Upload sentence-transformers/all-MiniLM-L6-v2 ctranslate fp16 weights

.gitattributes

@@ -1,34 +1,27 @@
 *.7z filter=lfs diff=lfs merge=lfs -text
 *.arrow filter=lfs diff=lfs merge=lfs -text
 *.bin 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
-*.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
+saved_model/**/* 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
+*.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,221 @@
+---
+pipeline_tag: sentence-similarity
+tags:
+- ctranslate2
+- int8
+- float16
+- sentence-transformers
+- feature-extraction
+- sentence-similarity
+language: en
+license: apache-2.0
+datasets:
+- s2orc
+- flax-sentence-embeddings/stackexchange_xml
+- ms_marco
+- gooaq
+- yahoo_answers_topics
+- code_search_net
+- search_qa
+- eli5
+- snli
+- multi_nli
+- wikihow
+- natural_questions
+- trivia_qa
+- embedding-data/sentence-compression
+- embedding-data/flickr30k-captions
+- embedding-data/altlex
+- embedding-data/simple-wiki
+- embedding-data/QQP
+- embedding-data/SPECTER
+- embedding-data/PAQ_pairs
+- embedding-data/WikiAnswers
+
+---
+# # Fast-Inference with Ctranslate2
+Speedup inference while reducing memory by 2x-4x using int8 inference in C++ on CPU or GPU.
+
+quantized version of [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2)
+```bash
+pip install hf-hub-ctranslate2>=2.0.8 ctranslate2>=3.16.0
+```
+Converted on 2023-06-15 using
+```
+ct2-transformers-converter --model sentence-transformers/all-MiniLM-L6-v2 --output_dir ~/tmp-ct2fast-all-MiniLM-L6-v2 --force --copy_files config_sentence_transformers.json tokenizer.json modules.json README.md tokenizer_config.json sentence_bert_config.json data_config.json vocab.txt special_tokens_map.json .gitattributes --quantization int8_float16 --trust_remote_code
+```
+
+Checkpoint compatible to [ctranslate2>=3.16.0](https://github.com/OpenNMT/CTranslate2)
+and [hf-hub-ctranslate2>=2.0.8](https://github.com/michaelfeil/hf-hub-ctranslate2)
+- `compute_type=int8_float16` for `device="cuda"`
+- `compute_type=int8`  for `device="cpu"`
+
+```python
+from transformers import AutoTokenizer
+
+model_name = "michaelfeil/ct2fast-all-MiniLM-L6-v2"
+
+from hf_hub_ctranslate2 import EncoderCT2fromHfHub
+model = EncoderCT2fromHfHub(
+        # load in int8 on CUDA
+        model_name_or_path=model_name,
+        device="cuda",
+        compute_type="int8_float16",
+        # tokenizer=AutoTokenizer.from_pretrained("{ORG}/{NAME}")
+)
+outputs = model.generate(
+    text=["def fibonnaci(", "User: How are you doing? Bot:"],
+    max_length=64,
+)
+print(outputs.shape, outputs)
+```
+
+# Licence and other remarks:
+This is just a quantized version. Licence conditions are intended to be idential to original huggingface repo.
+
+# Original description
+    
+
+
+# all-MiniLM-L6-v2
+This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
+
+## Usage (Sentence-Transformers)
+Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
+
+```
+pip install -U sentence-transformers
+```
+
+Then you can use the model like this:
+```python
+from sentence_transformers import SentenceTransformer
+sentences = ["This is an example sentence", "Each sentence is converted"]
+
+model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')
+embeddings = model.encode(sentences)
+print(embeddings)
+```
+
+## Usage (HuggingFace Transformers)
+Without [sentence-transformers](https://www.SBERT.net), you can use the model like this: First, you pass your input through the transformer model, then you have to apply the right pooling-operation on-top of the contextualized word embeddings.
+
+```python
+from transformers import AutoTokenizer, AutoModel
+import torch
+import torch.nn.functional as F
+
+#Mean Pooling - Take attention mask into account for correct averaging
+def mean_pooling(model_output, attention_mask):
+    token_embeddings = model_output[0] #First element of model_output contains all token embeddings
+    input_mask_expanded = attention_mask.unsqueeze(-1).expand(token_embeddings.size()).float()
+    return torch.sum(token_embeddings * input_mask_expanded, 1) / torch.clamp(input_mask_expanded.sum(1), min=1e-9)
+
+
+# Sentences we want sentence embeddings for
+sentences = ['This is an example sentence', 'Each sentence is converted']
+
+# Load model from HuggingFace Hub
+tokenizer = AutoTokenizer.from_pretrained('sentence-transformers/all-MiniLM-L6-v2')
+model = AutoModel.from_pretrained('sentence-transformers/all-MiniLM-L6-v2')
+
+# Tokenize sentences
+encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')
+
+# Compute token embeddings
+with torch.no_grad():
+    model_output = model(**encoded_input)
+
+# Perform pooling
+sentence_embeddings = mean_pooling(model_output, encoded_input['attention_mask'])
+
+# Normalize embeddings
+sentence_embeddings = F.normalize(sentence_embeddings, p=2, dim=1)
+
+print("Sentence embeddings:")
+print(sentence_embeddings)
+```
+
+## Evaluation Results
+
+For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name=sentence-transformers/all-MiniLM-L6-v2)
+
+------
+
+## Background
+
+The project aims to train sentence embedding models on very large sentence level datasets using a self-supervised 
+contrastive learning objective. We used the pretrained [`nreimers/MiniLM-L6-H384-uncased`](https://huggingface.co/nreimers/MiniLM-L6-H384-uncased) model and fine-tuned in on a 
+1B sentence pairs dataset. We use a contrastive learning objective: given a sentence from the pair, the model should predict which out of a set of randomly sampled other sentences, was actually paired with it in our dataset.
+
+We developped this model during the 
+[Community week using JAX/Flax for NLP & CV](https://discuss.huggingface.co/t/open-to-the-community-community-week-using-jax-flax-for-nlp-cv/7104), 
+organized by Hugging Face. We developped this model as part of the project:
+[Train the Best Sentence Embedding Model Ever with 1B Training Pairs](https://discuss.huggingface.co/t/train-the-best-sentence-embedding-model-ever-with-1b-training-pairs/7354). We benefited from efficient hardware infrastructure to run the project: 7 TPUs v3-8, as well as intervention from Googles Flax, JAX, and Cloud team member about efficient deep learning frameworks.
+
+## Intended uses
+
+Our model is intented to be used as a sentence and short paragraph encoder. Given an input text, it ouptuts a vector which captures 
+the semantic information. The sentence vector may be used for information retrieval, clustering or sentence similarity tasks.
+
+By default, input text longer than 256 word pieces is truncated.
+
+
+## Training procedure
+
+### Pre-training 
+
+We use the pretrained [`nreimers/MiniLM-L6-H384-uncased`](https://huggingface.co/nreimers/MiniLM-L6-H384-uncased) model. Please refer to the model card for more detailed information about the pre-training procedure.
+
+### Fine-tuning 
+
+We fine-tune the model using a contrastive objective. Formally, we compute the cosine similarity from each possible sentence pairs from the batch.
+We then apply the cross entropy loss by comparing with true pairs.
+
+#### Hyper parameters
+
+We trained ou model on a TPU v3-8. We train the model during 100k steps using a batch size of 1024 (128 per TPU core).
+We use a learning rate warm up of 500. The sequence length was limited to 128 tokens. We used the AdamW optimizer with
+a 2e-5 learning rate. The full training script is accessible in this current repository: `train_script.py`.
+
+#### Training data
+
+We use the concatenation from multiple datasets to fine-tune our model. The total number of sentence pairs is above 1 billion sentences.
+We sampled each dataset given a weighted probability which configuration is detailed in the `data_config.json` file.
+
+
+| Dataset                                                  | Paper                                    | Number of training tuples  |
+|--------------------------------------------------------|:----------------------------------------:|:--------------------------:|
+| [Reddit comments (2015-2018)](https://github.com/PolyAI-LDN/conversational-datasets/tree/master/reddit) | [paper](https://arxiv.org/abs/1904.06472) | 726,484,430 |
+| [S2ORC](https://github.com/allenai/s2orc) Citation pairs (Abstracts) | [paper](https://aclanthology.org/2020.acl-main.447/) | 116,288,806 |
+| [WikiAnswers](https://github.com/afader/oqa#wikianswers-corpus) Duplicate question pairs | [paper](https://doi.org/10.1145/2623330.2623677) | 77,427,422 |
+| [PAQ](https://github.com/facebookresearch/PAQ) (Question, Answer) pairs | [paper](https://arxiv.org/abs/2102.07033) | 64,371,441 |
+| [S2ORC](https://github.com/allenai/s2orc) Citation pairs (Titles) | [paper](https://aclanthology.org/2020.acl-main.447/) | 52,603,982 |
+| [S2ORC](https://github.com/allenai/s2orc) (Title, Abstract) | [paper](https://aclanthology.org/2020.acl-main.447/) | 41,769,185 |
+| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) (Title, Body) pairs  | - | 25,316,456 |
+| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) (Title+Body, Answer) pairs  | - | 21,396,559 |
+| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) (Title, Answer) pairs  | - | 21,396,559 |
+| [MS MARCO](https://microsoft.github.io/msmarco/) triplets | [paper](https://doi.org/10.1145/3404835.3462804) | 9,144,553 |
+| [GOOAQ: Open Question Answering with Diverse Answer Types](https://github.com/allenai/gooaq) | [paper](https://arxiv.org/pdf/2104.08727.pdf) | 3,012,496 |
+| [Yahoo Answers](https://www.kaggle.com/soumikrakshit/yahoo-answers-dataset) (Title, Answer) | [paper](https://proceedings.neurips.cc/paper/2015/hash/250cf8b51c773f3f8dc8b4be867a9a02-Abstract.html) | 1,198,260 |
+| [Code Search](https://huggingface.co/datasets/code_search_net) | - | 1,151,414 |
+| [COCO](https://cocodataset.org/#home) Image captions | [paper](https://link.springer.com/chapter/10.1007%2F978-3-319-10602-1_48) | 828,395|
+| [SPECTER](https://github.com/allenai/specter) citation triplets | [paper](https://doi.org/10.18653/v1/2020.acl-main.207) | 684,100 |
+| [Yahoo Answers](https://www.kaggle.com/soumikrakshit/yahoo-answers-dataset) (Question, Answer) | [paper](https://proceedings.neurips.cc/paper/2015/hash/250cf8b51c773f3f8dc8b4be867a9a02-Abstract.html) | 681,164 |
+| [Yahoo Answers](https://www.kaggle.com/soumikrakshit/yahoo-answers-dataset) (Title, Question) | [paper](https://proceedings.neurips.cc/paper/2015/hash/250cf8b51c773f3f8dc8b4be867a9a02-Abstract.html) | 659,896 |
+| [SearchQA](https://huggingface.co/datasets/search_qa) | [paper](https://arxiv.org/abs/1704.05179) | 582,261 |
+| [Eli5](https://huggingface.co/datasets/eli5) | [paper](https://doi.org/10.18653/v1/p19-1346) | 325,475 |
+| [Flickr 30k](https://shannon.cs.illinois.edu/DenotationGraph/) | [paper](https://transacl.org/ojs/index.php/tacl/article/view/229/33) | 317,695 |
+| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) Duplicate questions (titles) | | 304,525 |
+| AllNLI ([SNLI](https://nlp.stanford.edu/projects/snli/) and [MultiNLI](https://cims.nyu.edu/~sbowman/multinli/) | [paper SNLI](https://doi.org/10.18653/v1/d15-1075), [paper MultiNLI](https://doi.org/10.18653/v1/n18-1101) | 277,230 | 
+| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) Duplicate questions (bodies) | | 250,519 |
+| [Stack Exchange](https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml) Duplicate questions (titles+bodies) | | 250,460 |
+| [Sentence Compression](https://github.com/google-research-datasets/sentence-compression) | [paper](https://www.aclweb.org/anthology/D13-1155/) | 180,000 |
+| [Wikihow](https://github.com/pvl/wikihow_pairs_dataset) | [paper](https://arxiv.org/abs/1810.09305) | 128,542 |
+| [Altlex](https://github.com/chridey/altlex/) | [paper](https://aclanthology.org/P16-1135.pdf) | 112,696 |
+| [Quora Question Triplets](https://quoradata.quora.com/First-Quora-Dataset-Release-Question-Pairs) | - | 103,663 |
+| [Simple Wikipedia](https://cs.pomona.edu/~dkauchak/simplification/) | [paper](https://www.aclweb.org/anthology/P11-2117/) | 102,225 |
+| [Natural Questions (NQ)](https://ai.google.com/research/NaturalQuestions) | [paper](https://transacl.org/ojs/index.php/tacl/article/view/1455) | 100,231 |
+| [SQuAD2.0](https://rajpurkar.github.io/SQuAD-explorer/) | [paper](https://aclanthology.org/P18-2124.pdf) | 87,599 |
+| [TriviaQA](https://huggingface.co/datasets/trivia_qa) | - | 73,346 |
+| **Total** | | **1,170,060,424** |

config.json

@@ -0,0 +1,6 @@
+{
+  "bos_token": "<s>",
+  "eos_token": "</s>",
+  "layer_norm_epsilon": 1e-12,
+  "unk_token": "[UNK]"
+}

config_sentence_transformers.json

@@ -0,0 +1,7 @@
+{
+  "__version__": {
+    "sentence_transformers": "2.0.0",
+    "transformers": "4.6.1",
+    "pytorch": "1.8.1"
+  }
+}

data_config.json

@@ -0,0 +1,1452 @@
+[
+    {
+        "name": "stackexchange_title_body/skeptics.stackexchange.com.jsonl.gz",
+        "lines": 10009,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/islam.stackexchange.com.jsonl.gz",
+        "lines": 10052,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_Title_Answer/islam.stackexchange.com.jsonl.gz",
+        "lines": 10052,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/anime.stackexchange.com.jsonl.gz",
+        "lines": 10131,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_Title_Answer/anime.stackexchange.com.jsonl.gz",
+        "lines": 10131,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_title_body/writers.stackexchange.com.jsonl.gz",
+        "lines": 10157,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_title_body/astronomy.stackexchange.com.jsonl.gz",
+        "lines": 10462,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_title_body/vi.stackexchange.com.jsonl.gz",
+        "lines": 10551,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/french.stackexchange.com.jsonl.gz",
+        "lines": 10578,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_Title_Answer/french.stackexchange.com.jsonl.gz",
+        "lines": 10578,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_title_body/cstheory.stackexchange.com.jsonl.gz",
+        "lines": 10642,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/civicrm.stackexchange.com.jsonl.gz",
+        "lines": 10648,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_Title_Answer/civicrm.stackexchange.com.jsonl.gz",
+        "lines": 10648,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/expressionengine.stackexchange.com.jsonl.gz",
+        "lines": 10742,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_Title_Answer/expressionengine.stackexchange.com.jsonl.gz",
+        "lines": 10742,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_title_body/engineering.stackexchange.com.jsonl.gz",
+        "lines": 10753,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/history.stackexchange.com.jsonl.gz",
+        "lines": 10766,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_Title_Answer/history.stackexchange.com.jsonl.gz",
+        "lines": 10766,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_title_body/french.stackexchange.com.jsonl.gz",
+        "lines": 10794,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/politics.stackexchange.com.jsonl.gz",
+        "lines": 11047,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_Title_Answer/politics.stackexchange.com.jsonl.gz",
+        "lines": 11047,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_title_body/economics.stackexchange.com.jsonl.gz",
+        "lines": 11115,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/craftcms.stackexchange.com.jsonl.gz",
+        "lines": 11236,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_Title_Answer/craftcms.stackexchange.com.jsonl.gz",
+        "lines": 11236,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_title_body/anime.stackexchange.com.jsonl.gz",
+        "lines": 11444,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/christianity.stackexchange.com.jsonl.gz",
+        "lines": 11498,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_Title_Answer/christianity.stackexchange.com.jsonl.gz",
+        "lines": 11498,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/softwarerecs.stackexchange.com.jsonl.gz",
+        "lines": 11761,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_Title_Answer/softwarerecs.stackexchange.com.jsonl.gz",
+        "lines": 11761,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/boardgames.stackexchange.com.jsonl.gz",
+        "lines": 11805,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_Title_Answer/boardgames.stackexchange.com.jsonl.gz",
+        "lines": 11805,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_title_body/islam.stackexchange.com.jsonl.gz",
+        "lines": 11853,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_title_body/expressionengine.stackexchange.com.jsonl.gz",
+        "lines": 11866,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_title_body/politics.stackexchange.com.jsonl.gz",
+        "lines": 11894,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_title_body/history.stackexchange.com.jsonl.gz",
+        "lines": 12021,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_title_body/christianity.stackexchange.com.jsonl.gz",
+        "lines": 12108,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_title_body/boardgames.stackexchange.com.jsonl.gz",
+        "lines": 12149,
+        "weight": 1
+    },
+    {
+        "name": "flickr30k_captions.jsonl.gz",
+        "lines": 317695,
+        "weight": 1
+    },
+    {
+        "name": "coco_captions.jsonl.gz",
+        "lines": 828395,
+        "weight": 1
+    },
+    {
+        "name": "codesearchnet.jsonl.gz",
+        "lines": 1151414,
+        "weight": 1
+    },
+    {
+        "name": "stackexchange_title_body/civicrm.stackexchange.com.jsonl.gz",
+        "lines": 12543,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/craftcms.stackexchange.com.jsonl.gz",
+        "lines": 12574,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/networkengineering.stackexchange.com.jsonl.gz",
+        "lines": 12590,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/networkengineering.stackexchange.com.jsonl.gz",
+        "lines": 12590,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/space.stackexchange.com.jsonl.gz",
+        "lines": 12893,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/space.stackexchange.com.jsonl.gz",
+        "lines": 12893,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/quant.stackexchange.com.jsonl.gz",
+        "lines": 12933,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/quant.stackexchange.com.jsonl.gz",
+        "lines": 12933,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/philosophy.stackexchange.com.jsonl.gz",
+        "lines": 13114,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/philosophy.stackexchange.com.jsonl.gz",
+        "lines": 13114,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/gardening.stackexchange.com.jsonl.gz",
+        "lines": 13246,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/gardening.stackexchange.com.jsonl.gz",
+        "lines": 13246,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/hinduism.stackexchange.com.jsonl.gz",
+        "lines": 13450,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/networkengineering.stackexchange.com.jsonl.gz",
+        "lines": 13454,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/german.stackexchange.com.jsonl.gz",
+        "lines": 13733,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/german.stackexchange.com.jsonl.gz",
+        "lines": 13733,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/german.stackexchange.com.jsonl.gz",
+        "lines": 13950,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/philosophy.stackexchange.com.jsonl.gz",
+        "lines": 14829,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/gardening.stackexchange.com.jsonl.gz",
+        "lines": 15136,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/space.stackexchange.com.jsonl.gz",
+        "lines": 15142,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/bicycles.stackexchange.com.jsonl.gz",
+        "lines": 15708,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/bicycles.stackexchange.com.jsonl.gz",
+        "lines": 15708,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/law.stackexchange.com.jsonl.gz",
+        "lines": 16133,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/law.stackexchange.com.jsonl.gz",
+        "lines": 16133,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/arduino.stackexchange.com.jsonl.gz",
+        "lines": 16281,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/arduino.stackexchange.com.jsonl.gz",
+        "lines": 16281,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/bicycles.stackexchange.com.jsonl.gz",
+        "lines": 16353,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/emacs.stackexchange.com.jsonl.gz",
+        "lines": 16830,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/emacs.stackexchange.com.jsonl.gz",
+        "lines": 16830,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/quant.stackexchange.com.jsonl.gz",
+        "lines": 17261,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/dsp.stackexchange.com.jsonl.gz",
+        "lines": 17430,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/dsp.stackexchange.com.jsonl.gz",
+        "lines": 17430,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/puzzling.stackexchange.com.jsonl.gz",
+        "lines": 17448,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/puzzling.stackexchange.com.jsonl.gz",
+        "lines": 17448,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/puzzling.stackexchange.com.jsonl.gz",
+        "lines": 17851,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/law.stackexchange.com.jsonl.gz",
+        "lines": 17941,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/movies.stackexchange.com.jsonl.gz",
+        "lines": 18243,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/movies.stackexchange.com.jsonl.gz",
+        "lines": 18243,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/mechanics.stackexchange.com.jsonl.gz",
+        "lines": 18613,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/mechanics.stackexchange.com.jsonl.gz",
+        "lines": 18613,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/aviation.stackexchange.com.jsonl.gz",
+        "lines": 18755,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/aviation.stackexchange.com.jsonl.gz",
+        "lines": 18755,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/biology.stackexchange.com.jsonl.gz",
+        "lines": 19277,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/biology.stackexchange.com.jsonl.gz",
+        "lines": 19277,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/crypto.stackexchange.com.jsonl.gz",
+        "lines": 19404,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/crypto.stackexchange.com.jsonl.gz",
+        "lines": 19404,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/arduino.stackexchange.com.jsonl.gz",
+        "lines": 19553,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/music.stackexchange.com.jsonl.gz",
+        "lines": 19936,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/music.stackexchange.com.jsonl.gz",
+        "lines": 19936,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/aviation.stackexchange.com.jsonl.gz",
+        "lines": 20139,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/softwarerecs.stackexchange.com.jsonl.gz",
+        "lines": 20142,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/movies.stackexchange.com.jsonl.gz",
+        "lines": 20181,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/datascience.stackexchange.com.jsonl.gz",
+        "lines": 20503,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/datascience.stackexchange.com.jsonl.gz",
+        "lines": 20503,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/music.stackexchange.com.jsonl.gz",
+        "lines": 20636,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/japanese.stackexchange.com.jsonl.gz",
+        "lines": 20948,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/japanese.stackexchange.com.jsonl.gz",
+        "lines": 20948,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/emacs.stackexchange.com.jsonl.gz",
+        "lines": 21055,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/dsp.stackexchange.com.jsonl.gz",
+        "lines": 21252,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/japanese.stackexchange.com.jsonl.gz",
+        "lines": 22056,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/bitcoin.stackexchange.com.jsonl.gz",
+        "lines": 22474,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/bitcoin.stackexchange.com.jsonl.gz",
+        "lines": 22474,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/cooking.stackexchange.com.jsonl.gz",
+        "lines": 22641,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/cooking.stackexchange.com.jsonl.gz",
+        "lines": 22641,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/mechanics.stackexchange.com.jsonl.gz",
+        "lines": 22868,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/photo.stackexchange.com.jsonl.gz",
+        "lines": 23204,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/photo.stackexchange.com.jsonl.gz",
+        "lines": 23204,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/crypto.stackexchange.com.jsonl.gz",
+        "lines": 23231,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/cooking.stackexchange.com.jsonl.gz",
+        "lines": 23705,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/photo.stackexchange.com.jsonl.gz",
+        "lines": 23753,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/workplace.stackexchange.com.jsonl.gz",
+        "lines": 24012,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/workplace.stackexchange.com.jsonl.gz",
+        "lines": 24012,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/meta.stackoverflow.com.jsonl.gz",
+        "lines": 24044,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/meta.stackoverflow.com.jsonl.gz",
+        "lines": 24044,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/raspberrypi.stackexchange.com.jsonl.gz",
+        "lines": 24143,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_Title_Answer/raspberrypi.stackexchange.com.jsonl.gz",
+        "lines": 24143,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/workplace.stackexchange.com.jsonl.gz",
+        "lines": 24189,
+        "weight": 2
+    },
+    {
+        "name": "stackexchange_title_body/biology.stackexchange.com.jsonl.gz",
+        "lines": 24447,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/webapps.stackexchange.com.jsonl.gz",
+        "lines": 24867,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_Title_Answer/webapps.stackexchange.com.jsonl.gz",
+        "lines": 24867,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_title_body/bitcoin.stackexchange.com.jsonl.gz",
+        "lines": 25374,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/judaism.stackexchange.com.jsonl.gz",
+        "lines": 26085,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_Title_Answer/judaism.stackexchange.com.jsonl.gz",
+        "lines": 26085,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/ethereum.stackexchange.com.jsonl.gz",
+        "lines": 26124,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_Title_Answer/ethereum.stackexchange.com.jsonl.gz",
+        "lines": 26124,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/worldbuilding.stackexchange.com.jsonl.gz",
+        "lines": 26210,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_Title_Answer/worldbuilding.stackexchange.com.jsonl.gz",
+        "lines": 26210,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_title_body/worldbuilding.stackexchange.com.jsonl.gz",
+        "lines": 26763,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/chemistry.stackexchange.com.jsonl.gz",
+        "lines": 27061,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_Title_Answer/chemistry.stackexchange.com.jsonl.gz",
+        "lines": 27061,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_title_body/datascience.stackexchange.com.jsonl.gz",
+        "lines": 27397,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/graphicdesign.stackexchange.com.jsonl.gz",
+        "lines": 28083,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_Title_Answer/graphicdesign.stackexchange.com.jsonl.gz",
+        "lines": 28083,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/ux.stackexchange.com.jsonl.gz",
+        "lines": 28901,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_Title_Answer/ux.stackexchange.com.jsonl.gz",
+        "lines": 28901,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_title_body/ux.stackexchange.com.jsonl.gz",
+        "lines": 29403,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/money.stackexchange.com.jsonl.gz",
+        "lines": 29404,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_Title_Answer/money.stackexchange.com.jsonl.gz",
+        "lines": 29404,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_title_body/webapps.stackexchange.com.jsonl.gz",
+        "lines": 29697,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/cs.stackexchange.com.jsonl.gz",
+        "lines": 30010,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_Title_Answer/cs.stackexchange.com.jsonl.gz",
+        "lines": 30010,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_title_body/graphicdesign.stackexchange.com.jsonl.gz",
+        "lines": 30233,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/webmasters.stackexchange.com.jsonl.gz",
+        "lines": 30370,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_Title_Answer/webmasters.stackexchange.com.jsonl.gz",
+        "lines": 30370,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_title_body/raspberrypi.stackexchange.com.jsonl.gz",
+        "lines": 30625,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_title_body/money.stackexchange.com.jsonl.gz",
+        "lines": 32021,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_title_body/judaism.stackexchange.com.jsonl.gz",
+        "lines": 32028,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/academia.stackexchange.com.jsonl.gz",
+        "lines": 32137,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_Title_Answer/academia.stackexchange.com.jsonl.gz",
+        "lines": 32137,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_title_body/ethereum.stackexchange.com.jsonl.gz",
+        "lines": 32760,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_title_body/academia.stackexchange.com.jsonl.gz",
+        "lines": 34331,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_title_body/chemistry.stackexchange.com.jsonl.gz",
+        "lines": 34506,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_title_body/webmasters.stackexchange.com.jsonl.gz",
+        "lines": 34559,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_title_body/meta.stackoverflow.com.jsonl.gz",
+        "lines": 36456,
+        "weight": 3
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/travel.stackexchange.com.jsonl.gz",
+        "lines": 36533,
+        "weight": 4
+    },
+    {
+        "name": "stackexchange_Title_Answer/travel.stackexchange.com.jsonl.gz",
+        "lines": 36533,
+        "weight": 4
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/android.stackexchange.com.jsonl.gz",
+        "lines": 38077,
+        "weight": 4
+    },
+    {
+        "name": "stackexchange_Title_Answer/android.stackexchange.com.jsonl.gz",
+        "lines": 38077,
+        "weight": 4
+    },
+    {
+        "name": "stackexchange_title_body/cs.stackexchange.com.jsonl.gz",
+        "lines": 38314,
+        "weight": 4
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/gamedev.stackexchange.com.jsonl.gz",
+        "lines": 40154,
+        "weight": 4
+    },
+    {
+        "name": "stackexchange_Title_Answer/gamedev.stackexchange.com.jsonl.gz",
+        "lines": 40154,
+        "weight": 4
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/rpg.stackexchange.com.jsonl.gz",
+        "lines": 40435,
+        "weight": 4
+    },
+    {
+        "name": "stackexchange_Title_Answer/rpg.stackexchange.com.jsonl.gz",
+        "lines": 40435,
+        "weight": 4
+    },
+    {
+        "name": "stackexchange_title_body/travel.stackexchange.com.jsonl.gz",
+        "lines": 41227,
+        "weight": 4
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/codereview.stackexchange.com.jsonl.gz",
+        "lines": 41748,
+        "weight": 4
+    },
+    {
+        "name": "stackexchange_Title_Answer/codereview.stackexchange.com.jsonl.gz",
+        "lines": 41748,
+        "weight": 4
+    },
+    {
+        "name": "stackexchange_title_body/rpg.stackexchange.com.jsonl.gz",
+        "lines": 42303,
+        "weight": 4
+    },
+    {
+        "name": "stackexchange_title_body/codereview.stackexchange.com.jsonl.gz",
+        "lines": 45765,
+        "weight": 4
+    },
+    {
+        "name": "stackexchange_title_body/gamedev.stackexchange.com.jsonl.gz",
+        "lines": 46485,
+        "weight": 4
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/softwareengineering.stackexchange.com.jsonl.gz",
+        "lines": 51326,
+        "weight": 5
+    },
+    {
+        "name": "stackexchange_Title_Answer/softwareengineering.stackexchange.com.jsonl.gz",
+        "lines": 51326,
+        "weight": 5
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/security.stackexchange.com.jsonl.gz",
+        "lines": 51355,
+        "weight": 5
+    },
+    {
+        "name": "stackexchange_Title_Answer/security.stackexchange.com.jsonl.gz",
+        "lines": 51355,
+        "weight": 5
+    },
+    {
+        "name": "stackexchange_title_body/android.stackexchange.com.jsonl.gz",
+        "lines": 51608,
+        "weight": 5
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/diy.stackexchange.com.jsonl.gz",
+        "lines": 52896,
+        "weight": 5
+    },
+    {
+        "name": "stackexchange_Title_Answer/diy.stackexchange.com.jsonl.gz",
+        "lines": 52896,
+        "weight": 5
+    },
+    {
+        "name": "stackexchange_title_body/softwareengineering.stackexchange.com.jsonl.gz",
+        "lines": 53942,
+        "weight": 5
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/blender.stackexchange.com.jsonl.gz",
+        "lines": 54153,
+        "weight": 5
+    },
+    {
+        "name": "stackexchange_Title_Answer/blender.stackexchange.com.jsonl.gz",
+        "lines": 54153,
+        "weight": 5
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/scifi.stackexchange.com.jsonl.gz",
+        "lines": 54805,
+        "weight": 5
+    },
+    {
+        "name": "stackexchange_Title_Answer/scifi.stackexchange.com.jsonl.gz",
+        "lines": 54805,
+        "weight": 5
+    },
+    {
+        "name": "stackexchange_title_body/security.stackexchange.com.jsonl.gz",
+        "lines": 58000,
+        "weight": 5
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/mathematica.stackexchange.com.jsonl.gz",
+        "lines": 59895,
+        "weight": 5
+    },
+    {
+        "name": "stackexchange_Title_Answer/mathematica.stackexchange.com.jsonl.gz",
+        "lines": 59895,
+        "weight": 5
+    },
+    {
+        "name": "stackexchange_title_body/diy.stackexchange.com.jsonl.gz",
+        "lines": 60083,
+        "weight": 5
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/meta.stackexchange.com.jsonl.gz",
+        "lines": 60744,
+        "weight": 5
+    },
+    {
+        "name": "stackexchange_Title_Answer/meta.stackexchange.com.jsonl.gz",
+        "lines": 60744,
+        "weight": 5
+    },
+    {
+        "name": "stackexchange_title_body/scifi.stackexchange.com.jsonl.gz",
+        "lines": 61528,
+        "weight": 6
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/drupal.stackexchange.com.jsonl.gz",
+        "lines": 67817,
+        "weight": 6
+    },
+    {
+        "name": "stackexchange_Title_Answer/drupal.stackexchange.com.jsonl.gz",
+        "lines": 67817,
+        "weight": 6
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/dba.stackexchange.com.jsonl.gz",
+        "lines": 71449,
+        "weight": 6
+    },
+    {
+        "name": "stackexchange_Title_Answer/dba.stackexchange.com.jsonl.gz",
+        "lines": 71449,
+        "weight": 6
+    },
+    {
+        "name": "stackexchange_title_body/mathematica.stackexchange.com.jsonl.gz",
+        "lines": 73131,
+        "weight": 7
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/ell.stackexchange.com.jsonl.gz",
+        "lines": 77892,
+        "weight": 7
+    },
+    {
+        "name": "stackexchange_Title_Answer/ell.stackexchange.com.jsonl.gz",
+        "lines": 77892,
+        "weight": 7
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/magento.stackexchange.com.jsonl.gz",
+        "lines": 79241,
+        "weight": 7
+    },
+    {
+        "name": "stackexchange_Title_Answer/magento.stackexchange.com.jsonl.gz",
+        "lines": 79241,
+        "weight": 7
+    },
+    {
+        "name": "stackexchange_title_body/drupal.stackexchange.com.jsonl.gz",
+        "lines": 79717,
+        "weight": 7
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/sharepoint.stackexchange.com.jsonl.gz",
+        "lines": 80420,
+        "weight": 7
+    },
+    {
+        "name": "stackexchange_Title_Answer/sharepoint.stackexchange.com.jsonl.gz",
+        "lines": 80420,
+        "weight": 7
+    },
+    {
+        "name": "stackexchange_title_body/blender.stackexchange.com.jsonl.gz",
+        "lines": 80766,
+        "weight": 7
+    },
+    {
+        "name": "stackexchange_title_body/dba.stackexchange.com.jsonl.gz",
+        "lines": 81871,
+        "weight": 7
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/gaming.stackexchange.com.jsonl.gz",
+        "lines": 82887,
+        "weight": 7
+    },
+    {
+        "name": "stackexchange_Title_Answer/gaming.stackexchange.com.jsonl.gz",
+        "lines": 82887,
+        "weight": 7
+    },
+    {
+        "name": "stackexchange_title_body/ell.stackexchange.com.jsonl.gz",
+        "lines": 83271,
+        "weight": 7
+    },
+    {
+        "name": "stackexchange_title_body/meta.stackexchange.com.jsonl.gz",
+        "lines": 83510,
+        "weight": 7
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/wordpress.stackexchange.com.jsonl.gz",
+        "lines": 83621,
+        "weight": 7
+    },
+    {
+        "name": "stackexchange_Title_Answer/wordpress.stackexchange.com.jsonl.gz",
+        "lines": 83621,
+        "weight": 7
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/mathoverflow.net.jsonl.gz",
+        "lines": 85289,
+        "weight": 8
+    },
+    {
+        "name": "stackexchange_Title_Answer/mathoverflow.net.jsonl.gz",
+        "lines": 85289,
+        "weight": 8
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/salesforce.stackexchange.com.jsonl.gz",
+        "lines": 87272,
+        "weight": 8
+    },
+    {
+        "name": "stackexchange_Title_Answer/salesforce.stackexchange.com.jsonl.gz",
+        "lines": 87272,
+        "weight": 8
+    },
+    {
+        "name": "stackexchange_title_body/gaming.stackexchange.com.jsonl.gz",
+        "lines": 88912,
+        "weight": 8
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/apple.stackexchange.com.jsonl.gz",
+        "lines": 92487,
+        "weight": 8
+    },
+    {
+        "name": "stackexchange_Title_Answer/apple.stackexchange.com.jsonl.gz",
+        "lines": 92487,
+        "weight": 8
+    },
+    {
+        "name": "stackexchange_title_body/sharepoint.stackexchange.com.jsonl.gz",
+        "lines": 94011,
+        "weight": 8
+    },
+    {
+        "name": "stackexchange_title_body/magento.stackexchange.com.jsonl.gz",
+        "lines": 99991,
+        "weight": 9
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/gis.stackexchange.com.jsonl.gz",
+        "lines": 100254,
+        "weight": 9
+    },
+    {
+        "name": "stackexchange_Title_Answer/gis.stackexchange.com.jsonl.gz",
+        "lines": 100254,
+        "weight": 9
+    },
+    {
+        "name": "stackexchange_title_body/wordpress.stackexchange.com.jsonl.gz",
+        "lines": 100474,
+        "weight": 9
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/english.stackexchange.com.jsonl.gz",
+        "lines": 100640,
+        "weight": 9
+    },
+    {
+        "name": "stackexchange_Title_Answer/english.stackexchange.com.jsonl.gz",
+        "lines": 100640,
+        "weight": 9
+    },
+    {
+        "name": "stackexchange_title_body/salesforce.stackexchange.com.jsonl.gz",
+        "lines": 105260,
+        "weight": 9
+    },
+    {
+        "name": "stackexchange_title_body/english.stackexchange.com.jsonl.gz",
+        "lines": 109522,
+        "weight": 10
+    },
+    {
+        "name": "stackexchange_title_body/apple.stackexchange.com.jsonl.gz",
+        "lines": 110622,
+        "weight": 10
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/stats.stackexchange.com.jsonl.gz",
+        "lines": 115679,
+        "weight": 10
+    },
+    {
+        "name": "stackexchange_Title_Answer/stats.stackexchange.com.jsonl.gz",
+        "lines": 115679,
+        "weight": 10
+    },
+    {
+        "name": "stackexchange_title_body/mathoverflow.net.jsonl.gz",
+        "lines": 120851,
+        "weight": 10
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/electronics.stackexchange.com.jsonl.gz",
+        "lines": 129494,
+        "weight": 11
+    },
+    {
+        "name": "stackexchange_Title_Answer/electronics.stackexchange.com.jsonl.gz",
+        "lines": 129494,
+        "weight": 11
+    },
+    {
+        "name": "stackexchange_title_body/gis.stackexchange.com.jsonl.gz",
+        "lines": 131000,
+        "weight": 11
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/physics.stackexchange.com.jsonl.gz",
+        "lines": 141230,
+        "weight": 12
+    },
+    {
+        "name": "stackexchange_Title_Answer/physics.stackexchange.com.jsonl.gz",
+        "lines": 141230,
+        "weight": 12
+    },
+    {
+        "name": "stackexchange_title_body/electronics.stackexchange.com.jsonl.gz",
+        "lines": 143582,
+        "weight": 12
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/unix.stackexchange.com.jsonl.gz",
+        "lines": 155414,
+        "weight": 13
+    },
+    {
+        "name": "stackexchange_Title_Answer/unix.stackexchange.com.jsonl.gz",
+        "lines": 155414,
+        "weight": 13
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/tex.stackexchange.com.jsonl.gz",
+        "lines": 171628,
+        "weight": 15
+    },
+    {
+        "name": "stackexchange_Title_Answer/tex.stackexchange.com.jsonl.gz",
+        "lines": 171628,
+        "weight": 15
+    },
+    {
+        "name": "stackexchange_title_body/physics.stackexchange.com.jsonl.gz",
+        "lines": 173307,
+        "weight": 15
+    },
+    {
+        "name": "stackexchange_title_body/stats.stackexchange.com.jsonl.gz",
+        "lines": 173466,
+        "weight": 15
+    },
+    {
+        "name": "stackexchange_title_body/unix.stackexchange.com.jsonl.gz",
+        "lines": 185997,
+        "weight": 16
+    },
+    {
+        "name": "stackexchange_title_body/tex.stackexchange.com.jsonl.gz",
+        "lines": 202954,
+        "weight": 17
+    },
+    {
+        "name": "TriviaQA_pairs.jsonl.gz",
+        "lines": 73346,
+        "weight": 19
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/serverfault.com.jsonl.gz",
+        "lines": 238507,
+        "weight": 20
+    },
+    {
+        "name": "stackexchange_Title_Answer/serverfault.com.jsonl.gz",
+        "lines": 238507,
+        "weight": 20
+    },
+    {
+        "name": "stackexchange_duplicate_questions_title-body_title-body.jsonl.gz",
+        "lines": 250460,
+        "weight": 21
+    },
+    {
+        "name": "stackexchange_duplicate_questions_body_body.jsonl.gz",
+        "lines": 250519,
+        "weight": 21
+    },
+    {
+        "name": "squad_pairs.jsonl.gz",
+        "lines": 87599,
+        "weight": 22
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/askubuntu.com.jsonl.gz",
+        "lines": 267135,
+        "weight": 22
+    },
+    {
+        "name": "stackexchange_Title_Answer/askubuntu.com.jsonl.gz",
+        "lines": 267135,
+        "weight": 22
+    },
+    {
+        "name": "stackexchange_title_body/serverfault.com.jsonl.gz",
+        "lines": 270904,
+        "weight": 23
+    },
+    {
+        "name": "NQ-train_pairs.jsonl.gz",
+        "lines": 100231,
+        "weight": 25
+    },
+    {
+        "name": "SimpleWiki.jsonl.gz",
+        "lines": 102225,
+        "weight": 26
+    },
+    {
+        "name": "quora_duplicates_triplets.jsonl.gz",
+        "lines": 103663,
+        "weight": 26
+    },
+    {
+        "name": "stackexchange_duplicate_questions_title_title.jsonl.gz",
+        "lines": 304525,
+        "weight": 26
+    },
+    {
+        "name": "altlex.jsonl.gz",
+        "lines": 112696,
+        "weight": 28
+    },
+    {
+        "name": "stackexchange_title_body/askubuntu.com.jsonl.gz",
+        "lines": 347925,
+        "weight": 29
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/superuser.com.jsonl.gz",
+        "lines": 352610,
+        "weight": 30
+    },
+    {
+        "name": "stackexchange_Title_Answer/superuser.com.jsonl.gz",
+        "lines": 352610,
+        "weight": 30
+    },
+    {
+        "name": "wikihow.jsonl.gz",
+        "lines": 128542,
+        "weight": 32
+    },
+    {
+        "name": "stackexchange_title_body/superuser.com.jsonl.gz",
+        "lines": 435463,
+        "weight": 36
+    },
+    {
+        "name": "stackexchange_title_body/small_stackexchanges.jsonl.gz",
+        "lines": 448146,
+        "weight": 37
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/small_stackexchanges.jsonl.gz",
+        "lines": 460256,
+        "weight": 38
+    },
+    {
+        "name": "stackexchange_Title_Answer/small_stackexchanges.jsonl.gz",
+        "lines": 460256,
+        "weight": 38
+    },
+    {
+        "name": "sentence-compression.jsonl.gz",
+        "lines": 180000,
+        "weight": 45
+    },
+    {
+        "name": "AllNLI.jsonl.gz",
+        "lines": 277230,
+        "weight": 69
+    },
+    {
+        "name": "eli5_question_answer.jsonl.gz",
+        "lines": 325475,
+        "weight": 81
+    },
+    {
+        "name": "reddit/reddit_2015.jsonl.gz",
+        "lines": 135108166,
+        "weight": 82
+    },
+    {
+        "name": "reddit/reddit_2016.jsonl.gz",
+        "lines": 159164386,
+        "weight": 82
+    },
+    {
+        "name": "reddit/reddit_2017.jsonl.gz",
+        "lines": 191485219,
+        "weight": 82
+    },
+    {
+        "name": "reddit/reddit_2018.jsonl.gz",
+        "lines": 240726659,
+        "weight": 82
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/math.stackexchange.com.jsonl.gz",
+        "lines": 1100953,
+        "weight": 83
+    },
+    {
+        "name": "stackexchange_Title_Answer/math.stackexchange.com.jsonl.gz",
+        "lines": 1100953,
+        "weight": 83
+    },
+    {
+        "name": "stackexchange_title_body/math.stackexchange.com.jsonl.gz",
+        "lines": 1338443,
+        "weight": 83
+    },
+    {
+        "name": "stackexchange_TitleBody_Answer/stackoverflow.com-Posts.jsonl.gz",
+        "lines": 15768211,
+        "weight": 83
+    },
+    {
+        "name": "stackexchange_Title_Answer/stackoverflow.com-Posts.jsonl.gz",
+        "lines": 15768211,
+        "weight": 83
+    },
+    {
+        "name": "stackexchange_title_body/stackoverflow.com-Posts.jsonl.gz",
+        "lines": 18562443,
+        "weight": 83
+    },
+    {
+        "name": "specter_train_triples.jsonl.gz",
+        "lines": 684100,
+        "weight": 84
+    },
+    {
+        "name": "S2ORC_title_abstract.jsonl.gz",
+        "lines": 41769185,
+        "weight": 123
+    },
+    {
+        "name": "S2ORC_citation_pairs.jsonl.gz",
+        "lines": 52603982,
+        "weight": 123
+    },
+    {
+        "name": "PAQ_pairs.jsonl.gz",
+        "lines": 64371441,
+        "weight": 123
+    },
+    {
+        "name": "WikiAnswers_pairs.jsonl.gz",
+        "lines": 77427422,
+        "weight": 123
+    },
+    {
+        "name": "S2ORC_citation_pairs_abstract.jsonl.gz",
+        "lines": 116288806,
+        "weight": 123
+    },
+    {
+        "name": "searchQA_question_top5_snippets_merged.jsonl.gz",
+        "lines": 582261,
+        "weight": 144
+    },
+    {
+        "name": "yahoo_answers_title_question.jsonl.gz",
+        "lines": 659896,
+        "weight": 163
+    },
+    {
+        "name": "yahoo_answers_question_answer.jsonl.gz",
+        "lines": 681164,
+        "weight": 169
+    },
+    {
+        "name": "yahoo_answers_title_answer.jsonl.gz",
+        "lines": 1198260,
+        "weight": 247
+    },
+    {
+        "name": "amazon-qa-train-pairs.jsonl.gz",
+        "lines": 2448839,
+        "weight": 247
+    },
+    {
+        "name": "gooaq_pairs.jsonl.gz",
+        "lines": 3012496,
+        "weight": 247
+    },
+    {
+        "name": "msmarco-query_passage_negative.jsonl.gz",
+        "lines": 9144553,
+        "weight": 247
+    }
+]

model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4223c8d24d264e5908c524010733426c09be1bdc3242df39175b8f8144b2c197
+size 23153490

modules.json

@@ -0,0 +1,20 @@
+[
+  {
+    "idx": 0,
+    "name": "0",
+    "path": "",
+    "type": "sentence_transformers.models.Transformer"
+  },
+  {
+    "idx": 1,
+    "name": "1",
+    "path": "1_Pooling",
+    "type": "sentence_transformers.models.Pooling"
+  },
+  {
+    "idx": 2,
+    "name": "2",
+    "path": "2_Normalize",
+    "type": "sentence_transformers.models.Normalize"
+  }
+]

sentence_bert_config.json

@@ -0,0 +1,4 @@
+{
+  "max_seq_length": 256,
+  "do_lower_case": false
+}

special_tokens_map.json

@@ -0,0 +1 @@
+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

tokenizer_config.json

@@ -0,0 +1 @@
+{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "name_or_path": "nreimers/MiniLM-L6-H384-uncased", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer", "model_max_length": 512}