init

.gitattributes

@@ -0,0 +1,19 @@
+mmchat/dialog_train.jsonl.gz filter=lfs diff=lfs merge=lfs -text
+mmchat/img_url_dev.jsonl.gz filter=lfs diff=lfs merge=lfs -text
+mmchat/img_url_train.jsonl.gz filter=lfs diff=lfs merge=lfs -text
+mmchat/weibo_test.jsonl.gz filter=lfs diff=lfs merge=lfs -text
+mmchat/dialog_dev.jsonl.gz filter=lfs diff=lfs merge=lfs -text
+mmchat/img_url_test.jsonl.gz filter=lfs diff=lfs merge=lfs -text
+mmchat/weibo_dev.jsonl.gz filter=lfs diff=lfs merge=lfs -text
+mmchat/weibo_train.jsonl.gz filter=lfs diff=lfs merge=lfs -text
+mmchat/dialog_test.jsonl.gz filter=lfs diff=lfs merge=lfs -text
+mmchat_hf/human_annotation.jsonl.gz filter=lfs diff=lfs merge=lfs -text
+mmchat_hf/weibo_img_expanded_url.jsonl.gz filter=lfs diff=lfs merge=lfs -text
+mmchat_hf/weibo.jsonl.gz filter=lfs diff=lfs merge=lfs -text
+mmchat_hf/dialog.jsonl.gz filter=lfs diff=lfs merge=lfs -text
+mmchat_raw/dialog_raw.jsonl.gz filter=lfs diff=lfs merge=lfs -text
+mmchat_raw/weibo_img_expanded_url_raw.jsonl.gz filter=lfs diff=lfs merge=lfs -text
+mmchat_raw/weibo_raw.jsonl.gz filter=lfs diff=lfs merge=lfs -text
+mmchat_lccc_filtered/dialog_lccc_flt.jsonl.gz filter=lfs diff=lfs merge=lfs -text
+mmchat_lccc_filtered/weibo_img_expanded_url_lccc_flt.jsonl.gz filter=lfs diff=lfs merge=lfs -text
+mmchat_lccc_filtered/weibo_lccc_flt.jsonl.gz filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,254 @@
+---
+annotations_creators:
+- other
+language_creators:
+- other
+languages:
+- zh
+licenses:
+- mit
+multilinguality:
+- monolingual
+paperswithcode_id: mmchat-multi-modal-chat-dataset-on-social
+pretty_name: "MMChat: Multi-Modal Chat Dataset on Social Media"
+size_categories:
+- 10M<n<100M
+source_datasets:
+- original
+task_categories:
+- conversational
+task_ids:
+- dialogue-generation
+---
+
+# Dataset Card for MMChat
+
+## Table of Contents
+- [Dataset Card for MMChat](#dataset-card-for-mmchat)
+  - [Table of Contents](#table-of-contents)
+  - [Dataset Description](#dataset-description)
+    - [Dataset Summary](#dataset-summary)
+    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+    - [Languages](#languages)
+  - [Dataset Structure](#dataset-structure)
+    - [Data Instances](#data-instances)
+    - [Data Fields](#data-fields)
+    - [Data Splits](#data-splits)
+  - [Dataset Creation](#dataset-creation)
+    - [Curation Rationale](#curation-rationale)
+    - [Source Data](#source-data)
+      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
+      - [Who are the source language producers?](#who-are-the-source-language-producers)
+    - [Annotations](#annotations)
+      - [Annotation process](#annotation-process)
+      - [Who are the annotators?](#who-are-the-annotators)
+    - [Personal and Sensitive Information](#personal-and-sensitive-information)
+  - [Considerations for Using the Data](#considerations-for-using-the-data)
+    - [Social Impact of Dataset](#social-impact-of-dataset)
+    - [Discussion of Biases](#discussion-of-biases)
+    - [Other Known Limitations](#other-known-limitations)
+  - [Additional Information](#additional-information)
+    - [Dataset Curators](#dataset-curators)
+    - [Licensing Information](#licensing-information)
+    - [Citation Information](#citation-information)
+    - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** https://www.zhengyinhe.com/datasets/
+- **Repository:** https://github.com/silverriver/MMChat
+- **Paper:** https://arxiv.org/abs/2108.07154
+
+### Dataset Summary
+
+MMChat is a large-scale dialogue dataset that contains image-grounded dialogues in Chinese. Each dialogue in MMChat is associated with one or more images (maximum 9 images per dialogue). We design various strategies to ensure the quality of the dialogues in MMChat.
+
+MMChat comes with 4 different versions: 
+
+- `mmchat`: The MMChat dataset used in our paper.
+- `mmchat_hf`: Contains human annotation on 100K sessions of dialogues. 
+- `mmchat_raw`: Raw dialogues used to construct MMChat.
+  `mmchat_lccc_filtered`: Raw dialogues filtered using the LCCC dataset.
+
+If you what to use high quality multi-modal dialogues that are closed related to the given images, I suggest you to use the `mmchat_hf` version.
+If you only care about the quality of dialogue texts, I suggest you to use the `mmchat_lccc_filtered` version.
+
+### Supported Tasks and Leaderboards
+
+- dialogue-generation: The dataset can be used to train a model for generating dialogue responses.
+- response-retrieval: The dataset can be used to train a reranker model that can be used to implement a retrieval-based dialogue model.
+
+### Languages
+
+MMChat is in Chinese
+
+MMChat中的对话是中文的
+
+## Dataset Structure
+
+### Data Instances
+
+Several versions of MMChat are available. For `mmchat`, `mmchat_raw`, `mmchat_lccc_filtered`, the following instance applies:
+
+```json
+{
+  "dialog": ["你只拍出了你十分之一的美", "你的头像竟然换了，奥"],
+  "weibo_content": "分享图片",
+  "imgs": ["https://wx4.sinaimg.cn/mw2048/d716a6e2ly1fmug2w2l9qj21o02yox6p.jpg"]
+}
+```
+
+For `mmchat_hf`, the following instance applies:
+
+```json
+{
+  "dialog": ["白百合", "啊？", "有点像", "还好吧哈哈哈牙像", "有男盆友没呢", "还没", "和你说话呢。没回我"],
+  "weibo_content": "补一张昨天礼仪的照片",
+  "imgs": ["https://ww2.sinaimg.cn/mw2048/005Co9wdjw1eyoz7ib9n5j307w0bu3z5.jpg"],
+  "labels": {
+    "image_qualified": true, 
+    "dialog_qualified": true, 
+    "dialog_image_related": true
+  }
+}
+```
+
+### Data Fields
+
+- `dialog` (list of strings): List of utterances consisting of a dialogue.
+- `weibo_content` (string): Weibo content of the dialogue.
+- `imgs` (list of strings): List of URLs of images.
+- `labels` (dict): Human-annotated labels of the dialogue.
+- `image_qualified` (bool): Whether the image is of high quality.
+- `dialog_qualified` (bool): Whether the dialogue is of high quality.
+- `dialog_image_related` (bool): Whether the dialogue is related to the image.
+
+### Data Splits
+
+For `mmchat`, we provide the following splits:
+
+|train|valid|test|
+|---:|---:|---:|
+|115,842 | 4,000 | 1,000 |
+
+For other versions, we do not provide the offical split.
+More stastics are listed here:
+
+| `mmchat`                   | Count   |
+|--------------------------------------|--------:|
+| Sessions                             | 120.84 K |
+| Sessions with more than 4 utterances |  17.32 K |
+| Utterances                           | 314.13 K |
+| Images                               |  198.82 K |
+| Avg. utterance per session           |  2.599 |
+| Avg. image per session               |  2.791 |
+| Avg. character per utterance         |  8.521 |
+
+| `mmchat_hf`                     | Count   |
+|--------------------------------------|--------:|
+| Sessions                             | 19.90 K |
+| Sessions with more than 4 utterances | 8.91 K |
+| Totally annotated sessions           | 100.01 K |
+| Utterances                           | 81.06 K |
+| Images                               | 52.66K |
+| Avg. utterance per session           | 4.07 |
+| Avg. image per session               | 2.70 |
+| Avg. character per utterance         | 11.93 |
+
+| `mmchat_raw`                     | Count    |
+|--------------------------------------|---------:|
+| Sessions                             | 4.257 M  |
+| Sessions with more than 4 utterances | 2.304 M  |
+| Utterances                           | 18.590 M |
+| Images                               | 4.874 M  |
+| Avg. utterance per session           | 4.367    |
+| Avg. image per session               | 1.670    |
+| Avg. character per utterance         | 14.104   |
+
+| `mmchat_lccc_filtered`                     | Count   |
+|--------------------------------------|--------:|
+| Sessions                             | 492.6 K |
+| Sessions with more than 4 utterances | 208.8 K |
+| Utterances                           | 1.986 M |
+| Images                               | 1.066 M |
+| Avg. utterance per session           | 4.031   |
+| Avg. image per session               | 2.514   |
+| Avg. character per utterance         | 11.336  |
+
+## Dataset Creation
+
+### Curation Rationale
+
+[Needs More Information]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[Needs More Information]
+
+#### Who are the source language producers?
+
+[Needs More Information]
+
+### Annotations
+
+#### Annotation process
+
+[Needs More Information]
+
+#### Who are the annotators?
+
+[Needs More Information]
+
+### Personal and Sensitive Information
+
+[Needs More Information]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[Needs More Information]
+
+### Discussion of Biases
+
+[Needs More Information]
+
+### Other Known Limitations
+
+[Needs More Information]
+
+## Additional Information
+
+### Dataset Curators
+
+[Needs More Information]
+
+### Licensing Information
+
+[Needs More Information]
+
+### Citation Information
+
+```
+@inproceedings{zheng2022MMChat,
+  author    = {Zheng, Yinhe and Chen, Guanyi and Liu, Xin and Sun, Jian},
+  title     = {MMChat: Multi-Modal Chat Dataset on Social Media},
+  booktitle = {Proceedings of The 13th Language Resources and Evaluation Conference},
+  year      = {2022},
+  publisher = {European Language Resources Association},
+}
+
+@inproceedings{wang2020chinese,
+  title={A Large-Scale Chinese Short-Text Conversation Dataset},
+  author={Wang, Yida and Ke, Pei and Zheng, Yinhe and Huang, Kaili and Jiang, Yong and Zhu, Xiaoyan and Huang, Minlie},
+  booktitle={NLPCC},
+  year={2020},
+  url={https://arxiv.org/abs/2008.03946}
+}
+```
+
+### Contributions
+
+Thanks to [Yinhe Zheng](https://github.com/silverriver) for adding this dataset.

mmchat.py

@@ -0,0 +1,253 @@
+# 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.
+"""
+MMChat is a large-scale dialogue dataset that contains image-grounded dialogues in Chinese.
+Each dialogue in MMChat is associated with one or more images (maximum 9 images per dialogue).
+We design various strategies to ensure the quality of the dialogues in MMChat.
+"""
+
+import json
+import os
+
+import datasets
+
+
+_CITATION = """\
+@inproceedings{zheng2022MMChat,
+author    = {Zheng, Yinhe and Chen, Guanyi and Liu, Xin and Sun, Jian},
+title     = {MMChat: Multi-Modal Chat Dataset on Social Media},
+booktitle = {Proceedings of The 13th Language Resources and Evaluation Conference},
+year      = {2022},
+publisher = {European Language Resources Association},
+}
+
+@inproceedings{wang2020chinese,
+  title     = {A Large-Scale Chinese Short-Text Conversation Dataset},
+  author    = {Wang, Yida and Ke, Pei and Zheng, Yinhe and Huang, Kaili and Jiang, Yong and Zhu, Xiaoyan and Huang, Minlie},
+  booktitle = {NLPCC},
+  year      = {2020},
+  url       = {https://arxiv.org/abs/2008.03946}
+}
+"""
+
+_DESCRIPTION = """\
+MMChat is a large-scale dialogue dataset that contains image-grounded dialogues in Chinese.
+Each dialogue in MMChat is associated with one or more images (maximum 9 images per dialogue).
+We design various strategies to ensure the quality of the dialogues in MMChat.
+"""
+
+_HOMEPAGE = "https://github.com/silverriver/MMChat"
+
+_LICENSE = "MIT"
+
+_URLS = {
+    "mmchat": ["https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat.tgz"],
+    "mmchat_hf": ["https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_hf.tgz"],
+    "mmchat_raw": [
+        "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_raw/MMChat_split0.tgz",
+        "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_raw/MMChat_split1.tgz",
+        "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_raw/MMChat_split2.tgz",
+        "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_raw/MMChat_split3.tgz",
+        "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_raw/MMChat_split4.tgz",
+        "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_raw/MMChat_split5.tgz",
+        "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_raw/MMChat_split6.tgz",
+        "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_raw/MMChat_split7.tgz",
+        "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_raw/MMChat_split8.tgz",
+    ],
+    "mmchat_lccc_filtered": [
+        "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_lccc_filtered/MMChat_lccc_flt_split0.tgz",
+        "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_lccc_filtered/MMChat_lccc_flt_split1.tgz",
+        "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_lccc_filtered/MMChat_lccc_flt_split2.tgz",
+        "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_lccc_filtered/MMChat_lccc_flt_split3.tgz",
+        "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_lccc_filtered/MMChat_lccc_flt_split4.tgz",
+        "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_lccc_filtered/MMChat_lccc_flt_split5.tgz",
+        "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_lccc_filtered/MMChat_lccc_flt_split6.tgz",
+        "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_lccc_filtered/MMChat_lccc_flt_split7.tgz",
+        "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_lccc_filtered/MMChat_lccc_flt_split8.tgz",
+    ],
+}
+
+
+class MMChat(datasets.GeneratorBasedBuilder):
+    """Multi-Modal Chat Dataset."""
+
+    VERSION = datasets.Version("1.0.0")
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="mmchat", version=VERSION, description="The MMChat dataset"),
+        datasets.BuilderConfig(name="mmchat_hf", version=VERSION, description="Human filtered version of MMChat"),
+        datasets.BuilderConfig(name="mmchat_raw", version=VERSION, description="Raw dialogues in MMChat"),
+        datasets.BuilderConfig(name="mmchat_lccc_filtered", version=VERSION, description="LCCC filtered MMChat"),
+    ]
+
+    DEFAULT_CONFIG_NAME = "mmchat"
+
+    def _info(self):
+        if self.config.name in ["mmchat", "mmchat_raw", "mmchat_lccc_filtered"]:
+            features = datasets.Features(
+                {
+                    "dialog": [datasets.Value("string")],
+                    "weibo_content": datasets.Value("string"),
+                    "imgs": [datasets.Value("string")],
+                }
+            )
+        else:
+            features = datasets.Features(
+                {
+                    "dialog": [datasets.Value("string")],
+                    "weibo_content": datasets.Value("string"),
+                    "imgs": [datasets.Value("string")],
+                    "labels": {
+                        "image_qualified": datasets.Value("bool"),
+                        "dialog_qualified": datasets.Value("bool"),
+                        "dialog_image_related": datasets.Value("bool"),
+                    },
+                }
+            )
+        return datasets.DatasetInfo(
+            # This is the description that will appear on the datasets page.
+            description=_DESCRIPTION,
+            # This defines the different columns of the dataset and their types
+            features=features,  # Here we define them above because they are different between the two configurations
+            # If there's a common (input, target) tuple from the features, uncomment supervised_keys line below and
+            # specify them. They'll be used if as_supervised=True in builder.as_dataset.
+            # supervised_keys=("sentence", "label"),
+            # Homepage of the dataset for documentation
+            homepage=_HOMEPAGE,
+            # License for the dataset if available
+            license=_LICENSE,
+            # Citation for the dataset
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        urls = _URLS[self.config.name]
+        data_dir = dl_manager.download_and_extract(urls)
+        if self.config.name == "mmchat":
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TRAIN,
+                    gen_kwargs={
+                        "dialog_files": [os.path.join(i, "dialog_train.jsonl") for i in data_dir],
+                        "weibo_files": [os.path.join(i, "weibo_train.jsonl") for i in data_dir],
+                        "img_files": [os.path.join(i, "img_url_train.jsonl") for i in data_dir],
+                        "label_files": [],
+                    },
+                ),
+                datasets.SplitGenerator(
+                    name=datasets.Split.TEST,
+                    gen_kwargs={
+                        "dialog_files": [os.path.join(i, "dialog_test.jsonl") for i in data_dir],
+                        "weibo_files": [os.path.join(i, "weibo_test.jsonl") for i in data_dir],
+                        "img_files": [os.path.join(i, "img_url_test.jsonl") for i in data_dir],
+                        "label_files": [],
+                    },
+                ),
+                datasets.SplitGenerator(
+                    name=datasets.Split.VALIDATION,
+                    gen_kwargs={
+                        "dialog_files": [os.path.join(i, "dialog_dev.jsonl") for i in data_dir],
+                        "weibo_files": [os.path.join(i, "weibo_dev.jsonl") for i in data_dir],
+                        "img_files": [os.path.join(i, "img_url_dev.jsonl") for i in data_dir],
+                        "label_files": [],
+                    },
+                ),
+            ]
+        elif self.config.name == "mmchat_hf":
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TRAIN,
+                    gen_kwargs={
+                        "dialog_files": [os.path.join(i, "dialog.jsonl") for i in data_dir],
+                        "weibo_files": [os.path.join(i, "weibo.jsonl") for i in data_dir],
+                        "img_files": [os.path.join(i, "weibo_img_expanded_url.jsonl") for i in data_dir],
+                        "label_files": [os.path.join(i, "human_annotation.jsonl") for i in data_dir],
+                    },
+                ),
+            ]
+        elif self.config.name == "mmchat_lccc_filtered":
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TRAIN,
+                    gen_kwargs={
+                        "dialog_files": [os.path.join(i, "dialog_lccc_flt.jsonl") for i in data_dir],
+                        "weibo_files": [os.path.join(i, "weibo_lccc_flt.jsonl") for i in data_dir],
+                        "img_files": [os.path.join(i, "weibo_img_expanded_url_lccc_flt.jsonl") for i in data_dir],
+                        "label_files": [],
+                    },
+                ),
+            ]
+        elif self.config.name == "mmchat_raw":
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TRAIN,
+                    gen_kwargs={
+                        "dialog_files": [os.path.join(i, "dialog.jsonl") for i in data_dir],
+                        "weibo_files": [os.path.join(i, "weibo.jsonl") for i in data_dir],
+                        "img_files": [os.path.join(i, "weibo_img_expanded_url.jsonl") for i in data_dir],
+                        "label_files": [],
+                    },
+                ),
+            ]
+
+    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
+    def _generate_examples(self, dialog_files, weibo_files, img_files, label_files):
+        id = 0
+        assert len(dialog_files) == len(weibo_files) == len(img_files)
+        if len(label_files) == 0:
+            label_files = [None] * len(dialog_files)
+        for dialog_file, weibo_file, img_file, label_file in zip(dialog_files, weibo_files, img_files, label_files):
+            if label_file is not None:
+                label_f = open(label_file, encoding="utf-8")
+
+            with open(dialog_file, encoding="utf-8") as dialog_f, open(weibo_file, encoding="utf-8") as weibo_f, open(
+                img_file, encoding="utf-8"
+            ) as img_f:
+                while True:
+                    try:
+                        dialog_line = dialog_f.readline().strip()
+                        if len(dialog_line) == 0:
+                            break
+                        dialog = json.loads(dialog_line)  # dialog_f.readline())
+                        weibo = json.loads(weibo_f.readline())
+                        if self.config.name == "mmchat":
+                            imgs = img_f.readline().strip().split(";")
+                        else:
+                            imgs = json.loads(img_f.readline())["weibo_img"].split(";")
+
+                        if self.config.name == "mmchat_hf":
+                            label = json.loads(label_f.readline())
+                            # Yields examples as (key, example) tuples
+                            yield id, {
+                                "dialog": dialog,
+                                "weibo_content": weibo,
+                                "imgs": imgs,
+                                "labels": {
+                                    "image_qualified": True if label["image_quality"] == "1" else False,
+                                    "dialog_qualified": True if label["dialog_quality"] == "1" else False,
+                                    "dialog_image_related": True
+                                    if label["dialog_image_relativeness"] == "1"
+                                    else False,
+                                },
+                            }
+                        else:
+                            yield id, {
+                                "dialog": dialog,
+                                "weibo_content": weibo,
+                                "imgs": imgs,
+                            }
+                        id += 1
+                    except EOFError:
+                        break
+            if label_file is not None:
+                label_f.close()

mmchat/dialog_dev.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf241f920b088b8e1d1bfd3c62d41cca9e76d60f9d35dc0da71d4ca4ee2855b4
+size 35976

mmchat/dialog_test.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f285407f893abc385588160a674c6ad846bce93f0a821acf093bcd8a8d40e685
+size 141556

mmchat/dialog_train.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7dd8948dbbd7d3865a69df7c737b3f2c530d57258ca378ab74aca1f4587d7fb5
+size 4001249

mmchat/img_url_dev.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7322d42af425820fc4cdb570a9400bc2623f726d304131ab2494fc11779309eb
+size 46607

mmchat/img_url_test.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9db4713683a665764085e7480165a7f7c038b2c6239d1c744976298363a5579e
+size 188377

mmchat/img_url_train.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9337c9e96497f0f8d6c01ee30afd7c1feaafd2f669661fe48052f41e3baf7aeb
+size 5301433

mmchat/weibo_dev.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7f6cef2b570a3aa187d823ab5330806e79f9dd66e4ade4cae78ef7815764d2ee
+size 101

mmchat/weibo_test.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3eaabda17b2e4df3985f6f302f2581ed818a03ae04cc7112f7feb1fcddc4c47b
+size 189

mmchat/weibo_train.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cbcc11ccea2d9dd75047c7fe80ecc3eceaddf555eb2136c5cae78725cb44ed54
+size 3441

mmchat_hf/dialog.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:15fcf7756ec5ca39398a4ab9d68d14c403b1f4273781130f90dacb55a862c58a
+size 6826130

mmchat_hf/human_annotation.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6d34e113027e86f44af220c2c9ce09f909aaff045cd94fd5886b79a972b6e0b4
+size 358333

mmchat_hf/weibo.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4031029e1abbdca3fa71755796a52f8f6788ae77390f2b7107822b8eb792bcb0
+size 7084046

mmchat_hf/weibo_img_expanded_url.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:58fccfe34603c92dcb435dde7f7f77f7468dba2df369a412a927d65041f18724
+size 7781846

mmchat_lccc_filtered/dialog_lccc_flt.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:54ad76f67269f1adf3a974acfb71f79299283b1bdefbdb5e2928b8d52b53a64d
+size 33623526

mmchat_lccc_filtered/weibo_img_expanded_url_lccc_flt.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ffd6c8420ef37e6b5a2e88f054f0d5ae849617dea501c3342a512e63ba12a59
+size 38226987

mmchat_lccc_filtered/weibo_lccc_flt.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d4900fd5f711fdcc752a60e84edcb6e16fcb9f2100f8b900ccf88af9a780816a
+size 34990489

mmchat_raw/dialog_raw.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8d36cd302c42eee9a9d39032ff0e1d05975bd5aa2030eecd595e2e2964f6cadf
+size 389104370

mmchat_raw/weibo_img_expanded_url_raw.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d0deae3fe9b2bced80ba424fa9110a4e52b583f5823723832ac628e943e0a228
+size 268962111

mmchat_raw/weibo_raw.jsonl.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d2616195f89040a0cb81d16261293f9ff002d2eb7981eebde2f631069f202521
+size 329066732