Compare
LibriSpeech vs GSM8K Dataset
Side-by-side comparison of LibriSpeech (Dataset) and GSM8K Dataset (Dataset).
Live Data← All Comparisons
80.2
Composite Score
LibriSpeech
Dataset · OpenSLR / Johns Hopkins University
79.8
Composite Score
GSM8K Dataset
Dataset · OpenAI
Overall Winner
LibriSpeech
LibriSpeech wins 3 of 6 categories · GSM8K Dataset wins 2 of 6 categories
Score Comparison
LibriSpeechvsGSM8K Dataset
Composite
80.2:79.8
Adoption
95:94
Quality
92:91
Freshness
55:74
Citations
95:96
Engagement
0:0
Details
FieldLibriSpeechGSM8K Dataset
TypeDatasetDataset
ProviderOpenSLR / Johns Hopkins UniversityOpenAI
Version20151.0
Categoryspeech-audiobenchmarks
Pricingfreeopen-source
LicenseCC-BY-4.0MIT
DescriptionLibriSpeech is a corpus of approximately 1,000 hours of 16kHz read English speech derived from LibriVox audiobooks, split into clean and other subsets of 100h and 360h for training, with dedicated development and test sets. It has become the de facto standard benchmark for English ASR systems.Grade School Math 8K is a dataset of 8,500 high-quality linguistically diverse grade school math word problems requiring 2-8 step reasoning. Created by OpenAI, GSM8K is widely used for evaluating multi-step arithmetic reasoning and the effectiveness of chain-of-thought prompting.
Capabilities
Only LibriSpeech
speech-recognitionspeech-synthesisspeaker-identification
Shared
None
Only GSM8K Dataset
math-evaluationreasoning-benchmarkchain-of-thought
Integrations
Only LibriSpeech
HuggingFace DatasetstorchaudioESPnet
Shared
None
Only GSM8K Dataset
huggingface-datasetslm-eval-harness
Tags
Only LibriSpeech
automatic-speech-recognitionASRenglishaudiobooks
Shared
benchmark
Only GSM8K Dataset
mathgrade-schoolword-problemschain-of-thought
Use Cases
LibriSpeech
- ▸model training
- ▸benchmark
- ▸speech research
GSM8K Dataset
- ▸model evaluation
- ▸math reasoning
- ▸chain of thought research
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