Add dataset card

README.md

@@ -11,51 +11,6 @@ tags:
 - latency
 - hardware
 license: mit
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-dataset_info:
-  features:
-  - name: Model
-    dtype: string
-  - name: Size
-    dtype: string
-  - name: Precision
-    dtype: string
-  - name: GPU_Type
-    dtype: string
-  - name: Num_GPUs
-    dtype: int64
-  - name: Serving_Engine
-    dtype: string
-  - name: Concurrency
-    dtype: string
-  - name: Tokens_per_sec
-    dtype: string
-  - name: TTFT_ms
-    dtype: string
-  - name: TPOT_ms
-    dtype: string
-  - name: Prompt_Tokens
-    dtype: float64
-  - name: Output_Tokens
-    dtype: float64
-  - name: Context_Window
-    dtype: string
-  - name: Quantization
-    dtype: string
-  - name: Source_URL
-    dtype: string
-  - name: Source_Notes
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 13670
-    num_examples: 80
-  download_size: 11299
-  dataset_size: 13670
 ---
 
 # Dataset Card: llm-perfdata
@@ -120,6 +75,10 @@ filtered = df[(df["Model"] == "DeepSeek-R1-Distill-Qwen") & (df["Precision"] ==
 
 Analysts typically pivot on `Serving_Engine` and `Concurrency` to compare throughput scaling. Cite the `Source_URL` when referencing numbers externally.
 
+## Attribution
+
+**If you use this dataset, you must provide attribution to Metrum AI.** Please cite this dataset using the citation format provided below.
+
 ## License
 
 This dataset is released under the MIT License.
@@ -138,13 +97,37 @@ furnished to do so, subject to the following conditions:
 The above copyright notice and this permission notice shall be included in all
 copies or substantial portions of the Software.
 
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+**THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
+SOFTWARE.**
+
+### No Warranty and Limitation of Liability
+
+**THIS DATASET IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED.** The data is compiled from publicly available sources and may contain errors, inaccuracies, or become outdated. Metrum AI makes no representations or warranties regarding the accuracy, completeness, reliability, or suitability of this dataset for any purpose.
+
+**IN NO EVENT SHALL METRUM AI BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY**, whether in an action of contract, tort, or otherwise, arising from, out of, or in connection with this dataset or the use or other dealings in this dataset. This includes, without limitation, direct, indirect, incidental, special, consequential, or punitive damages, or any loss of profits, revenues, data, use, goodwill, or other intangible losses.
+
+Use of this dataset is at your own risk.
+
+### Additional Disclaimers
+
+**No Endorsement**: The inclusion of any model, hardware, software, or service in this dataset does not constitute an endorsement, recommendation, or approval by Metrum AI. All trademarks, product names, and company names are the property of their respective owners.
+
+**Third-Party Sources**: This dataset aggregates data from publicly available third-party sources. Metrum AI does not control, verify, or guarantee the accuracy of information from these sources. Users should independently verify any information before relying on it.
+
+**No Professional Advice**: This dataset is provided for informational and research purposes only. It does not constitute professional, technical, or business advice. Users should consult with qualified professionals for decisions based on this data.
+
+**Data Completeness**: This dataset may not include all available performance benchmarks. The absence of data for a particular model, hardware configuration, or metric does not imply that such data does not exist or is not relevant.
+
+**No Guarantee of Availability**: Metrum AI does not guarantee that this dataset will be available at all times or that it will be updated regularly. The dataset may be modified, discontinued, or removed without notice.
+
+**Forward-Looking Statements**: Any performance metrics or benchmarks in this dataset reflect historical or current conditions and may not be indicative of future performance.
+
+**User Responsibility**: Users are solely responsible for their use of this dataset, including compliance with applicable laws, regulations, and third-party rights. Users should conduct their own due diligence before making any decisions based on this data.
 
 ## Citation