NLP Lineage

31 January 2024 · Scale and data

Dolma

Dolma: an Open Corpus of Three Trillion Tokens

L. Soldaini, et al.

Date
31 January 2024
What the date marks
arXiv submission
Kind
Dataset
Organisation
Allen Institute for AI
Access
ODC-BY
Threads
In the guided tour
Chapter 8. The weights get out
Learning phases
2. How LLMs are trained; 8. Training from scratch

A milestone: 1 later milestone descends directly from it, and its descendants reach 3 of the 10 threads. How levels are decided

Read the primary source (arxiv.org)

Full summary in progress. Until then, this page shows the milestone's record from the research data.

What it changed

Before it

Open corpora existed but the pipelines that produced them were partly undocumented.

The problem

Without the tooling and decisions, you cannot audit or rebuild a corpus.

What it introduced

Three trillion tokens released with the full curation toolkit and documented design decisions.

Why it matters

It made pretraining data auditable, which matters for bias, contamination and copyright questions.

What modern models inherit

Data provenance as a publishable artefact.

What came next

OLMo trained on it; FineWeb pushed the open-data quality bar further.

Before and after

The milestones it descends from, and the milestones that descend from it. Work developed alongside it is not counted. Weak links are left out unless you include them.

Before: where it came from

Dolma has 21 documented ancestors across 6 chapters, reaching back to Recurrent networks in 1990. Showing its direct parents and the 10 turning points among them.

Dolma has 21 documented ancestors across 6 chapters, reaching back to Recurrent networks in 1990. Showing all of them.

Dolma has 30 recorded ancestors, including indirect ones, across 6 chapters, reaching back to Recurrent networks in 1990. Showing its direct parents and the 10 turning points among them.

Dolma has 30 recorded ancestors, including indirect ones, across 6 chapters, reaching back to Recurrent networks in 1990. Showing all of them.

  1. 2024DolmaThis milestone.
  2. 2023RefinedWebDolma was influenced by thisChapter 8. The weights get out
  3. 2020The PileDolma was influenced by thisChapter 5. Scale becomes a science
  4. 2020GPT-3 Turning pointThe Pile was influenced by thisChapter 5. Scale becomes a science
  5. 2020Scaling laws Turning pointGPT-3 was influenced by thisChapter 5. Scale becomes a science
  6. 2019C4 Turning pointDolma was influenced by thisChapter 4. Pretrain once, use everywhere
  7. 2019Sparse Transformer Turning pointGPT-3 built directly on thisChapter 4. Pretrain once, use everywhere
  8. 2019GPT-2 Turning pointGPT-3 built directly on thisChapter 4. Pretrain once, use everywhere
  9. 2019WebTextGPT-2 was influenced by thisChapter 4. Pretrain once, use everywhere
  10. 2018GPT-1GPT-2 built directly on thisChapter 4. Pretrain once, use everywhere
  11. 2017Transformer Turning pointGPT-2 built directly on this
    Sparse Transformer built directly on this
    Scaling laws built directly on this    Chapter 3. Attention, then only attention
  12. 2016Layer normGPT-2 built directly on thisChapter 3. Attention, then only attention
  13. 2015Residual connectionsTransformer was influenced by thisChapter 3. Attention, then only attention
  14. 2015LM pretraining Turning pointGPT-1 was influenced by thisChapter 2. Words become vectors
  15. 2015BPE tokenizationGPT-2 built directly on thisChapter 2. Words become vectors
  16. 2015Luong attentionTransformer was influenced by thisChapter 3. Attention, then only attention
  17. 2014AdamTransformer was influenced by thisChapter 2. Words become vectors
  18. 2014Seq2seq Turning pointTransformer built directly on thisChapter 2. Words become vectors
  19. 2014Attention Turning pointTransformer built directly on thisChapter 3. Attention, then only attention
  20. 2014GRU / encoder-decoderAttention built directly on thisChapter 2. Words become vectors
  21. 1997LSTM Turning pointSeq2seq built directly on thisChapter 1. Language as probability
  22. 1990Recurrent networksLSTM was influenced by thisChapter 1. Language as probability
  1. 2024DolmaThis milestone.
  2. 2023RefinedWebDolma was influenced by thisChapter 8. The weights get out
  3. 2020The PileDolma was influenced by thisChapter 5. Scale becomes a science
  4. 2020GPT-3 Turning pointThe Pile was influenced by thisChapter 5. Scale becomes a science
  5. 2020Scaling laws Turning pointGPT-3 was influenced by thisChapter 5. Scale becomes a science
  6. 2019C4 Turning pointDolma was influenced by thisChapter 4. Pretrain once, use everywhere
  7. 2019Sparse Transformer Turning pointGPT-3 built directly on thisChapter 4. Pretrain once, use everywhere
  8. 2019WebTextC4 was influenced by this (indirect influence)Chapter 4. Pretrain once, use everywhere
  9. 2019GPT-2 Turning pointGPT-3 built directly on thisChapter 4. Pretrain once, use everywhere
  10. 2019Transformer-XLSparse Transformer was influenced by this (indirect influence)Chapter 4. Pretrain once, use everywhere
  11. 2018GPT-1WebText was influenced by thisChapter 4. Pretrain once, use everywhere
  12. 2018ELMoGPT-1 was influenced by this (indirect influence)Chapter 4. Pretrain once, use everywhere
  13. 2018ULMFiTGPT-1 was influenced by this (indirect influence)Chapter 4. Pretrain once, use everywhere
  14. 2017CoVeELMo was influenced by thisChapter 3. Attention, then only attention
  15. 2017Transformer Turning pointGPT-2 built directly on this
    Sparse Transformer built directly on this
    Scaling laws built directly on this    Chapter 3. Attention, then only attention
  16. 2017ConvS2STransformer was influenced by this (indirect influence)Chapter 3. Attention, then only attention
  17. 2016Layer normGPT-2 built directly on thisChapter 3. Attention, then only attention
  18. 2015Residual connectionsTransformer was influenced by thisChapter 3. Attention, then only attention
  19. 2015LM pretraining Turning pointGPT-1 was influenced by thisChapter 2. Words become vectors
  20. 2015BPE tokenizationGPT-2 built directly on thisChapter 2. Words become vectors
  21. 2015Luong attentionTransformer was influenced by thisChapter 3. Attention, then only attention
  22. 2014AdamTransformer was influenced by thisChapter 2. Words become vectors
  23. 2014GloVeELMo built directly on thisChapter 2. Words become vectors
  24. 2014Seq2seq Turning pointTransformer built directly on thisChapter 2. Words become vectors
  25. 2014Attention Turning pointTransformer built directly on thisChapter 3. Attention, then only attention
  26. 2014GRU / encoder-decoderAttention built directly on thisChapter 2. Words become vectors
  27. 2013word2vecELMo was influenced by thisChapter 2. Words become vectors
  28. 2011NLP from scratchELMo was influenced by thisChapter 1. Language as probability
  29. 2003Neural LMNLP from scratch was influenced by this
    word2vec was influenced by this    Chapter 1. Language as probability
  30. 1997LSTM Turning pointELMo built directly on thisChapter 1. Language as probability
  31. 1990Recurrent networksLSTM was influenced by thisChapter 1. Language as probability

After: what it led to

Dolma has 1 documented descendants across 1 chapter, reaching forward to OLMo in 2024. Showing all of them.

Dolma has 1 documented descendants across 1 chapter, reaching forward to OLMo in 2024. Showing all of them.

Dolma has 1 recorded descendants, including indirect ones, across 1 chapter, reaching forward to OLMo in 2024. Showing all of them.

Dolma has 1 recorded descendants, including indirect ones, across 1 chapter, reaching forward to OLMo in 2024. Showing all of them.

  1. 2024DolmaThis milestone.
  2. 2024OLMobuilt directly on DolmaChapter 8. The weights get out
  1. 2024DolmaThis milestone.
  2. 2024OLMobuilt directly on DolmaChapter 8. The weights get out

Direct links and their sources

Where it came from

Influenced by

What it led to

Built on directly by