decoder
Datasets
All datasets matching “decoder”encoder-decoder-floresp-scorestemp-decoder-train-tokenizedSylReg-Decoderencoder-decoder-trial-stat
Encoder/decoder trial: encoder-marginal report
Dataset: G-reen/encoder-decoder-trial-stat
Rows analysed: 122,933 (every kept (encoder, decoder, source row) triple; source G-reen/cc-re-2021-filtered shard 0, 2000 rows of at most 4000 words)
Prompt file: prompts/indirect_reference_dataset_train.json (turn 0 encodes the document, turn 1 reconstructs it from the encoding alone)
Encoders: 9 (granite-4.2-30b-nvfp4 [0], Ornith-1.5-35B-A3B-NVFP4 [1], Llama-3.3-70B-Instruct-NVFP4 [2]… See the full description on the dataset page: https://huggingface.co/datasets/G-reen/encoder-decoder-trial-stat.encoder-decoder-trial-rewritten
Encoder/decoder trial: decoded texts
Turn-1 outputs: each config shard_<index> is one decoder's reconstruction of every encoder's encodings from G-reen/encoder-decoder-trial-encodings. encoder_model / decoder_model name the pair; response_0 is the encoding the decoder saw. Rows failing post-processing are in shard_<index>_trashed_data; per-run counters are in runs/.
dream-decoder-dataset
Dream Decoder Synthetic Dataset
Size: 1,200 examplesModality: Text (dream_text, interpretation)Fields: id, dream_text, interpretation, symbols, emotions, setting, actions, tags, source
How it was created
Base data generated with templated combinations (symbols, emotions, settings, actions).
~300 dreams were paraphrased with google/flan-t5-base to satisfy the "use a HF model" requirement.
Intended use
For demo/building a dream similarity & recommendation app.… See the full description on the dataset page: https://huggingface.co/datasets/samvlad/dream-decoder-dataset.