Promethean Creations & affilitates
Collection
Any and all models are other creations built by PRMTH studio • 1 item • Updated
Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
id: string
repo: string
commit: string
path: string
category: string
license_id: string
sha256: string
license_review_status: string
source_url: string
text_chars: int64
metadata: struct<repo: string, commit: string, path: string, category: string, license_id: string, sha256: str (... 55 chars omitted)
child 0, repo: string
child 1, commit: string
child 2, path: string
child 3, category: string
child 4, license_id: string
child 5, sha256: string
child 6, license_review_status: string
child 7, source_url: string
text: string
to
{'id': Value('string'), 'text': Value('string'), 'metadata': {'repo': Value('string'), 'commit': Value('string'), 'path': Value('string'), 'category': Value('string'), 'license_id': Value('string'), 'sha256': Value('string'), 'license_review_status': Value('string'), 'source_url': Value('string')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
id: string
repo: string
commit: string
path: string
category: string
license_id: string
sha256: string
license_review_status: string
source_url: string
text_chars: int64
metadata: struct<repo: string, commit: string, path: string, category: string, license_id: string, sha256: str (... 55 chars omitted)
child 0, repo: string
child 1, commit: string
child 2, path: string
child 3, category: string
child 4, license_id: string
child 5, sha256: string
child 6, license_review_status: string
child 7, source_url: string
text: string
to
{'id': Value('string'), 'text': Value('string'), 'metadata': {'repo': Value('string'), 'commit': Value('string'), 'path': Value('string'), 'category': Value('string'), 'license_id': Value('string'), 'sha256': Value('string'), 'license_review_status': Value('string'), 'source_url': Value('string')}}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1879, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
id string | text string | metadata dict |
|---|---|---|
42f6e957ea35b73c53c3 | use std::env;
use std::fs;
use std::io::{Read, Write};
use std::net::TcpListener;
use std::path::{Path, PathBuf};
use std::process::Command;
/// (slug, title, description, category)
const BOOKS: &[(&str, &str, &str, &str)] = &[
(
"c-cpp-book",
"Rust for C/C++ Programmers",
"Move semantics, ... | {
"repo": "microsoft/RustTraining",
"commit": "278f1d7ee0e5432c1a4e1e4d2a749796f60e7711",
"path": "xtask/src/main.rs",
"category": "code",
"license_id": "mit",
"sha256": "c68572b214e4b8a57f271a655029f6a33d3a61ca1096edaa0a57b249df099b1e",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW",
"source_url... |
c871b53754e0b311b67e | if let (Some(hi), Some(lo)) = (hex_val(b[i + 1]), hex_val(b[i + 2])) {
decoded.push(hi << 4 | lo);
i += 3;
continue;
}
}
decoded.push(b[i]);
i += 1;
}
String::from_utf8_lossy(&decoded).into_owned()
}
// ── serve ───────────────... | {
"repo": "microsoft/RustTraining",
"commit": "278f1d7ee0e5432c1a4e1e4d2a749796f60e7711",
"path": "xtask/src/main.rs",
"category": "code",
"license_id": "mit",
"sha256": "dc7fa6d50048f28930580e9489edff028efc1a4ed1df09c1a650e06cffe92008",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW",
"source_url... |
6672c584ba8ae04cc7a5 | use std::error::Error;
use std::fs::File;
use std::io::Read;
use std::path::Path;
use std::result::Result;
use tensorflow::Code;
use tensorflow::Graph;
use tensorflow::ImportGraphDefOptions;
use tensorflow::Session;
use tensorflow::SessionOptions;
use tensorflow::SessionRunArgs;
use tensorflow::Status;
use tensorflow::... | {
"repo": "tensorflow/rust",
"commit": "1ddf5a348037402f87d67c076bf3019857eae05f",
"path": "examples/addition.rs",
"category": "code",
"license_id": "apache-2.0",
"sha256": "bf44e1a873c11fd5d43a4902e1b0ca8f5e6a3eb5f8f61423fa3a7896b1c664db",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW",
"source_... |
25f5b71d59932c4f28cf | extern crate rand;
extern crate tensorflow;
use std::error::Error;
use std::result::Result;
use tensorflow::expr::{Compiler, Placeholder};
use tensorflow::Code;
use tensorflow::Graph;
use tensorflow::Session;
use tensorflow::SessionOptions;
use tensorflow::SessionRunArgs;
use tensorflow::Status;
use tensorflow::Tensor... | {
"repo": "tensorflow/rust",
"commit": "1ddf5a348037402f87d67c076bf3019857eae05f",
"path": "examples/expressions.rs",
"category": "code",
"license_id": "apache-2.0",
"sha256": "b50879f100f0c3a73bc0837160708bd555aaf34ce5b67a759480541d39a0d7ae",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW",
"sour... |
9b3b8995a05a568c4f7a | use std::error::Error;
use std::path::PathBuf;
use std::result::Result;
use tensorflow::Code;
use tensorflow::Graph;
use tensorflow::SavedModelBundle;
use tensorflow::SessionOptions;
use tensorflow::SessionRunArgs;
use tensorflow::Status;
use tensorflow::Tensor;
use tensorflow::DEFAULT_SERVING_SIGNATURE_DEF_KEY;
use t... | {
"repo": "tensorflow/rust",
"commit": "1ddf5a348037402f87d67c076bf3019857eae05f",
"path": "examples/mobilenetv3.rs",
"category": "code",
"license_id": "apache-2.0",
"sha256": "d95f63d72f41fcedc17f0d7ba737f62d8fff5ae4ec1822e7e0a2410784ca2e10",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW",
"sour... |
e0ab57d12a711b427b22 | use rand;
use std::error::Error;
use std::fs::File;
use std::io::Read;
use std::path::Path;
use std::result::Result;
use tensorflow::Code;
use tensorflow::Graph;
use tensorflow::ImportGraphDefOptions;
use tensorflow::Session;
use tensorflow::SessionOptions;
use tensorflow::SessionRunArgs;
use tensorflow::Status;
use te... | {
"repo": "tensorflow/rust",
"commit": "1ddf5a348037402f87d67c076bf3019857eae05f",
"path": "examples/regression.rs",
"category": "code",
"license_id": "apache-2.0",
"sha256": "d6c27bc9a3ae421b501c161de574e4089f6d86d93b5e261a2106293c056743f1",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW",
"sourc... |
0c252ee2752ce8f48f2b | use rand;
use std::error::Error;
use std::fs::File;
use std::io::Read;
use std::path::Path;
use std::result::Result;
use tensorflow::Code;
use tensorflow::Graph;
use tensorflow::ImportGraphDefOptions;
use tensorflow::Session;
use tensorflow::SessionOptions;
use tensorflow::SessionRunArgs;
use tensorflow::Status;
use te... | {
"repo": "tensorflow/rust",
"commit": "1ddf5a348037402f87d67c076bf3019857eae05f",
"path": "examples/regression_checkpoint.rs",
"category": "code",
"license_id": "apache-2.0",
"sha256": "08c0ed9d9fb92ef5eec5a497f33aa92a3608a9e594b1b963c18ca71d6f0ee6e2",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW... |
31e7a8b18cec53ed4ddc | use rand;
use std::error::Error;
use std::path::Path;
use std::result::Result;
use tensorflow::Code;
use tensorflow::Graph;
use tensorflow::SavedModelBundle;
use tensorflow::SessionOptions;
use tensorflow::SessionRunArgs;
use tensorflow::Status;
use tensorflow::Tensor;
#[cfg_attr(feature = "examples_system_alloc", glo... | {
"repo": "tensorflow/rust",
"commit": "1ddf5a348037402f87d67c076bf3019857eae05f",
"path": "examples/regression_savedmodel.rs",
"category": "code",
"license_id": "apache-2.0",
"sha256": "bd86d49d261a3875d92e375dcfba9e01dbccd86e6a7a075afaa3e6402b184d92",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW... |
59d4a825bce67c723513 | use std::env;
use std::error::Error;
use std::fs;
use std::io::ErrorKind;
use std::path::Path;
use std::result::Result;
use tensorflow::ops;
use tensorflow::train::AdadeltaOptimizer;
use tensorflow::train::MinimizeOptions;
use tensorflow::train::Optimizer;
use tensorflow::Code;
use tensorflow::DataType;
use tensorflow:... | {
"repo": "tensorflow/rust",
"commit": "1ddf5a348037402f87d67c076bf3019857eae05f",
"path": "examples/xor.rs",
"category": "code",
"license_id": "apache-2.0",
"sha256": "68da8d1bfa4378ab9abee4070b9868d953e1d718635cf31a73eca2c6d67e99b3",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW",
"source_url":... |
6666abe2783f3c03b3ff | use super::TensorType;
use libc::size_t;
use std::alloc;
use std::borrow::Borrow;
use std::borrow::BorrowMut;
use std::marker::PhantomData;
use std::mem;
use std::ops::Deref;
use std::ops::DerefMut;
use std::ops::Index;
use std::ops::IndexMut;
use std::ops::Range;
use std::ops::RangeFrom;
use std::ops::RangeFull;
use s... | {
"repo": "tensorflow/rust",
"commit": "1ddf5a348037402f87d67c076bf3019857eae05f",
"path": "src/buffer.rs",
"category": "code",
"license_id": "apache-2.0",
"sha256": "d9aa6fecbe584b0e54305390b7e1359dba33e598cbead2cbb004454662ec3401",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW",
"source_url": "... |
ff0b34c7e5d2cd77545e | use crate::{ops, Operation, Scope, Session, SessionRunArgs, Status, Tensor, Variable};
#[derive(Debug)]
struct SaveRestoreOps {
prefix_save: Operation,
prefix_restore: Operation,
save_op: Operation,
restore_op: Operation,
}
/// This struct supports saving and restoring variables using Tensorflow check... | {
"repo": "tensorflow/rust",
"commit": "1ddf5a348037402f87d67c076bf3019857eae05f",
"path": "src/checkpoint.rs",
"category": "code",
"license_id": "apache-2.0",
"sha256": "b4ffb132cea0347f13a4dff0cc5946440ca5e2b607243b5864dc426151d7cd95",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW",
"source_url... |
ca6624b7d9f117b3dbd0 | .ok_or(Status::new_set(Code::Internal, "Shape item not present")?)
})
.collect::<Result<Vec<u64>, Status>>()?
.as_ref(),
)
.with_values(&values[i_var])?;
values_fed.push(value_fed_as_tensor);
}
for i_var in 0... | {
"repo": "tensorflow/rust",
"commit": "1ddf5a348037402f87d67c076bf3019857eae05f",
"path": "src/checkpoint.rs",
"category": "code",
"license_id": "apache-2.0",
"sha256": "534d9e55fc9403fccf4dc9c0c56ce56237c9b245f313e0701e4af611fb4533f3",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW",
"source_url... |
5a2da2c6944ca04bf363 | //! C API extensions to experiment with eager execution of kernels.
//!
//! WARNING: The underlying C-API for the eager execution is not guaranteed to be
//! stable and can be changed without notice, which could result in breaking.
//!
//! This API requires the `eager` feature to be enabled as follows:
//!
//! ```
//! ... | {
"repo": "tensorflow/rust",
"commit": "1ddf5a348037402f87d67c076bf3019857eae05f",
"path": "src/eager.rs",
"category": "code",
"license_id": "apache-2.0",
"sha256": "a79597563a0b87f247dcbc4ed5531127a7a057bf63b402a6877db1cd78446488",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW",
"source_url": "h... |
a9f9832a5ae870ce5ddb | use std::ffi::CStr;
use tensorflow_sys as tf;
use crate::{Device, Result, Status};
/// Options that can be passed during context creation.
#[derive(Debug)]
pub struct ContextOptions {
inner: *mut tf::TFE_ContextOptions,
}
impl_new!(
ContextOptions,
TFE_NewContextOptions,
"Creates a blank set of conte... | {
"repo": "tensorflow/rust",
"commit": "1ddf5a348037402f87d67c076bf3019857eae05f",
"path": "src/eager/context.rs",
"category": "code",
"license_id": "apache-2.0",
"sha256": "5adff8f25b15a5a5b12c44b77667d3c488a6883747b698bc13b1b5b10b1bcb88",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW",
"source_... |
4dc51f9cdd27b17afc0c | #![allow(dead_code)] // until raw_ops are implemented
use libc::c_float;
use libc::c_int;
use libc::c_uchar;
use libc::c_void;
use libc::size_t;
use std::ffi::{CStr, CString};
use std::marker::PhantomData;
use std::mem::{self, ManuallyDrop};
use std::os::raw::c_void as std_c_void;
use std::ptr;
use crate::eager::{Con... | {
"repo": "tensorflow/rust",
"commit": "1ddf5a348037402f87d67c076bf3019857eae05f",
"path": "src/eager/op.rs",
"category": "code",
"license_id": "apache-2.0",
"sha256": "26679925168d9dc8d85ec3fd36869d23260d69cbf0ab2521b3ad898054548ac6",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW",
"source_url":... |
f4c6add56ba9a0e48190 | /// and return "non-ready" handles. Note that any handles contained in the `Op`
/// should not be mutated till the kernel execution actually finishes.
///
/// For sync execution, if any of the inputs to `op` are not ready, this call
/// will block till they become ready and then return when the kernel e... | {
"repo": "tensorflow/rust",
"commit": "1ddf5a348037402f87d67c076bf3019857eae05f",
"path": "src/eager/op.rs",
"category": "code",
"license_id": "apache-2.0",
"sha256": "1918e9ddefe6c63ea0394bc2e6cb98c441d618d9f10f0d05f9b9c487082a9cd0",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW",
"source_url":... |
3785ac58d1e204b6a142 | #![allow(non_snake_case)]
/// Code for Op's ut that mimics raw_opw.
use crate::eager::{TensorHandle, ToTensorHandle};
use crate::Result;
use super::Op;
/// Add
#[derive(::std::fmt::Debug)]
pub struct Add {
T: ::std::option::Option<crate::DataType>,
device_name: ::std::option::Option<String>,
}
impl ::std::de... | {
"repo": "tensorflow/rust",
"commit": "1ddf5a348037402f87d67c076bf3019857eae05f",
"path": "src/eager/op/op_test_util.rs",
"category": "code",
"license_id": "apache-2.0",
"sha256": "bfd17e69118c3349e0488e64258150963bb499c0818607c9199008ad9650b9c9",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW",
... |
3aa4d3c04f39c98733e0 | use crate::{
write_tensor_recursive, AnyTensor, DataType, Result, Shape, Tensor, TensorInner, TensorType,
};
use core::fmt;
use fmt::{Debug, Formatter};
use libc::c_int;
use std::{fmt::Display, ops::Deref};
use tensorflow_sys as tf;
/// A read-only tensor.
///
/// ReadonlyTensor is a [`Tensor`](Tensor) that does n... | {
"repo": "tensorflow/rust",
"commit": "1ddf5a348037402f87d67c076bf3019857eae05f",
"path": "src/eager/readonly_tensor.rs",
"category": "code",
"license_id": "apache-2.0",
"sha256": "55e0a8f63a41fb726b487a30b4b7d105fbe836d2765c2607acdcfe04b1ff3502",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW",
... |
bcb1e961659ace8e55a3 | use std::ffi::{CStr, CString};
use std::marker::PhantomData;
use tensorflow_sys as tf;
use crate::eager::{Context, ReadonlyTensor};
use crate::{AnyTensor, DataType, Result, Status, TensorType};
/// A handle to a tensor on a device.
///
/// Constructing a TensorHandle requires a reference to an execute context so tha... | {
"repo": "tensorflow/rust",
"commit": "1ddf5a348037402f87d67c076bf3019857eae05f",
"path": "src/eager/tensor_handle.rs",
"category": "code",
"license_id": "apache-2.0",
"sha256": "9c2c7b1873ca4de7229e4ced204f611ae760f14006ff1ad8f06b2d753adf7b96",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW",
"s... |
f750d5d430538b7a8cc5 | let ctx2 = Context::new(opts).unwrap();
let t = Tensor::new(&[2, 2]).with_values(&values).unwrap().freeze();
// Create a TensorHandle managed by the context `ctx2`.
let h = TensorHandle::new(&ctx2, &t).unwrap();
// Copy to GPU. This creates a new handle ... | {
"repo": "tensorflow/rust",
"commit": "1ddf5a348037402f87d67c076bf3019857eae05f",
"path": "src/eager/tensor_handle.rs",
"category": "code",
"license_id": "apache-2.0",
"sha256": "1ec7d43a6e52ff96d8bff9ffc862fb9cbb49a9d93e03b9bc5506ca1549237a39",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW",
"s... |
58b1c8ecef420cc0426d | //! This module builds computation graphs.
//!
//! This module is unfinished.
#![cfg(feature = "tensorflow_unstable")]
use super::Graph;
use super::Operation;
use super::Shape;
use super::Status;
use super::Tensor;
use super::TensorType;
use std::cmp::Eq;
use std::collections::HashMap;
use std::convert::From;
use std:... | {
"repo": "tensorflow/rust",
"commit": "1ddf5a348037402f87d67c076bf3019857eae05f",
"path": "src/expr.rs",
"category": "code",
"license_id": "apache-2.0",
"sha256": "3e604ad2dfcdcc6d85598e035a31bb3fe40415e29731e6e96496f120900bd7f3",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW",
"source_url": "ht... |
88578504841d666da096 | _children: &[Operation],
_id_gen: &mut dyn FnMut() -> String,
) -> Result<Operation, Status> {
let mut nd = graph.new_operation("Variable", &self.name)?;
let shape = self
.shape
.iter()
.map(|dim_size| Some(*dim_size as i64))
.collect();
... | {
"repo": "tensorflow/rust",
"commit": "1ddf5a348037402f87d67c076bf3019857eae05f",
"path": "src/expr.rs",
"category": "code",
"license_id": "apache-2.0",
"sha256": "56ead262c77fd907e6ca1437cfc51c688ab44a2147bebf9f8b955304a47e082a",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW",
"source_url": "ht... |
2fbc7254ea6a3a521df2 | let x = <Placeholder<f32>>::new_expr(&vec![2, 3], "x");
let w = <Variable<f32>>::new_expr(&vec![2, 3], "w");
let mut compiler = Compiler::new(&mut g);
compiler
.compile(x * w.clone() / w.clone() % w.clone() + w.clone() - w.clone())
.unwrap();
compiler
... | {
"repo": "tensorflow/rust",
"commit": "1ddf5a348037402f87d67c076bf3019857eae05f",
"path": "src/expr.rs",
"category": "code",
"license_id": "apache-2.0",
"sha256": "4659bdd4a1692a064333b60cbd15227bc24f57385436873e5645b868281a7f03",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW",
"source_url": "ht... |
49408e12a7eb06e3aeaa | use super::buffer::Buffer;
use super::AnyTensor;
use super::Code;
use super::DataType;
use super::Result;
use super::Shape;
use super::Status;
use super::Tensor;
use super::TensorType;
use libc::c_char;
use libc::c_float;
use libc::c_int;
use libc::c_uchar;
use libc::c_uint;
use libc::c_void;
use libc::size_t;
use std:... | {
"repo": "tensorflow/rust",
"commit": "1ddf5a348037402f87d67c076bf3019857eae05f",
"path": "src/graph.rs",
"category": "code",
"license_id": "apache-2.0",
"sha256": "992fb3f40c92d2736eefc4846bc65b7cd4e687c11042c8fee6073f23c9674ad7",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW",
"source_url": "h... |
1ff766c2bd435f9102a6 | )
.unwrap()),
}
}
/// Finds a unique operation name. The pattern must contain exactly one
/// '{}' placeholder to indicate where a unique ID can be inserted, e.g.
/// 'Add_{}' or 'while_loop_{}/Merge', and the function returns an integer
/// which, when inserted into the placeh... | {
"repo": "tensorflow/rust",
"commit": "1ddf5a348037402f87d67c076bf3019857eae05f",
"path": "src/graph.rs",
"category": "code",
"license_id": "apache-2.0",
"sha256": "f1f56e274b58fba25bb024f07b1985530955b3bbca7fbb531f4624080b431949",
"license_review_status": "REQUIRES_FILE_LEVEL_REVIEW",
"source_url": "h... |
End of preview.
Promethean Rust Corpus
A curated corpus of Rust source code, documentation, and exercises for research and development of Promethean language models.
Dataset overview
Category Samples Rust source code 5,524 Documentation 1,850 Exercises 236 Total 7,610
- Configured repositories: 12
- Successfully collected repositories: 11
- Collection generated: 2026-10-10 14:39 UTC
Files
code.jsonl: Rust source code samples.docs.jsonl: Documentation and explanatory text.exercises.jsonl: Exercise-related material.manifest.jsonl: Sample IDs, source paths, commit hashes, content hashes, and preliminary license metadata.repo_report.json: Repository collection results.dataset.yaml: Dataset schema and collection configuration.
Record format
Each JSONL record contains:
id: Stable identifier for the sample.text: Text content.metadata: Repository, commit, file path, category, source URL, and related provenance information.
Intended use
This dataset is intended for experimentation with Rust code understanding, code generation, programming education, and small-language-model training.
Data quality and licensing
This is an initial, automatically collected corpus. Samples have not necessarily been compiled, tested, or manually reviewed.
Repository-level license metadata is only an initial filter. It does not establish redistribution rights for every file. Individual file notices, applicable licenses, attribution requirements, and source terms must be reviewed before public redistribution or commercial use.
Exercise files are not guaranteed to contain verified solutions. No benchmark performance is implied by inclusion in this corpus.
Reproducibility
The manifest records source commit hashes where available.
Review repo_report.json for skipped repositories and collection
errors before using the corpus for training.
- Downloads last month
- 41