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erickfmm/agentlans__multilingual-sentences__paired_10_sts

published by @erickfmm

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
647
Last 30 days
120
Likes
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Size
944.3 MB
Created on HF
2025-10-10
Age
1 years ago

Description

Sentences from agentlans/multilingual-sentences in Spanish, and processed with Sentence Similarity Cosine Scores with model hiiamsid/sentence_similarity_spanish_es

Each sentence in original dataset was randomly assigned 10 rows (sentences) within a batch of 1000, calculate the sentence similarity, and then deleted duplicate pairs

The code for processing can be found here

Useful for data distillation, training or benchmarking.

Its recommended resampling the dataset to undersample to get a… See the full description on the dataset page: https://huggingface.co/datasets/erickfmm/agentlans__multilingual-sentences__paired_10_sts.

Tags

task_categories:sentence-similaritylanguage:eslicense:apache-2.0size_categories:1M<n<10Mformat:csvmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face

license: apache-2.0
task_categories:

  • sentence-similarity
    language:
  • es
    pretty_name: Sentences in Spanish paired with BETO sts
    size_categories:
  • 1M<n<10M
    dataset_info:
    config_name: default
    splits:
    • name: train
      num_examples: 2009042

configs:

  • config_name: default
    data_files:
    • split: train
      path: train.csv

Sentences from agentlans/multilingual-sentences in Spanish, and processed with Sentence Similarity Cosine Scores with model hiiamsid/sentence_similarity_spanish_es

Each sentence in original dataset was randomly assigned 10 rows (sentences) within a batch of 1000, calculate the sentence similarity, and then deleted duplicate pairs

The code for processing can be found here

Useful for data distillation, training or benchmarking.

Its recommended resampling the dataset to undersample to get a normal distribution centered in 0, for avoid issues with imbalanced data

README history 3 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2025-10-14Update README.mdc92876b1.1 KB
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  2. 2025-10-10initial upload444a30f31 B
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  3. 2025-10-10initial commit8b8113731 B
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Read further

Community best practices (architecture)
4 rules for MoE, hybrid SSM, FP8 requantization, and Gemma quirks.
The six workflow stages
What misc is doing more work than its name suggests.
Beyond English: multilingual corpora
The four language communities and their workarounds.
Non-English abliteration communities
Deep dive: huihui-ai, layer-window, slop-framing, CJK tokenizer fixes.

Metadata

License
apache-2.0

Repository

DIR batches_in_xlsx 202 files FILE .gitattributes FILE README.md FILE train.csv

File contents live on Hugging Face. Click a file or folder to open it there.

Download the dataset

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Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python) 
from datasets import load_dataset
ds = load_dataset("erickfmm/agentlans__multilingual-sentences__paired_10_sts")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="erickfmm/agentlans__multilingual-sentences__paired_10_sts", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/erickfmm/agentlans__multilingual-sentences__paired_10_sts
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