License: CC-BY-4.0

README.md

@@ -1,7 +1,5 @@
 ---
-license:
-- cc-by-4.0
-- odc-by
+license: cc-by-4.0
 language:
 - en
 pretty_name: ShellElastic pretraining data
@@ -100,13 +98,15 @@ on language model pretraining.
 
 ## License
 
-- `dclm-baseline/`: a subset of [DCLM-Baseline](https://huggingface.co/datasets/mlfoundations/dclm-baseline-1.0) (Li et al., 2024), which is distributed under
-  [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/) and derived from Common Crawl. Changes: the text was tokenized with the GPT-NeoX-20B
-  tokenizer, packed into sequences of 2,049 tokens and shuffled into shards of 8,192 sequences, and only the
-  shards that the paper's runs read are included. These data are distributed under CC-BY-4.0.
+This dataset is released under [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/). It is derived from third-party data, whose terms also apply:
+
+- `dclm-baseline/`: a subset of [DCLM-Baseline](https://huggingface.co/datasets/mlfoundations/dclm-baseline-1.0) (Li et al., 2024), which is distributed under CC-BY-4.0 and
+  derived from Common Crawl. Changes: the text was tokenized with the GPT-NeoX-20B tokenizer, packed into sequences of
+  2,049 tokens and shuffled into shards of 8,192 sequences, and only the shards that the paper's runs read are
+  included.
 - `c4-val/`: held-out text of [C4](https://huggingface.co/datasets/allenai/c4) (Raffel et al., 2020), which is distributed under [ODC-BY](https://opendatacommons.org/licenses/by/1-0/)
-  together with the [Common Crawl terms of use](https://commoncrawl.org/terms-of-use/), tokenized and packed in the same way. These data are
-  distributed under ODC-BY, and the Common Crawl terms of use apply to them as well.
+  together with the [Common Crawl terms of use](https://commoncrawl.org/terms-of-use/), tokenized and packed in the same way. Its use is also
+  subject to the attribution requirements of ODC-BY and to the Common Crawl terms of use.
 - The token ids refer to the [GPT-NeoX-20B tokenizer](https://huggingface.co/EleutherAI/gpt-neox-20b) (Apache-2.0), which is not bundled here.
 
 The underlying web text belongs to its authors. DCLM-Baseline is intended for research use (see its dataset card).
@@ -121,22 +121,20 @@ The underlying web text belongs to its authors. DCLM-Baseline is intended for re
   year    = {2026}
 }
 
-@inproceedings{
-li2024datacomplm,
-title={DataComp-{LM}: In search of the next generation of training sets for language models},
-author={Jeffrey Li and Alex Fang and Georgios Smyrnis and Maor Ivgi and Matt Jordan and Samir Yitzhak Gadre and Hritik Bansal and Etash Kumar Guha and Sedrick Keh and Kushal Arora and Saurabh Garg and Rui Xin and Niklas Muennighoff and Reinhard Heckel and Jean Mercat and Mayee F Chen and Suchin Gururangan and Mitchell Wortsman and Alon Albalak and Yonatan Bitton and Marianna Nezhurina and Amro Kamal Mohamed Abbas and Cheng-Yu Hsieh and Dhruba Ghosh and Joshua P Gardner and Maciej Kilian and Hanlin Zhang and Rulin Shao and Sarah M Pratt and Sunny Sanyal and Gabriel Ilharco and Giannis Daras and Kalyani Marathe and Aaron Gokaslan and Jieyu Zhang and Khyathi Chandu and Thao Nguyen and Igor Vasiljevic and Sham M. Kakade and Shuran Song and Sujay Sanghavi and Fartash Faghri and Sewoong Oh and Luke Zettlemoyer and Kyle Lo and Alaaeldin El-Nouby and Hadi Pouransari and Alexander T Toshev and Stephanie Wang and Dirk Groeneveld and Luca Soldaini and Pang Wei Koh and Jenia Jitsev and Thomas Kollar and Alex Dimakis and Yair Carmon and Achal Dave and Ludwig Schmidt and Vaishaal Shankar},
-booktitle={The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
-year={2024},
-url={https://openreview.net/forum?id=CNWdWn47IE}
+@article{li2024datacomplm,
+  title   = {DataComp-LM: In search of the next generation of training sets for language models},
+  author  = {Jeffrey Li and Alex Fang and Georgios Smyrnis and Maor Ivgi and Matt Jordan and Samir Gadre and Hritik Bansal and Etash Guha and Sedrick Keh and Kushal Arora and Saurabh Garg and Rui Xin and Niklas Muennighoff and Reinhard Heckel and Jean Mercat and Mayee Chen and Suchin Gururangan and Mitchell Wortsman and Alon Albalak and Yonatan Bitton and Marianna Nezhurina and Amro Abbas and Cheng-Yu Hsieh and Dhruba Ghosh and Josh Gardner and Maciej Kilian and Hanlin Zhang and Rulin Shao and Sarah Pratt and Sunny Sanyal and Gabriel Ilharco and Giannis Daras and Kalyani Marathe and Aaron Gokaslan and Jieyu Zhang and Khyathi Chandu and Thao Nguyen and Igor Vasiljevic and Sham Kakade and Shuran Song and Sujay Sanghavi and Fartash Faghri and Sewoong Oh and Luke Zettlemoyer and Kyle Lo and Alaaeldin El-Nouby and Hadi Pouransari and Alexander Toshev and Stephanie Wang and Dirk Groeneveld and Luca Soldaini and Pang Wei Koh and Jenia Jitsev and Thomas Kollar and Alexandros G. Dimakis and Yair Carmon and Achal Dave and Ludwig Schmidt and Vaishaal Shankar},
+  journal = {arXiv preprint arXiv:2406.11794},
+  year    = {2024}
 }
 
 @article{raffel2020exploring,
-  title={Exploring the limits of transfer learning with a unified text-to-text transformer},
-  author={Raffel, Colin and Shazeer, Noam and Roberts, Adam and Lee, Katherine and Narang, Sharan and Matena, Michael and Zhou, Yanqi and Li, Wei and Liu, Peter J},
-  journal={Journal of machine learning research},
-  volume={21},
-  number={140},
-  pages={1--67},
-  year={2020}
+  title   = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer},
+  author  = {Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu},
+  journal = {Journal of Machine Learning Research},
+  volume  = {21},
+  number  = {140},
+  pages   = {1--67},
+  year    = {2020}
 }
 ```