Duplicate from IVLLab/MultiDialog

Co-authored-by: Se Jin Park <SeJinPark@users.noreply.huggingface.co>

.gitattributes

@@ -0,0 +1,56 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+*.jsonl filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text

MultiDialog.py

@@ -0,0 +1,227 @@
+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import csv
+import os
+import json 
+import datasets
+
+_CITATION = """\
+"""
+
+_DESCRIPTION = """\
+Multidialog is the first large-sccale multimodal (i.e. audio, visual, and text) dialogue corpus, consisting of approximately 400 hours of audio-visual conversation strems between 6 pairs of conversation partners. 
+It contina
+"""
+
+_HOMEPAGE = "https://multidialog.github.io/"
+
+_LICENSE = "Apache License 2.0"
+
+_SUBSETS = ("train", "test_freq", "test_rare", "valid_freq", "valid_rare")
+
+_BASE_DATA_URL = "https://huggingface.co/datasets/IVLLab/MultiDialog/resolve/main/"
+
+_AUDIO_ARCHIVE_URL = _BASE_DATA_URL + "data/{subset}/{subset}_chunks_{archive_id:04}.tar.gz"
+
+_META_URL = _BASE_DATA_URL + "metadata/{subset}/{subset}_metadata_{archive_id:04}.jsonl"
+
+logger = datasets.utils.logging.get_logger(__name__)
+
+
+class MultidialogConfig(datasets.BuilderConfig):
+    """BuilderConfig for Multidialog."""
+
+    def __init__(self, name, *args, **kwargs):
+        """BuilderConfig for Multidialog
+        """
+        super().__init__(name=name, *args, **kwargs)
+        self.subsets_to_download = (name,)
+
+
+class Multidialog(datasets.GeneratorBasedBuilder):
+    """
+    """
+
+    VERSION = datasets.Version("1.0.0")
+
+    BUILDER_CONFIGS = [MultidialogConfig(name=subset) for subset in _SUBSETS]
+
+    DEFAULT_WRITER_BATCH_SIZE = 128
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "file_name": datasets.Value("string"),
+                "conv_id": datasets.Value("string"),
+                "utterance_id": datasets.Value("float32"),
+                "audio": datasets.Audio(sampling_rate=16_000),
+                "from": datasets.Value("string"),
+                "value": datasets.Value("string"),
+                "emotion": datasets.Value("string"),
+                "original_full_path": datasets.Value("string"),  # relative path to full audio in original data dirs
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        splits = (self.config.name,)
+
+        n_archives = {
+            "train" : [15, 15], 
+            "test_freq": [1, 1], 
+            "test_rare": [1, 1],
+            "valid_freq": [1, 1], 
+            "valid_rare": [1, 1], 
+        }
+
+        # 2. prepare sharded archives with audio files
+        audio_archives_urls = {
+            split: [
+                    _AUDIO_ARCHIVE_URL.format(subset=split, archive_id=i)
+                    for i in range(n_archives[split][0])
+                ]
+            for split in splits
+        }
+        audio_archives_paths = dl_manager.download(audio_archives_urls)
+        # flatten archives paths from
+        # {"train": {"xs": [path1, path2,], "s": [path3], "m": [path5, path5]}, "dev": {"dev": [path6,...]}, "test": {"test": [...]}}
+        # to {"train": [path1, path2, path3, path4, path5], "dev": [path6, ...], "test": [...]}
+        # audio_archives_paths = _flatten_nested_dict(audio_archives_paths)
+        local_audio_archives_paths = dl_manager.extract(audio_archives_paths) if not dl_manager.is_streaming \
+            else None
+
+        # 3. prepare sharded metadata csv files
+        meta_urls = {
+            split: [
+                    _META_URL.format(subset=split, archive_id=i)
+                    for i in range(n_archives[split][1])
+                ]
+            for split in splits
+        }
+        meta_paths = dl_manager.download_and_extract(meta_urls)
+        # meta_paths = _flatten_nested_dict(meta_paths)
+
+        if self.config.name == "test_freq":
+            return [
+                datasets.SplitGenerator(
+                    name="test_freq",
+                    gen_kwargs={
+                        "audio_archives_iterators": [
+                            dl_manager.iter_archive(archive_path) for archive_path in audio_archives_paths["test_freq"]
+                        ],
+                        "local_audio_archives_paths": local_audio_archives_paths[
+                            "test_freq"] if local_audio_archives_paths else None,
+                        "meta_paths": meta_paths["test_freq"]
+                    },
+                ),
+            ]
+        
+        if self.config.name == "test_rare":
+            return [
+                datasets.SplitGenerator(
+                    name="test_rare",
+                    gen_kwargs={
+                        "audio_archives_iterators": [
+                            dl_manager.iter_archive(archive_path) for archive_path in audio_archives_paths["test_rare"]
+                        ],
+                        "local_audio_archives_paths": local_audio_archives_paths[
+                            "test_rare"] if local_audio_archives_paths else None,
+                        "meta_paths": meta_paths["test_rare"]
+                    },
+                ),
+            ]    
+            
+        if self.config.name == "valid_freq":
+            return [
+                datasets.SplitGenerator(
+                    name="valid_freq",
+                    gen_kwargs={
+                        "audio_archives_iterators": [
+                            dl_manager.iter_archive(archive_path) for archive_path in audio_archives_paths["valid_freq"]
+                        ],
+                        "local_audio_archives_paths": local_audio_archives_paths[
+                            "valid_freq"] if local_audio_archives_paths else None,
+                        "meta_paths": meta_paths["valid_freq"]
+                    },
+                ),
+            ]    
+            
+        if self.config.name == "valid_rare":
+            return [
+                datasets.SplitGenerator(
+                    name="valid_rare",
+                    gen_kwargs={
+                        "audio_archives_iterators": [
+                            dl_manager.iter_archive(archive_path) for archive_path in audio_archives_paths["valid_rare"]
+                        ],
+                        "local_audio_archives_paths": local_audio_archives_paths[
+                            "valid_rare"] if local_audio_archives_paths else None,
+                        "meta_paths": meta_paths["valid_rare"]
+                    },
+                ),
+            ]   
+
+        if self.config.name == "train":
+            return [
+                datasets.SplitGenerator(
+                    name="train",
+                    gen_kwargs={
+                        "audio_archives_iterators": [
+                            dl_manager.iter_archive(archive_path) for archive_path in audio_archives_paths["train"]
+                        ],
+                        "local_audio_archives_paths": local_audio_archives_paths[
+                            "train"] if local_audio_archives_paths else None,
+                        "meta_paths": meta_paths["train"]
+                    },
+                ),
+            ]
+
+    def _generate_examples(self, audio_archives_iterators, local_audio_archives_paths, meta_paths):
+        assert len(audio_archives_iterators) == len(meta_paths)
+        if local_audio_archives_paths:
+            assert len(audio_archives_iterators) == len(local_audio_archives_paths)
+
+        for i, (meta_path, audio_archive_iterator) in enumerate(zip(meta_paths, audio_archives_iterators)):
+            meta_dict = dict()
+            with open(meta_path) as jsonl_file:
+                for line in jsonl_file:
+                    data = json.loads(line.strip())
+                    meta_dict[data["file_name"]] = data
+
+            for audio_path_in_archive, audio_file in audio_archive_iterator:
+                # `audio_path_in_archive` is like "dev_chunks_0000/YOU1000000029_S0000095.wav"
+                audio_filename = os.path.split(audio_path_in_archive)[1]
+                audio_id = audio_filename.split(".wav")[0]
+                audio_meta = meta_dict[audio_path_in_archive]
+                audio_meta["conv_id"] = audio_meta.pop("conv_id")
+                audio_meta["utterance_id"] = audio_meta.pop("utterance_id")
+                audio_meta["from"] = audio_meta.pop("from")
+                audio_meta["value"] = audio_meta.pop("value")
+                audio_meta["emotion"] = audio_meta.pop("emotion")
+                audio_meta["original_full_path"] = audio_meta.pop("audpath")
+
+                path = os.path.join(local_audio_archives_paths[i], audio_path_in_archive) if local_audio_archives_paths \
+                    else audio_path_in_archive
+
+                yield audio_id, {
+                    "audio": {"path": path , "bytes": audio_file.read()},
+                    **{feature: value for feature, value in audio_meta.items() if feature in self.info.features}
+                }

README.md

@@ -0,0 +1,117 @@
+---
+license: cc
+task_categories:
+- audio-to-audio
+- text-generation
+- audio-classification
+- video-classification
+language:
+- en
+size_categories:
+- 1K<n<10K
+# configs:
+#   - config_name: default
+#     data_files:
+#       - split: test_freq
+#         path: test_freq/*, metadata.jsonl
+---
+## **"Let's Go Real Talk: Spoken Dialogue Model for Face-to-Face Conversation", accepted to ACL 2024 (oral presentation).** 
+
+**Audio files have been newly processed and re-uploaded on 7/11/2024. Please download the files again for an updated version.
+
+- **Homepage:** https://multidialog.github.io
+- **Paper:** https://arxiv.org/pdf/2406.07867
+- **Audio Dataset:** https://huggingface.co/datasets/IVLLab/MultiDialog (this repository)
+- **Video Dataset:** https://drive.google.com/drive/u/1/folders/1RPMwVHU34yX0R_HbxAWmxF2EHy961HA3
+
+## Dataset Description
+
+- **Homepage:** https://multidialog.github.io
+- **Repository:** https://github.com/MultiDialog/MultiDialog
+- **Paper:** https://arxiv.org/pdf/2406.07867
+- **Point of Contact:** [jinny960812@kaist.ac.kr](mailto:jinny960812@kaist.ac.kr)
+- **Point of Contact:** [chaewonkim@kaist.ac.kr](mailto:chaewonkim@kaist.ac.kr)
+
+## Dataset Description
+This dataset includes manually annotated metadata linking audio files to transcriptions, emotions, and other attributes. For access to video files of MultiDialog, download them [here](https://drive.google.com/drive/folders/1RPMwVHU34yX0R_HbxAWmxF2EHy961HA3?usp=sharing).
+
+### Dataset Statistics
+|                       | train   | valid_freq | valid_rare | test_freq | test_rare | Total    |
+|-----------------------|---------|---------|---------|---------|---------|----------|
+| \# dialogues          | 7,011   | 448     | 443     | 450     | 381     | 8,733    |
+| \# utterance          | 151,645 | 8,516   | 9,556   | 9,811   | 8,331   | 187,859  |
+| avg \# utterance/dialogue  | 21.63   | 19.01   | 21.57   | 21.80   | 21.87   | 21.51    |
+| avg length/utterance (s)  | 6.50    | 6.23    | 6.40    | 6.99    | 6.49    | 6.51     |
+| avg length/dialogue (min)  | 2.34    | 1.97    | 2.28    | 2.54    | 2.36    | 2.33     |
+| total length (hr)  | 273.93  | 14.74   | 17.00   | 19.04   | 15.01   | 339.71   |
+
+
+### Example Usage
+There are 'train', 'test_freq', 'test_rare', 'valid_freq', and 'valid_rare' splits. Below is an example usage. 
+```python
+from datasets import load_dataset
+
+MultiD = load_dataset("IVLLab/MultiDialog", "valid_freq", use_auth_token=True)
+
+# see structure
+print(MultiD)
+
+# load audio sample on the fly
+audio_input = MultiD["valid_freq"][0]["audio"]  # first decoded audio sample
+transcription = MultiD["valid_freq"][0]["value"]  # first transcription
+```
+
+### Supported Tasks
+- `multimodal dialogue generation` : The dataset can be used to train an end-to-end multimodal 
+- `automatic-speech-recognition`: The dataset can be used to train a model for Automatic Speech Recognition (ASR). 
+- `text-to-speech`: The dataset can also be used to train a model for Text-To-Speech (TTS).
+
+### Languages
+Multidialog contains audio and transcription data in English.
+
+### Gold Emotion Dialogue Subset
+We provide a gold emotion dialogue subset in the MultiDialog dataset, a more reliable resource for studying emotional dynamics in conversations. 
+We classify dialogues from actors that exhibit emotion accuracy above 40% as gold emotion dialogue. Please use dialogues from actors with the following ids: a, b, c, e, f, g, i, j, and k.
+
+
+## Dataset Structure
+### Data Instances
+```python
+{
+    'file_name': 't_ffa55df6-114d-4b36-87a1-7af6b8b63d9b/t_ffa55df6-114d-4b36-87a1-7af6b8b63d9b_0k.wav'
+    'conv_id': 't_ffa55df6-114d-4b36-87a1-7af6b8b63d9b', 
+    'utterance_id': 0,
+    'from': 'gpt', 
+    'audio': 
+        {
+            # in streaming mode 'path' will be 't_ffa55df6-114d-4b36-87a1-7af6b8b63d9b/t_ffa55df6-114d-4b36-87a1-7af6b8b63d9b_0k.wav'
+            'path': '/home/user/.cache/huggingface/datasets/downloads/extracted/cache_id/t_ffa55df6-114d-4b36-87a1-7af6b8b63d9b/t_ffa55df6-114d-4b36-87a1-7af6b8b63d9b_0k.wav, 
+            'array': array([0.0005188 , 0.00085449, 0.00012207, ..., 0.00125122, 0.00076294, 0.00036621], dtype=float32), 
+            'sampling_rate': 16000
+        },
+    'value': 'Are you a football fan?', 
+    'emotion': 'Neutral', 
+    'original_full_path': 'valid_freq/t_ffa55df6-114d-4b36-87a1-7af6b8b63d9b/t_ffa55df6-114d-4b36-87a1-7af6b8b63d9b_0k.wav'
+}
+```
+
+### Data Fields
+* file_name (string) - relative file path to the audio sample in the specific split directory.
+* conv_id (string) - unique identifier for each conversation.
+* utterance_id (float) -  uterrance index.
+* from (string) - who the message is from (human, gpt).
+* audio (Audio feature) - a dictionary containing the path to the audio, the decoded audio array, and the sampling rate.
+In non-streaming mode (default), the path point to the locally extracted audio. In streaming mode, the path is the relative path of an audio.
+segment inside its archive (as files are not downloaded and extracted locally).
+* value (string) - transcription of the utterance.
+* emotion (string) - the emotion of the utterance.
+* original_full_path (string) - the relative path to the original full audio sample in the original data directory.
+
+* speaker_id can be obtained from the last letter of 'file_name' excluding '.wav' (e.g. 'k' in the above example)
+
+Emotion is assigned from the following labels: 
+"Neutral", "Happy", "Fear", "Angry", "Disgusting", "Surprising", "Sad"
+
+
+
+

data/test.txt

@@ -0,0 +1 @@
+as

data/test_freq/test_freq_chunks_0000.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ec5284759faa7170a304356f3c7869e548d3543a4e194e32e52d28f5af01110
+size 1825122123

data/test_rare/test_rare_chunks_0000.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:84cab27c5bf744692612b17b17e4be175164d083bb9c8e2e17fb1f5067c25bc7
+size 1468689271

data/train/train_chunks_0000.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:718424ebd01109335f3b255a2eda7b0f5fbcefe5fb8cc1270cd5a2f46b3bbe6a
+size 1895265575

data/train/train_chunks_0001.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3d9a98eacc4087abb2a3f7d665584a77f29440d5075c3ac0d8b6a40a9ed280ba
+size 1883118444

data/train/train_chunks_0002.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ff7a71d8334dcc299b0a2576637bb6f9da55e8b54e93472cf0dbbc99b41d83ad
+size 1908169544

data/train/train_chunks_0003.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:924f81e9ce20b2675c5cd3df5cc2ab68d9b5baaf0422c39afc680272d8208c8e
+size 1866806858

data/train/train_chunks_0004.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6237140c58f9afe7262f47b00b2c8dbfb99a9285bafc8347290ffc729545c52e
+size 1914687263

data/train/train_chunks_0005.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:91ff86915ab48548a6960c73ecb86f97d97ab44c4fc3b3871bcf8678d6d3f2bc
+size 1889736782

data/train/train_chunks_0006.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:912dcea25ed867bb3851f14de4310d0cd6f5360c0f364f9b20382a27afc90aba
+size 1854343387

data/train/train_chunks_0007.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6376eaf6d67d8a9121677d97d491828345bbe08cb5dff7ed0ed60a92e57e657d
+size 1879781337

data/train/train_chunks_0008.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e981adf50bd115d0f75f52faf787ffb9d963f493339b8e7d424420d643b0fd8c
+size 1842091351

data/train/train_chunks_0009.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b08efe648cfcf2ff48712b61a24c2ac2b75c170615be94913c9df9ad55fdd08a
+size 1854530823

data/train/train_chunks_0010.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3bca0b259c4fbb390885d3d552ddf0590acb4eb2aa3048e1db8f0c1c0e24164f
+size 1902365540

data/train/train_chunks_0011.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e87b99d22202e7bb1f9a02650d5c5c053fcf531bcec0064b714d610265e05398
+size 1874881717

data/train/train_chunks_0012.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:15dc64ff2b5f359d4820e2e7fd143e2c44fc286ce6b23f79471730750871256f
+size 1860686218

data/train/train_chunks_0013.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8e6f15334beca66949b86ac782be12f47c7220871389787889fb393b5b864a9d
+size 1836364333

data/train/train_chunks_0014.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:629fcaad09e86bc092048a99f128ca2dceffa4e56501255d5d02469e5cfaf9c3
+size 4818661

data/valid_freq/valid_freq_chunks_0000.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fcf603623617e0a88dc8970ac7edcd19f6f9bc73e0882dd66085fe0788f24b29
+size 1442356427

data/valid_rare/valid_rare_chunks_0000.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:076a5e7acf17b6fd86ab564c9d6b209141b5954f9abbd68065d56a7c80dfaffb
+size 1701708996

metadata.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8ab9564c34a70cb1d4cfbd5750e92e1106751970bbbcb039b2f599934fbe004
+size 83042114

metadata/test_freq/test_freq_metadata_0000.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:61173bb842c4424ee11687fc7c3172681b2eb3448f4c1ad187423854f29f163b
+size 4359014

metadata/test_rare/test_rare_metadata_0000.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5b64c36180ce08721da871cc2260c453452d1e120b82423b4453a6da0dbb7483
+size 3699801

metadata/train/train_metadata_0000.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:93cd21c8e6cefdc3baf30cabf2c868b44a8ece4763967f8ef6f91b305758d972
+size 4792232

metadata/train/train_metadata_0001.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c463fdcfdc6db65ee5569d3191394330433dd595d078496a919cde7bc44993af
+size 4773356

metadata/train/train_metadata_0002.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2377ce223dbc407a8ae7454e69fc189dd5f4dd87ee02cc05b2bcbd583a7e0863
+size 4806117

metadata/train/train_metadata_0003.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9b42733a7799631ea32c744198eecdb3909055d20464bac60836fe4445bd13fe
+size 4776395

metadata/train/train_metadata_0004.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:12250cb19c778d116fbec656cf8342140f0a6ad97c0e2d21b953a62a3c526c3e
+size 4807083

metadata/train/train_metadata_0005.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f7fb7d8a7ece0f2e49b368524b76e960d64d9956787d7cdd31233811106b09a3
+size 4768047

metadata/train/train_metadata_0006.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c9d0a30703ae1ecfdc55d44f7c15628c0eb635ba2abd7e50e7171103f216b477
+size 4735340

metadata/train/train_metadata_0007.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8a7615d988117658d3436a8e86c2c6e5dd8915b9814e965b26e2b8cc8d74db57
+size 4786890

metadata/train/train_metadata_0008.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:840b30c699cc0006954cbfe6c8ca23b07957199f2002130b336efe1fa5dece0b
+size 4745191

metadata/train/train_metadata_0009.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6a834b84035bf53ce38cb576eab94130bbe11eebcf9d250527b939ae0c06bb1b
+size 4761056

metadata/train/train_metadata_0010.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8a0f94bd19c337dfb7e2513829f332375592b0b6b8300b64311e9b0b88f783fe
+size 4824338

metadata/train/train_metadata_0011.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8eb4dea0f7bb9eb9a308144a7ee4ed9a24bdff5cfa9640117f5d8890ba13bd35
+size 4819604

metadata/train/train_metadata_0012.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0c8d1055bf55959fe68fb86df643584f16cdabb3502ca638762bdc06c20a1dc0
+size 4768700

metadata/train/train_metadata_0013.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:82715c1a13dd314182624b98c0614c1de588645f0cc5610dbca237fb98455594
+size 4734726

metadata/train/train_metadata_0014.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:488bedec31c1bc2e719fcbe12dd2e1d2cf7bb63be69205473b62262d127ca153
+size 9895

metadata/valid_freq/valid_freq_metadata_0000.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:406b75a0b24291385cbe3a8ead432b5eb680d12fc02cb93cb810259318b0d3d4
+size 3802164

metadata/valid_rare/valid_rare_metadata_0000.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e7ec94b3fe0e745f3aaf27ebd88c0b652604c2a43677389cbe3f935856b77ce5
+size 4272165