com/brendon-boldt/babyai_sr + upstream_source: https://github.com/thomasaunger/babyai_sr + paper: https://arxiv.org/abs/2001.01772 +system: + game_type: navigation + game_subtype: grid + data_source: synthetic + observation_continuous: false + observation_type: vector + seeding_available: true + multi_step: true + multi_utterance: true + more_than_2_agents: false + symmetric_agents: false + variants: + GoToObj: + env: GoToObj + GoToObjLocked: + env: GoToObjLocked + GoToObjLocked_ambiguous: + env: GoToObjLocked_ambiguous + GoToObjLocked_ambiguous-freq_1: + env: GoToObjLocked_ambiguous + message_frequency: 1 + GoToObjLocked_ambiguous-freq_2: + env: GoToObjLocked_ambiguous + message_frequency: 2 + GoToObjLocked_ambiguous-freq_32: + env: GoToObjLocked_ambiguous + message_frequency: 32 + GoToObjLocked_ambiguous-freq_4: + env: GoToObjLocked_ambiguous + message_frequency: 4 + GoToObjLocked_ambiguous-msg_16: + env: GoToObjLocked_ambiguous + message_length: 16 + vocab_size: 16 + GoToObjLocked_ambiguous-msg_32: + env: GoToObjLocked_ambiguous + message_length: 32 + vocab_size: 32 + GoToObjLocked_ambiguous-msg_4: + env: GoToObjLocked_ambiguous + message_length: 4 + vocab_size: 4 + GoToObjUnlocked: + env: GoToObjUnlocked + GoToObjUnlocked-freq_1: + env: GoToObjUnlocked + message_frequency: 1 + GoToObjUnlocked-freq_2: + env: GoToObjUnlocked + message_frequency: 2 + GoToObjUnlocked-freq_32: + env: GoToObjUnlocked + message_frequency: 32 + GoToObjUnlocked-freq_4: + env: GoToObjUnlocked + message_frequency: 4 + GoToObjUnlocked-msg_16: + env: GoToObjUnlocked + message_length: 16 + vocab_size: 16 + GoToObjUnlocked-msg_32: + env: GoToObjUnlocked + message_length: 32 + vocab_size: 32 + GoToObjUnlocked-msg_4: + env: GoToObjUnlocked + message_length: 4 + vocab_size: 4 +notes: > + Default + message_frequency is every 8 steps, + message_length is 8, + vocab_size is 8. diff --git a/data/corpus-transfer-yao-et-al/code/environment.editable.yml b/data/corpus-transfer-yao-et-al/code/environment.editable.yml new file mode 100644 index 0000000000000000000000000000000000000000..ba832d364aa0e76e737e997d1fa861f68b4b356d --- /dev/null +++ b/data/corpus-transfer-yao-et-al/code/environment.editable.yml @@ -0,0 +1,19 @@ +name: corpus-transfer +channels: + - nvidia + - pytorch + - conda-forge + - nodefaults +dependencies: + # Script deps + - gdown==5 + - jq + # Python deps + - pytorch==1.8 + - pytorch-cuda + - numpy=1.21 + - scipy==1.4 + - transformers==4.4.2 + - datasets + - packaging=21.3 + - mkl==2024.0 diff --git a/data/corpus-transfer-yao-et-al/code/environment.yml b/data/corpus-transfer-yao-et-al/code/environment.yml new file mode 100644 index 0000000000000000000000000000000000000000..18722b46e09593551bcc21219ab7c5553f0f2d41 --- /dev/null +++ b/data/corpus-transfer-yao-et-al/code/environment.yml @@ -0,0 +1,159 @@ +name: corpus-transfer +channels: +- conda-forge +- nvidia +- pytorch +dependencies: +- _libgcc_mutex=0.1=conda_forge +- _openmp_mutex=4.5=2_kmp_llvm +- aiohttp=3.9.3=py38h01eb140_1 +- aiosignal=1.3.1=pyhd8ed1ab_0 +- async-timeout=4.0.3=pyhd8ed1ab_0 +- attrs=23.2.0=pyh71513ae_0 +- aws-c-auth=0.7.3=h28f7589_1 +- aws-c-cal=0.6.1=hc309b26_1 +- aws-c-common=0.9.0=hd590300_0 +- aws-c-compression=0.2.17=h4d4d85c_2 +- aws-c-event-stream=0.3.1=h2e3709c_4 +- aws-c-http=0.7.11=h00aa349_4 +- aws-c-io=0.13.32=he9a53bd_1 +- aws-c-mqtt=0.9.3=hb447be9_1 +- aws-c-s3=0.3.14=hf3aad02_1 +- aws-c-sdkutils=0.1.12=h4d4d85c_1 +- aws-checksums=0.1.17=h4d4d85c_1 +- aws-crt-cpp=0.21.0=hb942446_5 +- aws-sdk-cpp=1.10.57=h85b1a90_19 +- beautifulsoup4=4.12.3=pyha770c72_0 +- blas=1.0=mkl +- brotli-python=1.0.9=py38hfa26641_9 +- bzip2=1.0.8=hd590300_5 +- c-ares=1.28.1=hd590300_0 +- ca-certificates=2024.2.2=hbcca054_0 +- certifi=2024.2.2=pyhd8ed1ab_0 +- charset-normalizer=3.3.2=pyhd8ed1ab_0 +- click=8.1.7=unix_pyh707e725_0 +- colorama=0.4.6=pyhd8ed1ab_0 +- cuda-cudart=12.1.105=0 +- cuda-cupti=12.1.105=0 +- cuda-libraries=12.1.0=0 +- cuda-nvrtc=12.1.105=0 +- cuda-nvtx=12.1.105=0 +- cuda-opencl=12.4.127=0 +- cuda-runtime=12.1.0=0 +- cudatoolkit=11.1.74=h6bb024c_0 +- dataclasses=0.8=pyhc8e2a94_3 +- datasets=2.18.0=pyhd8ed1ab_0 +- dill=0.3.8=pyhd8ed1ab_0 +- filelock=3.13.3=pyhd8ed1ab_0 +- frozenlist=1.4.1=py38h01eb140_0 +- fsspec=2024.2.0=pyhca7485f_0 +- gdown=5.0.0=pyhd8ed1ab_0 +- gflags=2.2.2=he1b5a44_1004 +- glog=0.6.0=h6f12383_0 +- huggingface_hub=0.22.2=pyhd8ed1ab_0 +- icu=73.2=h59595ed_0 +- idna=3.6=pyhd8ed1ab_0 +- joblib=1.4.0=pyhd8ed1ab_0 +- jq=1.7.1=hd590300_0 +- keyutils=1.6.1=h166bdaf_0 +- krb5=1.21.2=h659d440_0 +- ld_impl_linux-64=2.40=h41732ed_0 +- libabseil=20230125.3=cxx17_h59595ed_0 +- libarrow=12.0.1=h10ac928_8_cpu +- libblas=3.9.0=21_linux64_mkl +- libbrotlicommon=1.0.9=h166bdaf_9 +- libbrotlidec=1.0.9=h166bdaf_9 +- libbrotlienc=1.0.9=h166bdaf_9 +- libcblas=3.9.0=21_linux64_mkl +- libcrc32c=1.1.2=h9c3ff4c_0 +- libcublas=12.1.0.26=0 +- libcufft=11.0.2.4=0 +- libcufile=1.9.1.3=0 +- libcurand=10.3.5.147=0 +- libcurl=8.7.1=hca28451_0 +- libcusolver=11.4.4.55=0 +- libcusparse=12.0.2.55=0 +- libedit=3.1.20191231=he28a2e2_2 +- libev=4.33=hd590300_2 +- libevent=2.1.12=hf998b51_1 +- libffi=3.4.2=h7f98852_5 +- libgcc-ng=13.2.0=h807b86a_5 +- libgfortran-ng=7.5.0=h14aa051_20 +- libgfortran4=7.5.0=h14aa051_20 +- libgoogle-cloud=2.12.0=h840a212_1 +- libgrpc=1.56.2=h3905398_1 +- libhwloc=2.9.3=default_h554bfaf_1009 +- libiconv=1.17=hd590300_2 +- liblapack=3.9.0=21_linux64_mkl +- libnghttp2=1.58.0=h47da74e_1 +- libnpp=12.0.2.50=0 +- libnsl=2.0.1=hd590300_0 +- libnuma=2.0.18=hd590300_0 +- libnvjitlink=12.1.105=0 +- libnvjpeg=12.1.1.14=0 +- libprotobuf=4.23.3=hd1fb520_1 +- libsqlite=3.45.2=h2797004_0 +- libssh2=1.11.0=h0841786_0 +- libstdcxx-ng=13.2.0=h7e041cc_5 +- libthrift=0.18.1=h8fd135c_2 +- libutf8proc=2.8.0=h166bdaf_0 +- libuuid=2.38.1=h0b41bf4_0 +- libuv=1.48.0=hd590300_0 +- libxcrypt=4.4.36=hd590300_1 +- libxml2=2.12.6=h232c23b_1 +- libzlib=1.2.13=hd590300_5 +- llvm-openmp=18.1.3=h4dfa4b3_0 +- lz4-c=1.9.4=hcb278e6_0 +- mkl=2024.0.0=ha957f24_49657 +- multidict=6.0.5=py38h01eb140_0 +- multiprocess=0.70.16=py38h01eb140_0 +- ncurses=6.4.20240210=h59595ed_0 +- ninja=1.11.1=h924138e_0 +- numpy=1.21.6=py38h1d589f8_0 +- oniguruma=6.9.9=hd590300_0 +- openssl=3.2.1=hd590300_1 +- orc=1.9.0=h385abfd_1 +- packaging=21.3=pyhd8ed1ab_0 +- pandas=2.0.3=py38h01efb38_1 +- pip=24.0=pyhd8ed1ab_0 +- pyarrow=12.0.1=py38h39356d1_8_cpu +- pyarrow-hotfix=0.6=pyhd8ed1ab_0 +- pyparsing=3.1.2=pyhd8ed1ab_0 +- pysocks=1.7.1=pyha2e5f31_6 +- python=3.8.19=hd12c33a_0_cpython +- python-dateutil=2.9.0=pyhd8ed1ab_0 +- python-tzdata=2024.1=pyhd8ed1ab_0 +- python-xxhash=3.4.1=py38h01eb140_0 +- python_abi=3.8=4_cp38 +- pytorch=1.8.0=py3.8_cuda11.1_cudnn8.0.5_0 +- pytorch-cuda=12.1=ha16c6d3_5 +- pytz=2024.1=pyhd8ed1ab_0 +- pyyaml=6.0.1=py38h01eb140_1 +- rdma-core=28.9=h59595ed_1 +- re2=2023.03.02=h8c504da_0 +- readline=8.2=h8228510_1 +- regex=2023.12.25=py38h01eb140_0 +- requests=2.31.0=pyhd8ed1ab_0 +- s2n=1.3.49=h06160fa_0 +- sacremoses=0.0.53=pyhd8ed1ab_0 +- scipy=1.4.0=py38h921218d_0 +- setuptools=69.2.0=pyhd8ed1ab_0 +- six=1.16.0=pyh6c4a22f_0 +- snappy=1.1.10=hdb0a2a9_1 +- soupsieve=2.5=pyhd8ed1ab_1 +- tbb=2021.11.0=h00ab1b0_1 +- tk=8.6.13=noxft_h4845f30_101 +- tokenizers=0.10.3=py38hb63a372_1 +- tqdm=4.66.2=pyhd8ed1ab_0 +- transformers=4.4.2=pyhd8ed1ab_0 +- typing-extensions=4.11.0=hd8ed1ab_0 +- typing_extensions=4.11.0=pyha770c72_0 +- ucx=1.14.1=h64cca9d_5 +- urllib3=2.2.1=pyhd8ed1ab_0 +- wheel=0.43.0=pyhd8ed1ab_1 +- xxhash=0.8.2=hd590300_0 +- xz=5.2.6=h166bdaf_0 +- yaml=0.2.5=h7f98852_2 +- yarl=1.9.4=py38h01eb140_0 +- zstd=1.5.5=hfc55251_0 + diff --git a/data/corpus-transfer-yao-et-al/code/repo b/data/corpus-transfer-yao-et-al/code/repo new file mode 160000 index 0000000000000000000000000000000000000000..bfe1d969d2b5cc26412a2185ca139884ab01200a --- /dev/null +++ b/data/corpus-transfer-yao-et-al/code/repo @@ -0,0 +1 @@ +Subproject commit bfe1d969d2b5cc26412a2185ca139884ab01200a diff --git a/data/corpus-transfer-yao-et-al/code/run.sh b/data/corpus-transfer-yao-et-al/code/run.sh new file mode 100755 index 0000000000000000000000000000000000000000..fc6758f8fafe0220f0f56e85cb047128d28f197d --- /dev/null +++ b/data/corpus-transfer-yao-et-al/code/run.sh @@ -0,0 +1,34 @@ +#!/usr/bin/env bash + +set -e + +cd repo/ec-game +# gdown --folder https://drive.google.com/drive/folders/1u5JHzt5U-w8Y0vBoT8-I9lacROXWUXs5 +# mv image_features data + +for dataset in cc coco_2014; do + python train.py --dataset $dataset --name default --extract $dataset + pt_path=(./ckpt/${dataset}_vocab_4035_seq_15_reset_-1_nlayers_1/run-default/model_*_999_4035.pt-${dataset}.pt) + out_path=../../data/${dataset} + mkdir -p $out_path + + out_metadata=$out_path/metadata.json + if ! [[ -s $out_metadata ]]; then + echo '{}' >$out_metadata + fi + acc=$(basename $pt_path | cut -d_ -f2) + jq ".metrics.system.acc=$acc" \ + <$out_metadata >$out_metadata.tmp + mv $out_metadata{.tmp,} + + sed 's/^ //' <<- EOF | python + import torch + import json + corpus = torch.load("$pt_path").tolist() + with open("${out_path}/corpus.jsonl", "w") as fo: + for row in corpus: + fo.write(json.dumps(row, indent=None)) + fo.write("\n") +EOF + +done diff --git a/data/corpus-transfer-yao-et-al/data/cc/corpus.json b/data/corpus-transfer-yao-et-al/data/cc/corpus.json new file mode 100644 index 0000000000000000000000000000000000000000..d641e428ead83f8e8eb0114bb8fe67f3483cee89 --- /dev/null +++ b/data/corpus-transfer-yao-et-al/data/cc/corpus.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7a5fff77acb51faa1c3e0738f055929981d441f7dced6b28e6286c79c3936519 +size 109583532 diff --git a/data/corpus-transfer-yao-et-al/data/cc/corpus.jsonl b/data/corpus-transfer-yao-et-al/data/cc/corpus.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5a71f1a9f661982375333bfbf781a7284b529526 --- /dev/null +++ b/data/corpus-transfer-yao-et-al/data/cc/corpus.jsonl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4b9940e66d765d407050782ad85e15df73728203aa963f28ed05ec4084bdad38 +size 149696148 diff --git a/data/corpus-transfer-yao-et-al/data/cc/metadata.json b/data/corpus-transfer-yao-et-al/data/cc/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4e79d50e3b49b0d970204dacef846cfb25da3c53 --- /dev/null +++ b/data/corpus-transfer-yao-et-al/data/cc/metadata.json @@ -0,0 +1,22 @@ +{ + "metrics": { + "system": { + "acc": 36.42 + }, + "analysis": { + "Token Count": 42977805, + "Line Count": 2865187, + "Tokens per Line": 15.0, + "Tokens per Line SD": 0.0, + "Unique Tokens": 391, + "Unique Lines": 309405, + "1-gram Entropy": 1.3983061027674797, + "1-gram Normalized Entropy": 0.16238556219286776, + "2-gram Entropy": 2.059689262620149, + "2-gram Conditional Entropy": 0.6613831598526692, + "Entropy per Line": 20.974591541512382, + "EoS Token Present": true, + "EoS Padding": true + } + } +} \ No newline at end of file diff --git a/data/corpus-transfer-yao-et-al/data/coco_2014/corpus.json b/data/corpus-transfer-yao-et-al/data/coco_2014/corpus.json new file mode 100644 index 0000000000000000000000000000000000000000..fd21c54faa8b2092bab15b3f7af26a33291ad0cf --- /dev/null +++ b/data/corpus-transfer-yao-et-al/data/coco_2014/corpus.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9f5e1e7f938f43aa99b7d1c55ecec493266a2c3f791c70d9bf4c0e441bfefd32 +size 5740558 diff --git a/data/corpus-transfer-yao-et-al/data/coco_2014/corpus.jsonl b/data/corpus-transfer-yao-et-al/data/coco_2014/corpus.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..52a2f8886c0aaffa0c36600ff573c81f19e9e391 --- /dev/null +++ b/data/corpus-transfer-yao-et-al/data/coco_2014/corpus.jsonl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:eb1b22669fa5b5a7ea70de94dcf83e2f7cbd59d678698828c634b5fb00a994fd +size 6899518 diff --git a/data/corpus-transfer-yao-et-al/data/coco_2014/metadata.json b/data/corpus-transfer-yao-et-al/data/coco_2014/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5f41b23ec4284b775f91c4ff5f00d0d9d5586e9a --- /dev/null +++ b/data/corpus-transfer-yao-et-al/data/coco_2014/metadata.json @@ -0,0 +1,22 @@ +{ + "metrics": { + "system": { + "acc": 98.12 + }, + "analysis": { + "Token Count": 1241745, + "Line Count": 82783, + "Tokens per Line": 15.0, + "Tokens per Line SD": 0.0, + "Unique Tokens": 902, + "Unique Lines": 82783, + "1-gram Entropy": 6.5993211324829595, + "1-gram Normalized Entropy": 0.6722351167877958, + "2-gram Entropy": 12.884451168834724, + "2-gram Conditional Entropy": 6.285130036351765, + "Entropy per Line": 98.98981698724984, + "EoS Token Present": true, + "EoS Padding": false + } + } +} \ No newline at end of file diff --git a/data/corpus-transfer-yao-et-al/metadata.yml b/data/corpus-transfer-yao-et-al/metadata.yml new file mode 100644 index 0000000000000000000000000000000000000000..25596ac6035ed87fc681830a6097563cf29757e0 --- /dev/null +++ b/data/corpus-transfer-yao-et-al/metadata.yml @@ -0,0 +1,20 @@ +origin: + source: https://github.com/brendon-boldt/ec-nl + upstream_source: https://github.com/ysymyth/ec-nl + paper: https://openreview.net/forum?id=49A1Y6tRhaq +system: + game_type: signalling + game_subtype: discrimination + observation_type: image + observation_continuous: true + data_source: natural + seeding_available: true + symmetric_agents: false + multi_step: false + multi_utterance: false + more_than_2_agents: false + variants: + coco_2014: + dataset: coco_2014 + cc: + dataset: conceptual_captions diff --git a/data/ec-at-scale/code/.gitignore b/data/ec-at-scale/code/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..9cdf4f05265644803d75d8a4ebfea8c58ea420fb --- /dev/null +++ b/data/ec-at-scale/code/.gitignore @@ -0,0 +1 @@ +/checkpoint/ diff --git a/data/ec-at-scale/code/README.md b/data/ec-at-scale/code/README.md new file mode 100644 index 0000000000000000000000000000000000000000..20ad1ac86cd5ff4a5b26c298e2c7bde538d5fe27 --- /dev/null +++ b/data/ec-at-scale/code/README.md @@ -0,0 +1,13 @@ +# Emergent Communication at Scale + +- If running experiments, familiarize yourself with `helper.py` at the very + least as this defines the hyperparameters for each config as provides useful + options like skipping training and doing eval only. +- For changing hyperparameters, please see + `emergent_communication_at_scale/configs/lewis_config.py` for the list of + hyperparameters (and their defaults). +- We are not able to replicate the 50x50 experiment even with an A100 80 GiB + possibly because the original experiment were run on a TPU. +- If using conda/mamba, create the environment with `--channel-priority + flexible`. This is needed due to conda-forge not having all of the necessary + packages and the nvidia channel not specifying dependencies correctly. diff --git a/data/ec-at-scale/code/emergent_communication_at_scale b/data/ec-at-scale/code/emergent_communication_at_scale new file mode 160000 index 0000000000000000000000000000000000000000..297f3901b03a9fd6d67a84ec8b3ccc468d8eed5d --- /dev/null +++ b/data/ec-at-scale/code/emergent_communication_at_scale @@ -0,0 +1 @@ +Subproject commit 297f3901b03a9fd6d67a84ec8b3ccc468d8eed5d diff --git a/data/ec-at-scale/code/environment.yml b/data/ec-at-scale/code/environment.yml new file mode 100644 index 0000000000000000000000000000000000000000..ee005e9f808f9fc0ebc22b4dd1af609d899721b6 --- /dev/null +++ b/data/ec-at-scale/code/environment.yml @@ -0,0 +1,79 @@ +name: ec-at-scale +channels: + - conda-forge + - nvidia + - nodefaults +dependencies: + - python==3.9.* + - cudatoolkit==11.8.* + - cudnn~=8.0 + - nvidia::cuda-nvcc==11.8.* + - pip: + - absl-py==1.0.0 + - astunparse==1.6.3 + - cachetools==5.3.3 + - certifi==2024.2.2 + - charset-normalizer==3.3.2 + - chex==0.1.0 + - cloudpickle==3.0.0 + - contextlib2==21.6.0 + - decorator==5.1.1 + - dill==0.3.8 + - distrax==0.1.3 + - dm-haiku==0.0.6 + - dm-tree==0.1.6 + - editdistance==0.6.0 + - flatbuffers==2.0.7 + - gast==0.5.4 + - google-auth==2.28.2 + - google-auth-oauthlib==0.4.6 + - google-pasta==0.2.0 + - googleapis-common-protos==1.63.0 + - grpcio==1.62.1 + - h5py==3.10.0 + - idna==3.6 + - importlib_metadata==7.0.2 + - jax==0.3.0 + - -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html # This line impacts the following line + - jaxlib==0.3.0+cuda11.cudnn82 + - jaxline @ git+https://github.com/google-deepmind/jaxline@f1503f6a06d46aa9eb2eab8eed6130895148ffa2 + - jmp==0.0.4 + - keras==2.8.0 + - Keras-Preprocessing==1.1.2 + - libclang==16.0.6 + - Markdown==3.5.2 + - MarkupSafe==2.1.5 + - ml_collections==0.1.1 + - numpy==1.22.2 + - oauthlib==3.2.2 + - opt-einsum==3.3.0 + - optax==0.1.1 + - promise==2.3 + - protobuf==3.20.3 + - pyasn1==0.5.1 + - pyasn1-modules==0.3.0 + - PyYAML==6.0.1 + - requests==2.31.0 + - requests-oauthlib==1.4.0 + - rlax==0.1.2 + - rsa==4.9 + - scipy==1.8.0 + - six==1.16.0 + - tabulate==0.9.0 + - tensorboard==2.8.0 + - tensorboard-data-server==0.6.1 + - tensorboard-plugin-wit==1.8.1 + - tensorflow==2.8.0 + - tensorflow-datasets==4.5.2 + - tensorflow-io-gcs-filesystem==0.36.0 + - tensorflow-metadata==1.14.0 + - tensorflow-probability==0.16.0 + - termcolor==2.4.0 + - tf-estimator-nightly==2.8.0.dev2021122109 + - toolz==0.12.1 + - tqdm==4.66.2 + - typing_extensions==4.10.0 + - urllib3==2.2.1 + - Werkzeug==3.0.1 + - wrapt==1.16.0 + - zipp==3.18.0 diff --git a/data/ec-at-scale/code/helper.py b/data/ec-at-scale/code/helper.py new file mode 100644 index 0000000000000000000000000000000000000000..d9f0a6f349d0344417e926841d519e1759f67577 --- /dev/null +++ b/data/ec-at-scale/code/helper.py @@ -0,0 +1,74 @@ +import json +import subprocess +from typing import Union + +Variant = dict[str, Union[str, float, int]] + +default_variant: Variant = { + "random_seed": 0, + "experiment_kwargs.config.population.n_speakers": 0, + "experiment_kwargs.config.population.n_listeners": 0, + "training_steps": int(2e5), # Originally int(2e5) +} + + +variants: dict[str, Variant] = { + "1x1": { + "experiment_kwargs.config.population.n_speakers": 1, + "experiment_kwargs.config.population.n_listeners": 1, + "experiment_kwargs.config.population.num_agents_per_step": 1, + }, + "5x5": { + "experiment_kwargs.config.population.n_speakers": 5, + "experiment_kwargs.config.population.n_listeners": 5, + "experiment_kwargs.config.population.num_agents_per_step": 5, + }, + "10x10": { + "experiment_kwargs.config.population.n_speakers": 10, + "experiment_kwargs.config.population.n_listeners": 10, + "experiment_kwargs.config.population.num_agents_per_step": 10, + }, + "1x10": { + "experiment_kwargs.config.population.n_speakers": 10, + "experiment_kwargs.config.population.n_listeners": 10, + "experiment_kwargs.config.population.num_agents_per_step": 10, + }, + "10x1": { + "experiment_kwargs.config.population.n_speakers": 10, + "experiment_kwargs.config.population.n_listeners": 1, + "experiment_kwargs.config.population.num_agents_per_step": 10, + }, +} + + +def make_cmd(var: Variant) -> list[str]: + config_flags = [f"--config.{k}={v}" for k, v in var.items()] + # fmt: off + return [ + "python", + "-m", "emergent_communication_at_scale.main", + f"--config=emergent_communication_at_scale/configs/lewis_config.py:imagenet", + # To skip training and eval only, uncomment the follwing: + # "--config.skip_train", + *config_flags, + ] + # fmt: on + +def main() -> None: + for name, variant in variants.items(): + variant = default_variant | variant + # For now, ImageNet is the only dataset that works; the CelebA provided + # is missing metdata. + checkpoint_dir = f"./checkpoint/imagenet-{name}" + variant["checkpoint_dir"] = checkpoint_dir + cmd = make_cmd(variant) + subprocess.run(cmd) + with open(checkpoint_dir + "/metadata.json", "r+") as fo: + data = json.load(fo) + fo.seek(0) + json.dump({"metrics": {"system": data}}, fo) + fo.truncate() + + +if __name__ == "__main__": + main() diff --git a/data/ec-at-scale/code/run.sh b/data/ec-at-scale/code/run.sh new file mode 100755 index 0000000000000000000000000000000000000000..7149f968109e00b2754c1c34b8431e240210c6e4 --- /dev/null +++ b/data/ec-at-scale/code/run.sh @@ -0,0 +1,30 @@ +#!/usr/bin/env bash + +set -e + +cd emergent_communication_at_scale + mkdir -p emcom_datasets/ + cd emcom_datasets + wget https://storage.googleapis.com/dm_emcom_at_scale_dataset/byol_celeb_a2.tar.gz + tar xf byol_celeb_a2.tar.gz + wget https://storage.googleapis.com/dm_emcom_at_scale_dataset/byol_imagenet2012.tar.gz + tar xf byol_imagenet2012.tar.gz + cd .. +cd .. + +# Python cannot find the CUDA libraries without manually inserting the conad +# environment's /lib path into the LD_LIBRARY_PATH +CONDA_LIB_DIR=$(which python | sed s,bin/python,lib,) +export LD_LIBRARY_PATH=${LD_LIBRARY_PATH:+$LD_LIBRARY_PATH:}$CONDA_LIB_DIR + +# If this is unset, the code will OOM on an 11 GiB card, possibly due to jax +# and TensorFlow both preallocating. +export XLA_PYTHON_CLIENT_PREALLOCATE=false + +python helper.py + +for dir in checkpoint/*/; do + target=../data/$(basename $dir) + mkdir -p $target + cp $dir/{corpus.jsonl,metadata.json} $target +done diff --git a/data/ec-at-scale/data/imagenet-10x1/corpus.json b/data/ec-at-scale/data/imagenet-10x1/corpus.json new file mode 100644 index 0000000000000000000000000000000000000000..62d2d291ec8682bec2f904e32b691e1157c3207f --- /dev/null +++ b/data/ec-at-scale/data/imagenet-10x1/corpus.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:11db0bd353190d6e92fbaa88de62fc426c8fc72ebba7a9d0eb7289bcb862817e +size 6896944 diff --git a/data/ec-at-scale/data/imagenet-10x1/corpus.jsonl b/data/ec-at-scale/data/imagenet-10x1/corpus.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f5cd3c8da99eebdbc4b905c84fed67350299197d --- /dev/null +++ b/data/ec-at-scale/data/imagenet-10x1/corpus.jsonl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:718ca2aa22edd226528faaeca9e594d659213054b462b642b20d3e8c60c10758 +size 6896942 diff --git a/data/ec-at-scale/data/imagenet-10x1/metadata.json b/data/ec-at-scale/data/imagenet-10x1/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..827e3efff11bf4a5c597dc0b4f998381353281f1 --- /dev/null +++ b/data/ec-at-scale/data/imagenet-10x1/metadata.json @@ -0,0 +1,33 @@ +{ + "metrics": { + "system": { + "ensemble_acc": 0.9495784044265747, + "entropy_loss": -2.2872351109981537e-05, + "global_accuracy": 0.9495784044265747, + "kl_target_loss": 0.0022421739995479584, + "listener_loss": 5.152955055236816, + "policy_loss": -0.004908442031592131, + "speaker_entropy": 0.2287234514951706, + "speaker_loss": 0.04276631772518158, + "value": 0.9595987200737, + "value_loss": 0.04545542597770691, + "topographic_similarity": 0.14282985045338095, + "edit_distance": 0.16641983999999996 + }, + "analysis": { + "Token Count": 2500000, + "Line Count": 250000, + "Tokens per Line": 10.0, + "Tokens per Line SD": 0.0, + "Unique Tokens": 20, + "Unique Lines": 161235, + "1-gram Entropy": 3.980879019954636, + "1-gram Normalized Entropy": 0.9210886744422769, + "2-gram Entropy": 6.811992078533236, + "2-gram Conditional Entropy": 2.8311130585786, + "Entropy per Line": 39.80879019954635, + "EoS Token Present": false, + "EoS Padding": false + } + } +} \ No newline at end of file diff --git a/data/ec-at-scale/data/imagenet-10x10/corpus.json b/data/ec-at-scale/data/imagenet-10x10/corpus.json new file mode 100644 index 0000000000000000000000000000000000000000..f82342397f767def950a674196c5f0bb029c7a25 --- /dev/null +++ b/data/ec-at-scale/data/imagenet-10x10/corpus.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6da42201c915cab36d3faf8fe42c20b8c24e25eee1796f46276264129281b3e8 +size 6761368 diff --git a/data/ec-at-scale/data/imagenet-10x10/corpus.jsonl b/data/ec-at-scale/data/imagenet-10x10/corpus.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..867495e3079afce57dc95366d711fba827861a49 --- /dev/null +++ b/data/ec-at-scale/data/imagenet-10x10/corpus.jsonl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2f329b7bc0328c40fd47548f7c85e769dc46ee7305bc6a69bb7cc28893cc9e86 +size 6761366 diff --git a/data/ec-at-scale/data/imagenet-10x10/metadata.json b/data/ec-at-scale/data/imagenet-10x10/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..141fb966bfe206a066556ebf07d263bfee6c75cc --- /dev/null +++ b/data/ec-at-scale/data/imagenet-10x10/metadata.json @@ -0,0 +1,33 @@ +{ + "metrics": { + "system": { + "ensemble_acc": 0.8967329859733582, + "entropy_loss": -1.821271507651545e-05, + "global_accuracy": 0.8963063955307007, + "kl_target_loss": 0.006626024376600981, + "listener_loss": 5.205354690551758, + "policy_loss": -0.006656202487647533, + "speaker_entropy": 0.18212734162807465, + "speaker_loss": 0.08584365993738174, + "value": 0.9049876928329468, + "value_loss": 0.08589214086532593, + "topographic_similarity": 0.17428967367480422, + "edit_distance": 0.2886908177777778 + }, + "analysis": { + "Token Count": 2500000, + "Line Count": 250000, + "Tokens per Line": 10.0, + "Tokens per Line SD": 0.0, + "Unique Tokens": 20, + "Unique Lines": 126775, + "1-gram Entropy": 3.9087127249184563, + "1-gram Normalized Entropy": 0.9043909660464456, + "2-gram Entropy": 6.328753505935751, + "2-gram Conditional Entropy": 2.4200407810172946, + "Entropy per Line": 39.08712724918456, + "EoS Token Present": false, + "EoS Padding": false + } + } +} \ No newline at end of file diff --git a/data/ec-at-scale/data/imagenet-1x1/corpus.json 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Entropy": 2.761016244386341, + "Entropy per Line": 41.21796430003004, + "EoS Token Present": false, + "EoS Padding": false + } + } +} \ No newline at end of file diff --git a/data/ec-at-scale/data/imagenet-1x10/corpus.json b/data/ec-at-scale/data/imagenet-1x10/corpus.json new file mode 100644 index 0000000000000000000000000000000000000000..b6a62b3340603c856bdb251b28d1081f024dbe0e --- /dev/null +++ b/data/ec-at-scale/data/imagenet-1x10/corpus.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1f6304789e7a2f98faed3eb8447eba1da2bd80a42de5c80d73d77d3ec8f027c1 +size 6709350 diff --git a/data/ec-at-scale/data/imagenet-1x10/corpus.jsonl b/data/ec-at-scale/data/imagenet-1x10/corpus.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1bfb412c4a7af53a696625b3d45404663194172d --- /dev/null +++ b/data/ec-at-scale/data/imagenet-1x10/corpus.jsonl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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0000000000000000000000000000000000000000..2e8994659c3737b317a7abd93e9244cb9396243c --- /dev/null +++ b/data/ec-at-scale/data/imagenet-5x5/corpus.jsonl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c0128191b58ee36f73b9a0c6d212a8509de18e19fadafa3b49820bf104fa42c7 +size 6859466 diff --git a/data/ec-at-scale/data/imagenet-5x5/metadata.json b/data/ec-at-scale/data/imagenet-5x5/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4fa8de7faf820e228d3bc3cee0624dff039f89d7 --- /dev/null +++ b/data/ec-at-scale/data/imagenet-5x5/metadata.json @@ -0,0 +1,33 @@ +{ + "metrics": { + "system": { + "ensemble_acc": 0.9424194097518921, + "entropy_loss": -2.5158240532618947e-05, + "global_accuracy": 0.9426048398017883, + "kl_target_loss": 0.0037637706845998764, + "listener_loss": 5.16317892074585, + "policy_loss": -0.0060182115994393826, + "speaker_entropy": 0.25158238410949707, + "speaker_loss": 0.049172066152095795, + "value": 0.9527910947799683, + "value_loss": 0.051451701670885086, + "topographic_similarity": 0.1784494698257515, + "edit_distance": 0.18826568000000002 + }, + "analysis": { + "Token Count": 2500000, + "Line Count": 250000, + "Tokens per Line": 10.0, + "Tokens per Line SD": 0.0, + "Unique Tokens": 20, + "Unique Lines": 169505, + "1-gram Entropy": 4.2131963272482045, + "1-gram Normalized Entropy": 0.9748418378899495, + "2-gram Entropy": 7.137787664072739, + "2-gram Conditional Entropy": 2.924591336824535, + "Entropy per Line": 42.131963272482025, + "EoS Token Present": false, + "EoS Padding": false + } + } +} \ No newline at end of file diff --git a/data/ec-at-scale/metadata.yml b/data/ec-at-scale/metadata.yml new file mode 100644 index 0000000000000000000000000000000000000000..5ac384b7899b015139a4593b8c25885576ba8b9a --- /dev/null +++ b/data/ec-at-scale/metadata.yml @@ -0,0 +1,31 @@ +origin: + source: https://github.com/brendon-boldt/emergent_communication_at_scale + upstream_source: https://github.com/google-deepmind/emergent_communication_at_scale + paper: https://openreview.net/forum?id=AUGBfDIV9rL +system: + game_type: signalling + data_source: natural + game_subtype: discrimination + observation_type: image + observation_continuous: true + seeding_available: true + multi_step: false + more_than_2_agents: true + multi_utterance: false + symmetric_agents: false + variants: + imagenet-1x10: + n_receivers: 10 + n_senders: 1 + imagenet-10x10: + n_receivers: 10 + n_senders: 10 + imagenet-5x5: + n_receivers: 5 + n_senders: 5 + imagenet-1x1: + n_receivers: 1 + n_senders: 1 + imagenet-10x1: + n_receivers: 1 + n_senders: 10 diff --git a/data/egg-discrimination/code/environment.editable.yml b/data/egg-discrimination/code/environment.editable.yml new file mode 100644 index 0000000000000000000000000000000000000000..b266d481c8aa3e52f77971dce3e0f518ad88f25d --- /dev/null +++ b/data/egg-discrimination/code/environment.editable.yml @@ -0,0 +1,17 @@ +name: fair-egg +channels: + - torch + - conda-forge + - nodefaults +dependencies: + - pytorch>=1.1.0 + - torchvision + - scipy + - numpy + - pytest + - editdistance + - dataclasses + - rich + - scikit-learn + - wandb + - submitit diff --git a/data/egg-discrimination/code/environment.yml b/data/egg-discrimination/code/environment.yml new file mode 100644 index 0000000000000000000000000000000000000000..2ff400b1eec8d775d0ca7257e21c80ea7abc2333 --- /dev/null +++ b/data/egg-discrimination/code/environment.yml @@ -0,0 +1,131 @@ +name: fair-egg +channels: +- conda-forge +dependencies: +- _libgcc_mutex=0.1=conda_forge +- _openmp_mutex=4.5=2_kmp_llvm +- appdirs=1.4.4=pyh9f0ad1d_0 +- brotli-python=1.1.0=py312h30efb56_1 +- bzip2=1.0.8=hd590300_5 +- ca-certificates=2024.2.2=hbcca054_0 +- certifi=2024.2.2=pyhd8ed1ab_0 +- charset-normalizer=3.3.2=pyhd8ed1ab_0 +- click=8.1.7=unix_pyh707e725_0 +- cloudpickle=3.0.0=pyhd8ed1ab_0 +- colorama=0.4.6=pyhd8ed1ab_0 +- cuda-cudart=12.3.101=hd3aeb46_0 +- cuda-cudart_linux-64=12.3.101=h59595ed_0 +- cuda-nvrtc=12.3.107=hd3aeb46_0 +- cuda-nvtx=12.3.101=h59595ed_0 +- cuda-version=12.3=h32bc705_2 +- cudnn=8.8.0.121=h264754d_4 +- dataclasses=0.8=pyhc8e2a94_3 +- docker-pycreds=0.4.0=py_0 +- editdistance=0.6.2=py312h30efb56_2 +- exceptiongroup=1.2.0=pyhd8ed1ab_2 +- filelock=3.13.1=pyhd8ed1ab_0 +- freetype=2.12.1=h267a509_2 +- fsspec=2024.2.0=pyhca7485f_0 +- gitdb=4.0.11=pyhd8ed1ab_0 +- gitpython=3.1.42=pyhd8ed1ab_0 +- icu=73.2=h59595ed_0 +- idna=3.6=pyhd8ed1ab_0 +- iniconfig=2.0.0=pyhd8ed1ab_0 +- jinja2=3.1.3=pyhd8ed1ab_0 +- joblib=1.3.2=pyhd8ed1ab_0 +- lcms2=2.16=hb7c19ff_0 +- ld_impl_linux-64=2.40=h41732ed_0 +- lerc=4.0.0=h27087fc_0 +- libabseil=20230802.1=cxx17_h59595ed_0 +- libblas=3.9.0=21_linux64_openblas +- libcblas=3.9.0=21_linux64_openblas +- libcublas=12.3.4.1=hd3aeb46_0 +- libcufft=11.0.12.1=hd3aeb46_0 +- libcurand=10.3.4.107=hd3aeb46_0 +- libcusolver=11.5.4.101=hd3aeb46_0 +- libcusparse=12.2.0.103=hd3aeb46_0 +- libdeflate=1.19=hd590300_0 +- libexpat=2.5.0=hcb278e6_1 +- libffi=3.4.2=h7f98852_5 +- libgcc-ng=13.2.0=h807b86a_5 +- libgfortran-ng=13.2.0=h69a702a_5 +- libgfortran5=13.2.0=ha4646dd_5 +- libhwloc=2.9.3=default_h554bfaf_1009 +- libiconv=1.17=hd590300_2 +- libjpeg-turbo=3.0.0=hd590300_1 +- liblapack=3.9.0=21_linux64_openblas +- libmagma=2.7.2=h173bb3b_2 +- libmagma_sparse=2.7.2=h173bb3b_2 +- libnsl=2.0.1=hd590300_0 +- libnvjitlink=12.3.101=hd3aeb46_0 +- libopenblas=0.3.26=pthreads_h413a1c8_0 +- libpng=1.6.43=h2797004_0 +- libprotobuf=4.25.1=hf27288f_2 +- libsqlite=3.45.1=h2797004_0 +- libstdcxx-ng=13.2.0=h7e041cc_5 +- libtiff=4.6.0=ha9c0a0a_2 +- libtorch=2.1.2=cuda120_h2aa5df7_301 +- libuuid=2.38.1=h0b41bf4_0 +- libuv=1.47.0=hd590300_0 +- libwebp-base=1.3.2=hd590300_0 +- libxcb=1.15=h0b41bf4_0 +- libxcrypt=4.4.36=hd590300_1 +- libxml2=2.12.5=h232c23b_0 +- libzlib=1.2.13=hd590300_5 +- llvm-openmp=17.0.6=h4dfa4b3_0 +- magma=2.7.2=h51420fd_2 +- markdown-it-py=3.0.0=pyhd8ed1ab_0 +- markupsafe=2.1.5=py312h98912ed_0 +- mdurl=0.1.2=pyhd8ed1ab_0 +- mkl=2023.2.0=h84fe81f_50496 +- mpmath=1.3.0=pyhd8ed1ab_0 +- nccl=2.20.3.1=h3a97aeb_0 +- ncurses=6.4=h59595ed_2 +- networkx=3.2.1=pyhd8ed1ab_0 +- numpy=1.26.4=py312heda63a1_0 +- openjpeg=2.5.1=h488ebb8_0 +- openssl=3.2.1=hd590300_0 +- packaging=23.2=pyhd8ed1ab_0 +- pathtools=0.1.2=py_1 +- pillow=10.2.0=py312hf3581a9_0 +- pip=24.0=pyhd8ed1ab_0 +- pluggy=1.4.0=pyhd8ed1ab_0 +- protobuf=4.25.1=py312h9a107e5_0 +- psutil=5.9.8=py312h98912ed_0 +- pthread-stubs=0.4=h36c2ea0_1001 +- pygments=2.17.2=pyhd8ed1ab_0 +- pysocks=1.7.1=pyha2e5f31_6 +- pytest=8.0.2=pyhd8ed1ab_0 +- python=3.12.2=hab00c5b_0_cpython +- python_abi=3.12=4_cp312 +- pytorch=2.1.2=cuda120_py312h6e1fc47_301 +- pyyaml=6.0.1=py312h98912ed_1 +- readline=8.2=h8228510_1 +- requests=2.31.0=pyhd8ed1ab_0 +- rich=13.7.0=pyhd8ed1ab_0 +- scikit-learn=1.4.1.post1=py312h394d371_0 +- scipy=1.12.0=py312heda63a1_2 +- sentry-sdk=1.40.6=pyhd8ed1ab_0 +- setproctitle=1.3.3=py312h98912ed_0 +- setuptools=69.1.1=pyhd8ed1ab_0 +- six=1.16.0=pyh6c4a22f_0 +- sleef=3.5.1=h9b69904_2 +- smmap=5.0.0=pyhd8ed1ab_0 +- submitit=1.5.1=pyhd8ed1ab_0 +- sympy=1.12=pyh04b8f61_3 +- tbb=2021.11.0=h00ab1b0_1 +- threadpoolctl=3.3.0=pyhc1e730c_0 +- tk=8.6.13=noxft_h4845f30_101 +- tomli=2.0.1=pyhd8ed1ab_0 +- torchvision=0.16.1=cuda120py312h666f796_3 +- typing_extensions=4.10.0=pyha770c72_0 +- tzdata=2024a=h0c530f3_0 +- urllib3=2.2.1=pyhd8ed1ab_0 +- wandb=0.16.3=pyhd8ed1ab_0 +- wheel=0.42.0=pyhd8ed1ab_0 +- xorg-libxau=1.0.11=hd590300_0 +- xorg-libxdmcp=1.1.3=h7f98852_0 +- xz=5.2.6=h166bdaf_0 +- yaml=0.2.5=h7f98852_2 +- zstd=1.5.5=hfc55251_0 + diff --git a/data/egg-discrimination/code/repo b/data/egg-discrimination/code/repo new file mode 160000 index 0000000000000000000000000000000000000000..18d72d86cf9706e7ad82f94719b56accd288e59a --- /dev/null +++ b/data/egg-discrimination/code/repo @@ -0,0 +1 @@ +Subproject commit 18d72d86cf9706e7ad82f94719b56accd288e59a diff --git a/data/egg-discrimination/code/run.py b/data/egg-discrimination/code/run.py new file mode 100755 index 0000000000000000000000000000000000000000..6fb7a3a63ad38d13e7ff4ab00a49c15f6a9c3b99 --- /dev/null +++ b/data/egg-discrimination/code/run.py @@ -0,0 +1,199 @@ +#!/usr/bin/env python + +import numpy as np +import sys +from pathlib import Path +import subprocess +import os +import json +from typing import Literal +import logging + +logging.basicConfig(level=logging.INFO) + + +GameType = Literal["disc", "recon"] + +# fmt: off +disc_hparams_header = ( + ["n_attrs", "n_vals", "n_distractors", "n_examples", "vocab_size", "msg_len"] + ) +disc_variant_arr = [ + [ 4, 4, 3, 10000, 10, 10], + [ 6, 6, 3, 10000, 10, 10], + [ 6, 6, 9, 10000, 10, 10], + [ 8, 8, 3, 10000, 10, 10], +] +# fmt: on +disc_variants = [dict(zip(disc_hparams_header, row)) for row in disc_variant_arr] + +# fmt: off +recon_hparams_header = ( + ["n_attrs", "n_vals", "n_examples", "vocab_size", "msg_len"] + ) +recon_variant_arr = [ + [ 4, 4, 10000, 10, 10], + [ 6, 6, 10000, 10, 10], + [ 8, 8, 10000, 10, 10], +] +# fmt: on +recon_variants = [dict(zip(recon_hparams_header, row)) for row in recon_variant_arr] + + +def generate_data( + *, + game_type: GameType, + n_attrs: int, + n_vals: int, + n_distractors: int | None = None, + n_examples: int, + **kwargs, +) -> Path: + rng = np.random.default_rng(0) + + n_items = n_vals**n_attrs + out_dir = Path("input-data") + out_dir.mkdir(exist_ok=True, parents=True) + match game_type: + case "disc": + assert n_distractors is not None + fn = f"{n_attrs}-attr_{n_vals}-val_{n_distractors}-dist.txt" + case "recon": + fn = f"{n_attrs}-attr_{n_vals}-val.txt" + out_path = out_dir / fn + if out_path.exists(): + logging.info(f"{out_path} already exists; skipping data generation.") + else: + # TODO Optimize and refactor + with out_path.open("w") as fo: + match game_type: + case "disc": + assert n_distractors is not None + + def write_example() -> None: + raw = rng.choice(n_items, n_distractors + 1, replace=False) + label = rng.integers(n_distractors + 1) + sample = np.empty((n_distractors + 1, n_attrs), dtype=np.int64) + for j in range(n_attrs): + sample[:, j] = raw // (n_vals**j) % n_vals + fo.write( + " . ".join(" ".join(str(x) for x in row) for row in sample) + ) + fo.write(" . ") + fo.write(str(label)) + fo.write("\n") + + case "recon": + + def write_example() -> None: + raw = rng.choice(n_items) + sample = raw // (n_vals ** np.arange(n_attrs)) % n_vals + fo.write(" ".join(str(x) for x in sample)) + fo.write("\n") + + for i in range(n_examples): + write_example() + return out_path + + +def run_environment(game_type: GameType, cfg: dict, data_path: Path) -> Path: + out_dir = Path("output-data") + out_dir.mkdir(parents=True, exist_ok=True) + match game_type: + case "disc": + fn_parts = [ + cfg["n_attrs"] + "-attr", + cfg["n_vals"] + "-val", + cfg["n_distractors"] + "-dist", + cfg["vocab_size"] + "-vocab", + cfg["msg_len"] + "-len", + ] + case "recon": + fn_parts = [ + cfg["n_attrs"] + "-attr", + cfg["n_vals"] + "-val", + cfg["vocab_size"] + "-vocab", + cfg["msg_len"] + "-len", + ] + out_file = out_dir / ("_".join(fn_parts) + ".out") + if out_file.exists(): + logging.info(f"{out_file} already exists; skipping running environment.") + else: + # fmt: off + cmd = [ + "python", + "-m", "egg.zoo.basic_games.play", + "--mode", "gs", + "--game_type", "discri" if game_type == "disc" else "recon", + "--train_data", str(data_path), + "--validation_data", str(data_path), + "--n_attributes", cfg["n_attrs"], + "--n_values", cfg["n_vals"], + "--n_epochs", "100", + "--batch_size", "1024", + "--validation_batch_size", "1024", + "--max_len", cfg["msg_len"], + "--vocab_size", cfg["vocab_size"], + "--sender_hidden", "256", + "--receiver_hidden", "512", + "--sender_embedding", "32", + "--receiver_embedding", "32", + "--receiver_cell", "gru", + "--sender_cell", "gru", + "--lr", "0.001", + "--print_validation_events", + ] + # fmt: on + env = os.environ.copy() + python_path = env.get("PYTHONPATH", "") + ":repo" + env["PYTHONPATH"] = python_path.lstrip(":") + with out_file.open("w") as fo: + subprocess.run(cmd, stdout=fo, env=env) + return out_file + + +def process_output(raw_out_path: Path) -> None: + out_path = Path("../data") / raw_out_path.stem / "corpus.jsonl" + out_path.parent.mkdir(parents=True, exist_ok=True) + if out_path.exists(): + logging.info(f"{out_path} already exists; skipping output processing.") + else: + with raw_out_path.open() as fo: + while "MESSAGES\n" != (line := fo.readline()): + if line == "": + raise ValueError("Could not find MESSAGES block in output file.") + messages = fo.readline() + with out_path.open("w") as fo: + messages = json.loads(messages) + messages = np.argmax(messages, -1).tolist() + for m in messages: + fo.write(json.dumps(m, separators=(",", ":"))) + fo.write("\n") + + +def main() -> None: + cwd_parent = os.getcwd().split("/")[-2] + logging.info( + f'Using working directory parent "{cwd_parent}" to detect what config to run...' + ) + match cwd_parent: + case "egg-discrimination": + logging.info("Running discrimination...") + for cfg in disc_variants: + data_path = generate_data(game_type="disc", **cfg) + cfg_strs = {k: str(v) for k, v in cfg.items()} + out_path = run_environment("disc", cfg_strs, data_path) + process_output(out_path) + case "egg-reconstruction": + logging.info("Running reconstruction...") + for cfg in recon_variants: + data_path = generate_data(game_type="recon", **cfg) + cfg_strs = {k: str(v) for k, v in cfg.items()} + out_path = run_environment("recon", cfg_strs, data_path) + process_output(out_path) + case _: + logging.error("No match found.") + + +if __name__ == "__main__": + main() diff --git a/data/egg-discrimination/code/run.sh b/data/egg-discrimination/code/run.sh new file mode 100644 index 0000000000000000000000000000000000000000..c7d14823ff16392e42e731f415f6c419f154758a --- /dev/null +++ b/data/egg-discrimination/code/run.sh @@ -0,0 +1,3 @@ +#!/bin/sh + +python run.py diff --git a/data/egg-discrimination/data/4-attr_4-val_3-dist_10-vocab_10-len/corpus.json b/data/egg-discrimination/data/4-attr_4-val_3-dist_10-vocab_10-len/corpus.json new file mode 100644 index 0000000000000000000000000000000000000000..070a52b60879c9948f8ed46e13ad32d7dc130306 --- /dev/null +++ b/data/egg-discrimination/data/4-attr_4-val_3-dist_10-vocab_10-len/corpus.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7a14a0bc2fca250e153f15167510925136d76d131d5a6ec857c2bf143d4856db +size 240002 diff --git a/data/egg-discrimination/data/4-attr_4-val_3-dist_10-vocab_10-len/corpus.jsonl b/data/egg-discrimination/data/4-attr_4-val_3-dist_10-vocab_10-len/corpus.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f5e337aa6bc32146a9ee2a1babbb070026e7193b --- /dev/null +++ b/data/egg-discrimination/data/4-attr_4-val_3-dist_10-vocab_10-len/corpus.jsonl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:738c01890f8e2e9b47a8eb81ad458853ec303a9565f32e07992653914bc44fb2 +size 240000 diff --git a/data/egg-discrimination/data/4-attr_4-val_3-dist_10-vocab_10-len/metadata.json b/data/egg-discrimination/data/4-attr_4-val_3-dist_10-vocab_10-len/metadata.json new file mode 100644 index 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b/data/egg-discrimination/data/6-attr_6-val_3-dist_10-vocab_10-len/corpus.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7297dc7f76f277f96e0be25e67085ec460fc56ef05ddcb019bdbea8d58b900d4 +size 240002 diff --git a/data/egg-discrimination/data/6-attr_6-val_3-dist_10-vocab_10-len/corpus.jsonl b/data/egg-discrimination/data/6-attr_6-val_3-dist_10-vocab_10-len/corpus.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1afb911fa49914850a47c04f06817770092eea05 --- /dev/null +++ b/data/egg-discrimination/data/6-attr_6-val_3-dist_10-vocab_10-len/corpus.jsonl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3d17ff453ab557b08f99c2fe8f50ae4e3086d8f2ce7144c03f7279cffb34278d +size 240000 diff --git a/data/egg-discrimination/data/6-attr_6-val_3-dist_10-vocab_10-len/metadata.json b/data/egg-discrimination/data/6-attr_6-val_3-dist_10-vocab_10-len/metadata.json new file mode 100644 index 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0000000000000000000000000000000000000000..4b2d37d0b53ef05f6ac2602fcedd46bf148f22bb --- /dev/null +++ b/data/egg-discrimination/data/6-attr_6-val_9-dist_10-vocab_10-len/metadata.json @@ -0,0 +1,19 @@ +{ + "metrics": { + "analysis": { + "Token Count": 110000, + "Line Count": 10000, + "Tokens per Line": 11.0, + "Tokens per Line SD": 0.0, + "Unique Tokens": 10, + "Unique Lines": 3025, + "1-gram Entropy": 2.780520592216112, + "1-gram Normalized Entropy": 0.8370201018184266, + "2-gram Entropy": 4.176347819641748, + "2-gram Conditional Entropy": 1.3958272274256363, + "Entropy per Line": 30.585726514377225, + "EoS Token Present": true, + "EoS Padding": true + } + } +} \ No newline at end of file diff --git a/data/egg-discrimination/data/8-attr_8-val_3-dist_10-vocab_10-len/corpus.json b/data/egg-discrimination/data/8-attr_8-val_3-dist_10-vocab_10-len/corpus.json new file mode 100644 index 0000000000000000000000000000000000000000..691867b166392d0c9a986c9f3e0f859d7de5f164 --- /dev/null +++ b/data/egg-discrimination/data/8-attr_8-val_3-dist_10-vocab_10-len/corpus.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:97f3e0783d689cfa37ab0b23aad2fb1335982cdb1e73b0a5aa45acae9c775227 +size 240002 diff --git a/data/egg-discrimination/data/8-attr_8-val_3-dist_10-vocab_10-len/corpus.jsonl b/data/egg-discrimination/data/8-attr_8-val_3-dist_10-vocab_10-len/corpus.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0b53eac7e2583e05fed6a8093211f1ca8da3608c --- /dev/null +++ b/data/egg-discrimination/data/8-attr_8-val_3-dist_10-vocab_10-len/corpus.jsonl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:63c120309397795dcdfcecea7b1645f7b5a4104f34d7eaa865a56de55f6f9dd2 +size 240000 diff --git a/data/egg-discrimination/data/8-attr_8-val_3-dist_10-vocab_10-len/metadata.json b/data/egg-discrimination/data/8-attr_8-val_3-dist_10-vocab_10-len/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..32f33978e17af8295b26ccad831ff21b16155512 --- /dev/null +++ b/data/egg-discrimination/data/8-attr_8-val_3-dist_10-vocab_10-len/metadata.json @@ -0,0 +1,19 @@ +{ + "metrics": { + "analysis": { + "Token Count": 110000, + "Line Count": 10000, + "Tokens per Line": 11.0, + "Tokens per Line SD": 0.0, + "Unique Tokens": 9, + "Unique Lines": 5140, + "1-gram Entropy": 2.9406495560397303, + "1-gram Normalized Entropy": 0.9276716498660814, + "2-gram Entropy": 4.471042369725476, + "2-gram Conditional Entropy": 1.5303928136857454, + "Entropy per Line": 32.34714511643705, + "EoS Token Present": true, + "EoS Padding": true + } + } +} \ No newline at end of file diff --git a/data/egg-discrimination/metadata.yml b/data/egg-discrimination/metadata.yml new file mode 100644 index 0000000000000000000000000000000000000000..212f0e1aaba63f1f7f4a4c38c80b03d8b57dd1ae --- /dev/null +++ b/data/egg-discrimination/metadata.yml @@ -0,0 +1,30 @@ +origin: + source: https://github.com/facebookresearch/EGG +system: + game_type: signalling + game_subtype: discrimination + observation_type: vector + observation_continuous: false + multi_step: false + data_source: synthetic + seeding_available: true + symmetric_agents: false + multi_utterance: false + more_than_2_agents: false + variants: + 4-attr_4-val_3-dist_10-vocab_10-len: + n_attributes: 4 + n_values: 4 + n_distractors: 3 + 6-attr_6-val_3-dist_10-vocab_10-len: + n_attributes: 6 + n_values: 6 + n_distractors: 3 + 6-attr_6-val_9-dist_10-vocab_10-len: + n_attributes: 6 + n_values: 6 + n_distractors: 9 + 8-attr_8-val_3-dist_10-vocab_10-len: + n_attributes: 8 + n_values: 8 + n_distractors: 3 diff --git a/data/egg-reconstruction/code/README.md b/data/egg-reconstruction/code/README.md new file mode 100644 index 0000000000000000000000000000000000000000..b88a5cba16661b84626148763fcca32c30e6d730 --- /dev/null +++ b/data/egg-reconstruction/code/README.md @@ -0,0 +1,4 @@ +The files in this directory are symlinked to the egg-discrimination entry +because the code necessary run the environment is substantially similar. +Nevertheless, the environments are different which merit separate collection +entries for typology purposes. diff --git a/data/egg-reconstruction/code/environment.editable.yml b/data/egg-reconstruction/code/environment.editable.yml new file mode 120000 index 0000000000000000000000000000000000000000..7bcc456ae998293699a5265b503489e38d3db024 --- /dev/null +++ b/data/egg-reconstruction/code/environment.editable.yml @@ -0,0 +1 @@ +../../egg-discrimination/code/environment.editable.yml \ No newline at end of file diff --git a/data/egg-reconstruction/code/environment.yml b/data/egg-reconstruction/code/environment.yml new file mode 120000 index 0000000000000000000000000000000000000000..4fcde09ce7678ef66590cb000146ead81366597b --- /dev/null +++ b/data/egg-reconstruction/code/environment.yml @@ -0,0 +1 @@ +../../egg-discrimination/code/environment.yml \ No newline at end of file diff --git a/data/egg-reconstruction/code/repo b/data/egg-reconstruction/code/repo new file mode 120000 index 0000000000000000000000000000000000000000..575b83ebd77234c4920b456e7b8ff7bec792a9f1 --- /dev/null +++ b/data/egg-reconstruction/code/repo @@ -0,0 +1 @@ +../../egg-discrimination/code/repo \ No newline at end of file diff --git a/data/egg-reconstruction/code/run.py b/data/egg-reconstruction/code/run.py new file mode 120000 index 0000000000000000000000000000000000000000..7b06b8491633c85d95d39994a3bb2b48446e9003 --- /dev/null +++ b/data/egg-reconstruction/code/run.py @@ -0,0 +1 @@ +../../egg-discrimination/code/run.py \ No newline at end of file diff --git a/data/egg-reconstruction/code/run.sh b/data/egg-reconstruction/code/run.sh new file mode 120000 index 0000000000000000000000000000000000000000..93936a03ff91d2ce16b4f93dc7d20bc98b39dded --- /dev/null +++ b/data/egg-reconstruction/code/run.sh @@ -0,0 +1 @@ +../../egg-discrimination/code/run.sh \ No newline at end of file diff --git a/data/egg-reconstruction/data/4-attr_4-val_10-vocab_10-len/corpus.json b/data/egg-reconstruction/data/4-attr_4-val_10-vocab_10-len/corpus.json new file mode 100644 index 0000000000000000000000000000000000000000..97ed4b69727074557cb4be5891f0ec5c1f66007e --- /dev/null +++ b/data/egg-reconstruction/data/4-attr_4-val_10-vocab_10-len/corpus.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bd431624db4490932138c50c48341d7b1df00958f08465770b0feb4ac75297b7 +size 240002 diff --git a/data/egg-reconstruction/data/4-attr_4-val_10-vocab_10-len/corpus.jsonl b/data/egg-reconstruction/data/4-attr_4-val_10-vocab_10-len/corpus.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..71399e2fa724bce3c504bd4b98c1f4496b14d6bd --- /dev/null +++ b/data/egg-reconstruction/data/4-attr_4-val_10-vocab_10-len/corpus.jsonl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ecba1a17bfe4c25fcc8d69177edad7f1d8f27ccbb53b8f706011161dc0699d7c +size 240000 diff --git a/data/egg-reconstruction/data/4-attr_4-val_10-vocab_10-len/metadata.json b/data/egg-reconstruction/data/4-attr_4-val_10-vocab_10-len/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7900478826bceafd189369f2e7119323c9bfd050 --- /dev/null +++ b/data/egg-reconstruction/data/4-attr_4-val_10-vocab_10-len/metadata.json @@ -0,0 +1,19 @@ +{ + "metrics": { + "analysis": { + "Token Count": 110000, + "Line Count": 10000, + "Tokens per Line": 11.0, + "Tokens per Line SD": 0.0, + "Unique Tokens": 7, + "Unique Lines": 228, + "1-gram Entropy": 2.2963285243221985, + "1-gram Normalized Entropy": 0.8179687243247258, + "2-gram Entropy": 3.2121152045737635, + "2-gram Conditional Entropy": 0.9157866802515651, + "Entropy per Line": 25.259613767544227, + "EoS Token Present": true, + "EoS Padding": true + } + } +} \ No newline at end of file diff --git a/data/egg-reconstruction/data/6-attr_6-val_10-vocab_10-len/corpus.json b/data/egg-reconstruction/data/6-attr_6-val_10-vocab_10-len/corpus.json new file mode 100644 index 0000000000000000000000000000000000000000..44328e3a46b7980d1471333fc0823d8e63891dfd --- /dev/null +++ b/data/egg-reconstruction/data/6-attr_6-val_10-vocab_10-len/corpus.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9f2b73e97294408b23d1856b3c4421064192a694f9ed42272cc1a5a696515f08 +size 240002 diff --git a/data/egg-reconstruction/data/6-attr_6-val_10-vocab_10-len/corpus.jsonl b/data/egg-reconstruction/data/6-attr_6-val_10-vocab_10-len/corpus.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0074f2130977a01cd70d6d22f5fe3b485cab3319 --- /dev/null +++ b/data/egg-reconstruction/data/6-attr_6-val_10-vocab_10-len/corpus.jsonl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d50259c22a1a1b50172057d5a8c088c5590acbba8082b38d5f1b5fc210e2c2bd +size 240000 diff --git a/data/egg-reconstruction/data/6-attr_6-val_10-vocab_10-len/metadata.json b/data/egg-reconstruction/data/6-attr_6-val_10-vocab_10-len/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..21b89dd5cf1ffb50f8b288d3b1824158fbd12dfb --- /dev/null +++ b/data/egg-reconstruction/data/6-attr_6-val_10-vocab_10-len/metadata.json @@ -0,0 +1,19 @@ +{ + "metrics": { + "analysis": { + "Token Count": 110000, + "Line Count": 10000, + "Tokens per Line": 11.0, + "Tokens per Line SD": 0.0, + "Unique Tokens": 8, + "Unique Lines": 1373, + "1-gram Entropy": 2.5732431163576788, + "1-gram Normalized Entropy": 0.8577477054525596, + "2-gram Entropy": 3.7502942276789883, + "2-gram Conditional Entropy": 1.1770511113213096, + "Entropy per Line": 28.305674279934504, + "EoS Token Present": true, + "EoS Padding": true + } + } +} \ No newline at end of file diff --git a/data/egg-reconstruction/data/8-attr_8-val_10-vocab_10-len/corpus.json b/data/egg-reconstruction/data/8-attr_8-val_10-vocab_10-len/corpus.json new file mode 100644 index 0000000000000000000000000000000000000000..614817a554fc9b26d9fdfc6360a0b1f264a53a31 --- /dev/null +++ b/data/egg-reconstruction/data/8-attr_8-val_10-vocab_10-len/corpus.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8e52b3e700ad2d2a662daa5c6e37961ec1db23f30866e2966a99191f347fe80e +size 240002 diff --git a/data/egg-reconstruction/data/8-attr_8-val_10-vocab_10-len/corpus.jsonl b/data/egg-reconstruction/data/8-attr_8-val_10-vocab_10-len/corpus.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fd2ff9f26986f7f02130eff83f44407fc38a0c87 --- /dev/null +++ b/data/egg-reconstruction/data/8-attr_8-val_10-vocab_10-len/corpus.jsonl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c9f26424bec872bddb14f8e892115673e8a1f352f813d45b53a90cfc84bb8313 +size 240000 diff --git a/data/egg-reconstruction/data/8-attr_8-val_10-vocab_10-len/metadata.json b/data/egg-reconstruction/data/8-attr_8-val_10-vocab_10-len/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..aeb262686ebce5333df8c490e1a7bf5ae0bf39a3 --- /dev/null +++ b/data/egg-reconstruction/data/8-attr_8-val_10-vocab_10-len/metadata.json @@ -0,0 +1,19 @@ +{ + "metrics": { + "analysis": { + "Token Count": 110000, + "Line Count": 10000, + "Tokens per Line": 11.0, + "Tokens per Line SD": 0.0, + "Unique Tokens": 8, + "Unique Lines": 1464, + "1-gram Entropy": 2.2957674031245623, + "1-gram Normalized Entropy": 0.7652558010415208, + "2-gram Entropy": 3.5150112409201135, + "2-gram Conditional Entropy": 1.2192438377955512, + "Entropy per Line": 25.253441434370213, + "EoS Token Present": false, + "EoS Padding": false + } + } +} \ No newline at end of file diff --git a/data/egg-reconstruction/metadata.yml b/data/egg-reconstruction/metadata.yml new file mode 100644 index 0000000000000000000000000000000000000000..e8e0b441d23ff70b9d2fdf7600f41a6282ecfeff --- /dev/null +++ b/data/egg-reconstruction/metadata.yml @@ -0,0 +1,24 @@ +origin: + source: https://github.com/facebookresearch/EGG +system: + game_type: signalling + game_subtype: reconstruction + observation_type: vector + observation_continuous: false + multi_step: false + data_source: synthetic + seeding_available: true + multi_step: false + multi_utterance: false + symmetric_agents: false + more_than_2_agents: false + variants: + 4-attr_4-val_10-vocab_10-len: + n_attributes: 4 + n_values: 4 + 6-attr_6-val_10-vocab_10-len: + n_attributes: 6 + n_values: 6 + 8-attr_8-val_10-vocab_10-len: + n_attributes: 8 + n_values: 8 diff --git a/data/generalizations-mu-goodman/code/environment.editable.yml b/data/generalizations-mu-goodman/code/environment.editable.yml new file mode 100644 index 0000000000000000000000000000000000000000..cdda9377d1ae24a110ae3f018cb4a0d3f4bf11a5 --- /dev/null +++ b/data/generalizations-mu-goodman/code/environment.editable.yml @@ -0,0 +1,23 @@ +name: generalizations-mu +channels: + - conda-forge + - nodefaults +dependencies: + - tqdm + - numpy==1.20 # Originally 1.19.1 + - torchvision==0.9.1 + - ujson==4.0.2 + - Jinja2==2.11.2 + - scipy # Originally 1.5.2 + - pandas==1.1.0 + - transformers==4.4.2 + - nltk==3.6.2 + - h5py==2.10.0 + - numba==0.52.0 + - editdistance==0.5.3 + - pytorch==1.8.0 # Originally 1.8.0 + - Pillow==8.2.0 + - scikit-learn==0.24.2 + - markupsafe + - pip: + - hausdorff==0.2.5 diff --git a/data/generalizations-mu-goodman/code/environment.yml b/data/generalizations-mu-goodman/code/environment.yml new file mode 100644 index 0000000000000000000000000000000000000000..297c7008ea27b08bd98a124683385fd8041cb8d2 --- /dev/null +++ b/data/generalizations-mu-goodman/code/environment.yml @@ -0,0 +1,105 @@ +name: generalizations-mu +channels: +- conda-forge +dependencies: +- _libgcc_mutex=0.1=conda_forge +- _openmp_mutex=4.5=2_kmp_llvm +- brotli-python=1.1.0=py38h17151c0_1 +- bzip2=1.0.8=hd590300_5 +- c-ares=1.27.0=hd590300_0 +- ca-certificates=2024.2.2=hbcca054_0 +- certifi=2024.2.2=pyhd8ed1ab_0 +- cffi=1.16.0=py38h6d47a40_0 +- charset-normalizer=3.3.2=pyhd8ed1ab_0 +- click=8.1.7=unix_pyh707e725_0 +- colorama=0.4.6=pyhd8ed1ab_0 +- cuda-version=11.8=h70ddcb2_2 +- cudatoolkit=11.8.0=h4ba93d1_13 +- cudnn=8.8.0.121=hcdd5f01_4 +- dataclasses=0.8=pyhc8e2a94_3 +- editdistance=0.5.3=py38h709712a_3 +- filelock=3.13.1=pyhd8ed1ab_0 +- freetype=2.12.1=h267a509_2 +- future=1.0.0=pyhd8ed1ab_0 +- h5py=2.10.0=nompi_py38h9915d05_106 +- hdf5=1.10.6=nompi_h6a2412b_1114 +- idna=3.6=pyhd8ed1ab_0 +- jinja2=2.11.2=pyh9f0ad1d_0 +- joblib=1.3.2=pyhd8ed1ab_0 +- jpeg=9e=h0b41bf4_3 +- keyutils=1.6.1=h166bdaf_0 +- krb5=1.20.1=hf9c8cef_0 +- lcms2=2.12=hddcbb42_0 +- ld_impl_linux-64=2.40=h41732ed_0 +- lerc=3.0=h9c3ff4c_0 +- libblas=3.9.0=8_mkl +- libcblas=3.9.0=8_mkl +- libcurl=7.87.0=h6312ad2_0 +- libdeflate=1.10=h7f98852_0 +- libedit=3.1.20191231=he28a2e2_2 +- libev=4.33=hd590300_2 +- libffi=3.4.2=h7f98852_5 +- libgcc-ng=13.2.0=h807b86a_5 +- libgfortran-ng=13.2.0=h69a702a_5 +- libgfortran5=13.2.0=ha4646dd_5 +- liblapack=3.9.0=8_mkl +- libllvm10=10.0.1=he513fc3_3 +- libnghttp2=1.51.0=hdcd2b5c_0 +- libnsl=2.0.1=hd590300_0 +- libpng=1.6.43=h2797004_0 +- libprotobuf=3.15.8=h780b84a_1 +- libsqlite=3.45.1=h2797004_0 +- libssh2=1.10.0=haa6b8db_3 +- libstdcxx-ng=13.2.0=h7e041cc_5 +- libtiff=4.3.0=h0fcbabc_4 +- libuuid=2.38.1=h0b41bf4_0 +- libwebp-base=1.3.2=hd590300_0 +- libzlib=1.2.13=hd590300_5 +- llvm-openmp=17.0.6=h4dfa4b3_0 +- llvmlite=0.35.0=py38h4630a5e_1 +- magma=2.5.4=hc72dce7_4 +- markupsafe=1.1.1=py38h0a891b7_4 +- mkl=2020.4=h726a3e6_304 +- nccl=2.20.3.1=h6103f9b_0 +- ncurses=6.4=h59595ed_2 +- ninja=1.11.1=h924138e_0 +- nltk=3.6.2=pyhd8ed1ab_0 +- numba=0.52.0=py38h51da96c_0 +- numpy=1.20.0=py38h18fd61f_0 +- olefile=0.47=pyhd8ed1ab_0 +- openjpeg=2.5.0=h7d73246_0 +- openssl=1.1.1w=hd590300_0 +- packaging=23.2=pyhd8ed1ab_0 +- pandas=1.1.0=py38h950e882_0 +- pillow=8.2.0=py38ha0e1e83_1 +- pip=24.0=pyhd8ed1ab_0 +- pycparser=2.21=pyhd8ed1ab_0 +- pysocks=1.7.1=pyha2e5f31_6 +- python=3.8.15=h257c98d_0_cpython +- python-dateutil=2.9.0=pyhd8ed1ab_0 +- python_abi=3.8=4_cp38 +- pytorch=1.8.0=cuda112py38h3bc52bc_1 +- pytz=2024.1=pyhd8ed1ab_0 +- readline=8.2=h8228510_1 +- regex=2023.12.25=py38h01eb140_0 +- requests=2.31.0=pyhd8ed1ab_0 +- sacremoses=0.0.53=pyhd8ed1ab_0 +- scikit-learn=0.24.2=py38hacb3eff_1 +- scipy=1.9.1=py38hea3f02b_0 +- setuptools=59.8.0=py38h578d9bd_1 +- six=1.16.0=pyh6c4a22f_0 +- sleef=3.5.1=h9b69904_2 +- threadpoolctl=3.3.0=pyhc1e730c_0 +- tk=8.6.13=noxft_h4845f30_101 +- tokenizers=0.10.3=py38hb63a372_1 +- torchvision=0.9.1=py38cuda112h4067301_1_cuda +- tqdm=4.66.2=pyhd8ed1ab_0 +- transformers=4.4.2=pyhd8ed1ab_0 +- typing_extensions=4.10.0=pyha770c72_0 +- ujson=4.0.2=py38h709712a_0 +- urllib3=2.2.1=pyhd8ed1ab_0 +- wheel=0.42.0=pyhd8ed1ab_0 +- xz=5.2.6=h166bdaf_0 +- zlib=1.2.13=hd590300_5 +- zstd=1.5.5=hfc55251_0 + diff --git a/data/generalizations-mu-goodman/code/repo b/data/generalizations-mu-goodman/code/repo new file mode 160000 index 0000000000000000000000000000000000000000..97ad2c74dcc76be92f296db29624beece9c8706a --- /dev/null +++ b/data/generalizations-mu-goodman/code/repo @@ -0,0 +1 @@ +Subproject commit 97ad2c74dcc76be92f296db29624beece9c8706a diff --git a/data/generalizations-mu-goodman/code/run.sh b/data/generalizations-mu-goodman/code/run.sh new file mode 100755 index 0000000000000000000000000000000000000000..543d5f0e4ca0e42f1ca9c5bbad53a299dad90b7f --- /dev/null +++ b/data/generalizations-mu-goodman/code/run.sh @@ -0,0 +1,53 @@ +#!/usr/bin/env bash + +if [ ${BASH_VERSINFO[0]} -le 4 ]; then + echo 'This script requires bash version >=4 to run.' + exit 1 +fi +set -e +cd repo + +function process_output { + mkdir -p $(dirname $2) + cat $1 |\ + grep 'train$' |\ + awk -F, '{print "["$1"]"}' |\ + tr ' ' , \ + >$2 +} + +declare -A game_names +game_names[ref]=reference +game_names[setref]=set_reference +game_names[concept]=concept + +# Shapeworld +(cd data/ && download_shapeworld.sh) +# "run0" is just any name to keep track of the experiment +exp_name=run0 +./run_sw.sh run0 + +for game in ref setref concept; do + out_fn=../../data/shapeworld-${game_names[$game]}/corpus.jsonl + in_fn=exp/sw_${game}_20_ex_$exp_name/sampled_lang.csv + process_output $in_fn $out_fn +done + + +# CUB (birds) +mkdir -p data/cub +cd data/ + cd cub/ + wget -O CUB_200_2011.tgz https://data.caltech.edu/records/65de6-vp158/files/CUB_200_2011.tgz?download=1 + tar xf CUB_200_2011.tgz + cd .. + python save_cub_np.py +cd .. +exp_name=run1 +./run_cub.sh $exp_name + +for game in ref setref concept; do + out_fn=../../data/cub-${game_names[$game]}/corpus.jsonl + in_fn=exp/cub_${game}_10_ex_$exp_name/sampled_lang.csv + process_output $in_fn $out_fn +done diff --git a/data/generalizations-mu-goodman/data/cub-concept/corpus.json 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Lines": 28061, + "1-gram Entropy": 3.365556108384358, + "1-gram Normalized Entropy": 0.8233851264455404, + "2-gram Entropy": 6.40930524564982, + "2-gram Conditional Entropy": 3.043749137265462, + "Entropy per Line": 23.55889275869051, + "EoS Token Present": true, + "EoS Padding": false + } + } +} \ No newline at end of file diff --git a/data/generalizations-mu-goodman/metadata.yml b/data/generalizations-mu-goodman/metadata.yml new file mode 100644 index 0000000000000000000000000000000000000000..bedda54ea8a99e1498baacd9e6bbb4748a66ff99 --- /dev/null +++ b/data/generalizations-mu-goodman/metadata.yml @@ -0,0 +1,30 @@ +origin: + source: https://github.com/brendon-boldt/emergent-generalization + upstream_source: https://github.com/jayelm/emergent-generalization + paper: https://openreview.net/forum?id=yq5MYHVaClG +system: + game_type: signalling + game_subtype: discrimination + observation_type: image + observation_continuous: true + multi_step: false + seeding_available: false + data_source: synthetic + multi_utterance: false + more_than_2_agents: false + symmetric_agents: false + variants: + shapeworld-reference: {} + shapeworld-set_reference: {} + shapeworld-concept: {} + cub-reference: + data_source: natural + cub-set_reference: + data_source: natural + cub-concept: + data_source: natural +notes: > + The sampled output from this environment has both "train" (seen) and "test" + (unseen) values. For now, we are just using the previously seen examples as + we expect them to have better performance. The unseen examples could be + included in the future (as separate corpora). diff --git a/data/rlupus/code/.gitignore b/data/rlupus/code/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..0e44fece18a504d99bf97b92ab46a586a169bc8c --- /dev/null +++ b/data/rlupus/code/.gitignore @@ -0,0 +1 @@ +/save/ diff --git a/data/rlupus/code/environment.editable.yml b/data/rlupus/code/environment.editable.yml new file mode 100644 index 0000000000000000000000000000000000000000..6c24110415c19cefaf512536bbc4b059902e01ef --- /dev/null +++ b/data/rlupus/code/environment.editable.yml @@ -0,0 +1,82 @@ +name: rlupus +channels: + - conda-forge + - pytorch + - anaconda + - defaults +dependencies: + - python==3.7.* + - absl-py==0.9.0 + - aiohttp==3.6.2 + - astunparse==1.6.3 + - async-timeout==3.0.1 + - attrs==19.3.0 + - beautifulsoup4==4.9.0 + - cachetools==4.1.0 + - certifi==2020.4.5.1 + - chardet==3.0.4 + - click==7.1.2 + - cloudpickle==1.3.0 + - colorama==0.4.3 + - dm-tree==0.1.5 + - filelock==3.0.12 + - future==0.18.2 + - gast==0.3.3 + - google-auth==1.14.2 + - google-auth-oauthlib==0.4.1 + - google-pasta==0.2.0 + - gym==0.17.2 + - h5py==2.10.0 + - idna==2.9 + - importlib-metadata==1.6.0 + - jsonschema==3.2.0 + - Keras==2.3.1 + - Keras-Applications==1.0.8 + - Keras-Preprocessing==1.1.0 + - lz4==3.0.2 + - Markdown==3.2.2 + - multidict==4.7.5 + - numpy==1.18.4 + - oauthlib==3.1.0 + - pandas==1.0.3 + - Pillow==7.1.2 + - protobuf==3.11.3 + - py-spy==0.3.3 + - pyasn1==0.4.8 + - pyasn1-modules==0.2.8 + - pyglet==1.5.0 + - pyrsistent==0.16.0 + - python-dateutil==2.8.1 + - pytz==2020.1 + - PyYAML==5.3.1 + - requests==2.23.0 + - requests-oauthlib==1.3.0 + - rsa==4.0 + - scipy==1.4.1 + - six==1.14.0 + - soupsieve==2.0 + - tabulate==0.8.7 + - tensorboard==2.2.1 + - tensorboardX==2.0 + - tensorflow==2.2.0 + - tensorflow-estimator==2.2.0 + - tensorflow-gpu==2.2.0 + - termcolor==1.1.0 + - tqdm==4.46.0 + - urllib3==1.25.9 + - Werkzeug==1.0.1 + - wrapt==1.12.1 + - yarl==1.4.2 + - zipp==3.1.0 + - pip: + - ray[tune,debug,rllib]==0.8.5 + - google==2.0.3 + - gputils==1.0.6 + - grpcio==1.28.1 + - msgpack==0.6.2 + - opencv-python==4.2.0.34 + - opt-einsum==3.2.1 + - redis==3.4.1 + - tensorboard-plugin-wit==1.6.0.post3 + - torch==1.5.0 + - torchvision==0.6.0 diff --git a/data/rlupus/code/environment.yml b/data/rlupus/code/environment.yml new file mode 100644 index 0000000000000000000000000000000000000000..df3cbd46139b1650baac1b3541aa8fbef5bcfd8c --- /dev/null +++ b/data/rlupus/code/environment.yml @@ -0,0 +1,217 @@ +name: rlupus +channels: +- anaconda +- conda-forge +dependencies: +- _libgcc_mutex=0.1=conda_forge +- _openmp_mutex=4.5=2_gnu +- _tflow_select=2.1.0=gpu +- absl-py=0.9.0=py37hc8dfbb8_1 +- aiohttp=3.6.2=py37h8f50634_1 +- aom=3.7.1=h59595ed_0 +- astor=0.8.1=pyh9f0ad1d_0 +- astunparse=1.6.3=pyhd8ed1ab_0 +- async-timeout=3.0.1=py_1000 +- attrs=19.3.0=py_0 +- beautifulsoup4=4.9.0=py37hc8dfbb8_0 +- blinker=1.6.3=pyhd8ed1ab_0 +- brotlipy=0.7.0=py37h540881e_1004 +- bzip2=1.0.8=hd590300_5 +- c-ares=1.28.1=hd590300_0 +- ca-certificates=2024.2.2=hbcca054_0 +- cachetools=4.1.0=py_1 +- cairo=1.18.0=h3faef2a_0 +- certifi=2020.4.5.1=py37hc8dfbb8_0 +- cffi=1.15.1=py37h43b0acd_1 +- chardet=3.0.4=py37he5f6b98_1008 +- click=7.1.2=pyh9f0ad1d_0 +- cloudpickle=1.3.0=py_0 +- colorama=0.4.3=py_0 +- cryptography=38.0.2=py37h5994e8b_1 +- cudatoolkit=10.1.243=h6d9799a_13 +- cudnn=7.6.5.32=hc0a50b0_1 +- cupti=10.1.168=0 +- dav1d=1.2.1=hd590300_0 +- dm-tree=0.1.5=py37he8f5f7f_3 +- expat=2.6.2=h59595ed_0 +- ffmpeg=6.1.1=gpl_hf3b701a_101 +- filelock=3.0.12=pyh9f0ad1d_0 +- font-ttf-dejavu-sans-mono=2.37=hab24e00_0 +- font-ttf-inconsolata=3.000=h77eed37_0 +- font-ttf-source-code-pro=2.038=h77eed37_0 +- font-ttf-ubuntu=0.83=h77eed37_1 +- fontconfig=2.14.2=h14ed4e7_0 +- fonts-conda-ecosystem=1=0 +- fonts-conda-forge=1=0 +- freetype=2.12.1=h267a509_2 +- fribidi=1.0.10=h36c2ea0_0 +- future=0.18.2=py37h89c1867_5 +- gast=0.3.3=py_0 +- gcc_linux-64=7.2.0=24 +- gettext=0.22.5=h59595ed_2 +- gettext-tools=0.22.5=h59595ed_2 +- gmp=6.3.0=h59595ed_1 +- gnutls=3.7.9=hb077bed_0 +- google-auth=1.14.2=pyh9f0ad1d_0 +- google-auth-oauthlib=0.4.1=py_2 +- google-pasta=0.2.0=pyh8c360ce_0 +- graphite2=1.3.13=h59595ed_1003 +- grpcio=1.46.3=py37h0327239_0 +- gxx_linux-64=7.2.0=24 +- gym=0.17.2=py37hc8dfbb8_1 +- h5py=2.10.0=nompi_py37ha3df211_106 +- harfbuzz=8.3.0=h3d44ed6_0 +- hdf5=1.10.6=nompi_h3c11f04_101 +- icu=73.2=h59595ed_0 +- idna=2.9=py_1 +- importlib-metadata=1.6.0=py37hc8dfbb8_0 +- jpeg=9e=h0b41bf4_3 +- jsonschema=3.2.0=pyhd8ed1ab_3 +- keras=2.3.1=py37_0 +- keras-applications=1.0.8=py_1 +- keras-preprocessing=1.1.0=pyhd8ed1ab_0 +- lame=3.100=h166bdaf_1003 +- ld_impl_linux-64=2.40=h41732ed_0 +- lerc=3.0=h9c3ff4c_0 +- libasprintf=0.22.5=h661eb56_2 +- libasprintf-devel=0.22.5=h661eb56_2 +- libass=0.17.1=h8fe9dca_1 +- libblas=3.9.0=13_linux64_openblas +- libcblas=3.9.0=13_linux64_openblas +- libdeflate=1.10=h7f98852_0 +- libdrm=2.4.120=hd590300_0 +- libexpat=2.6.2=h59595ed_0 +- libffi=3.4.2=h7f98852_5 +- libgcc-ng=13.2.0=h807b86a_5 +- libgettextpo=0.22.5=h59595ed_2 +- libgettextpo-devel=0.22.5=h59595ed_2 +- libgfortran-ng=7.5.0=h14aa051_20 +- libgfortran4=7.5.0=h14aa051_20 +- libglib=2.80.0=hf2295e7_5 +- libgomp=13.2.0=h807b86a_5 +- libgpuarray=0.7.6=h7f98852_1003 +- libhwloc=2.10.0=default_h2fb2949_1000 +- libiconv=1.17=hd590300_2 +- libidn2=2.3.7=hd590300_0 +- liblapack=3.9.0=13_linux64_openblas +- libnsl=2.0.1=hd590300_0 +- libopenblas=0.3.18=hf726d26_0 +- libopenvino=2023.2.0=h2e90f83_1 +- libopenvino-auto-batch-plugin=2023.2.0=h59595ed_1 +- libopenvino-auto-plugin=2023.2.0=hd5fc58b_1 +- libopenvino-hetero-plugin=2023.2.0=h3ecfda7_1 +- libopenvino-intel-cpu-plugin=2023.2.0=h2e90f83_1 +- libopenvino-intel-gpu-plugin=2023.2.0=h2e90f83_1 +- libopenvino-ir-frontend=2023.2.0=h3ecfda7_1 +- libopenvino-onnx-frontend=2023.2.0=h59595ed_1 +- libopenvino-paddle-frontend=2023.2.0=h59595ed_1 +- libopenvino-pytorch-frontend=2023.2.0=h59595ed_1 +- libopenvino-tensorflow-frontend=2023.2.0=hfe87413_1 +- libopenvino-tensorflow-lite-frontend=2023.2.0=h59595ed_1 +- libopus=1.3.1=h7f98852_1 +- libpciaccess=0.18=hd590300_0 +- libpng=1.6.43=h2797004_0 +- libprotobuf=3.11.3=h8b12597_0 +- libsqlite=3.45.3=h2797004_0 +- libstdcxx-ng=13.2.0=h7e041cc_5 +- libtasn1=4.19.0=h166bdaf_0 +- libtiff=4.3.0=h0fcbabc_4 +- libunistring=0.9.10=h7f98852_0 +- libunwind=1.5.0=h9c3ff4c_1 +- libuuid=2.38.1=h0b41bf4_0 +- libva=2.21.0=hd590300_0 +- libvpx=1.13.1=h59595ed_0 +- libwebp-base=1.4.0=hd590300_0 +- libxcb=1.15=h0b41bf4_0 +- libxml2=2.12.6=h232c23b_2 +- libzlib=1.2.13=hd590300_5 +- lz4=3.0.2=py37h5a7ed16_2 +- lz4-c=1.9.2=he1b5a44_3 +- mako=1.3.3=pyhd8ed1ab_0 +- markdown=3.2.2=py_0 +- markupsafe=2.1.1=py37h540881e_1 +- multidict=4.7.5=py37h5e8e339_2 +- ncurses=6.4.20240210=h59595ed_0 +- nettle=3.9.1=h7ab15ed_0 +- numpy=1.18.4=py37h8960a57_0 +- oauthlib=3.1.0=pyhd8ed1ab_0 +- ocl-icd=2.3.2=hd590300_1 +- ocl-icd-system=1.0.0=1 +- olefile=0.47=pyhd8ed1ab_0 +- openh264=2.4.0=h59595ed_0 +- openssl=3.2.1=hd590300_1 +- opt_einsum=3.3.0=pyhc1e730c_2 +- p11-kit=0.24.1=hc5aa10d_0 +- pandas=1.0.3=py37h0da4684_1 +- pcre2=10.43=hcad00b1_0 +- pillow=7.1.2=py37h718be6c_0 +- pip=24.0=pyhd8ed1ab_0 +- pixman=0.43.2=h59595ed_0 +- protobuf=3.11.3=py37he1b5a44_0 +- pthread-stubs=0.4=h36c2ea0_1001 +- pugixml=1.14=h59595ed_0 +- py-spy=0.3.3=h17340ac_2 +- pyasn1=0.4.8=py_0 +- pyasn1-modules=0.2.8=py_0 +- pycparser=2.21=pyhd8ed1ab_0 +- pyglet=1.5.0=py37hc8dfbb8_1 +- pygpu=0.7.6=py37h902c9e0_1002 +- pyjwt=2.8.0=pyhd8ed1ab_1 +- pyopenssl=23.2.0=pyhd8ed1ab_1 +- pyrsistent=0.16.0=py37h8f50634_0 +- pysocks=1.7.1=py37h89c1867_5 +- python=3.7.12=hf930737_100_cpython +- python-dateutil=2.8.1=py_0 +- python_abi=3.7=4_cp37m +- pytz=2020.1=pyh9f0ad1d_0 +- pyyaml=5.3.1=py37h5e8e339_2 +- readline=8.2=h8228510_1 +- requests=2.23.0=pyh8c360ce_2 +- requests-oauthlib=1.3.0=pyh9f0ad1d_0 +- rsa=4.0=py_0 +- scipy=1.4.1=py37ha3d9a3c_3 +- setuptools=59.8.0=py37h89c1867_1 +- six=1.14.0=py_1 +- snappy=1.1.10=hdb0a2a9_1 +- soupsieve=2.0=py_0 +- sqlite=3.45.3=h2c6b66d_0 +- svt-av1=1.8.0=h59595ed_0 +- tabulate=0.8.7=pyh9f0ad1d_0 +- tbb=2021.12.0=h00ab1b0_0 +- tensorboard=2.2.1=pyh532a8cf_0 +- tensorboard-plugin-wit=1.8.1=pyhd8ed1ab_0 +- tensorboardx=2.0=py_0 +- tensorflow=2.2.0=gpu_py37h1a511ff_0 +- tensorflow-base=2.2.0=gpu_py37h8a81be8_0 +- tensorflow-estimator=2.2.0=pyh3ac7371_0 +- tensorflow-gpu=2.2.0=h0d30ee6_0 +- termcolor=1.1.0=pyhd8ed1ab_3 +- theano=1.0.5=py37h745909e_1 +- tk=8.6.13=noxft_h4845f30_101 +- tqdm=4.46.0=pyh9f0ad1d_0 +- urllib3=1.25.9=py_0 +- werkzeug=1.0.1=pyh9f0ad1d_0 +- wheel=0.42.0=pyhd8ed1ab_0 +- wrapt=1.12.1=py37h5e8e339_3 +- x264=1!164.3095=h166bdaf_2 +- x265=3.5=h924138e_3 +- xorg-fixesproto=5.0=h7f98852_1002 +- xorg-kbproto=1.0.7=h7f98852_1002 +- xorg-libice=1.1.1=hd590300_0 +- xorg-libsm=1.2.4=h7391055_0 +- xorg-libx11=1.8.9=h8ee46fc_0 +- xorg-libxau=1.0.11=hd590300_0 +- xorg-libxdmcp=1.1.3=h7f98852_0 +- xorg-libxext=1.3.4=h0b41bf4_2 +- xorg-libxfixes=5.0.3=h7f98852_1004 +- xorg-libxrender=0.9.11=hd590300_0 +- xorg-renderproto=0.11.1=h7f98852_1002 +- xorg-xextproto=7.3.0=h0b41bf4_1003 +- xorg-xproto=7.0.31=h7f98852_1007 +- xz=5.2.6=h166bdaf_0 +- yaml=0.2.5=h7f98852_2 +- yarl=1.4.2=py37h7b6447c_0 +- zipp=3.1.0=py_0 +- zlib=1.2.13=hd590300_5 +- zstd=1.5.5=hfc55251_0 + diff --git a/data/rlupus/code/helper.py b/data/rlupus/code/helper.py new file mode 100644 index 0000000000000000000000000000000000000000..1265310f82e5560707d617c9c58ab13d4a18a369 --- /dev/null +++ b/data/rlupus/code/helper.py @@ -0,0 +1,40 @@ +# The script takes the place of repo/srcipts/train.sh +import sys +import runpy +import os + +new_paths = [os.path.realpath(p) for p in [".", "./src", "./gym_ww"]] +sys.path = new_paths + sys.path + +# os.environ["PYTHONPATH"] = "./src:./gym_ww:" + os.environ.get("PYTHONPATH", +if "PYTHONPATH" in os.environ: + os.environ["PYTHONPATH"] = ":" + os.environ["PYTHONPATH"] +else: + os.environ["PYTHONPATH"] = "" +os.environ["PYTHONPATH"] = "./src:./gym_ww:" + os.environ["PYTHONPATH"] + + + +from utils import Params + + +cfgs = { + # num_player, signal_length, signal_range] + "9-player": [9, 9, 9], + "9-player-nc": [9, 0, 9], + "21-player": [21, 21, 21], + "21-player-nc": [21, 0, 21], +} +cfg_name = sys.argv[1] +cfg = cfgs[cfg_name] + +# Monkey patch the parameter in +Params.num_player = cfg[0] +Params.signal_length = cfg[1] +Params.signal_range = cfg[2] + +if len(sys.argv) > 2: + Params.checkpoint_path = sys.argv[2] + Params.corpus_generation = True + +runpy._run_module_as_main("src.trainable.train_appo") diff --git a/data/rlupus/code/repo b/data/rlupus/code/repo new file mode 160000 index 0000000000000000000000000000000000000000..b1883e20c6812e32c1a1438367325bcfe39d04ec --- /dev/null +++ b/data/rlupus/code/repo @@ -0,0 +1 @@ +Subproject commit b1883e20c6812e32c1a1438367325bcfe39d04ec diff --git a/data/rlupus/code/run.sh b/data/rlupus/code/run.sh new file mode 100755 index 0000000000000000000000000000000000000000..eb76a32fc00191d2594e575db17b46cbe382c8ea --- /dev/null +++ b/data/rlupus/code/run.sh @@ -0,0 +1,63 @@ +#!/usr/bin/env bash + +# It may be necessary to start the ray server manually. + +set -e + +for cfg_name in {9,21}-player; do + cd repo/ + # Run training + rm -rf log_dir + python ../helper.py $cfg_name + + # Move generic log dir to properly named one (the code does not support + # naming the log dir natively). + log_dir=log_dir-$cfg_name + rm -rf $log_dir + mv log_dir $log_dir + + # Find the last checkpoint + ray_dir=$log_dir/ray_results/APPO/*/ + checkpoint=$(ls $ray_dir | grep '^checkpoint' | sort -t_ -nk2 | tail -n1) + if [[ -z "$checkpoint" ]]; then + echo Could not find checkpoint in $ray_dir. + exit 1 + fi + ckpt_iter=$(echo $checkpoint | cut -d_ -f2) + + # Run the corpus generation code. If a second argument is given to + # helper, assume that we are doing corpus genernation. + python ../helper.py $cfg_name $ray_dir/$checkpoint/checkpoint-$ckpt_iter + cd .. + + # Make data dir + data_dir=../data/$cfg_name + mkdir -p $data_dir + out_metadata=$data_dir/metadata.json + + # Copy corpora into data dir + cp repo/log_dir/eval/*.jsonl $data_dir + + # Extract metrics from output + system_metrics=$( + tail -n100 repo/$ray_dir/result.json |\ + jq " + select(.iterations_since_restore == $ckpt_iter).custom_metrics | + pick(.accord_mean,.win_vil_mean) + " + ) + + if [[ -z "$system_metrics" ]]; then + echo Failed to extract system metrics + exit 1 + fi + + # Update corpus metadata + # TODO Put this in common file + if ! [[ -s $out_metadata ]]; then + echo '{}' >$out_metadata + fi + jq ".metrics.system=$system_metrics" \ + <$out_metadata >$out_metadata.tmp + mv $out_metadata{.tmp,} +done diff --git a/data/rlupus/data/21-player.run-0/corpus.json b/data/rlupus/data/21-player.run-0/corpus.json new file mode 100644 index 0000000000000000000000000000000000000000..5892553dfd6c45e9f174281b13cb9c184409a65b --- /dev/null +++ b/data/rlupus/data/21-player.run-0/corpus.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e687f25da9fa183e261f5af1f082444fd5e9b2f0df8ed5806bae4f1cad04c8b9 +size 17914023 diff --git a/data/rlupus/data/21-player.run-0/corpus.jsonl b/data/rlupus/data/21-player.run-0/corpus.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..05da86191859ddb522ba0b54f52fd858ebc833d3 --- /dev/null +++ b/data/rlupus/data/21-player.run-0/corpus.jsonl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9913ea04c52455e0cc2fad8b84bd294e886358c36dd4acf8739ad23b4b86a41b +size 25044431 diff --git a/data/rlupus/data/21-player.run-0/corpus.structured.jsonl b/data/rlupus/data/21-player.run-0/corpus.structured.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8abf92e41ce8ceeb8df4ef3fa25e6ee7de3cab23 --- /dev/null +++ b/data/rlupus/data/21-player.run-0/corpus.structured.jsonl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a75bae384340a0072d2c8ce5f482b677aa2e8bf2b9ccd53e76f22603b1c2c652 +size 30696858 diff --git a/data/rlupus/data/21-player.run-0/metadata.json b/data/rlupus/data/21-player.run-0/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0a26334a827dd1432dc37daa00d1c45c71c5afc7 --- /dev/null +++ b/data/rlupus/data/21-player.run-0/metadata.json @@ -0,0 +1,23 @@ +{ + "metrics": { + "system": { + "accord_mean": 0.5593747516143761, + "win_vil_mean": 0.856353591160221 + }, + "analysis": { + "Token Count": 7131411, + "Line Count": 1001, + "Tokens per Line": 7124.286713286713, + "Tokens per Line SD": 445.8373848608337, + "Unique Tokens": 21, + "Unique Lines": 1001, + "1-gram Entropy": 4.062520134185062, + "1-gram Normalized Entropy": 0.9249149692862919, + "2-gram Entropy": 6.956412428344239, + "2-gram Conditional Entropy": 2.8938922941591763, + "Entropy per Line": 28942.558214434393, + "EoS Token Present": false, + "EoS Padding": false + } + } +} \ No newline at end of file diff --git a/data/rlupus/data/21-player.run-1/corpus.json b/data/rlupus/data/21-player.run-1/corpus.json new file mode 100644 index 0000000000000000000000000000000000000000..ec3de3005bc0e43dc7fddb49c87bd9241e584db2 --- /dev/null +++ b/data/rlupus/data/21-player.run-1/corpus.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ff8a3d5a20b57d900950547b639a61ddd509a6d83b68b0c8fb94042bf5da87f2 +size 17355797 diff --git a/data/rlupus/data/21-player.run-1/corpus.jsonl 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b/data/rlupus/data/9-player.run-3/corpus.structured.jsonl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d50cc186bb0fa430a39f78f3ca93ee87b551a36387f935d7e97fa5f5fdf0a1c9 +size 2008388 diff --git a/data/rlupus/data/9-player.run-3/metadata.json b/data/rlupus/data/9-player.run-3/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..843b0554e83778412ce613624032676c63dd79e7 --- /dev/null +++ b/data/rlupus/data/9-player.run-3/metadata.json @@ -0,0 +1,23 @@ +{ + "metrics": { + "system": { + "accord_mean": 0.4789567590260285, + "win_vil_mean": 0.4629163168205989 + }, + "analysis": { + "Token Count": 416538, + "Line Count": 1003, + "Tokens per Line": 415.29212362911267, + "Tokens per Line SD": 124.88733669662086, + "Unique Tokens": 9, + "Unique Lines": 1003, + "1-gram Entropy": 3.111234886446668, + "1-gram Normalized Entropy": 0.9814853301043589, + "2-gram Entropy": 5.865222139465769, + "2-gram Conditional Entropy": 2.7539872530191007, + "Entropy per Line": 1292.0713431014178, + "EoS Token Present": false, + "EoS Padding": false + } + } +} \ No newline at end of file diff --git a/data/rlupus/metadata.yml b/data/rlupus/metadata.yml new file mode 100644 index 0000000000000000000000000000000000000000..00ac2ce1106216a514bd3106be3d3e0c47f955f1 --- /dev/null +++ b/data/rlupus/metadata.yml @@ -0,0 +1,51 @@ +origin: + source: https://github.com/brendon-boldt/rl_werewolf + upstream_source: https://github.com/nicofirst1/rl_werewolf + paper: https://arxiv.org/abs/2106.05018 +system: + game_type: conversation + game_subtype: social_deduction + observation_type: vector + observation_continuous: false + multi_step: true + data_source: null + seeding_available: false + symmetric_agents: true + more_than_2_agents: true + multi_utterance: true + variants: + 9-player.run-0: + message_length: 9 + vocab_size: 9 + note: reached 0.88 WR (win rate) in 38 hours (no automatic stopping) + 9-player.run-1: + message_length: 9 + vocab_size: 9 + note: reached 0.44 WR, stopped at 48 hours + 9-player.run-2: + message_length: 9 + vocab_size: 9 + note: reached 0.44 WR, stopped at 48 hours + 9-player.run-3: + message_length: 9 + vocab_size: 9 + note: reached 0.44 WR, stopped at 37 hours + 21-player.run-0: + message_length: 21 + vocab_size: 21 + note: reached 0.88 WR in 34 hours (no automatic stopping) + 21-player.run-1: + message_length: 21 + vocab_size: 21 + note: reached 0.55 WR, stopped at 48 hours + 21-player.run-2: + message_length: 21 + vocab_size: 21 + note: reached 0.85 WR in 28 hours +notes: > + This environment is somewhat unstable and does not provide random seeding, so + reproducing exact results is tricky. Nevertheless, environment converge about + half of the time (i.e., reach 85% villager win rate before 48 hours of + training). + 9 player (~11M steps per hour). + 21 player (~4M steps per hour). diff --git a/flake.lock b/flake.lock new file mode 100644 index 0000000000000000000000000000000000000000..2f058bb3e09be0109f0f498133cb7bcf9b831a8a --- /dev/null +++ b/flake.lock @@ -0,0 +1,25 @@ +{ + "nodes": { + "nixpkgs": { + "locked": { + "lastModified": 1709386671, + "narHash": "sha256-VPqfBnIJ+cfa78pd4Y5Cr6sOWVW8GYHRVucxJGmRf8Q=", + "owner": "NixOS", + "repo": "nixpkgs", + "rev": "fa9a51752f1b5de583ad5213eb621be071806663", + "type": "github" + }, + "original": { + "id": "nixpkgs", + "type": "indirect" + } + }, + "root": { + "inputs": { + "nixpkgs": "nixpkgs" + } + } + }, + "root": "root", + "version": 7 +} diff --git a/flake.nix b/flake.nix new file mode 100644 index 0000000000000000000000000000000000000000..8fa79d2c9345d66756082568fc037e899b7f7174 --- /dev/null +++ b/flake.nix @@ -0,0 +1,22 @@ +{ + outputs = { self, nixpkgs }: + let + system = "x86_64-linux"; + pkgs = import nixpkgs { system = system; }; + python-with-packages = pkgs.python312.withPackages (p: with p; [ + mypy + black + ]); + in + { + devShells.${system}.default = pkgs.mkShell { + packages = with pkgs; [ + # micromamba + python-with-packages + nodejs_21 + ]; + }; + }; +} + + diff --git a/util/__init__.py b/util/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/util/analysis/__init__.py b/util/analysis/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/util/analysis/__main__.py b/util/analysis/__main__.py new file mode 100644 index 0000000000000000000000000000000000000000..3ce942d7e7c1c230a86af9dfd162b57f6c25960a --- /dev/null +++ b/util/analysis/__main__.py @@ -0,0 +1,12 @@ +from . import run +import sys + + +if __name__ == "__main__": + if len(sys.argv) > 1: + # Recommend running this with -i + df = run.pd.read_csv(sys.argv[1]) + df.set_index("name", inplace=True) + run.generate_plots(df) + else: + run.main() diff --git a/util/analysis/metric.py b/util/analysis/metric.py new file mode 100644 index 0000000000000000000000000000000000000000..1fbab43a64d4efc1fe003b2199035d70fb845ddc --- /dev/null +++ b/util/analysis/metric.py @@ -0,0 +1,92 @@ +from typing import Callable, TypeVar, Mapping + +import numpy as np + + +metric_registry = [] +NumMap = Mapping[str, float | int | bool] +NM = TypeVar("NM", bound=NumMap) + + +def register( + func: Callable[[list[np.ndarray]], NM] +) -> Callable[[list[np.ndarray]], NM]: + metric_registry.append(func) + return func + + +@register +def basic(data: list[np.ndarray]) -> NumMap: + catted = np.concatenate(data) + return { + "Token Count": len(catted), + "Line Count": len(data), + "Tokens per Line": len(np.concatenate(data)) / len(data), + "Tokens per Line SD": float(np.std([len(x) for x in data])), + "Unique Tokens": len(np.unique(catted)), + "Unique Lines": len({hash(l.data.tobytes()) for l in data}), + } + + +@register +def entropy_1gram(data: list[np.ndarray]) -> NumMap: + catted = np.concatenate(data) + counts = np.unique(catted, return_counts=True)[1] + normed = counts / counts.sum() + ent = -(normed * np.log2(normed)).sum() + return { + "1-gram Entropy": ent, + "1-gram Normalized Entropy": ent / np.log2(len(counts)), + } + + +@register +def conditional_entropy_2gram(data: list[np.ndarray]) -> NumMap: + windows = [np.lib.stride_tricks.sliding_window_view(x, (2,), axis=-1) for x in data] + catted = np.concatenate(windows) + counts = np.unique(catted, axis=0, return_counts=True)[1] + normed = counts / counts.sum() + ent = -(normed * np.log2(normed)).sum() + return { + "2-gram Entropy": ent, + "2-gram Conditional Entropy": ent - entropy_1gram(data)["1-gram Entropy"], + } + + +@register +def entropy_per_line(data: list[np.ndarray]) -> NumMap: + catted = np.concatenate(data) + unique_values, counts_dense = np.unique(catted, return_counts=True) + counts = np.zeros(np.max(unique_values) + 1, dtype=float) + counts[unique_values] = counts_dense + # Smoothing + counts += 1e-10 + logged = np.log2(counts / counts.sum()) + bpm = -np.mean([logged[msg].sum() for msg in data]) + return {"Entropy per Line": bpm} + + +@register +def end_of_sentence(data: list[np.ndarray]) -> NumMap: + """Detect if end-of-sentence token present.""" + candidates = {l[-1] for l in data} + if len(candidates) == 1: + c = list(candidates)[0] + + eos_only_at_end = lambda x: all(x[:-1] != c) + all_eos_rightward = lambda x: all( + (x[i] != c) or all(x[i:] == c) for i in range(len(x)) + ) + eos_present = all(eos_only_at_end(x) or all_eos_rightward(x) for x in data) + + same_length = len({len(l) for l in data}) == 1 + padding_exists = any(any(x[:-1] == c) for x in data) + eos_padding = eos_present and same_length and padding_exists + else: + eos_present = False + eos_padding = False + + return { + "EoS Token Present": eos_present, + "EoS Padding": eos_padding, + } diff --git a/util/analysis/metric_test.py b/util/analysis/metric_test.py new file mode 100644 index 0000000000000000000000000000000000000000..70f216319f0ffc134757a3fbc0104d463e9b3a6e --- /dev/null +++ b/util/analysis/metric_test.py @@ -0,0 +1,64 @@ +import unittest + +import numpy as np + +from . import metric + + +def to_numpy_list(x: list[list[list[int]]]) -> list[list[np.ndarray]]: + return [[np.array(z) for z in y] for y in x] + + +class TestEosMethods(unittest.TestCase): + def helper(self, data_arr, x, y) -> None: + expected = { + "EoS Token Pesent": x, + "EoS Padding": y, + } + for data in data_arr: + res = metric.end_of_sentence(data) + self.assertEqual(res, expected) + + def test_false_false(self): + data_arr = to_numpy_list( + [ + [ + [1, 2, 3], + [1, 2, 4], + ], + [ + [1, 2, 0], + [0, 2, 0], + ], + ] + ) + self.helper(data_arr, False, False) + + def test_true_false(self): + data_arr = to_numpy_list( + [ + [ + [1, 2, 0], + [1, 2, 0], + ], + ] + ) + self.helper(data_arr, True, False) + + def test_true_true(self): + data_arr = to_numpy_list( + [ + [ + [1, 2, 0], + [1, 0, 0], + ], + ] + ) + self.helper(data_arr, True, True) + + def test_true(self): + pass + + +if __name__ == "__main__": + unittest.main() diff --git a/util/analysis/run.py b/util/analysis/run.py new file mode 100644 index 0000000000000000000000000000000000000000..3ea83cfd9b607a72497e2d21b3269674b9c94be5 --- /dev/null +++ b/util/analysis/run.py @@ -0,0 +1,92 @@ +import json +from pathlib import Path +import logging +from typing import Any +import sys + +import numpy as np +import joblib # type: ignore +from tqdm import tqdm # type: ignore +import pandas as pd + +from .. import util +from .metric import metric_registry + +logging.basicConfig(level=logging.INFO) + + +def load_data(path: Path) -> list[np.ndarray]: + data = [] + with path.open() as fo: + for line in fo: + row = json.loads(line) + if len(row) == 0: + continue + data.append(np.array(row)) + return data + + +def analyze_data(input_path: Path) -> dict[str, Any] | None: + # TODO Account for EOS + name = path_to_name(input_path) + logging.debug(f"Analyzing: {name}") + metrics = None + try: + data = load_data(input_path) + metrics = dict(kv for f in metric_registry for kv in f(data).items()) + metadata_path = input_path.parent / "metadata.json" + with util.update_json(metadata_path) as md: + md["metrics"] = md.get("metrics", {}) + md["metrics"]["analysis"] = metrics + except Exception as e: + logging.warning(f"{name} failed due to {e}") + raise e # TODO remove + finally: + logging.debug(f"Finished: {name}") + return metrics + + +def path_to_name(path: Path) -> str: + comps = list(path.parents[-3:-2]) + list(path.parents[-5::-1]) + return "/".join(x.name for x in comps) + + +def main() -> None: + paths = list(Path("./data").glob("*/data/**/corpus.jsonl")) + funcs = [joblib.delayed(analyze_data)(path) for path in paths] + parallel = joblib.Parallel(n_jobs=-1, return_as="generator")(funcs) + results = list(tqdm(parallel, total=len(funcs))) + results = [x for x in results if x is not None] + + for p, r in zip(paths, results): + r["name"] = path_to_name(p) + + df = pd.DataFrame(results) + df.set_index("name", inplace=True) + df.to_csv("table.csv") + + +def generate_plots(df: pd.DataFrame) -> None: + summary = df.describe() + summary.drop(["count", "mean", "std"], inplace=True) + summary = summary.T + + to_int_rows = ["Unique Tokens", "Unique Lines", "Token Count", "Line Count"] + col_rename = { + "25%": "$25\\%$", + "50%": "$50\\%$", + "75%": "$75\\%$", + } + _summary = pd.DataFrame(columns=summary.columns) + for k in summary.index: + if k in to_int_rows: + fmtr = lambda x: f"${int(x)}$" + else: + fmtr = lambda x: f"${x:.2f}$" + _summary.loc[k] = summary.loc[k].apply(fmtr) + summary = _summary + summary.rename(columns=col_rename, inplace=True) + print(summary) + summary.to_latex("summary.tex", column_format="lrrrrr") + + print(df.corr()) diff --git a/util/croissant.py b/util/croissant.py new file mode 100644 index 0000000000000000000000000000000000000000..28e97ba51343011d2d5c21c7bf7353d35595e076 --- /dev/null +++ b/util/croissant.py @@ -0,0 +1,98 @@ +import json +from pathlib import Path +from textwrap import dedent +import datetime + +import mlcroissant as mlc # type: ignore + + +metadata = mlc.Metadata( + name="ELCC", + description="ELCC is a collection of emergent language corpora with accompanying metadata and analyses.", + license="https://creativecommons.org/licenses/by/4.0/", + url="https://huggingface.co/datasets/bboldt/elcc/", + date_published=datetime.datetime.now(datetime.UTC), + cite_as=dedent( + """\ + @misc{boldt2024elcc, + title = "{ELCC}: the Emergent Language Corpus Collection", + author = "Brendon Boldt and David Mortensen", + year = 2024, + url = "", + }""" + ), + version="0.1.0", + keywords=["emergent communication", "emergent language", "corpus"], +) + + +def insert_corpora(metadata: mlc.Metadata) -> None: + paths = list(Path("data").glob("*/data/*/corpus.json")) + + dist: list[dict] = [ + mlc.FileObject( + id="hf-repo", + name="hf-repo", + content_url="https://huggingface.co/datasets/bboldt/elcc/", + encoding_format="git+https", + sha256="main", + ) + ] + metadata.distribution = dist + record_sets: list[dict] = [] + metadata.record_sets = record_sets + + for path in paths: + comps = str(path).split("/") + name = f"{comps[-4]}/{comps[-2]}" + + dist.append( + mlc.FileObject( + id=str(path), + name=str(path), + content_url=str(path), + encoding_format="text/plain", + contained_in=["hf-repo"], + ) + ) + record_sets.append( + mlc.RecordSet( + id=name, + name=name, + fields=[ + mlc.Field( + id=f"{name}/content", + name="content", + data_types=mlc.DataType.TEXT, + source=mlc.Source( + file_object=str(path), + extract=mlc.Extract(file_property="content"), + ), + ), + ], + ) + ) + + +def main() -> None: + insert_corpora(metadata) + + print(metadata.issues.report()) + with open("croissant.json", "w") as fo: + d = metadata.to_json() + d["datePublished"] = str(d["datePublished"]) + json.dump(d, fo, indent=2) + + +def test() -> None: + dataset = mlc.Dataset(jsonld="croissant.json") + records = dataset.records(record_set="babyai-sr/GoToObj") + + for i, rec in enumerate(records): + print(rec) + if i > 10: + break + + +if __name__ == "__main__": + main() diff --git a/util/environment.yml b/util/environment.yml new file mode 100644 index 0000000000000000000000000000000000000000..292bf08431be3c33280d170223d3afcff2b17161 --- /dev/null +++ b/util/environment.yml @@ -0,0 +1,18 @@ +name: elcc +channels: + - conda-forge +dependencies: + - pandas + - pandas-stubs + - mypy + - black + - tqdm + - joblib + - pydantic + - pyyaml + - jinja2 + - git + - git-lfs + - pip: + - mlcroissant + - GitPython diff --git a/util/jsonl2json.sh b/util/jsonl2json.sh new file mode 100644 index 0000000000000000000000000000000000000000..31094701d49f3576ffddbe7fe8d9e93f6b3c02c4 --- /dev/null +++ b/util/jsonl2json.sh @@ -0,0 +1,5 @@ +#!/usr/bin/env bash + +for x in **/corpus.jsonl; do + cat $x | jq -sc > $(dirname $x)/$(basename $x .jsonl).json; +done diff --git a/util/util.py b/util/util.py new file mode 100644 index 0000000000000000000000000000000000000000..d177acd4707b1c3eda825c723d1c10a67ac6d55b --- /dev/null +++ b/util/util.py @@ -0,0 +1,30 @@ +import contextlib +from typing import Iterator, Any, Union, Dict +from pathlib import Path +import json + +Json = Dict[str, Any] +PathLike = Union[str, Path] + + +@contextlib.contextmanager +def update_json(path: PathLike) -> Iterator[Json]: + exists = Path(path).exists() + with open(path, "r+" if exists else "w") as fo: + data = json.load(fo) if exists else {} + yield data + # Do this in two separate stages so that if there is a JSON decode + # error, we do not overwrite the file. + json_data = json.dumps(data, indent=2) + fo.seek(0) + fo.write(json_data) + fo.truncate() + + +def write_system_metrics(path: PathLike, data: Json) -> None: + with update_json(f"{path}/metadata.json") as orig_data: + metrics = orig_data.get("metrics", {}) + system = metrics.get("system", {}) + system.update(data) + metrics["system"] = system + orig_data["metrics"] = metrics diff --git a/util/validate.py b/util/validate.py new file mode 100644 index 0000000000000000000000000000000000000000..e6e0cb29c2acc56090cdb9a54d815d0a3d28ddf4 --- /dev/null +++ b/util/validate.py @@ -0,0 +1,112 @@ +from pathlib import Path +import logging +from typing import Any, Literal, TypeVar + +import pydantic +import yaml # type: ignore + +T = TypeVar("T") + +logging.basicConfig(level=logging.INFO) + + +Url = str + + +class BaseModel(pydantic.BaseModel): + model_config = pydantic.ConfigDict(extra="forbid") + + +class OriginMetadata(BaseModel): + source: Url + """Where the code is from.""" + upstream_source: Url | None = None + """The original implementation.""" + paper: Url | None = None + """The paper which introduces the system.""" + + +class SystemMetadata(BaseModel): + game_type: Literal["signalling", "conversation", "navigation"] + observation_type: Literal["vector", "image"] + observation_continuous: bool + data_source: None | Literal["natural", "synthetic"] + variants: dict[str, Any] + """Different variants of the environment. + + Each dict should be populated with the distinguishing characteristics of + that environment. + + """ + game_subtype: None | str + seeding_available: bool + """System implements settable random seeds.""" + multi_step: bool + """Environment has multiple timesteps per episode.""" + symmetric_agents: bool + """Agents can send and receive messages.""" + multi_utterance: bool + """Multiple utterances are present per line.""" + more_than_2_agents: bool + """More than two agents present in the environment.""" + + @pydantic.field_validator("variants") + @classmethod + def check_variants(cls, v: T, info: pydantic.ValidationInfo) -> T: + if not isinstance(v, dict): + raise ValueError(f'Field "variants" must be a dict.') + if info.context and (path := info.context.get("path", None)): + # Check that all listed variants are present on the filesystem. + for k in v.keys(): + validate_variant(f"{path}/data/{k}") + # Check that all variants on the filesystem are listed in the metadata. + for var in Path(path).glob("data/*"): + if var.name not in v.keys(): + logging.warning( + f'Directory "{path}/data/{var}" found but not listed in metadata.' + ) + return v # type: ignore + + +def validate_variant(_path: str) -> None: + path = Path(_path) + if not path.exists(): + logging.warning( + f"Variant {path.name} in metadata but not {path} does not exist." + ) + return + corpus_path = path / "corpus.jsonl" + if not corpus_path.exists(): + logging.warning(f"Corpus file {corpus_path} does not exist.") + metadata_path = path / "metadata.json" + if not metadata_path.exists(): + logging.warning(f"Metadata file {metadata_path} does not exist.") + + +class SystemLevelMetadata(BaseModel): + origin: OriginMetadata + system: SystemMetadata + notes: str | None = None + + +def main() -> None: + paths = list(Path(".").glob("data/*")) + for path in paths: + try: + md_path = path / "metadata.yml" + if not md_path.exists(): + logging.warning(f'Missing metadata file at "{md_path}".') + continue + with md_path.open() as fo: + raw = yaml.load(fo.read(), Loader=yaml.Loader) + if raw is None: + logging.warning(f'"{md_path}" is empty.') + continue + SystemLevelMetadata.model_validate(raw, context={"path": path}) + except (yaml.parser.ParserError, pydantic.ValidationError) as e: + logging.warning(f'Path "{md_path}" failed validation with:\n{e}') + logging.info("Validation completed.") + + +if __name__ == "__main__": + main() diff --git a/website/.eslintrc.json b/website/.eslintrc.json new file mode 100644 index 0000000000000000000000000000000000000000..bffb357a7122523ec94045523758c4b825b448ef --- /dev/null +++ b/website/.eslintrc.json @@ -0,0 +1,3 @@ +{ + "extends": "next/core-web-vitals" +} diff --git a/website/.gitignore b/website/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..fd3dbb571a12a1c3baf000db049e141c888d05a8 --- /dev/null +++ b/website/.gitignore @@ -0,0 +1,36 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.js +.yarn/install-state.gz + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* + +# local env files +.env*.local + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts diff --git a/website/README.md b/website/README.md new file mode 100644 index 0000000000000000000000000000000000000000..c4033664f80d3cb9cb687fb5facbc82aedb302f6 --- /dev/null +++ b/website/README.md @@ -0,0 +1,36 @@ +This is a [Next.js](https://nextjs.org/) project bootstrapped with [`create-next-app`](https://github.com/vercel/next.js/tree/canary/packages/create-next-app). + +## Getting Started + +First, run the development server: + +```bash +npm run dev +# or +yarn dev +# or +pnpm dev +# or +bun dev +``` + +Open [http://localhost:3000](http://localhost:3000) with your browser to see the result. + +You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file. + +This project uses [`next/font`](https://nextjs.org/docs/basic-features/font-optimization) to automatically optimize and load Inter, a custom Google Font. + +## Learn More + +To learn more about Next.js, take a look at the following resources: + +- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API. +- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial. + +You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js/) - your feedback and contributions are welcome! + +## Deploy on Vercel + +The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js. + +Check out our [Next.js deployment documentation](https://nextjs.org/docs/deployment) for more details. diff --git a/website/app/components/LangTable.tsx b/website/app/components/LangTable.tsx new file mode 100644 index 0000000000000000000000000000000000000000..920f5eedc542c458ba95422923fcd246a29bce82 --- /dev/null +++ b/website/app/components/LangTable.tsx @@ -0,0 +1,49 @@ +"use client"; + +import { AgGridReact } from 'ag-grid-react'; +import { RowClickedEvent } from 'ag-grid-community'; +import "ag-grid-community/styles/ag-grid.css"; +import "ag-grid-community/styles/ag-theme-quartz.css"; + +type TableRow = { + // name: string, + // values: {[key: string]: string | number | boolean}, + name: string, + variant: string, + [key: string]: string | number | boolean, +}; + +type Table = { + headers: Array; + rows: Array; +}; + +type Props = { + tableData: Array; +}; + +const rowClickHandler = (e: RowClickedEvent) => { + window.open(`${window.origin}/language/${e.data.name}`, "_blank"); +}; + + +export default function LangTable({tableData}: Props) { + const defaults = { suppressMovable: true }; + const colDefs = [ + { ...defaults, field: "name", flex: 2, pinned: 'left' } as const, + { ...defaults, field: "variant", flex: 2, pinned: 'left' } as const, + { ...defaults, field: "game-type" }, + { ...defaults, field: "game-subtype" }, + { ...defaults, field: "data-source" }, + { ...defaults, field: "entropy_1gram", valueGetter: (p: any) => p.data.entropy_1gram.toFixed(2), type: "numericColumn" }, + ]; + + return ( + + ); +} diff --git a/website/app/favicon.ico b/website/app/favicon.ico new file mode 100644 index 0000000000000000000000000000000000000000..718d6fea4835ec2d246af9800eddb7ffb276240c Binary files /dev/null and b/website/app/favicon.ico differ diff --git a/website/app/globals.css b/website/app/globals.css new file mode 100644 index 0000000000000000000000000000000000000000..5d3e3783ff35b9d0a268f5c99bed00c4031dd436 --- /dev/null +++ b/website/app/globals.css @@ -0,0 +1,43 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + +:root { + --foreground-rgb: 0, 0, 0; + --background-start-rgb: 214, 219, 220; + --background-end-rgb: 255, 255, 255; +} + +/* +@media (prefers-color-scheme: dark) { + :root { + --foreground-rgb: 255, 255, 255; + --background-start-rgb: 0, 0, 0; + --background-end-rgb: 0, 0, 0; + } +} +*/ + +body { + color: rgb(var(--foreground-rgb)); + /* + background: linear-gradient( + to bottom, + transparent, + rgb(var(--background-end-rgb)) + ) + rgb(var(--background-start-rgb)); + */ +} + +@layer utilities { + .text-balance { + text-wrap: balance; + } +} + +/** Begin Custom **/ + +h1 { + @apply text-3xl mb-4; +} diff --git a/website/app/language/[language]/page.tsx b/website/app/language/[language]/page.tsx new file mode 100644 index 0000000000000000000000000000000000000000..061c22ef63f6cb67c3c789268dd3e4873caa5d63 --- /dev/null +++ b/website/app/language/[language]/page.tsx @@ -0,0 +1,27 @@ +import { getLibEntryPaths, getLanguageMetadata } from "../../lib/library"; + +export async function generateStaticParams() { + const paths = await getLibEntryPaths(); + return paths.map((path) => ({ + language: path.split("/").at(-1), + })) +} + + +type Params = { + params: { + language: string; + } +}; + +export default async function Page({ params }: Params) { + const langMd = await getLanguageMetadata(params.language); + return <> +

{params.language}

+
+ 
+        {JSON.stringify(langMd, null, 4)}
+
+
+ ; +} diff --git a/website/app/layout.tsx b/website/app/layout.tsx new file mode 100644 index 0000000000000000000000000000000000000000..8eb97a807e4eb98d8d2bf7eb0f21620c6ce01d08 --- /dev/null +++ b/website/app/layout.tsx @@ -0,0 +1,37 @@ +import type { Metadata } from "next"; +import { Inter } from "next/font/google"; +import "./globals.css"; + +const inter = Inter({ subsets: ["latin"] }); + +export const metadata: Metadata = { + title: "Emergent Language Library", + description: "Generated by create next app", +}; + +export default function RootLayout({ + children, +}: Readonly<{ + children: React.ReactNode; +}>) { + return ( + + +
+ + Emergent Language Library + +
+
+ {children} +
+ + + ); +} diff --git a/website/app/lib/library.ts b/website/app/lib/library.ts new file mode 100644 index 0000000000000000000000000000000000000000..4e8f8a3b493c836b520b03559d7a9991c7388994 --- /dev/null +++ b/website/app/lib/library.ts @@ -0,0 +1,92 @@ +import fsPromises from "node:fs/promises"; +import { parse as parseYaml } from "yaml"; + +const LIB_PATH = "../data/"; + +type AnyObject = {[k: string]: any}; + +const readText = (path: string): Promise => + fsPromises.readFile(path, {encoding: "utf-8"}); + +const makeReader = (parser: (s: string) => AnyObject) => async (path: string): Promise => { + try { + const text = await readText(path); + return parser(text); + } catch (e) { + return {}; + }; +}; + +const readMetadata = async (basePath: string): Promise => { + const fmts = [ + [readYaml, "yaml"], + [readYaml, "yml"], + [readJson, "json"], + ] as const; + for (const fmt of fmts) { + const md = await fmt[0](`${basePath}/metadata.${fmt[1]}`); + if (md && Object.keys(md).length > 0) + return md; + }; + return {}; +} + +const readJson = makeReader(JSON.parse); +const readYaml = makeReader(parseYaml); + +const getMetrics = async (path: string): Promise => { + try { + const data = await readMetadata(path); + const metrics = data.metrics ?? {}; + return { + ...(metrics.analysis ?? {}), + }; + } catch (e) { + return {}; + } +}; + +const readVariantsFromEntry = async (entryPath: string): Promise> => { + // const entryMd = await readYaml(entryPath + "/metadata.yml"); + const entryMd = await readMetadata(entryPath); + const variants = entryMd.system?.variants ?? {}; + const variantMds = Object.keys(variants).map(async (v: any) => { + // const metrics = await getMetrics(`${entryPath}/data/${v}/metadata.json`); + const metrics = await getMetrics(`${entryPath}/data/${v}`); + const obj = { + name: entryPath.split("/").at(-1), + variant: v, + ...(entryMd.origin ?? {}), + ...(entryMd.system ?? {}), + ...variants[v], + ...metrics, + }; + delete obj.variants; + return obj; + }); + return await Promise.all(variantMds); +} + +export const getLibEntryPaths = async (): Promise> => { + return (await fsPromises.readdir(LIB_PATH)).map(p => LIB_PATH + p); +} + +export const getLangTableData = async (): Promise> => { + const paths = await getLibEntryPaths(); + const mds = (await Promise.all(paths.map(p => readVariantsFromEntry(p)))).flat(); + return mds; +}; + +export const getLanguageMetadata = async (name: string): Promise => { + const basePath = [LIB_PATH, name].join("/"); + const md = await readMetadata(basePath); + const variants = md.system.variants ?? {}; + const variantPaths = await fsPromises.readdir(basePath + "/data"); + for (const vName of variantPaths) { + const vPath = [basePath, "data", vName].join("/"); + const vMd = await readMetadata(vPath); + variants[vName] = {...variants[vName], ...vMd}; + } + md.system.variants = variants; + return md; +}; diff --git a/website/app/page.tsx b/website/app/page.tsx new file mode 100644 index 0000000000000000000000000000000000000000..ac3e819eed5ae27f3ab1e5c821f87ca2fd2c9031 --- /dev/null +++ b/website/app/page.tsx @@ -0,0 +1,16 @@ +import LangTable from "./components/LangTable"; +import { getLangTableData } from "./lib/library"; + +export default async function Home() { + + const tableData = await getLangTableData(); + + return ( + <> +

Library Overview

+
+ +
+ + ); +} diff --git a/website/app/pages/api/hello.ts b/website/app/pages/api/hello.ts new file mode 100644 index 0000000000000000000000000000000000000000..e9285f752de221fc4c2a4eecd764307895668a6d --- /dev/null +++ b/website/app/pages/api/hello.ts @@ -0,0 +1,3 @@ +export default function handler(req: any, res: any) { + res.status(200).json({text: "hello"}); +} diff --git a/website/next.config.mjs b/website/next.config.mjs new file mode 100644 index 0000000000000000000000000000000000000000..2507666cb8f0eee65cebd3fe829f6a9b2975f0ff --- /dev/null +++ b/website/next.config.mjs @@ -0,0 +1,7 @@ +/** @type {import('next').NextConfig} */ +const nextConfig = { + output: "export", + trailingSlash: true, +}; + +export default nextConfig; diff --git a/website/package-lock.json b/website/package-lock.json new file mode 100644 index 0000000000000000000000000000000000000000..8de9da8323f009bcd6891f089867fbaacbabc33a --- /dev/null +++ b/website/package-lock.json @@ -0,0 +1,4923 @@ +{ + "name": 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"@types/react-dom": "^18", + "autoprefixer": "^10.0.1", + "eslint": "^8", + "eslint-config-next": "14.1.3", + "postcss": "^8", + "tailwindcss": "^3.3.0", + "typescript": "^5" + } +} diff --git a/website/postcss.config.js b/website/postcss.config.js new file mode 100644 index 0000000000000000000000000000000000000000..12a703d900da8159c30e75acbd2c4d87ae177f62 --- /dev/null +++ b/website/postcss.config.js @@ -0,0 +1,6 @@ +module.exports = { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +}; diff --git a/website/tailwind.config.ts b/website/tailwind.config.ts new file mode 100644 index 0000000000000000000000000000000000000000..7e4bd91a03437328466a264489ce47e107635565 --- /dev/null +++ b/website/tailwind.config.ts @@ -0,0 +1,20 @@ +import type { Config } from "tailwindcss"; + +const config: Config = { + content: [ + "./pages/**/*.{js,ts,jsx,tsx,mdx}", + "./components/**/*.{js,ts,jsx,tsx,mdx}", + "./app/**/*.{js,ts,jsx,tsx,mdx}", + ], + theme: { + extend: { + backgroundImage: { + "gradient-radial": "radial-gradient(var(--tw-gradient-stops))", + "gradient-conic": + "conic-gradient(from 180deg at 50% 50%, var(--tw-gradient-stops))", + }, + }, + }, + plugins: [], +}; +export default config; diff --git a/website/tsconfig.json b/website/tsconfig.json new file mode 100644 index 0000000000000000000000000000000000000000..e7ff90fd2767199e09b281bfa87e08a90f33270e --- /dev/null +++ b/website/tsconfig.json @@ -0,0 +1,26 @@ +{ + "compilerOptions": { + "lib": ["dom", "dom.iterable", "esnext"], + "allowJs": true, + "skipLibCheck": true, + "strict": true, + "noEmit": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "preserve", + "incremental": true, + "plugins": [ + { + "name": "next" + } + ], + "paths": { + "@/*": ["./*"] + } + }, + "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"], + "exclude": ["node_modules"] +}