Update README.md

README.md

@@ -8,11 +8,12 @@ tags:
 - pretraining
 - web-data
 - fineweb
+- text-generation
 size_categories:
 - 1B<n<10B
 ---
 
-# FineWeb-6B: First 6 Billion Tokens
+# FineWeb-6B: First 6B Tokens
 
 A curated subset of the [FineWeb](https://huggingface.co/datasets/HuggingFaceFW/fineweb) dataset containing the first 6 billion tokens, designed for efficient language model pre-training experiments.
 
@@ -39,7 +40,7 @@ This dataset contains high-quality web text data suitable for pre-training small
 from datasets import load_dataset
 
 # Load the parquet file
-dataset = load_dataset("ifkash/fineweb-6b")
+dataset = load_dataset("weights-and-wires/fineweb-6b")
 ```
 
 ### Loading Pre-tokenized Data
@@ -63,7 +64,7 @@ print(f"Validation tokens: {len(val_data):,}")
 from transformers import PreTrainedTokenizerFast
 
 tokenizer = PreTrainedTokenizerFast.from_pretrained(
-  "ifkash/fineweb-6b",
+  "weights-and-wires/fineweb-6b",
   subfolder="tokenized"
 )
 
@@ -128,7 +129,7 @@ The binary files contain:
 
 ## Training a Model
 
-This dataset was used to train [ifkash/smol-llama](https://huggingface.co/ifkash/smol-llama), a 360M parameter LLaMA-style model. See that repository for training code and details.
+This dataset was used to train [weights-and-wires/smol-llama](https://huggingface.co/weights-and-wires/smol-llama), a 360M parameter LLaMA-style model. See that repository for training code and details.
 
 ### Example Training Loop
 
@@ -165,12 +166,13 @@ The tokenizer is a byte-level BPE (Byte Pair Encoding) tokenizer with:
 If you use this dataset, please cite the original FineWeb dataset:
 
 ```bibtex
-@software{penedo2024fineweb,
-  author = {Penedo, Guilherme and Kydlíček, Hynek and Lozhkov, Anton and Mitchell, Margaret and Raffel, Colin and Von Werra, Leandro and Wolf, Thomas},
-  title = {FineWeb: decanting the web for the finest text data at scale},
-  month = April,
-  year = 2024,
-  url = {https://huggingface.co/datasets/HuggingFaceFW/fineweb}
+@inproceedings{
+  penedo2024the,
+  title={The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale},
+  author={Guilherme Penedo and Hynek Kydl{\'\i}{\v{c}}ek and Loubna Ben allal and Anton Lozhkov and Margaret Mitchell and Colin Raffel and Leandro Von Werra and Thomas Wolf},
+  booktitle={The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
+  year={2024},
+  url={https://openreview.net/forum?id=n6SCkn2QaG}
 }
 ```
 
@@ -181,4 +183,4 @@ This dataset is released under the [ODC-BY](https://opendatacommons.org/licenses
 ## Acknowledgments
 
 - Original dataset: [HuggingFaceFW/fineweb](https://huggingface.co/datasets/HuggingFaceFW/fineweb)
-- Pre-training project: [ifkash/smol-llama](https://huggingface.co/ifkash/smol-llama)
+- Pre-training project: [weights-and-wires/smol-llama](https://huggingface.co/weights-and-wires/smol-llama)