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package main
import (
"fmt"
"log"
"go.jknobloc.com/x/dataset"
"go.jknobloc.com/x/llmc"
"go.jknobloc.com/x/shelf"
"go.jknobloc.com/x/tokenizer/bpe"
)
func tinyShakespeare() {
var reader *dataset.FileReader
if r, err := dataset.NewFileReader(shelf.Abs("data/tinyshakespeare/input.txt"), "*.txt"); err != nil {
log.Fatal(err)
} else {
reader = r
}
reader.SetDelimiters("\n\n")
var tokenizer *bpe.Tokenizer
if t, err := bpe.NewTokenizerFromFiles(shelf.Abs("models/gpt2/vocab.json"), shelf.Abs("models/gpt2/merges.txt")); err != nil {
log.Fatal(err)
} else {
tokenizer = t
}
result := make([]int64, 0)
for _, doc := range reader.Texts() {
ids := tokenizer.Tokenize(doc)
toks := make([]int64, len(ids)+1)
toks[0] = 50256 // end of text
for i, id := range ids {
toks[i+1] = int64(id)
}
result = append(result, toks...)
}
val := llmc.DataFile[int64]{
Model: llmc.GPT2,
Tokens: result[:32768],
}
train := llmc.DataFile[int64]{
Model: llmc.GPT2,
Tokens: result[32768:],
}
if _, err := llmc.Serialize(&val, shelf.Abs("llmc/tinyshakespeare/tiny_shakespeare_val.bin")); err != nil {
log.Fatal(err)
}
if _, err := llmc.Serialize(&train, shelf.Abs("llmc/tinyshakespeare/tiny_shakespeare_train.bin")); err != nil {
log.Fatal(err)
}
fmt.Println(val)
}
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