README.md

---
language:
- en
license: apache-2.0
size_categories:
- 1K<n<10K
task_categories:
- text-generation
- fill-mask
- feature-extraction
configs:
- config_name: abj-fulltext
  data_files:
  - split: train
    path: abj-fulltext/train-*
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
- config_name: embeddings-jina-sm
  data_files:
  - split: train
    path: embeddings-jina-sm/train-*
  - split: validation
    path: embeddings-jina-sm/validation-*
  - split: test
    path: embeddings-jina-sm/test-*
- config_name: embeddings-text-nomic_text_v1
  data_files:
  - split: train
    path: embeddings-text-nomic_text_v1/train-*
dataset_info:
- config_name: abj-fulltext
  features:
  - name: relative_path
    dtype: string
  - name: section
    dtype: string
  - name: filename
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 67883530
    num_examples: 53
  download_size: 37147931
  dataset_size: 67883530
- config_name: default
  features:
  - name: relative_path
    dtype: string
  - name: section
    dtype: string
  - name: filename
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 190183849.4385724
    num_examples: 1384
  - name: validation
    num_bytes: 4946978.742621826
    num_examples: 36
  - name: test
    num_bytes: 5084394.818805765
    num_examples: 37
  download_size: 115721385
  dataset_size: 200215223.0
- config_name: embeddings-jina-sm
  features:
  - name: relative_path
    dtype: string
  - name: section
    dtype: string
  - name: filename
    dtype: string
  - name: text
    dtype: string
  - name: embedding
    sequence: float64
  splits:
  - name: train
    num_bytes: 133288341
    num_examples: 1254
  - name: validation
    num_bytes: 4916417
    num_examples: 33
  - name: test
    num_bytes: 2822239
    num_examples: 33
  download_size: 84812247
  dataset_size: 141026997
- config_name: embeddings-text-nomic_text_v1
  features:
  - name: relative_path
    dtype: string
  - name: section
    dtype: string
  - name: filename
    dtype: string
  - name: text
    dtype: string
  - name: text-embedding
    sequence: float64
  splits:
  - name: train
    num_bytes: 135856533
    num_examples: 1254
  download_size: 82483500
  dataset_size: 135856533
thumbnail: https://i.ibb.co/DCjs6R2/bessinternal.png
extra_gated_prompt: By accessing this dataset, you agree to use it responsibly and
  ethically. You agree not to use the dataset for any form of bioterrorism, to harm
  bees or other pollinators, to disrupt ecosystems, or to commit any act that negatively
  impacts biodiversity or public health. You also agree not to use this dataset to
  develop technologies or conduct experiments that could cause harm to humans, animals,
  or the environment.
extra_gated_fields:
  ? I agree to not use the dataset for the development, research, or deployment of
    autonomous weapons or harmful biological agents
  : checkbox
  I want to use this dataset for:
    type: select
    options:
    - Research
    - Education
    - Conservation Efforts
    - Enlightenment
    - label: Other (please specify)
      value: other
extra_gated_heading: Commit to Ethical Use of the Apicultural Data
extra_gated_button_content: I love bees
tags:
- bees
- biology
- beekeeping
---

# Dataset Card for "bees-internal"


Full length OCR of Bee material and other Lore. Documents are split into multiple chunks if they contain more than 0.5 MB of text, to avoid destroying the CPU during tokenization.

## counts

all counts are for the default config.

### tokens

GPT-4 tiktoken token count:

```
         token_count
count    1384.000000
mean    32776.423410
std     33652.185553
min       215.000000
25%      3514.000000
50%      8942.000000
75%     65717.750000
max    160077.000000
```


 - Total count:	45.36 M tokens


meta-llama/Meta-Llama-3-8B token count:

```
         token_count
count    1384.000000
mean    31807.650289
std     32651.250770
min       212.000000
25%      3412.750000
50%      8733.500000
75%     64047.000000
max    156381.000000
```


 - Total count:	44.02 M tokens


### input files

<pre>INFO: Found 1457 text files - 2024-Feb-20_13-19
INFO: Train size: 1384
Validation size: 36
Test size: 37
</pre>