Datasets:

MineAITechnology
/

mine-embed-v1

Tasks:

Feature Extraction

Sentence Similarity

Modalities:

Formats:

Languages:

Size:

Tags:

contrastive-learning

masked-language-modeling

information-retrieval

DOI:

Libraries:

License:

Dataset card Data Studio Files Files and versions

098alzoro0 commited on 10 days ago

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@@ -19,7 +19,7 @@ size_categories:
 # mine-embed-v1
 Training data used to build the experimental embedding model
-[`MineAITechnology/mine-embed-57M`](https://huggingface.co/MineAITechnology/mine-embed-57M).
 It has two parts:
 1. **A tokenized pretraining corpus** (GPT-2 BPE) for masked-language-model (MLM) pretraining.
@@ -101,7 +101,7 @@ The three synthetic/curated validation domains have too few examples (2 to 9) to
 ## 5. Results of a model trained on this data
-`mine-embed-57M` (57.8M parameters, trained from scratch on this data) scored:
 | Evaluation | Result |
 |---|---|
@@ -135,7 +135,7 @@ Until this review is finished, treat the dataset as **research use only**.
 ## 7. Intended use and limits
-- **Intended:** research on embedding training, reproducing `mine-embed-57M`, studying contrastive data composition.
 - **Not suitable as the only data** for a general-purpose embedding model (see section 5).
 - **Not for** safety classification or content moderation training without independent review of the security portion.
@@ -143,7 +143,7 @@ Until this review is finished, treat the dataset as **research use only**.
 ```bibtex
 @misc{mine_embed_v1_2026,
-  title        = {mine-embed-v1: pretraining and contrastive data for mine-embed-57M},
   author       = {{MineAI Technology}},
   year         = {2026},
   howpublished = {Hugging Face dataset},

 # mine-embed-v1
 Training data used to build the experimental embedding model
+[`MineAITechnology/mine-embed-v1`](https://huggingface.co/MineAITechnology/mine-embed-v1) (the model; this card is for the dataset of the same name).
 It has two parts:
 1. **A tokenized pretraining corpus** (GPT-2 BPE) for masked-language-model (MLM) pretraining.
 ## 5. Results of a model trained on this data
+`mine-embed-v1` (57.8M parameters, trained from scratch on this data) scored:
 | Evaluation | Result |
 |---|---|
 ## 7. Intended use and limits
+- **Intended:** research on embedding training, reproducing `mine-embed-v1`, studying contrastive data composition.
 - **Not suitable as the only data** for a general-purpose embedding model (see section 5).
 - **Not for** safety classification or content moderation training without independent review of the security portion.
 ```bibtex
 @misc{mine_embed_v1_2026,
+  title        = {mine-embed-v1: pretraining and contrastive data for mine-embed-v1},
   author       = {{MineAI Technology}},
   year         = {2026},
   howpublished = {Hugging Face dataset},